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ORCIDBing Qin 0001
Person information
- affiliation: Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- affiliation (PhD 2005): Harbin Institute of Technology, Department of Computer Science, China
Other persons with the same name
- Bing Qin 0002 — Air Force Engineering University, Xi'an, China
- Bing Qin 0003 — Suqian First Hospital, 9Department of Ophthalmology, China
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2020 – today
- 2024
[j60]Tao He
, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38(2): 343-371 (2024)- [j59]Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu:
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? Mach. Intell. Res. 21(2): 283-293 (2024) - [j58]Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Reasoning subevent relation over heterogeneous event graph. Knowl. Inf. Syst. 66(9): 5311-5333 (2024) - [j57]Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Event Causality Identification via Competitive-Cooperative Cognition Networks. Knowl. Based Syst. 300: 112139 (2024) - [j56]Zhangyin Feng, Duyu Tang, Xiaocheng Feng, Cong Zhou, Junwei Liao, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without wordpieces: learning over a vocabulary of millions of words. Int. J. Mach. Learn. Cybern. 15(9): 3989-3998 (2024) - [j55]Hao Yang, Zhengming Si, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin:
MACSA: A multimodal aspect-category sentiment analysis dataset with multimodal fine-grained aligned annotations. Multim. Tools Appl. 83(34): 81279-81297 (2024) - [j54]Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu:
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks 176: 106383 (2024) - [j53]Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 15(3): 1264-1278 (2024) - [j52]Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3694-3708 (2024) - [j51]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26: 1957-1968 (2024) - [c191]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. AAAI 2024: 18144-18152 - [c190]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. AAAI 2024: 19126-19134 - [c189]Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. AAAI 2024: 21958-21966 - [c188]Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. ACL (1) 2024: 1044-1069 - [c187]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) 2024: 1173-1203 - [c186]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. ACL (1) 2024: 1204-1228 - [c185]Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. ACL (1) 2024: 1229-1248 - [c184]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. ACL (Findings) 2024: 3879-3890 - [c183]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. ACL (1) 2024: 4768-4791 - [c182]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. ACL (1) 2024: 6385-6432 - [c181]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu:
AS-ES Learning: Towards efficient CoT learning in small models. ACL (Findings) 2024: 10686-10697 - [c180]Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. ACL (Findings) 2024: 11157-11176 - [c179]Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. ACL (1) 2024: 11641-11661 - [c178]Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. ACL (1) 2024: 11991-12011 - [c177]Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. ACL (Findings) 2024: 12305-12322 - [c176]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. ACL (Findings) 2024: 14095-14113 - [c175]Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. ACL (1) 2024: 14455-14469 - [c174]Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. LREC/COLING 2024: 4498-4508 - [c173]Bichen Wang, Yuzhe Zi, Yanyan Zhao, Pengfei Deng, Bing Qin:
ESDM: Early Sensing Depression Model in Social Media Streams. LREC/COLING 2024: 6288-6298 - [c172]Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin:
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation. LREC/COLING 2024: 7901-7912 - [c171]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. LREC/COLING 2024: 14215-14226 - [c170]Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin:
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING 2024: 14937-14953 - [c169]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. LREC/COLING 2024: 16527-16538 - [c168]Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin:
BC-Prover: Backward Chaining Prover for Formal Theorem Proving. EMNLP 2024: 3059-3077 - [c167]Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Advancing Large Language Model Attribution through Self-Improving. EMNLP 2024: 3822-3836 - [c166]Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. EMNLP 2024: 5028-5041 - [c165]Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. EMNLP (Findings) 2024: 6074-6091 - [c164]Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. EMNLP 2024: 7288-7301 - [c163]Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin:
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis. EMNLP (Findings) 2024: 7904-7928 - [c162]Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin:
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models. EMNLP (Findings) 2024: 8573-8591 - [c161]Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. EMNLP (Findings) 2024: 9959-9977 - [c160]Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. EMNLP 2024: 10803-10821 - [c159]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. ICASSP 2024: 11576-11580 - [c158]Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. ICASSP 2024: 11661-11665 - [c157]Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin:
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction. ICASSP 2024: 12647-12651 - [c156]Bichen Wang, Pengfei Deng, Song Chen, Yanyan Zhao, Bing Qin:
Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media. ICWSM 2024: 1599-1610 - [c155]Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. IJCAI 2024: 1065-1073 - [c154]Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. NLPCC (4) 2024: 67-80 - [i145]Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. CoRR abs/2401.05072 (2024) - [i144]Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. CoRR abs/2401.08295 (2024) - [i143]Yaojia Lv, Haojie Pan, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. CoRR abs/2401.08438 (2024) - [i142]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. CoRR abs/2401.11403 (2024) - [i141]Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. CoRR abs/2401.16107 (2024) - [i140]Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu:
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. CoRR abs/2402.01349 (2024) - [i139]Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. CoRR abs/2402.10073 (2024) - [i138]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin:
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. CoRR abs/2402.11537 (2024) - [i137]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu:
AS-ES Learning: Towards Efficient CoT Learning in Small Models. CoRR abs/2403.01969 (2024) - [i136]Xin Lu, Yanyan Zhao, Bing Qin:
Vanilla Transformers are Transfer Capability Teachers. CoRR abs/2403.01994 (2024) - [i135]Xin Lu, Yanyan Zhao, Bing Qin:
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models. CoRR abs/2403.02436 (2024) - [i134]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. CoRR abs/2403.08377 (2024) - [i133]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024) - [i132]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. CoRR abs/2403.16662 (2024) - [i131]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. CoRR abs/2404.01677 (2024) - [i130]Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu:
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR abs/2404.12715 (2024) - [i129]Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua:
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR abs/2405.13820 (2024) - [i128]Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin:
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. CoRR abs/2405.14488 (2024) - [i127]Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin:
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. CoRR abs/2405.20092 (2024) - [i126]Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. CoRR abs/2406.01549 (2024) - [i125]Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin:
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models. CoRR abs/2406.01983 (2024) - [i124]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. CoRR abs/2406.02911 (2024) - [i123]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. CoRR abs/2406.05374 (2024) - [i122]Hao Yang, Yanyan Zhao, Yang Wu, Shilong Wang, Tian Zheng, Hongbo Zhang, Wanxiang Che, Bing Qin:
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey. CoRR abs/2406.08068 (2024) - [i121]Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Bing Qin:
Rethinking Entity-level Unlearning for Large Language Models. CoRR abs/2406.15796 (2024) - [i120]Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu:
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR abs/2406.18020 (2024) - [i119]Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. CoRR abs/2406.18227 (2024) - [i118]Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. CoRR abs/2406.19820 (2024) - [i117]Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. CoRR abs/2407.00569 (2024) - [i116]Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. CoRR abs/2407.02936 (2024) - [i115]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. CoRR abs/2407.08937 (2024) - [i114]Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. CoRR abs/2408.03079 (2024) - [i113]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. CoRR abs/2408.04568 (2024) - [i112]Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao:
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. CoRR abs/2408.11431 (2024) - [i111]Li Du, Zhouhao Sun, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. CoRR abs/2408.12942 (2024) - [i110]Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin:
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. CoRR abs/2409.13199 (2024) - [i109]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads. CoRR abs/2409.15820 (2024) - [i108]Yexing Du, Ziyang Ma, Yifan Yang, Keqi Deng, Xie Chen, Bo Yang, Yang Xiang, Ming Liu, Bing Qin:
CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought. CoRR abs/2409.19510 (2024) - [i107]Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. CoRR abs/2410.01490 (2024) - [i106]Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. CoRR abs/2410.04087 (2024) - [i105]Weixiang Zhao, Yulin Hu, Jiahe Guo, Xingyu Sui, Tongtong Wu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Lens: Rethinking Multilingual Enhancement for Large Language Models. CoRR abs/2410.04407 (2024) - [i104]Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, Bing Qin:
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. CoRR abs/2410.04524 (2024) - 2023
- [j50]Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin:
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network. Cogn. Syst. Res. 79: 15-23 (2023) - [j49]Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin:
TAGNet: a tiny answer-guided network for conversational question generation. Int. J. Mach. Learn. Cybern. 14(5): 1921-1932 (2023) - [c153]Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. AAAI 2023: 3715-3723 - [c152]Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI 2023: 12580-12588 - [c151]Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. AAAI 2023: 14020-14028 - [c150]Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu:
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) 2023: 2868-2882 - [c149]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. ACL (1) 2023: 3802-3818 - [c148]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) 2023: 4856-4873 - [c147]Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. ACL (Findings) 2023: 4939-4955 - [c146]Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin:
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. ACL (Findings) 2023: 6725-6739 - [c145]Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu:
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. ACL (Findings) 2023: 9633-9651 - [c144]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. ACL (1) 2023: 12590-12616 - [c143]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. ACL (Findings) 2023: 12630-12641 - [c142]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) 2023: 13277-13291 - [c141]Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. ACL (Findings) 2023: 13331-13344 - [c140]Wenjia Yi, Yanyan Zhao, Jianhua Yuan, Weixiang Zhao, Bing Qin:
Improving Affective Event Classification with Multi-perspective Knowledge Injection. CCL 2023: 400-416 - [c139]Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. EMNLP (Findings) 2023: 1101-1112 - [c138]Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu:
In-context Learning for Few-shot Multimodal Named Entity Recognition. EMNLP (Findings) 2023: 2969-2979 - [c137]Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. EMNLP (Findings) 2023: 6790-6804 - [c136]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) 2023: 7572-7590 - [c135]Bichen Wang, Pengfei Deng, Yanyan Zhao, Bing Qin:
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health. EMNLP (Findings) 2023: 10149-10160 - [c134]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. EMNLP (Findings) 2023: 11111-11126 - [c133]Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu:
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. EMNLP (Findings) 2023: 12160-12173 - [c132]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu:
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. EMNLP (Findings) 2023: 12608-12618 - [c131]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP 2023: 14855-14870 - [c130]Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. EMNLP (Findings) 2023: 15218-15233 - [c129]Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu:
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. ICASSP 2023: 1-2 - [c128]Xin Lu, Weixiang Zhao, Yanyan Zhao, Bing Qin, Zhentao Zhang, Junjie Wen:
A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations. ICASSP 2023: 1-5 - [c127]Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. IJCAI 2023: 1177-1185 - [c126]Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. IJCAI 2023: 5039-5048 - [c125]Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling. NLPCC (3) 2023: 149-161 - [c124]Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling. NLPCC (3) 2023: 399-411 - [c123]Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning. NLPCC (1) 2023: 657-668 - [c122]Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition. PRCV (7) 2023: 396-408 - [c121]Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, Bing Qin:
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level. WASSA@ACL 2023: 574-580 - [c120]Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. WSDM 2023: 832-840 - [e4]Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han, Gaoqi Rao, Yubo Chen:
Chinese Computational Linguistics - 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023, Proceedings. Lecture Notes in Computer Science 14232, Springer 2023, ISBN 978-981-99-6206-8 [contents] - [i103]Xiachong Feng, Xiaocheng Feng, Bing Qin:
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. CoRR abs/2301.09237 (2023) - [i102]Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. CoRR abs/2302.09736 (2023) - [i101]Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. CoRR abs/2304.03512 (2023) - [i100]Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt. CoRR abs/2304.05642 (2023) - [i99]Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu:
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. CoRR abs/2304.06975 (2023) - [i98]Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, Bing Qin:
Is ChatGPT Equipped with Emotional Dialogue Capabilities? CoRR abs/2304.09582 (2023) - [i97]Xiachong Feng, Xiaocheng Feng, Bing Qin:
The Role of Summarization in Generative Agents: A Preliminary Perspective. CoRR abs/2305.01253 (2023) - [i96]Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin:
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. CoRR abs/2305.03296 (2023) - [i95]Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong:
Improving Cross-Task Generalization with Step-by-Step Instructions. CoRR abs/2305.04429 (2023) - [i94]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. CoRR abs/2305.07375 (2023) - [i93]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. CoRR abs/2305.10709 (2023) - [i92]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR abs/2305.11595 (2023) - [i91]Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin:
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. CoRR abs/2305.13697 (2023) - [i90]Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin:
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. CoRR abs/2305.15033 (2023) - [i89]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. CoRR abs/2305.15718 (2023) - [i88]Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. CoRR abs/2305.16811 (2023) - [i87]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. CoRR abs/2305.17458 (2023) - [i86]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. CoRR abs/2306.16176 (2023) - [i85]Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin:
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. CoRR abs/2306.17034 (2023) - [i84]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. CoRR abs/2307.05355 (2023) - [i83]Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization. CoRR abs/2308.03275 (2023) - [i82]Yanrui Du, Sendong Zhao, Yuhan Chen, Rai Bai, Jing Liu, Hua Wu, Haifeng Wang, Bing Qin:
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue. CoRR abs/2309.04162 (2023) - [i81]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification. CoRR abs/2309.04174 (2023) - [i80]Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu:
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR abs/2309.04175 (2023) - [i79]Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin:
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature. CoRR abs/2309.04198 (2023) - [i78]Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. CoRR abs/2309.05203 (2023) - [i77]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. CoRR abs/2309.15402 (2023) - [i76]Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. CoRR abs/2310.05149 (2023) - [i75]Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. CoRR abs/2310.13610 (2023) - [i74]Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, Bing Qin:
An Early Evaluation of GPT-4V(ision). CoRR abs/2310.16534 (2023) - [i73]Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. CoRR abs/2311.04816 (2023) - [i72]Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. CoRR abs/2311.05232 (2023) - [i71]Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. CoRR abs/2311.05876 (2023) - [i70]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. CoRR abs/2311.17667 (2023) - [i69]Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin:
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak. CoRR abs/2312.04127 (2023) - [i68]Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia Lv, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models. CoRR abs/2312.04889 (2023) - [i67]Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi:
Emage: Non-Autoregressive Text-to-Image Generation. CoRR abs/2312.14988 (2023) - [i66]Liang Zhao, Xiaocheng Feng, Xiachong Feng, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding. CoRR abs/2312.17044 (2023) - 2022
- [j48]Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang:
Biomedical evidence engineering for data-driven discovery. Bioinform. 38(23): 5270-5278 (2022) - [j47]Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022) - [j46]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254: 109488 (2022) - [j45]Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu:
Learning to refine source representations for neural machine translation. Int. J. Mach. Learn. Cybern. 13(8): 2199-2212 (2022) - [j44]Jianhua Yuan, Yanyan Zhao, Bing Qin:
Learning to share by masking the non-shared for multi-domain sentiment classification. Int. J. Mach. Learn. Cybern. 13(9): 2711-2724 (2022) - [j43]Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Interactive Gated Decoder for Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 72:1-72:19 (2022) - [j42]Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2357-2367 (2022) - [j41]Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - [c119]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) 2022: 432-446 - [c118]Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. ACL (Findings) 2022: 1397-1406 - [c117]Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638 - [c116]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin:
Improving Controllable Text Generation with Position-Aware Weighted Decoding. ACL (Findings) 2022: 3449-3467 - [c115]Xiachong Feng, Xiaocheng Feng, Bing Qin:
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. DialDoc@ACL 2022: 1-12 - [c114]Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin:
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. CCKS 2022: 111-122 - [c113]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431 - [c112]Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu:
CogBERT: Cognition-Guided Pre-trained Language Models. COLING 2022: 3210-3225 - [c111]Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin:
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection. COLING 2022: 6846-6858 - [c110]Weixiang Zhao, Yanyan Zhao, Bing Qin:
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations. COLING 2022: 7020-7030 - [c109]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
A Distributional Lens for Multi-Aspect Controllable Text Generation. EMNLP 2022: 1023-1043 - [c108]Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu:
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. EMNLP (Findings) 2022: 3200-3213 - [c107]Hao Yang, Yanyan Zhao, Bing Qin:
Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis. EMNLP 2022: 3324-3335 - [c106]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022: 6426-6438 - [c105]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
Unifying the Convergences in Multilingual Neural Machine Translation. EMNLP 2022: 6822-6835 - [c104]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. EMNLP 2022: 7587-7598 - [c103]Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. EMNLP 2022: 8901-8913 - [c102]Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang, Ruifeng Xu:
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. EMNLP 2022: 10437-10449 - [c101]Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. IJCAI 2022: 5453-5460 - [c100]Yang Wu, Zhenyu Zhang, Pai Peng, Yanyan Zhao, Bing Qin:
Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition. MuSe @ ACM Multimedia 2022: 101-109 - [c99]Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu:
Masking and Generation: An Unsupervised Method for Sarcasm Detection. SIGIR 2022: 2172-2177 - [e3]Bing Qin, Haofen Wang, Ming Liu, Jiangtao Zhang:
CCKS 2021 - Evaluation Track - 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers. Communications in Computer and Information Science 1553, Springer 2022, ISBN 978-981-19-0712-8 [contents] - [i65]Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words. CoRR abs/2202.12142 (2022) - [i64]Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. CoRR abs/2203.00257 (2022) - [i63]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. CoRR abs/2205.01620 (2022) - [i62]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR abs/2205.05849 (2022) - [i61]Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022) - [i60]Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. CoRR abs/2205.12593 (2022) - [i59]Hao Yang, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin:
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations. CoRR abs/2206.13969 (2022) - [i58]Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin:
VEM2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. CoRR abs/2207.01528 (2022) - [i57]Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. CoRR abs/2207.13005 (2022) - [i56]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. CoRR abs/2208.09884 (2022) - [i55]Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? CoRR abs/2208.14509 (2022) - [i54]Pengfei Deng, Jianhua Yuan, Yanyan Zhao, Bing Qin:
Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition. CoRR abs/2209.02276 (2022) - [i53]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR abs/2209.06453 (2022) - [i52]Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition. CoRR abs/2209.09768 (2022) - [i51]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
A Distributional Lens for Multi-Aspect Controllable Text Generation. CoRR abs/2210.02889 (2022) - [i50]Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. CoRR abs/2210.03884 (2022) - [i49]Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin:
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia. CoRR abs/2211.00732 (2022) - [i48]Ming Liu, Yaojia Lv, Jingrun Zhang, Ruiji Fu, Bing Qin:
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations. CoRR abs/2211.03612 (2022) - [i47]Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. CoRR abs/2212.02995 (2022) - [i46]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. CoRR abs/2212.08307 (2022) - [i45]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. CoRR abs/2212.08322 (2022) - [i44]Jianhua Yuan, Yanyan Zhao, Bing Qin:
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning. CoRR abs/2212.10392 (2022) - 2021
- [j40]Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [j39]Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu:
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. Sci. China Inf. Sci. 64(9) (2021) - [j38]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [j37]Yang Wu, Yanyan Zhao, Xin Lu, Bing Qin, Yin Wu, Jian Sheng, Jinlong Li:
Modeling Incongruity between Modalities for Multimodal Sarcasm Detection. IEEE Multim. 28(2): 86-95 (2021) - [j36]Xiaocheng Feng, Heng Gong, Yuyu Chen, Yawei Sun, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning number reasoning for numerical table-to-text generation. Int. J. Mach. Learn. Cybern. 12(8): 2269-2280 (2021) - [j35]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang:
Pre-Training With Whole Word Masking for Chinese BERT. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3504-3514 (2021) - [j34]Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021) - [c98]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. ACL/IJCNLP (1) 2021: 1479-1491 - [c97]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363 - [c96]Yang Wu, Zijie Lin, Yanyan Zhao, Bing Qin, Li-Nan Zhu:
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 4730-4738 - [c95]Li Du, Xiao Ding, Ting Liu, Bing Qin:
Learning Event Graph Knowledge for Abductive Reasoning. ACL/IJCNLP (1) 2021: 5181-5190 - [c94]Xin Zhang, Jianhua Yuan, Yanyan Zhao, Bing Qin:
Knowledge Enhanced Target-Aware Stance Detection on Tweets. CCKS 2021: 171-184 - [c93]Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CIKM 2021: 4135-4144 - [c92]Xiachong Feng, Xiaocheng Feng, Bing Qin:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CCL 2021: 127-142 - [c91]Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin:
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. EMNLP (Findings) 2021: 1102-1113 - [c90]Xin Lu, Yijian Tian, Yanyan Zhao, Bing Qin:
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots. EMNLP (Findings) 2021: 1956-1969 - [c89]Xinwei Geng, Xiaocheng Feng, Bing Qin:
Learning to Rewrite for Non-Autoregressive Neural Machine Translation. EMNLP (1) 2021: 3297-3308 - [c88]Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Neural Natural Logic Inference for Interpretable Question Answering. EMNLP (1) 2021: 3673-3684 - [c87]Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng:
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. IJCAI 2021: 3808-3814 - [c86]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021: 1-8 - [c85]Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification. NLPCC (2) 2021: 260-271 - [c84]Yang Wu, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis. NLPCC (1) 2021: 595-606 - [e2]Bing Qin, Zhi Jin, Haofen Wang, Jeff Z. Pan, Yongbin Liu, Bo An:
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction - 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings. Communications in Computer and Information Science 1466, Springer 2021, ISBN 978-981-16-6470-0 [contents] - [i43]Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu:
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. CoRR abs/2104.08480 (2021) - [i42]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. CoRR abs/2104.12377 (2021) - [i41]Yi-Chong Huang, Xia-Chong Feng, Xiao-Cheng Feng, Bing Qin:
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. CoRR abs/2104.14839 (2021) - [i40]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. CoRR abs/2105.12544 (2021) - [i39]Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. CoRR abs/2107.03175 (2021) - [i38]Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin:
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. CoRR abs/2107.09852 (2021) - [i37]Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CoRR abs/2108.09104 (2021) - [i36]Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. CoRR abs/2112.08723 (2021) - 2020
- [j33]Lydia Lazib, Bing Qin, Yanyan Zhao, Weinan Zhang, Ting Liu:
A syntactic path-based hybrid neural network for negation scope detection. Frontiers Comput. Sci. 14(1): 84-94 (2020) - [j32]Xiaocheng Feng, Zhangyin Feng, Wanlong Zhao, Bing Qin, Ting Liu:
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences. Mob. Networks Appl. 25(5): 1722-1728 (2020) - [j31]Yijia Liu, Wanxiang Che, Yuxuan Wang, Bo Zheng, Bing Qin, Ting Liu:
Deep Contextualized Word Embeddings for Universal Dependency Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 9:1-9:17 (2020) - [j30]Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. 28: 813-824 (2020) - [j29]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - [c83]Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. AAAI 2020: 7716-7723 - [c82]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020: 8960-8967 - [c81]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c80]Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM 2020: 275-280 - [c79]Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING 2020: 1978-1988 - [c78]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING 2020: 2642-2652 - [c77]Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin:
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations. COLING 2020: 4078-4088 - [c76]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. EMNLP (Findings) 2020: 657-668 - [c75]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c74]Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu:
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. EMNLP (Findings) 2020: 2905-2914 - [c73]Ming Liu, Zihao Zheng, Bing Qin, Yitong Liu:
A Passage-Level Text Similarity Calculation. NLPCC (1) 2020: 207-218 - [c72]Zhenyu Hu, Ming Liu, Yin Wu, Jiexin Xu, Bing Qin, Jinlong Li:
Document-Level Event Subject Pair Recognition. NLPCC (1) 2020: 283-293 - [c71]Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu:
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. SemEval@COLING 2020: 354-360 - [i35]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i34]Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. CoRR abs/2002.10210 (2020) - [i33]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR abs/2004.05080 (2020) - [i32]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. CoRR abs/2004.13922 (2020) - [i31]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? CoRR abs/2005.00979 (2020) - [i30]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. CoRR abs/2006.09610 (2020) - [i29]Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CoRR abs/2010.10044 (2020) - [i28]Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. CoRR abs/2012.01031 (2020) - [i27]Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu:
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. CoRR abs/2012.03502 (2020)
2010 – 2019
- 2019
- [j28]Han Xue, Bing Qin, Ting Liu, Shen Liu:
Tag recommendation based on topic hierarchy of folksonomy. Int. J. Comput. Sci. Eng. 20(1): 49-58 (2019) - [j27]Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu:
Negation scope detection with recurrent neural networks models in review texts. Int. J. High Perform. Comput. Netw. 13(2): 211-221 (2019) - [j26]Yibo Sun, Zhao Yan, Duyu Tang, Nan Duan, Bing Qin:
Content-based table retrieval for web queries. Neurocomputing 349: 183-189 (2019) - [j25]Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu:
Collective entity linking: a random walk-based perspective. Knowl. Inf. Syst. 60(3): 1611-1643 (2019) - [j24]Ming Liu, Gu Gong, Bing Qin, Ting Liu:
A Multi-View-Based Collective Entity Linking Method. ACM Trans. Inf. Syst. 37(2): 23:1-23:29 (2019) - [c70]Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin:
Exploring Answer Stance Detection with Recurrent Conditional Attention. AAAI 2019: 7426-7433 - [c69]Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. ACL (1) 2019: 4238-4248 - [c68]Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
CTGA: Graph-based Biomedical Literature Search. BIBM 2019: 395-400 - [c67]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation via Row-Aware Hierarchical Encoder. CCL 2019: 533-544 - [c66]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP/IJCNLP (1) 2019: 302-312 - [c65]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 1586-1595 - [c64]Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin:
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. EMNLP/IJCNLP (1) 2019: 3020-3030 - [c63]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). EMNLP/IJCNLP (1) 2019: 3141-3150 - [c62]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. KDD 2019: 1634-1642 - [c61]Dawei Cong, Yanyan Zhao, Bing Qin, Yu Han, Murray Zhang, Alden Liu, Nat Chen:
Hierarchical Attention based Neural Network for Explainable Recommendation. ICMR 2019: 373-381 - [c60]Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) 2019: 827-839 - [e1]Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian:
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers. Communications in Computer and Information Science 1134, Springer 2019, ISBN 978-981-15-1955-0 [contents] - [i26]Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. CoRR abs/1903.03282 (2019) - [i25]Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin:
Towards Time-Aware Distant Supervision for Relation Extraction. CoRR abs/1903.03289 (2019) - [i24]Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. CoRR abs/1906.06045 (2019) - [i23]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu:
Pre-Training with Whole Word Masking for Chinese BERT. CoRR abs/1906.08101 (2019) - [i22]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. CoRR abs/1907.00720 (2019) - [i21]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. CoRR abs/1909.00361 (2019) - [i20]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). CoRR abs/1909.02304 (2019) - [i19]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. CoRR abs/1909.05438 (2019) - [i18]Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia into Augmented Data for Query-Focused Summarization. CoRR abs/1911.03324 (2019) - [i17]Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu:
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. CoRR abs/1911.03514 (2019) - 2018
- [j23]Xiaocheng Feng, Bing Qin, Ting Liu:
A language-independent neural network for event detection. Sci. China Inf. Sci. 61(9): 092106:1-092106:12 (2018) - [c59]Haichao Zhu, Furu Wei, Bing Qin, Ting Liu:
Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. AAAI 2018: 6077-6085 - [c58]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) 2018: 361-372 - [c57]Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. ACL (1) 2018: 1393-1402 - [c56]Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. BCB 2018: 184-193 - [c55]Dawei Cong, Jianhua Yuan, Yanyan Zhao, Bing Qin:
A Joint Model for Sentiment Classification and Opinion Words Extraction. CCL 2018: 337-347 - [c54]Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu:
Adaptive Multi-pass Decoder for Neural Machine Translation. EMNLP 2018: 523-532 - [c53]Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. EMNLP 2018: 2422-2430 - [c52]Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu:
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. IJCAI 2018: 4071-4077 - [c51]Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu:
Topic-to-Essay Generation with Neural Networks. IJCAI 2018: 4078-4084 - [c50]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. NAACL-HLT 2018: 965-975 - [i16]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. CoRR abs/1804.08228 (2018) - [i15]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR abs/1804.08338 (2018) - [i14]Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. CoRR abs/1805.11224 (2018) - [i13]Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin:
Knowledge Based Machine Reading Comprehension. CoRR abs/1809.04267 (2018) - [i12]Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin:
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. CoRR abs/1809.04271 (2018) - [i11]Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. CoRR abs/1810.03541 (2018) - [i10]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
Learning to Refine Source Representations for Neural Machine Translation. CoRR abs/1812.10230 (2018) - 2017
- [j22]Luyang Li, Bing Qin, Ting Liu:
Contradiction Detection with Contradiction-Specific Word Embedding. Algorithms 10(2): 59 (2017) - [j21]Yanyan Zhao, Bing Qin, Ting Liu:
Encoding syntactic representations with a neural network for sentiment collocation extraction. Sci. China Inf. Sci. 60(11): 110101:1-110101:12 (2017) - [j20]Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Document representation and feature combination for deceptive spam review detection. Neurocomputing 254: 33-41 (2017) - [c49]Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding:
Benben: A Chinese Intelligent Conversational Robot. ACL (System Demonstrations) 2017: 13-18 - [c48]Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Constructing Semantic Hierarchies via Fusion Learning Architecture. CCIR 2017: 136-148 - [c47]Jiahao Liu, Chengjie Sun, Bing Qin:
Deep Learning Based Document Theme Analysis for Composition Generation. CCL 2017: 333-342 - [c46]Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai:
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. IJCAI 2017: 3497-3503 - [c45]Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu:
Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI 2017: 4002-4008 - [c44]Jianhua Yuan, Huaipeng Zhao, Yanyan Zhao, Dawei Cong, Bing Qin, Ting Liu:
Babbling - The HIT-SCIR System for Emotional Conversation Generation. NLPCC 2017: 632-641 - [c43]Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu:
Local Contexts Are Effective for Neural Aspect Extraction. SMP 2017: 244-255 - [c42]Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai:
Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM 2017: 335-344 - 2016
- [j19]Han Xue, Bing Qin, Ting Liu, Shen Liu:
Topic hierarchy construction from heterogeneous evidence. Frontiers Comput. Sci. 10(1): 136-146 (2016) - [j18]Yanyan Zhao, Bing Qin, Ting Liu, Duyu Tang:
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. Multim. Tools Appl. 75(15): 8843-8860 (2016) - [j17]Han Xue, Bing Qin, Ting Liu:
Topical key concept extraction from folksonomy through graph-based ranking. Multim. Tools Appl. 75(15): 8875-8893 (2016) - [j16]Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou:
Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 28(2): 496-509 (2016) - [c41]Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu:
A Language-Independent Neural Network for Event Detection. ACL (2) 2016 - [c40]Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu:
English-Chinese Knowledge Base Translation with Neural Network. COLING 2016: 2935-2944 - [c39]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016: 3298-3307 - [c38]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016: 214-224 - [c37]Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu:
Negation Scope Detection with Recurrent Neural Networks Models in Review Texts. ICYCSEE (1) 2016: 494-508 - [c36]Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. IJCAI 2016: 2880-2886 - [c35]Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
HC-Search for Incremental Parsing. IJCAI 2016: 2887-2893 - [c34]Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia V. Loukachevitch, Evgeniy V. Kotelnikov, Núria Bel, Salud María Jiménez-Zafra, Gülsen Eryigit:
SemEval-2016 Task 5: Aspect Based Sentiment Analysis. SemEval@NAACL-HLT 2016: 19-30 - [c33]Yanyan Zhao, Shengqiu Li, Bing Qin, Ting Liu:
Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction. SMP 2016: 42-53 - [i9]Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. CoRR abs/1604.05499 (2016) - [i8]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. CoRR abs/1605.08900 (2016) - [i7]Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Truth Discovery with Memory Network. CoRR abs/1611.01868 (2016) - 2015
- [j15]Yanyan Zhao, Bing Qin, Ting Liu:
Creating a Fine-Grained Corpus for Chinese Sentiment Analysis. IEEE Intell. Syst. 30(1): 36-43 (2015) - [j14]Xiao Ding, Bing Qin, Ting Liu:
BUEES: a bottom-up event extraction system. Frontiers Inf. Technol. Electron. Eng. 16(7): 541-552 (2015) - [j13]Ruiji Fu, Bing Qin, Ting Liu:
Open-categorical text classification based on multi-LDA models. Soft Comput. 19(1): 29-38 (2015) - [j12]Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Semantic Hierarchies: A Continuous Vector Space Approach. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 461-471 (2015) - [j11]Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1750-1761 (2015) - [j10]Duyu Tang, Bing Qin, Ting Liu:
Deep learning for sentiment analysis: successful approaches and future challenges. WIREs Data Mining Knowl. Discov. 5(6): 292-303 (2015) - [c32]Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu:
Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. ACL (1) 2015: 524-533 - [c31]Duyu Tang, Bing Qin, Ting Liu:
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. ACL (1) 2015: 1014-1023 - [c30]Luyang Li, Wenjing Ren, Bing Qin, Ting Liu:
Learning Document Representation for Deceptive Opinion Spam Detection. CCL 2015: 393-404 - [c29]Duyu Tang, Bing Qin, Ting Liu:
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. EMNLP 2015: 1422-1432 - [c28]Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang:
User Modeling with Neural Network for Review Rating Prediction. IJCAI 2015: 1340-1346 - [c27]Yijia Liu, Yue Zhang, Wanxiang Che, Bing Qin:
Transition-Based Syntactic Linearization. HLT-NAACL 2015: 113-122 - [c26]Muyu Zhang, Vanessa Wei Feng, Bing Qin, Graeme Hirst, Ting Liu, Jingwen Huang:
Encoding World Knowledge in the Evaluation of Local Coherence. HLT-NAACL 2015: 1087-1096 - [c25]Yanyan Zhao, Bing Qin, Zhenjiang Dong, Hong Chen, Ting Liu:
What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs. NLPCC 2015: 453-464 - [c24]Luyang Li, Bing Qin, Ting Liu:
Generating Triples Based on Dependency Parsing for Contradiction Detection. SMP 2015: 200-208 - [i6]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Target-Dependent Sentiment Classification with Long Short Term Memory. CoRR abs/1512.01100 (2015) - [i5]Duyu Tang, Bing Qin, Xinwei Geng, Dandan Ning, Jiahao Liu, Ting Liu:
A Planning based Framework for Essay Generation. CoRR abs/1512.05919 (2015) - 2014
- [j9]Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese named entity data from parallel corpora. Frontiers Comput. Sci. 8(4): 629-641 (2014) - [c23]Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Semantic Hierarchies via Word Embeddings. ACL (1) 2014: 1199-1209 - [c22]Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin:
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. ACL (1) 2014: 1555-1565 - [c21]Yanyan Zhao, Bing Qin, Ting Liu:
Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining. CCL 2014: 120-130 - [c20]Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu:
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. COLING 2014: 172-182 - [c19]Muyu Zhang, Bing Qin, Ting Liu, Mao Zheng:
Triple based Background Knowledge Ranking for Document Enrichment. COLING 2014: 917-927 - [c18]Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu:
Sentence Compression for Target-Polarity Word Collocation Extraction. COLING 2014: 1360-1369 - [c17]Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP 2014: 477-487 - [c16]Yanyan Zhao, Bing Qin, Ting Liu:
Aspect-Object Alignment Using Integer Linear Programming. NLPCC 2014: 193-204 - [c15]Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou:
Coooolll: A Deep Learning System for Twitter Sentiment Classification. SemEval@COLING 2014: 208-212 - [i4]Duyu Tang, Bing Qin, Ting Liu, Qiuhui Shi:
Emotion Analysis Platform on Chinese Microblog. CoRR abs/1403.7335 (2014) - 2013
- [c14]Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen:
Improving Web Search Ranking by Incorporating Structured Annotation of Queries. EMNLP 2013: 468-478 - [c13]Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
Microblog Entity Linking by Leveraging Extra Posts. EMNLP 2013: 863-868 - [c12]Ruiji Fu, Bing Qin, Ting Liu:
Exploiting Multiple Sources for Open-Domain Hypernym Discovery. EMNLP 2013: 1224-1234 - [c11]Xiao Ding, Bing Qin, Ting Liu:
Building Chinese Event Type Paradigm Based on Trigger Clustering. IJCNLP 2013: 311-319 - [c10]Han Xue, Bing Qin, Ting Liu, Chao Xiang:
Topical Key Concept Extraction from Folksonomy. IJCNLP 2013: 480-488 - [c9]Yuhang Guo, Bing Qin, Yuqin Li, Ting Liu, Sheng Li:
Improving Candidate Generation for Entity Linking. NLDB 2013: 225-236 - [c8]Duyu Tang, Bing Qin, Ting Liu, Zhenghua Li:
Learning Sentence Representation for Emotion Classification on Microblogs. NLPCC 2013: 212-223 - [i3]Duyu Tang, Bing Qin, Lanjun Zhou, Kam-Fai Wong, Yanyan Zhao, Ting Liu:
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation. CoRR abs/1309.6722 (2013) - 2012
- [j8]Ruifang He, Bing Qin, Ting Liu:
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering. Expert Syst. Appl. 39(3): 2375-2384 (2012) - [c7]Yanyan Zhao, Bing Qin, Ting Liu:
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. EMNLP-CoNLL 2012: 160-170 - [i2]Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
HIT Approaches to Entity Linking at TAC 2012. TAC 2012 - 2011
- [j7]Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification. Int. J. Comput. Process. Orient. Lang. 23(1): 21-37 (2011) - [c6]Wei-Peng Chen, Muyu Zhang, Bing Qin:
Coreference Resolution System using Maximum Entropy Classifier. CoNLL Shared Task 2011: 127-130 - [c5]Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese Named Entity Data from a Parallel Corpus. IJCNLP 2011: 264-272 - 2010
- [j6]Yiheng Chen, Bing Qin, Ting Liu, Yuanchao Liu, Sheng Li:
The Comparison of SOM and K-means for Text Clustering. Comput. Inf. Sci. 3(2): 268-274 (2010) - [j5]Ruifang He, Bing Qin, Ting Liu, Sheng Li:
Cascaded Regression Analysis Based Temporal Multi-document Summarization. Informatica (Slovenia) 34(1): 119-124 (2010) - [c4]Yanyan Zhao, Bing Qin, Shen Hu, Ting Liu:
Generalizing Syntactic Structures for Product Attribute Candidate Extraction. HLT-NAACL 2010: 377-380
2000 – 2009
- 2009
- [j4]Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Unsupervised Coreference Resolution with HyperGraph Partitioning. Comput. Inf. Sci. 2(4): 55-63 (2009) - [c3]Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin, Ting Liu:
Multilingual Dependency-based Syntactic and Semantic Parsing. CoNLL Shared Task 2009: 49-54 - 2008
- [j3]Ruifang He, Bing Qin, Ting Liu, Yuequn Pan, Sheng Li:
A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression. J. Chin. Lang. Comput. 18(4): 139-160 (2008) - [j2]Ruifang He, Bing Qin, Ting Liu, Yang Liu, Sheng Li:
Iterative Feedback Based Manifold-Ranking for Update Summary. Polibits 37: 5-13 (2008) - [c2]Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li:
A Cascaded Syntactic and Semantic Dependency Parsing System. CoNLL 2008: 238-242 - [c1]Bing Qin, Yanyan Zhao, Leilei Gao, Ting Liu:
Recommended or Not? Give Advice on Online Products. FSKD (4) 2008: 208-212 - [i1]Ruifang He, Yang Liu, Bing Qin, Ting Liu, Sheng Li:
HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence. TAC 2008 - 2007
- [j1]Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Intra-document Coreference Resolution: The state of the art. J. Chin. Lang. Comput. 17(4): 227-253 (2007)
Coauthor Index
[j59] [j58] [j57] [j54] [j51] [c182] [c175] [c171] [c169] [c154] [i138] [i133] [i132] [i131] [i115] [i114] [i112] [i111] [i109] [c152] [c150] [c148] [c136] [c134] [i94] [i93] [i92] [j46] [c119] [c117] [c114] [c112] [c106] [c104] [i62] [i61] [i56] [i55] [i45] [j40] [j39] [c97] [c95] [c88] [i38] [c71] [c49] [j14] [c14] [c11]
Xiaocheng Feng
aka: Xiao-Cheng Feng
aka: Xiao-Cheng Feng
[j56] [j52] [c188] [c178] [c176] [c172] [c167] [c166] [c164] [c161] [c160] [c159] [c158] [i145] [i130] [i126] [i121] [i117] [i113] [i107] [i106] [c153] [c149] [c147] [c144] [c137] [c132] [c129] [i103] [i102] [i101] [i97] [i89] [i88] [i86] [i83] [i76] [i72] [i71] [i67] [i66] [j45] [c116] [c115] [c109] [c105] [c101] [i65] [i63] [i51] [i46] [j36] [c98] [c92] [c89] [c87] [i41] [i40] [i39] [j32] [j29] [c83] [c82] [c79] [c75] [c74] [i35] [i34] [i29] [i27] [c67] [c64] [c63] [c60] [i20] [i19] [j23] [c58] [c54] [c52] [c51] [i15] [i13] [i12] [c45] [c41] [c40] [c39] [i6]
Yichong Huang
aka: Yi-Chong Huang
aka: Yi-Chong Huang
[j60] [c187] [c186] [c185] [c183] [c174] [c170] [c165] [c163] [c162] [c157] [c155] [i143] [i127] [i123] [i119] [i118] [i116] [i110] [i108] [j50] [j49] [c130] [c127] [i90] [i85] [i77] [i73] [i70] [i68] [j47] [c103] [e3] [i58] [i49] [i48] [c93] [c91] [c86] [i42] [i37] [i36] [c80] [c78] [c73] [c72] [i33] [j25] [j24] [e1] [i26] [i25] [i17] [c56] [c51] [c48]
[j59] [j58] [j57] [j54] [j51] [c190] [c187] [c182] [c181] [c175] [c171] [c169] [c166] [c161] [c154] [i145] [i141] [i140] [i138] [i137] [i133] [i132] [i131] [i130] [i120] [i115] [i114] [i112] [i111] [i109] [i105] [i104] [c152] [c150] [c148] [c142] [c136] [c134] [c132] [c129] [i99] [i94] [i93] [i92] [i84] [i81] [i80] [i77] [i72] [i71] [i66] [j47] [j46] [j43] [j42] [j41] [c119] [c117] [c114] [c113] [c112] [c106] [c104] [i62] [i61] [i56] [i55] [i53] [j40] [j39] [j36] [j35] [j34] [c98] [c97] [c95] [c88] [c86] [i43] [i42] [i40] [i38] [j33] [j32] [j31] [j30] [j29] [c83] [c81] [c80] [c79] [c78] [c76] [c75] [c74] [c71] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [j28] [j27] [j25] [j24] [c69] [c68] [c67] [c66] [c65] [c63] [c62] [c60] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [j23] [c59] [c58] [c57] [c56] [c54] [c53] [c52] [c51] [i15] [i14] [i11] [i10] [j22] [j21] [j20] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [j19] [j18] [j17] [j16] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c33] [i9] [i8] [i7] [j15] [j14] [j13] [j12] [j11] [j10] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [i6] [i5] [j9] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i4] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [i3] [j8] [c7] [i2] [j7] [c5] [j6] [j5] [c4] [j4] [c3] [j3] [j2] [c2] [c1] [i1] [j1]
[j55] [c180] [c179] [c173] [c162] [c156] [i144] [i139] [i136] [i135] [i129] [i125] [i122] [i105] [c151] [c146] [c141] [c140] [c135] [c128] [c122] [c121] [i98] [i96] [i95] [i91] [i74] [j44] [c118] [c111] [c110] [c107] [c100] [i64] [i59] [i54] [i52] [i50] [i47] [i44] [j37] [c96] [c94] [c90] [c85] [c84] [i43] [j33] [c77] [j27] [j25] [c70] [c61] [c55] [j21] [c49] [c44] [c43] [j18] [c37] [c34] [c33] [j15] [c25] [c21] [c18] [c16] [i3] [c7] [j7] [c4] [c1]
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