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2020 – today
- 2024
[j7]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)- [j6]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) - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. ICASSP 2024: 11661-11665 - [c36]Baohang Li, Zekai Ye, Yichong Huang, Xiaocheng Feng, Bing Qin:
SCIR-MT's Submission for WMT24 General Machine Translation Task. WMT 2024: 280-285 - [i41]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) - [i40]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) - [i39]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu:
Relay Decoding: Concatenating Large Language Models for Machine Translation. CoRR abs/2405.02933 (2024) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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. CoRR abs/2410.13298 (2024) - [i31]Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin:
Discrete Modeling via Boundary Conditional Diffusion Processes. CoRR abs/2410.22380 (2024) - 2023
- [c35]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 - [c34]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. ACL (1) 2023: 3802-3818 - [c33]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 - [c32]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 - [c31]Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. EMNLP (Findings) 2023: 6790-6804 - [c30]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 - [c29]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 - [i30]Xiachong Feng, Xiaocheng Feng, Bing Qin:
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. CoRR abs/2301.09237 (2023) - [i29]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) - [i28]Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. CoRR abs/2304.03512 (2023) - [i27]Xiachong Feng, Xiaocheng Feng, Bing Qin:
The Role of Summarization in Generative Agents: A Preliminary Perspective. CoRR abs/2305.01253 (2023) - [i26]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. CoRR abs/2305.15718 (2023) - [i25]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) - [i24]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) - [i23]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) - [i22]Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. CoRR abs/2310.05149 (2023) - [i21]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) - [i20]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) - [i19]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) - [i18]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
- [j5]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) - [c28]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 - [c27]Xiachong Feng, Xiaocheng Feng, Bing Qin:
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. DialDoc@ACL 2022: 1-12 - [c26]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 - [c25]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
Unifying the Convergences in Multilingual Neural Machine Translation. EMNLP 2022: 6822-6835 - [c24]Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. IJCAI 2022: 5453-5460 - [i17]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) - [i16]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. CoRR abs/2205.01620 (2022) - [i15]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) - [i14]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) - 2021
- [j4]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) - [c23]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 - [c22]Xiachong Feng, Xiaocheng Feng, Bing Qin:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CCL 2021: 127-142 - [c21]Xinwei Geng, Xiaocheng Feng, Bing Qin:
Learning to Rewrite for Non-Autoregressive Neural Machine Translation. EMNLP (1) 2021: 3297-3308 - [c20]Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng:
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. IJCAI 2021: 3808-3814 - [i13]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) - [i12]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) - [i11]Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. CoRR abs/2107.03175 (2021) - 2020
- [j3]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) - [j2]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) - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [i10]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) - [i9]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) - [i8]Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CoRR abs/2010.10044 (2020) - [i7]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
- [c14]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation via Row-Aware Hierarchical Encoder. CCL 2019: 533-544 - [c13]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 - [c12]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 - [c11]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 - [i6]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) - [i5]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) - 2018
- [j1]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) - [c10]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 - [c9]Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu:
Adaptive Multi-pass Decoder for Neural Machine Translation. EMNLP 2018: 523-532 - [c8]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 - [c7]Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu:
Topic-to-Essay Generation with Neural Networks. IJCAI 2018: 4078-4084 - [i4]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) - [i3]Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin:
Knowledge Based Machine Reading Comprehension. CoRR abs/1809.04267 (2018) - [i2]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) - 2017
- [c6]Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu:
Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI 2017: 4002-4008 - 2016
- [c5]Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu:
A Language-Independent Neural Network for Event Detection. ACL (2) 2016 - [c4]Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil:
Liberal Event Extraction and Event Schema Induction. ACL (1) 2016 - [c3]Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, Weiran Xu:
Bitext Name Tagging for Cross-lingual Entity Annotation Projection. COLING 2016: 461-470 - [c2]Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu:
English-Chinese Knowledge Base Translation with Neural Network. COLING 2016: 2935-2944 - [c1]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016: 3298-3307 - 2015
- [i1]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Target-Dependent Sentiment Classification with Long Short Term Memory. CoRR abs/1512.01100 (2015)
Coauthor Index
Yichong Huang
aka: Yi-Chong Huang
aka: Yi-Chong Huang
[j7] [j6] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [i41] [i40] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j5] [c28] [c27] [c26] [c25] [c24] [i17] [i16] [i15] [i14] [j4] [c23] [c22] [c21] [c20] [i13] [i12] [i11] [j3] [j2] [c19] [c18] [c17] [c16] [c15] [i10] [i9] [i8] [i7] [c14] [c13] [c12] [c11] [i6] [i5] [j1] [c10] [c9] [c8] [c7] [i4] [i3] [i2] [c6] [c5] [c2] [c1] [i1]
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