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ORCIDMin-Yen Kan
靳民彦
Person information
- unicode name: 靳民彦
- affiliation: National University of Singapore (NUS), Singapore
- affiliation (PhD 2002): Columbia University, New York City, NY, USA
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2020 – today
- 2024
[j29]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)- [c193]Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin:
Beyond Memorization: The Challenge of Random Memory Access in Language Models. ACL (1) 2024: 3373-3388 - [c192]Yisong Miao, Hongfu Liu, Wenqiang Lei, Nancy F. Chen, Min-Yen Kan:
Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations. ACL (1) 2024: 6277-6295 - [c191]Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank:
NNOSE: Nearest Neighbor Occupational Skill Extraction. EACL (1) 2024: 589-608 - [c190]Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan:
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. ECIR (1) 2024: 123-139 - [c189]Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh:
Reasoning Robustness of LLMs to Adversarial Typographical Errors. EMNLP 2024: 10449-10459 - [c188]Yajing Yang, Qian Liu, Min-Yen Kan:
DataTales: A Benchmark for Real-World Intelligent Data Narration. EMNLP 2024: 10764-10788 - [c187]Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan:
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization. EMNLP (Findings) 2024: 13258-13273 - [c186]Guanzhen Li, Yuxi Xie, Min-Yen Kan:
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP (Findings) 2024: 13505-13527 - [c185]Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. EMNLP 2024: 14805-14829 - [c184]Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen:
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models. EMNLP 2024: 20370-20401 - [c183]Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho:
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. ICLR 2024 - [c182]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models. NAACL-HLT (Findings) 2024: 2522-2534 - [c181]Chuang Li, Yan Zhang, Min-Yen Kan, Haizhou Li:
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking. NAACL-HLT (Findings) 2024: 2972-2983 - [c180]Hengchang Hu
, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan:
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM 2024: 266-275 - [c179]Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu:
Discrete Semantic Tokenization for Deep CTR Prediction. WWW (Companion Volume) 2024: 919-922 - [e10]Nicoletta Calzolari, Min-Yen Kan, Véronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy. ELRA and ICCL 2024, ISBN 978-2-493814-10-4 [contents] - [i91]Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan:
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. CoRR abs/2401.07257 (2024) - [i90]Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank:
NNOSE: Nearest Neighbor Occupational Skill Extraction. CoRR abs/2401.17092 (2024) - [i89]Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin:
Beyond Memorization: The Challenge of Random Memory Access in Language Models. CoRR abs/2403.07805 (2024) - [i88]Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu:
Discrete Semantic Tokenization for Deep CTR Prediction. CoRR abs/2403.08206 (2024) - [i87]Zekai Li, Yanxia Qin, Qian Liu, Min-Yen Kan:
ISQA: Informative Factuality Feedback for Scientific Summarization. CoRR abs/2404.13246 (2024) - [i86]Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh:
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR abs/2405.00451 (2024) - [i85]Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li:
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems. CoRR abs/2405.01868 (2024) - [i84]Minzhi Li, Zhengyuan Liu, Shumin Deng, Shafiq Joty, Nancy F. Chen, Min-Yen Kan:
Decompose and Aggregate: A Step-by-Step Interpretable Evaluation Framework. CoRR abs/2405.15329 (2024) - [i83]Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho:
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. CoRR abs/2406.10130 (2024) - [i82]Naaman Tan, Josef Valvoda, Anej Svete, Tianyu Liu, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. CoRR abs/2406.10203 (2024) - [i81]Xuan Long Do, Hai Nguyen Ngoc, Tiviatis Sim, Hieu Dao, Shafiq Joty, Kenji Kawaguchi, Nancy F. Chen, Min-Yen Kan:
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs. CoRR abs/2408.08656 (2024) - [i80]Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan:
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. CoRR abs/2409.11724 (2024) - [i79]Guanzhen Li, Yuxi Xie, Min-Yen Kan:
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? CoRR abs/2410.04345 (2024) - [i78]Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang:
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. CoRR abs/2410.09675 (2024) - [i77]Yixi Ding, Jiaying Wu, Tongyao Zhu, Yanxia Qin, Qian Liu, Min-Yen Kan:
CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization. CoRR abs/2410.12601 (2024) - [i76]Yajing Yang, Qian Liu, Min-Yen Kan:
DataTales: A Benchmark for Real-World Intelligent Data Narration. CoRR abs/2410.17859 (2024) - [i75]Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen:
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models. CoRR abs/2411.00492 (2024) - 2023
- [j28]Abhinav Ramesh Kashyap, Yajing Yang, Min-Yen Kan:
Scientific document processing: challenges for modern learning methods. Int. J. Digit. Libr. 24(4): 283-309 (2023) - [c178]Longshen Ou, Xichu Ma, Min-Yen Kan, Ye Wang:
Songs Across Borders: Singable and Controllable Neural Lyric Translation. ACL (1) 2023: 447-467 - [c177]Ibrahim Taha Aksu, Min-Yen Kan, Nancy F. Chen:
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation. ACL (1) 2023: 4588-4603 - [c176]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) 2023: 6981-7004 - [c175]Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CIKM 2023: 843-853 - [c174]Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria:
UDAPTER - Efficient Domain Adaptation Using Adapters. EACL 2023: 2241-2255 - [c173]Keng Ji Chow, Samson Tan, Min-Yen Kan:
TraVLR: Now You See It, Now You Don't! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning. EACL 2023: 3314-3339 - [c172]Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) 2023: 264-273 - [c171]Yixi Ding, Yanxia Qin, Qian Liu, Min-Yen Kan:
CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability. EMNLP (Demos) 2023: 518-526 - [c170]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) 2023: 1389-1403 - [c169]Minzhi Li, Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy F. Chen, Zhengyuan Liu, Diyi Yang:
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation. EMNLP 2023: 1487-1505 - [c168]Yuxi Xie, Guanzhen Li, Min-Yen Kan:
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning. EMNLP (Findings) 2023: 4064-4085 - [c167]Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. EMNLP 2023: 7787-7813 - [c166]Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan:
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. EMNLP 2023: 10348-10361 - [c165]Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang:
Doolittle: Benchmarks and Corpora for Academic Writing Formalization. EMNLP 2023: 13093-13111 - [c164]Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan:
FollowupQG: Towards information-seeking follow-up question generation. IJCNLP (1) 2023: 252-271 - [c163]Liangming Pan, Yunxiang Zhang, Min-Yen Kan:
Investigating Zero- and Few-shot Generalization in Fact Verification. IJCNLP (1) 2023: 511-524 - [c162]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) 2023: 525-539 - [c161]Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li:
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommendation Systems. KaRS@RecSys 2023: 7-20 - [c160]Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie:
Self-Evaluation Guided Beam Search for Reasoning. NeurIPS 2023 - [c159]Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan:
Automatic Feature Fairness in Recommendation via Adversaries. SIGIR-AP 2023: 245-252 - [i74]Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou:
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. CoRR abs/2301.01067 (2023) - [i73]Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria:
UDApter - Efficient Domain Adaptation Using Adapters. CoRR abs/2302.03194 (2023) - [i72]Xinyuan Lu, Min-Yen Kan:
Improving Recommendation Systems with User Personality Inferred from Product Reviews. CoRR abs/2303.05039 (2023) - [i71]Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie:
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. CoRR abs/2305.00633 (2023) - [i70]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR abs/2305.12744 (2023) - [i69]Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR abs/2305.13186 (2023) - [i68]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. CoRR abs/2305.13661 (2023) - [i67]Yuxi Xie, Guanzhen Li, Min-Yen Kan:
ECHo: Event Causality Inference via Human-centric Reasoning. CoRR abs/2305.14740 (2023) - [i66]Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan:
The ACL OCL Corpus: advancing Open science in Computational Linguistics. CoRR abs/2305.14996 (2023) - [i65]Longshen Ou, Xichu Ma, Min-Yen Kan, Ye Wang:
Songs Across Borders: Singable and Controllable Neural Lyric Translation. CoRR abs/2305.16816 (2023) - [i64]Taha Aksu, Min-Yen Kan, Nancy F. Chen:
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation. CoRR abs/2306.04724 (2023) - [i63]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering. CoRR abs/2307.04192 (2023) - [i62]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) - [i61]Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CoRR abs/2308.15980 (2023) - [i60]Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan:
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation. CoRR abs/2309.05007 (2023) - [i59]Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li:
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems. CoRR abs/2309.07682 (2023) - [i58]Liangming Pan, Yunxiang Zhang, Min-Yen Kan:
Investigating Zero- and Few-shot Generalization in Fact Verification. CoRR abs/2309.09444 (2023) - [i57]Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan:
Automatic Feature Fairness in Recommendation via Adversaries. CoRR abs/2309.15418 (2023) - [i56]Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR abs/2310.07609 (2023) - [i55]Chuang Li, Yan Zhang, Min-Yen Kan, Haizhou Li:
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking. CoRR abs/2310.10492 (2023) - [i54]Minzhi Li, Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy F. Chen, Zhengyuan Liu, Diyi Yang:
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation. CoRR abs/2310.15638 (2023) - [i53]Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen:
ChOiRe: Characterizing and Predicting Human Opinions with Chain of Opinion Reasoning. CoRR abs/2311.08385 (2023) - 2022
- [j27]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: leveraging social context for fake news detection using graph representation. Commun. ACM 65(4): 124-132 (2022) - [j26]Ramtin Yazdanian, Richard Lee Davis, Xiangcen Guo, Fiona Lim, Pierre Dillenbourg, Min-Yen Kan:
On the radar: Predicting near-future surges in skills' hiring demand to provide early warning to educators. Comput. Educ. Artif. Intell. 3: 100043 (2022) - [c158]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria:
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. ACL (1) 2022: 416-431 - [c157]Ibrahim Taha Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy F. Chen:
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking. ACL (Findings) 2022: 1659-1671 - [c156]Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan:
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. ACL (1) 2022: 2677-2686 - [c155]Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan:
Interpreting the Robustness of Neural NLP Models to Textual Perturbations. ACL (Findings) 2022: 3993-4007 - [c154]Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing Yang, Min-Yen Kan:
Lightweight Contextual Logical Structure Recovery. SDP@COLING 2022: 37-48 - [c153]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. COLING 2022: 471-484 - [c152]Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou:
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. EMNLP 2022: 5240-5253 - [c151]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. EMNLP 2022: 10498-10511 - [c150]Yiding Ran, Hengchang Hu, Min-Yen Kan:
PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation. MORS@RecSys 2022 - [i52]Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan:
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. CoRR abs/2204.08325 (2022) - [i51]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria:
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. CoRR abs/2205.04093 (2022) - [i50]Saurabh Jain, Yisong Miao, Min-Yen Kan:
Comparative Snippet Generation. CoRR abs/2206.05473 (2022) - [i49]Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan:
Modeling and Leveraging Prerequisite Context in Recommendation. CoRR abs/2209.11471 (2022) - [i48]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. CoRR abs/2210.02223 (2022) - [i47]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. CoRR abs/2210.12798 (2022) - 2021
- [j25]Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua:
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Trans. Multim. 23: 4491-4501 (2021) - [c149]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) 2021: 476-483 - [c148]Samson Tan, Shafiq R. Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan:
Reliability Testing for Natural Language Processing Systems. ACL/IJCNLP (1) 2021: 4153-4169 - [c147]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 - [c146]Xichu Ma, Ye Wang, Min-Yen Kan, Wee Sun Lee:
AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics. ACM Multimedia 2021: 1002-1011 - [c145]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann:
Domain Divergences: A Survey and Empirical Analysis. NAACL-HLT 2021: 1830-1849 - [c144]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT 2021: 5866-5880 - [c143]Taha Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy F. Chen:
Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation. SIGDIAL 2021: 133-143 - [i46]Taha Aksu, Nancy F. Chen, Min-Yen Kan, Zhengyuan Liu:
A Simple But Effective Approach to n-shot Task-Oriented Dialogue Augmentation. CoRR abs/2103.00293 (2021) - [i45]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) - [i44]Samson Tan, Shafiq R. Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan:
Reliability Testing for Natural Language Processing Systems. CoRR abs/2105.02590 (2021) - [i43]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. CoRR abs/2105.14682 (2021) - [i42]Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan:
Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features. CoRR abs/2110.07159 (2021) - [i41]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
ContraQA: Question Answering under Contradicting Contexts. CoRR abs/2110.07803 (2021) - [i40]Keng Ji Chow, Samson Tan, Min-Yen Kan:
TraVLR: Now You See It, Now You Don't! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning. CoRR abs/2111.10756 (2021) - 2020
- [j24]Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder:
Neural side effect discovery from user credibility and experience-assessed online health discussions. J. Biomed. Semant. 11(1): 5 (2020) - [c142]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL 2020: 1061-1071 - [c141]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475 - [c140]Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher:
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. ACL 2020: 2920-2935 - [c139]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CIKM 2020: 1165-1174 - [c138]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. COLING 2020: 2534-2546 - [c137]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 - [c136]Akshay Bhola, Kishaloy Halder, Animesh Prasad, Min-Yen Kan:
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework. COLING 2020: 5832-5842 - [c135]Shi Tian, Abhinav Ramesh Kashyap, Min-Yen Kan:
ServiceMarq: Extracting Service Contributions from Call for Papers. DocEng 2020: 20:1-20:4 - [c134]Abhinav Ramesh Kashyap, Min-Yen Kan:
SciWING- A Software Toolkit for Scientific Document Processing. SDP@EMNLP 2020: 113-120 - [c133]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. EMNLP (1) 2020: 5647-5663 - [c132]Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua:
Re-examining the Role of Schema Linking in Text-to-SQL. EMNLP (1) 2020: 6943-6954 - [c131]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. ACM Multimedia 2020: 1132-1141 - [c130]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM 2020: 304-312 - [i39]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. CoRR abs/2002.09102 (2020) - [i38]Abhinav Ramesh Kashyap, Min-Yen Kan:
SciWING - A Software Toolkit for Scientific Document Processing. CoRR abs/2004.03807 (2020) - [i37]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) - [i36]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. CoRR abs/2004.12704 (2020) - [i35]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. CoRR abs/2004.14870 (2020) - [i34]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR abs/2005.00701 (2020) - [i33]Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher:
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. CoRR abs/2005.04364 (2020) - [i32]Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan, Yan Fu:
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums. CoRR abs/2005.07382 (2020) - [i31]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CoRR abs/2008.07939 (2020) - [i30]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. CoRR abs/2008.09151 (2020) - [i29]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann:
Domain Divergences: a Survey and Empirical Analysis. CoRR abs/2010.12198 (2020) - [i28]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. CoRR abs/2010.12623 (2020) - [i27]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. CoRR abs/2011.01102 (2020)
2010 – 2019
- 2019
- [j23]Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu:
Resource Mention Extraction for MOOC Discussion Forums. IEEE Access 7: 87887-87900 (2019) - [c129]Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan:
Sentiment Aware Neural Machine Translation. WAT@EMNLP-IJCNLP 2019: 200-206 - [c128]Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-task Learning for Citation Function and Provenance. JCDL 2019: 394-395 - [c127]Animesh Prasad, Saumya Ahuja, Shenhao Jiang, Bimlesh Wadhwa, Min-Yen Kan:
ChairVisE: An Analytic Lens for Conference Submission Data. JCDL 2019: 428-429 - [c126]Animesh Prasad, Min-Yen Kan:
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction. NAACL-HLT (1) 2019: 1837-1846 - [c125]Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama:
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. NAACL-HLT (1) 2019: 3148-3157 - [c124]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. BIRNDL@SIGIR 2019: 153-166 - [c123]Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). SIGIR 2019: 1441-1443 - [e9]Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11838, Springer 2019, ISBN 978-3-030-32232-8 [contents] - [e8]Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11839, Springer 2019, ISBN 978-3-030-32235-9 [contents] - [i26]Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan:
Recent Advances in Neural Question Generation. CoRR abs/1905.08949 (2019) - [i25]Muthu Kumar Chandrasekaran, Min-Yen Kan:
When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums. CoRR abs/1905.10851 (2019) - [i24]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. CoRR abs/1907.09854 (2019) - [i23]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. CoRR abs/1909.00764 (2019) - [i22]Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang:
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? CoRR abs/1910.12391 (2019) - [i21]Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. CoRR abs/1911.08117 (2019) - 2018
- [j22]Philipp Mayr, Ingo Frommholz, Guillaume Cabanac, Muthu Kumar Chandrasekaran, Kokil Jaidka, Min-Yen Kan, Dietmar Wolfram:
Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL). Int. J. Digit. Libr. 19(2-3): 107-111 (2018) - [j21]Kokil Jaidka, Muthu Kumar Chandrasekaran, Sajal Rustagi, Min-Yen Kan:
Insights from CL-SciSumm 2016: the faceted scientific document summarization Shared Task. Int. J. Digit. Libr. 19(2-3): 163-171 (2018) - [j20]Animesh Prasad, Manpreet Kaur, Min-Yen Kan:
Neural ParsCit: a deep learning-based reference string parser. Int. J. Digit. Libr. 19(4): 323-337 (2018) - [c122]Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan:
Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution. AAAI 2018: 4848-4855 - [c121]Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin:
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL (1) 2018: 1437-1447 - [c120]Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder:
Treatment Side Effect Prediction from Online User-generated Content. Louhi@EMNLP 2018: 12-21 - [c119]Muthu Kumar Chandrasekaran, Min-Yen Kan:
Countering Position Bias in Instructor Interventions in MOOC Discussion Forums. NLP-TEA@ACL 2018: 135-142 - [c118]Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Identifying Emergent Research Trends by Key Authors and Phrases. COLING 2018: 259-269 - [c117]Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan, Yan Fu:
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums. TPDL 2018: 208-219 - [c116]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. BIRNDL@SIGIR 2018: 74-83 - [c115]Kishaloy Halder, Lahari Poddar, Min-Yen Kan:
Cold Start Thread Recommendation as Extreme Multi-label Classification. WWW (Companion Volume) 2018: 1911-1918 - [e7]Jiangping Chen, Marcos André Gonçalves, Jeff M. Allen, Edward A. Fox, Min-Yen Kan, Vivien Petras:
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, JCDL 2018, Fort Worth, TX, USA, June 03-07, 2018. ACM 2018 [contents] - [i20]Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-Task Learning for Citation Function and Provenance. CoRR abs/1811.07351 (2018) - [i19]Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu:
Resource Mention Extraction for MOOC Discussion Forums. CoRR abs/1811.08853 (2018) - 2017
- [j19]Juyoung An, Namhee Kim, Min-Yen Kan, Muthu Kumar Chandrasekaran, Min Song:
Exploring characteristics of highly cited authors according to citation location and content. J. Assoc. Inf. Sci. Technol. 68(8): 1975-1988 (2017) - [j18]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 29(1): 57-71 (2017) - [c114]Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman:
Using Discourse Signals for Robust Instructor Intervention Prediction. AAAI 2017: 3415-3421 - [c113]Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama:
Health Forum Thread Recommendation Using an Interest Aware Topic Model. CIKM 2017: 1589-1598 - [c112]Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, Min-Yen Kan:
SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition. IJCAI 2017: 4026-4032 - [c111]Animesh Prasad, Min-Yen Kan:
WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling. SemEval@ACL 2017: 973-977 - [c110]Kokil Jaidka, Muthu Kumar Chandrasekaran, Devanshu Jain, Min-Yen Kan:
The CL-SciSumm Shared Task 2017: Results and Key Insights. BIRNDL@SIGIR (2) 2017: 1-15 - [c109]Kishaloy Halder, Lahari Poddar, Min-Yen Kan:
Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach. WASSA@EMNLP 2017: 127-135 - [e6]Regina Barzilay, Min-Yen Kan:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-75-3 [contents] - [e5]Regina Barzilay, Min-Yen Kan:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-76-0 [contents] - [e4]Kokil Jaidka, Muthu Kumar Chandrasekaran, Min-Yen Kan:
Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 11, 2017. CEUR Workshop Proceedings 2002, CEUR-WS.org 2017 [contents] - [i18]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. CoRR abs/1708.04396 (2017) - [i17]Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua:
Fast Matrix Factorization for Online Recommendation with Implicit Feedback. CoRR abs/1708.05024 (2017) - 2016
- [j17]Guillaume Cabanac, Muthu Kumar Chandrasekaran, Ingo Frommholz, Kokil Jaidka, Min-Yen Kan, Philipp Mayr, Dietmar Wolfram:
Report on the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016). SIGIR Forum 50(2): 36-43 (2016) - [c108]Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan:
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation. NLP-TEA@COLING 2016: 30-39 - [c107]Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua:
Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators. AIRS 2016: 197-211 - [c106]Kokil Jaidka, Muthu Kumar Chandrasekaran, Sajal Rustagi, Min-Yen Kan:
Overview of the CL-SciSumm 2016 Shared Task. BIRNDL@JCDL 2016: 93-102 - [c105]Guillaume Cabanac, Muthu Kumar Chandrasekaran, Ingo Frommholz, Kokil Jaidka, Min-Yen Kan, Philipp Mayr, Dietmar Wolfram:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016). JCDL 2016: 299-300 - [c104]Tao Chen, Xiangnan He, Min-Yen Kan:
Context-aware Image Tweet Modelling and Recommendation. ACM Multimedia 2016: 1018-1027 - [c103]Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua:
Fast Matrix Factorization for Online Recommendation with Implicit Feedback. SIGIR 2016: 549-558 - [c102]Jerome Cheng, Kazunari Sugiyama, Min-Yen Kan:
Linking Organizational Social Network Profiles. SIGIR 2016: 901-904 - [e3]Guillaume Cabanac, Muthu Kumar Chandrasekaran, Ingo Frommholz, Kokil Jaidka, Min-Yen Kan, Philipp Mayr, Dietmar Wolfram:
Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) co-located with the Joint Conference on Digital Libraries 2016 (JCDL 2016), Newark, NJ, USA, June 23, 2016. CEUR Workshop Proceedings 1610, CEUR-WS.org 2016 [contents] - [i16]Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan:
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation. CoRR abs/1611.02956 (2016) - [i15]Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman:
Using Discourse Signals for Robust Instructor Intervention Prediction. CoRR abs/1612.00944 (2016) - 2015
- [j16]Kazunari Sugiyama, Min-Yen Kan:
A comprehensive evaluation of scholarly paper recommendation using potential citation papers. Int. J. Digit. Libr. 16(2): 91-109 (2015) - [j15]Kazunari Sugiyama, Min-Yen Kan:
"Towards higher relevance and serendipity in scholarly paper recommendation" by Kazunari Sugiyama and Min-Yen Kan with Martin Vesely as coordinator. SIGWEB Newsl. 2015(Winter): 4:1-4:16 (2015) - [c101]Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan, Dongyuan Lu:
VELDA: Relating an Image Tweet's Text and Images. AAAI 2015: 30-36 - [c100]Tao Chen, Naijia Zheng, Yue Zhao, Muthu Kumar Chandrasekaran, Min-Yen Kan:
Interactive Second Language Learning from News Websites. NLP-TEA@ACL/IJCNLP 2015: 34-42 - [c99]Bang Hui Lim, Dongyuan Lu, Tao Chen, Min-Yen Kan:
#mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks. ASONAM 2015: 113-120 - [c98]Min-Yen Kan:
Serving the readers of scholarly documents: A grand challenge for the introspective digital library. BigComp 2015: 249-250 - [c97]Xiangnan He, Tao Chen, Min-Yen Kan, Xiao Chen:
TriRank: Review-aware Explainable Recommendation by Modeling Aspects. CIKM 2015: 1661-1670 - [c96]Muthu Kumar Chandrasekaran, Min-Yen Kan, Bernard C. Y. Tan, Kiruthika Ragupathi:
Learning Instructor Intervention from MOOC Forums: Early Results and Issues. EDM 2015: 218-225 - [c95]Muthu Kumar Chandrasekaran, Kiruthika Ragupathi, Min-Yen Kan, Bernard C. Y. Tan:
Towards Feasible Instructor Intervention in MOOC discussion forums. ICIS 2015 - [c94]Nguyen Viet Cuong, Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee:
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs. JCDL 2015: 61-64 - [i14]Jun-Ping Ng, Min-Yen Kan:
QANUS: An Open-source Question-Answering Platform. CoRR abs/1501.00311 (2015) - [i13]Muthu Kumar Chandrasekaran, Min-Yen Kan, Bernard C. Y. Tan, Kiruthika Ragupathi:
Learning Instructor Intervention from MOOC Forums: Early Results and Issues. CoRR abs/1504.07206 (2015) - [i12]Bang Hui Lim, Dongyuan Lu, Tao Chen, Min-Yen Kan:
#mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks. CoRR abs/1507.03510 (2015) - 2014
- [j14]Ziheng Lin, Hwee Tou Ng, Min-Yen Kan:
A PDTB-styled end-to-end discourse parser. Nat. Lang. Eng. 20(2): 151-184 (2014) - [c93]Jun-Ping Ng, Yan Chen, Min-Yen Kan, Zhoujun Li:
Exploiting Timelines to Enhance Multi-document Summarization. ACL (1) 2014: 923-933 - [c92]Haochen Zhang, Min-Yen Kan, Yiqun Liu, Shaoping Ma:
Online Social Network Profile Linkage. AIRS 2014: 197-208 - [c91]Min-Yen Kan:
Opportunities for multimedia analysis in scholarly digital libraries. SLAM@INTERSPEECH 2014: 2 - [c90]Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama:
Predicting the popularity of web 2.0 items based on user comments. SIGIR 2014: 233-242 - [c89]Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua:
New and improved: modeling versions to improve app recommendation. SIGIR 2014: 647-656 - [c88]Haochen Zhang, Min-Yen Kan, Yiqun Liu, Shaoping Ma:
Online Social Network Profile Linkage Based on Cost-Sensitive Feature Acquisition. SMP 2014: 117-128 - [c87]Xiangnan He, Min-Yen Kan, Peichu Xie, Xiao Chen:
Comment-based multi-view clustering of web 2.0 items. WWW 2014: 771-782 - 2013
- [j13]Aobo Wang, Vu Cong Duy Hoang, Min-Yen Kan:
Perspectives on crowdsourcing annotations for natural language processing. Lang. Resour. Evaluation 47(1): 9-31 (2013) - [j12]Tao Chen, Min-Yen Kan:
Creating a live, public short message service corpus: the NUS SMS corpus. Lang. Resour. Evaluation 47(2): 299-335 (2013) - [j11]Su Nam Kim, Olena Medelyan, Min-Yen Kan, Timothy Baldwin:
Automatic keyphrase extraction from scientific articles. Lang. Resour. Evaluation 47(3): 723-742 (2013) - [j10]Philip S. Cho, Huy Hoang Nhat Do, Muthu Kumar Chandrasekaran, Min-Yen Kan:
Identifying research facilitators in an emerging Asian Research Area. Scientometrics 97(1): 75-97 (2013) - [c86]Aobo Wang, Min-Yen Kan:
Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation. ACL (1) 2013: 731-741 - [c85]Jun-Ping Ng, Min-Yen Kan, Ziheng Lin, Vanessa Wei Feng, Bin Chen, Jian Su, Chew Lim Tan:
Exploiting Discourse Analysis for Article-Wide Temporal Classification. EMNLP 2013: 12-23 - [c84]Yiping Jin, Min-Yen Kan, Jun-Ping Ng, Xiangnan He:
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology. EMNLP 2013: 780-790 - [c83]Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi, Kai Ishikawa:
Chinese Informal Word Normalization: an Experimental Study. IJCNLP 2013 - [c82]Kazunari Sugiyama, Min-Yen Kan:
Exploiting potential citation papers in scholarly paper recommendation. JCDL 2013: 153-162 - [c81]Huy Hoang Nhat Do, Muthu Kumar Chandrasekaran, Philip S. Cho, Min-Yen Kan:
Extracting and matching authors and affiliations in scholarly documents. JCDL 2013: 219-228 - [c80]Bamdad Bahrani, Min-Yen Kan:
Multimodal alignment of scholarly documents and their presentations. JCDL 2013: 281-284 - [c79]Jesse Prabawa Gozali, Min-Yen Kan, Hari Sundaram:
Constructing an anonymous dataset from the personal digital photo libraries of mac app store users. JCDL 2013: 305-308 - [c78]Tao Chen, Dongyuan Lu, Min-Yen Kan, Peng Cui:
Understanding and classifying image tweets. ACM Multimedia 2013: 781-784 - [c77]Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua:
Addressing cold-start in app recommendation: latent user models constructed from twitter followers. SIGIR 2013: 283-292 - 2012
- [c76]Praveen Bysani, Min-Yen Kan:
Integrating User-Generated Content in the ACL Anthology. Discoveries@ACL 2012: 83-87 - [c75]Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan:
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation. ACL (1) 2012: 1006-1014 - [c74]Jin Zhao, Praveen Bysani, Min-Yen Kan:
Exploiting Classification Correlations for the Extraction of Evidence-based Practice Information. AMIA 2012 - [c73]Jun-Ping Ng, Praveen Bysani, Ziheng Lin, Min-Yen Kan, Chew Lim Tan:
Exploiting Category-Specific Information for Multi-Document Summarization. COLING 2012: 2093-2108 - [c72]Jun-Ping Ng, Min-Yen Kan:
Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations. COLING 2012: 2109-2124 - [c71]Anqi Cui, Liner Yang, Dejun Hou, Min-Yen Kan, Yiqun Liu, Min Zhang, Shaoping Ma:
PrEV: Preservation Explorer and Vault for Web 2.0 User-Generated Content. TPDL 2012: 101-112 - [c70]Jesse Prabawa Gozali, Min-Yen Kan, Hari Sundaram:
Hidden Markov Model for Event Photo Stream Segmentation. ICME Workshops 2012: 25-30 - [c69]Jonathan Y. H. Poon, Kazunari Sugiyama, Yee Fan Tan, Min-Yen Kan:
Instructor-centric source code plagiarism detection and plagiarism corpus. ITiCSE 2012: 122-127 - [c68]Jesse Prabawa Gozali, Min-Yen Kan, Hari Sundaram:
How do people organize their photos in each event and how does it affect storytelling, searching and interpretation tasks? JCDL 2012: 315-324 - 2011
- [c67]Ziheng Lin, Hwee Tou Ng, Min-Yen Kan:
Automatically Evaluating Text Coherence Using Discourse Relations. ACL 2011: 997-1006 - [c66]Kazunari Sugiyama, Min-Yen Kan:
Serendipitous recommendation for scholarly papers considering relations among researchers. JCDL 2011: 307-310 - [c65]Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Yen Kan:
Product review summarization from a deeper perspective. JCDL 2011: 311-314 - [i11]Jun-Ping Ng, Praveen Bysani, Ziheng Lin, Min-Yen Kan, Chew Lim Tan:
SWING: Exploiting Category-Specific Information for Guided Summarization. TAC 2011 - [i10]Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Yen Kan:
Product Review Summarization based on Facet Identification and Sentence Clustering. CoRR abs/1110.1428 (2011) - [i9]Tao Chen, Min-Yen Kan:
Creating a Live, Public Short Message Service Corpus: The NUS SMS Corpus. CoRR abs/1112.2468 (2011) - 2010
- [j9]Minh-Thang Luong, Thuy Dung Nguyen, Min-Yen Kan:
Logical Structure Recovery in Scholarly Articles with Rich Document Features. Int. J. Digit. Libr. Syst. 1(4): 1-23 (2010) - [c64]Sein Lin, Jun-Ping Ng, Shreyasee S. Pradhan, Jatin Shah, Ricardo Pietrobon, Min-Yen Kan:
Extracting Formulaic and Free Text Clinical Research Articles Metadata using Conditional Random Fields. Louhi@NAACL-HLT 2010: 90-95 - [c63]Vu Cong Duy Hoang, Min-Yen Kan:
Towards Automated Related Work Summarization. COLING (Posters) 2010: 427-435 - [c62]Su Nam Kim, Timothy Baldwin, Min-Yen Kan:
Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction. COLING 2010: 572-580 - [c61]Minh-Thang Luong, Min-Yen Kan:
Enhancing Morphological Alignment for Translating Highly Inflected Languages. COLING 2010: 743-751 - [c60]Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. EMNLP 2010: 148-157 - [c59]Markus Hänse, Min-Yen Kan, Achim Karduck:
Kairos: Proactive Harvesting of Research Paper Metadata from Scientific Conference Web Sites. ICADL 2010: 226-235 - [c58]Kazunari Sugiyama, Min-Yen Kan:
Scholarly paper recommendation via user's recent research interests. JCDL 2010: 29-38 - [c57]Jin Zhao, Min-Yen Kan:
Domain-specific iterative readability computation. JCDL 2010: 205-214 - [c56]Thuy Dung Nguyen, Min-Yen Kan, Dinh-Trung Dang, Markus Hänse, Ching Hoi Andy Hong, Minh-Thang Luong, Jesse Prabawa Gozali, Kazunari Sugiyama, Yee Fan Tan:
ForeCite: towards a reader-centric scholarly digital library. JCDL 2010: 387-388 - [c55]Su Nam Kim, Olena Medelyan, Min-Yen Kan, Timothy Baldwin:
SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles. SemEval@ACL 2010: 21-26 - [c54]Yee Fan Tan, Min-Yen Kan:
Hierarchical Cost-Sensitive Web Resource Acquisition for Record Matching. Web Intelligence 2010: 382-389 - [e2]Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov:
Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6458, Springer 2010, ISBN 978-3-642-17186-4 [contents] - [i8]Ziheng Lin, Hwee Tou Ng, Min-Yen Kan:
A PDTB-Styled End-to-End Discourse Parser. CoRR abs/1011.0835 (2010)
2000 – 2009
- 2009
- [c53]Hendra Setiawan, Min-Yen Kan, Haizhou Li, Philip Resnik:
Topological Ordering of Function Words in Hierarchical Phrase-based Translation. ACL/IJCNLP 2009: 324-332 - [c52]Su Nam Kim, Timothy Baldwin, Min-Yen Kan:
Extracting Domain-Specific Words - A Statistical Approach. ALTA 2009: 94-98 - [c51]Ziheng Lin, Min-Yen Kan, Hwee Tou Ng:
Recognizing Implicit Discourse Relations in the Penn Discourse Treebank. EMNLP 2009: 343-351 - [c50]Simone Teufel, Min-Yen Kan:
Robust Argumentative Zoning for Sensemaking in Scholarly Documents. NLP4DL/AT4DL 2009: 154-170 - [c49]Su Nam Kim, Min-Yen Kan:
Re-examining Automatic Keyphrase Extraction Approaches in Scientific Articles. MWE@IJCNLP 2009: 9-16 - [c48]Huu Hung Hoang, Su Nam Kim, Min-Yen Kan:
A re-examination of lexical association measures. MWE@IJCNLP 2009: 31-39 - [c47]Paula M. Procter, Min-Yen Kan, Siu Yin Lee, Siti Zubaidah, Wai Kin Yip, Jin Jhao, David Arthur, Goh Mien Li:
eEvidence: Supplying Evidence to the Patient Interaction. Nursing Informatics 2009: 488-492 - 2008
- [j8]Min-Yen Kan, Yee Fan Tan:
Record matching in digital library metadata. Commun. ACM 51(2): 91-94 (2008) - [j7]Min-Yen Kan, Dongwon Lee, Ee-Peng Lim:
Scholarly digital libraries at scale: introduction to the special issue on very large digital libraries. Int. J. Digit. Libr. 9(2): 81-82 (2008) - [j6]Min-Yen Kan, Ye Wang, Denny Iskandar, Tin Lay Nwe, Arun Shenoy:
LyricAlly: Automatic Synchronization of Textual Lyrics to Acoustic Music Signals. IEEE Trans. Speech Audio Process. 16(2): 338-349 (2008) - [c46]Dinh-Trung Dang, Yee Fan Tan, Min-Yen Kan:
Towards a Webpage-Based Bibliographic Manager. ICADL 2008: 313-316 - [c45]Long Qiu, Min-Yen Kan, Tat-Seng Chua:
Modeling Context in Scenario Template Creation. IJCNLP 2008: 157-164 - [c44]Jin Zhao, Min-Yen Kan, Yin Leng Theng:
Math information retrieval: user requirements and prototype implementation. JCDL 2008: 187-196 - [c43]Guo Min Liew, Min-Yen Kan:
Slide image retrieval: a preliminary study. JCDL 2008: 359-362 - [c42]Steven Bird, Robert Dale, Bonnie J. Dorr, Bryan R. Gibson, Mark Thomas Joseph, Min-Yen Kan, Dongwon Lee, Brett Powley, Dragomir R. Radev, Yee Fan Tan:
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics. LREC 2008 - [c41]Isaac G. Councill, C. Lee Giles, Min-Yen Kan:
ParsCit: an Open-source CRF Reference String Parsing Package. LREC 2008 - [c40]Yee Fan Tan, Ergin Elmacioglu, Min-Yen Kan, Dongwon Lee:
Efficient Web-Based Linkage of Short to Long Forms. WebDB 2008 - [i7]Ziheng Lin, Huu Hung Hoang, Long Qiu, Shiren Ye, Min-Yen Kan:
NUS at TAC 2008: Augumenting Timestamped Graphs with Event Information and Selectively Expanding Opinion Contexts. TAC 2008 - 2007
- [j5]Wei Lu, Min-Yen Kan:
Supervised categorization of JavaScriptTM using program analysis features. Inf. Process. Manag. 43(2): 431-444 (2007) - [j4]Shiren Ye, Tat-Seng Chua, Min-Yen Kan, Long Qiu:
Document concept lattice for text understanding and summarization. Inf. Process. Manag. 43(6): 1643-1662 (2007) - [j3]Hang Cui, Min-Yen Kan, Tat-Seng Chua:
Soft pattern matching models for definitional question answering. ACM Trans. Inf. Syst. 25(2): 8 (2007) - [c39]Hendra Setiawan, Min-Yen Kan, Haizhou Li:
Ordering Phrases with Function Words. ACL 2007 - [c38]Thuy Dung Nguyen, Min-Yen Kan:
Keyphrase Extraction in Scientific Publications. ICADL 2007: 317-326 - [c37]Min-Yen Kan:
SlideSeer: a digital library of aligned document and presentation pairs. JCDL 2007: 81-90 - [c36]Su Yan, Dongwon Lee, Min-Yen Kan, C. Lee Giles:
Adaptive sorted neighborhood methods for efficient record linkage. JCDL 2007: 185-194 - [c35]Jesse Prabawa Gozali, Min-Yen Kan:
A rich OPAC user interface with AJAX. JCDL 2007: 329-330 - [c34]Ergin Elmacioglu, Yee Fan Tan, Su Yan, Min-Yen Kan, Dongwon Lee:
PSNUS: Web People Name Disambiguation by Simple Clustering with Rich Features. SemEval@ACL 2007: 268-271 - [c33]Ergin Elmacioglu, Min-Yen Kan, Dongwon Lee, Yi Zhang:
Web based linkage. WIDM 2007: 121-128 - 2006
- [c32]Shi-Yong Neo, Jin Zhao, Min-Yen Kan, Tat-Seng Chua:
Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting. CIVR 2006: 143-152 - [c31]Fei Wang, Min-Yen Kan:
NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features. CIVR 2006: 473-482 - [c30]Long Qiu, Min-Yen Kan, Tat-Seng Chua:
Paraphrase Recognition via Dissimilarity Significance Classification. EMNLP 2006: 18-26 - [c29]Yee Fan Tan, Min-Yen Kan, Dongwon Lee:
Search engine driven author disambiguation. JCDL 2006: 314-315 - [c28]Denny Iskandar, Ye Wang, Min-Yen Kan, Haizhou Li:
Syllabic level automatic synchronization of music signals and text lyrics. ACM Multimedia 2006: 659-662 - [e1]Hwee Tou Ng, Mun-Kew Leong, Min-Yen Kan, Dong-Hong Ji:
Information Retrieval Technology, Third Asia Information Retrieval Symposium, AIRS 2006, Singapore, October 16-18, 2006, Proceedings. Lecture Notes in Computer Science 4182, Springer 2006, ISBN 3-540-45780-1 [contents] - 2005
- [j2]Noemie Elhadad, Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown:
Customization in a unified framework for summarizing medical literature. Artif. Intell. Medicine 33(2): 179-198 (2005) - [c27]Wei Lu, Min-Yen Kan:
Supervised Categorization of JavaScriptTM Using Program Analysis Features. AIRS 2005: 160-173 - [c26]Min-Yen Kan, Hoang Oanh Nguyen Thi:
Fast webpage classification using URL features. CIKM 2005: 325-326 - [c25]Bageshree Shevade, Hari Sundaram, Min-Yen Kan:
A Collaborative Annotation Framework. ICME 2005: 1346-1349 - [c24]Min-Yen Kan, Danny C. C. Poo:
Detecting and supporting known item queries in online public access catalogs. JCDL 2005: 91-99 - [c23]Hang Cui, Min-Yen Kan, Tat-Seng Chua:
Generic soft pattern models for definitional question answering. SIGIR 2005: 384-391 - [c22]Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Seng Chua:
Question answering passage retrieval using dependency relations. SIGIR 2005: 400-407 - [c21]Renxu Sun, Hang Cui, Keya Li, Min-Yen Kan, Tat-Seng Chua:
Dependency relation matching for answer selection. SIGIR 2005: 651-652 - [c20]Renxu Sun, Jing Jiang, Yee Fan Tan, Hang Cui, Tat-Seng Chua, Min-Yen Kan:
Using Syntactic and Semantic Relation Analysis in Question Answering. TREC 2005 - 2004
- [j1]Min-Yen Kan:
Book review. J. Assoc. Inf. Sci. Technol. 55(2): 178-179 (2004) - [c19]Jeffry Komarjaya, Danny C. C. Poo, Min-Yen Kan:
Corpus-Based Query Expansion in Online Public Access Catalogs. ECDL 2004: 221-231 - [c18]Long Qiu, Min-Yen Kan, Tat-Seng Chua:
A Public Reference Implementation of the RAP Anaphora Resolution Algorithm. LREC 2004 - [c17]Ye Wang, Min-Yen Kan, Tin Lay Nwe, Arun Shenoy, Jun Yin:
LyricAlly: automatic synchronization of acoustic musical signals and textual lyrics. ACM Multimedia 2004: 212-219 - [c16]Hang Cui, Keya Li, Renxu Sun, Tat-Seng Chua, Min-Yen Kan:
National University of Singapore at the TREC 13 Question Answering Main Task. TREC 2004 - [c15]Chee How Lee, Min-Yen Kan, Sandra Lai:
Stylistic and lexical co-training for web block classification. WIDM 2004: 136-143 - [c14]Hang Cui, Min-Yen Kan, Tat-Seng Chua:
Unsupervised learning of soft patterns for generating definitions from online news. WWW 2004: 90-99 - [c13]Min-Yen Kan:
Web page classification without the web page. WWW (Alternate Track Papers & Posters) 2004: 262-263 - [i6]Long Qiu, Min-Yen Kan, Tat-Seng Chua:
A Public Reference Implementation of the RAP Anaphora Resolution Algorithm. CoRR cs.CL/0406031 (2004) - 2003
- [c12]Hui Yang, Hang Cui, Mstislav Maslennikov, Long Qiu, Min-Yen Kan, Tat-Seng Chua:
QUALIFIER In TREC-12 QA Main Task. TREC 2003: 480-488 - [c11]Simon Lok, Min-Yen Kan:
Employing Natural Language Summarization and Automated Layout for Effective Presentation and Navigation of Information Retrieval Results. WWW (Posters) 2003 - 2002
- [c10]André Kushniruk, Min-Yen Kan, Kathleen R. McKeown, Judith Klavans, Desmond A. Jordan, Mark Laflamme, Vimla L. Patel:
Usability evaluation of an experimental text summarization system and three search engines: implications for the reengineering of health care interfaces. AMIA 2002 - [c9]Min-Yen Kan, Kathleen R. McKeown:
Corpus-trained Text Generation for Summarization. INLG 2002: 1-8 - [c8]Min-Yen Kan, Judith Klavans:
Using librarian techniques in automatic text summarization for information retrieval. JCDL 2002: 36-45 - [c7]Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown:
Using the Annotated Bibliography as a Resource for Indicative Summarization. LREC 2002 - [i5]Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown:
Using the Annotated Bibliography as a Resource for Indicative Summarization. CoRR cs.CL/0206007 (2002) - 2001
- [c6]Min-Yen Kan, Kathleen R. McKeown, Judith L. Klavans:
Applying Natural Language Generation to Indicative Summarization. EWNLG@ACL 2001 - [c5]Noemie Elhadad, Min-Yen Kan, Simon Lok, Smaranda Muresan:
PERSIVAL: personalized summarization over multimedia health-care information. JCDL 2001: 455 - [i4]Min-Yen Kan, Kathleen R. McKeown, Judith L. Klavans:
Applying Natural Language Generation to Indicative Summarization. CoRR cs.CL/0107019 (2001)
1990 – 1999
- 1999
- [c4]Martin Braschler, Min-Yen Kan, Peter Schäuble, Judith Klavans:
The Eurospider Retrieval System and the TREC-8 Cross-Language Track. TREC 1999 - 1998
- [c3]Judith Klavans, Min-Yen Kan:
Role of Verbs in Document Analysis. COLING-ACL 1998: 680-686 - [c2]Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown:
Linear Segmentation and Segment Significance. VLC@COLING/ACL 1998 - [c1]Judith L. Klavans, Katlleen McKeown, Min-Yen Kan, Susan Lee:
Resources for evaluation of summarization techniques. LREC 1998: 899-902 - [i3]Judith Klavans, Min-Yen Kan:
The Role of Verbs in Document Analysis. CoRR cmp-lg/9807002 (1998) - [i2]Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown:
Linear Segmentation and Segment Significance. CoRR cs.CL/9809020 (1998) - [i1]Judith L. Klavans, Kathleen R. McKeown, Min-Yen Kan, Susan Lee:
Resources for Evaluation of Summarization Techniques. CoRR cs.CL/9810014 (1998)
Coauthor Index
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