Min-Yen Kan(靳民彦)

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti and Nianwen Xue

ACL Anthology · Edited volume listed on publications page

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation: Tutorial Summaries (LREC-COLING 2024)

Roman Klinger, Naozaki Okazaki, Nicoletta Calzolari and Min-Yen Kan

ACL Anthology · Second edited volume listed on publications page

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Proceedings of the 18th ACM/IEEE-CS Joint Conference on Digital Libraries, Fort Worth, Texas, USA. June 3-6.

Jiangping Chen, Marcos André Gonçalves, Jeff M. Allen, Edward A. Fox, Min-Yen Kan and Vivien Petras

JCDL · Edited volume listed on publications page

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Regina Barzilay and Min-Yen Kan

ACL Anthology · 1-2209 · Volume 1 listed on publications page

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Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Regina Barzilay and Min-Yen Kan

ACL Anthology · 1-732 · Volume 2 listed on publications page

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Information Retrieval Technology: 6th Asia Information Retrieval Societies Conference, AIRS 2010, Lecture Notes in Computer Science (LNCS), Volume 6458, Taipei, Taiwan, December 1-3, 2010. 627 pp. ISBN: 978-3-642-17186-4

Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav I. Nakov

SpringerLink · Volume listed on publications page

Proceedings of NLPIR4DL 2009: 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries. Association for Computational Linguistics and the Asian Federation of Natural Language Processing, Singapore, August 2009.

Simone Teufel and Min-Yen Kan

ACL Anthology · Includes ACL Anthology, local copy, and preface links

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Scholarly digital libraries at scale: introduction to the special issue on very large digital libraries. International Journal on Digital Libraries 9(2): pp. 81-82

Min-Yen Kan, Dongwon Lee and Ee-Peng Lim

International Journal on Digital Libraries · 9 (2) · 81-82 · Local copy also listed on the page

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Information Retrieval Technology: Third Asia Information Retrieval Symposium, AIRS 2006, Lecture Notes in Computer Science (LNCS), Volume 4182. Singapore, October 16-18, Springer, 684 pp. IBSN: 978-3-540-45780-0

Hwee Tou Ng, Mun-Kew Leong, Min-Yen Kan and Donghong Ji

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Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts

Zhengyuan Liu, Stella Xin Yin, Min-Yen Kan and Nancy F. Chen

Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2026) · Long Paper

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ComicVQA: A Benchmark for Visual Reasoning in Multimodal LLMs

Esther Gan, Hannah Brown, David Herel, Kenji Kawaguchi, Min-Yen Kan and Michael Qizhe Shieh

Findings of the Association for Computational Linguistics: ACL 2026 · 25347-25370 · Findings paper; San Diego, California, United States; Association for Computational Linguistics

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Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation

Jiaying Wu, Zihang Fu, Haonan Wang, Fanxiao Li, Jiafeng Guo, Preslav Nakov and Min-Yen Kan

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 5152-5171

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What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews

Fanxiao Li, Jiaying Wu, Tingchao Fu, Dayang Li, Herun Wan, Wei Zhou and Min-Yen Kan

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 6480-6502

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When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval

Tongyao Zhu, Huang Chao Ming and Min-Yen Kan

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 31544-31562

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Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking

Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li and Yang Deng

Advances in Information Retrieval: Proceedings of the 48th European Conference on Information Retrieval (ECIR 2026) · 16484 · 204-221 · Lecture Notes in Computer Science 16484; Springer, Cham

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HistoricRAG: Evidence-Centered Newspaper Retrieval for Misinformation-Resilient Question Answering

Stergios Konstantinidis, Min-Yen Kan and Michalis Vlachos

Proceedings of the 29th International Conference on Extending Database Technology (EDBT 2026) · 724-727 · Tampere, Finland; OpenProceedings.org publisher PDF: https://openproceedings.org/2026/conf/edbt/paper-321.pdf

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Conversing with the Past: Immersive Access to Cultural Digital Archives with LLMs and Spatial Interfaces

Michalis Vlachos, Stergios Konstantinidis, Arman Dzhrahatspanian and Min-Yen Kan

Companion Proceedings of the 31st International Conference on Intelligent User Interfaces (IUI Companion 2026) · 143-147 · IUI Companion 2026

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MuSLR: Multimodal Symbolic Logical Reasoning

Jundong Xu, Hao Fei, Yuhui Zhang, Liangming Pan, Qijun Huang, Qian Liu, Preslav Nakov, Min-Yen Kan, William Yang Wang, Mong-Li Lee and Wynne Hsu

Neural Information Processing Systems (NeurIPS) 2026 · Poster Paper

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SkyLadder: Better and Faster Pretraining via Context Window Scheduling

Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang and Min-Yen Kan

Neural Information Processing Systems (NeurIPS) 2026 · Poster Paper

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Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning

Yifei Xu, Jiaying Wu, Herun Wan, Yang Li, Zhen Hou and Min-Yen Kan

The 34th ACM International Conference on Information and Knowledge Management (CIKM) · Short Paper

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Discursive Circuits: How Do Language Models Understand Discourse Relations?

Yisong Miao and Min-Yen Kan

Proceedings of the Empirical Methods in Natural Language Processing (EMNLP) 2025 · Main oral paper

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Are Knowledge and Reference in Multilingual Language Models Cross-Lingually Consistent?

Xi Ai, Mahardika Krisna Ihsani, Min-Yen Kan

Proceedings of the Empirical Methods in Natural Language Processing (EMNLP) 2025 · Findings paper

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KAHAN: Knowledge-Augmented Hierarchical Analysis and Narration for Financial Data Narration

Yajing Yang, Tony Deng and Min-Yen Kan

Proceedings of the Empirical Methods in Natural Language Processing (EMNLP) 2025 · Findings paper

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Evaluating Sakana's AI Scientist for Autonomous Research: Wishful Thinking or an Emerging Reality Towards 'Artificial Research Intelligence' (ARI)?

Joeran Beel, Min-Yen Kan and Moritz Baumgart

ACM SIGIR Forum 59(1) · 59 (1)

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CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization

Yixi Ding, Jiaying Wu, Tongyao Zhu, Yanxia Qin, Qian Liu and Min-Yen Kan

KDD 2025 SciSoc LLM Workshop

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Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers

Luciana Benotti, Fanny Ducel, Karën Fort, Guido Ivetta, Zhijing Jin, Min-Yen Kan, Seunghun J. Lee, Minzhi Li, Margot Mieskes and Adriana Pagano

63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) · 5 · 7-8

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What Makes a Good Natural Language Prompt?

Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi, Nancy F. Chen, Shafiq Joty and Min-Yen Kan

Proceedings of the Association for Computational Linguistics (ACL '25)

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Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines

Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong, Luu Anh Tuan, Kenji Kawaguchi, Shafiq Joty, Min-Yen Kan and Nancy F. Chen

Proceedings of the Findings of the Association for Computational Linguistics (ACL '25)

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DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation

Minzhi Li, Zhengyuan Liu, Shumin Deng, Shafiq Joty, Nancy Chen and Min-Yen Kan

Proceedings of the 31st International Conference on Computational Linguistics · 2277-2290

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LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs

Do Xuan Long, Ngoc-Hai Nguyen, Tiviatis Sim, Hieu Dao, Shafiq Joty, Kenji Kawaguchi, Nancy F. Chen and Min-Yen Kan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · 299-330

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ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems

Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan and Haizhou Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025 · 295-312

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TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning

Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov and Min-Yen Kan

Proceedings of the Findings of the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings NAACL '25)

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Aligning Large Language Models with Human Opinions through Persona Selection and Value–Belief–Norm Reasoning

Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan and Nancy Chen

Proceedings of the 31st International Conference on Computational Linguistics · 2526-2547

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V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization

Yuxi Xie, Guanzhen Li, Xiao Xu and Min-Yen Kan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024 · 13258-13273

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MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans?

Guanzhen Li, Yuxi Xie and Min-Yen Kan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024 · 13505-13527

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Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models

Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan and Nancy F. Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · 20370-20401

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A Probability–Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors

Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan and Ryan Cotterell

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · 14805-14829

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DataTales: A Benchmark for Real-World Intelligent Data Narration

Yajing Yang, Qian Liu and Min-Yen Kan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24)

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Reasoning Robustness of LLMs to Adversarial Typographical Errors

Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan and Michael Shieh

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24)

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Beyond Memorization: The Challenge of Random Memory Access in Language Models

Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan and Min Lin

Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL '24)

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Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations

Yisong Miao, Hongfu Liu, Wenqiang Lei, Nancy F. Chen and Min-Yen Kan

Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL '24)

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UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking

Chuang Li, Yan Zhang, Min-Yen Kan and Haizhou Li

Proceedings of the Findings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings NAACL '24)

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Self-Adaptive Sampling for Efficient Video Question Answering on Image-Text Models

Wei Han, Hui Chen, Min-Yen Kan and Soujanya Poria

Proceedings of the Findings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings NAACL '24)

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Discrete Semantic Tokenization for Deep CTR Prediction

Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan and Xiao-Ming Wu

Proceedings of the ACM Web Conference '24

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The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models

Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan and Tsung-Yi Ho

Proceedings of the Twelfth International Conference on Learning Representations (ICLR)

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NNOSE: Nearest Neighbor Occupational Skill Extraction

Mike Zhang, Rob van der Goot, Min-Yen Kan and Barbara Plank

Proceedings of the European Chapter of the Association for Computational Linguistics (EACL)

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User Behavior Enriched Temporal Knowledge Graph for Sequential Recommendation

Hengchang Hu, Wei Guo, Yong Liu, Xu Liu, Ruiming Tang, Rui Zhang and Min-Yen Kan

Proceedings of the 17th ACM International Conference on Web Search and Data Mining

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ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning

Yuxi Xie, Guanzhen Li and Min-Yen Kan

Proceedings of the Conference on Findings of the Empirical Methods in Natural Language Processing (Findings of EMNLP '23)

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SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables

Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov and Min-Yen Kan

Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '23)

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On the Risk of Misinformation Pollution with Large Language Models

Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan and William Yang Wang

Proceedings of the Conference on Findings of the Empirical Methods in Natural Language Processing (Findings of EMNLP '23)

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The ACL OCL Corpus: Advancing Open Science in Computational Linguistics

Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan and Min-Yen Kan

Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '23)

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CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Minzhi Li, Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy F. Chen, Zhengyuan Liu and Diyi Yang

Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '23)

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Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems

Hengchang Hu, Wei Guo, Yong Liu and Min-Yen Kan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23)

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A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems

Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan and Haizhou Li

Proceedings of 5th KaRS Workshop

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Songs Across Borders: Singable and Controllable Neural Lyric Translation

Longshen Ou, Xichu Ma, Min-Yen Kan and Ye Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL'23)

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Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation

Taha Aksu, Min-Yen Kan and Nancy F. Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL'23)

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Fact-Checking Complex Claims with Program-Guided Reasoning

Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan and Preslav Nakov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL'23)

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TraVLR: Now You See It, Now You Don't! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning

Keng Ji Chow, Samson Tan and Min-Yen Kan

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL'23)

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UDAPTER - Efficient Domain Adaptation Using Adapters

Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan and Soujanya Poria

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL'23)

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Understanding Ethics in NLP Authoring and Reviewing

Luciana Benotti, Karën Fort, Min-Yen Kan and Yulia Tsvetkov

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL'23)

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Improving Recommendation Systems with User Personality Inferred from Product Reviews

Xinyuan Lu and Min-Yen Kan

Proceedings of the WSDM 2023 Workshop on Interactive Recommender Systems (IRS-WSDM'23)

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Doolittle: Benchmarks and Corpora for Academic Writing Formalization

Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan and Tong Zhang

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Self-Evaluation Guided Beam Search for Reasoning

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He and Qizhe Xie

Proceedings of Neural Information Processing Symposium (NeurIPS). New Orleans, USA. December 10-16. (Posted to cs.CL, cs.AI and cs.LG)

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Automatic Feature Fairness in Recommendation via Adversaries

Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan and Min-Yen Kan

Proceedings of the 1st SIGIR-AP Conference, November 26-29, Beijing, China

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Investigating Zero- and Few-shot Generalization in Fact Verification

Liangming Pan, Yunxiang Zhang and Min-Yen Kan

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL '23). (Posted to cs.CL)

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FollowUpQG: Towards Information-Seeking Follow-up Question Generation

Yan Meng, Liangming Pan, Yixin Cao and Min-Yen Kan

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL '23). (Posted to cs.CL)

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Attacking Open-domain Question Answering by Injecting Misinformation

Liangming Pan, Wenhu Chen, Min-Yen Kan and William Yang Wang

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL '23). (Posted to cs.CL) · Area Chair Award (Question Answering)

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Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Min-Yen Kan, Dechen Zhan and Jian-Guang Lou

Proceedings of the Empirical Methods for Natural Language Processing (EMNLP '22)

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MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences

Wei Han, Hui Chen, Min-Yen Kan and Soujanya Poria

Proceedings of the Empirical Methods for Natural Language Processing (EMNLP '22)

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Lightweight Contextual Logical Structure Recovery

Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing Yang and Min-Yen Kan

Proceedings of 3rd Workshop on Scholarly Document Processing @ COLING '22 (SDP '22)

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Modeling and Leveraging Prerequisite Context in Recommendation

Hengchang Hu, Liangming Pan, Yiding Ran and Min-Yen Kan

Proceedings of the Workshop on Context-Aware Recommendation Systems (CARS) at ACM RecSys '22

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PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation

Yiding Ran, Hengchang Hu and Min-Yen Kan

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems at ACM RecSys '22

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CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations

Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan and See-Kiong Ng

Proceedings of the 29th International Conference on Computational Linguistics (COLING '22)

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Comparative Snippet Generation

Saurabh Jain, Yisong Miao and Min-Yen Kan

Proceedings of the 5th Workshop on e-Commerce and NLP

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Interpreting the Robustness of Neural NLP Models to Textual Perturbations

Yunxiang Zhang, Liangming Pan, Samson Tan and Min-Yen Kan

Findings of Association for Computational Linguistics '22

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So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann and Soujanya Poria

Proceedings of the Annual Meeting of the Association for Computational Linguistics '22

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N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking

Ibrahim Taha Aksu, Zhengyuan Liu, Min-Yen Kan and Nancy F. Chen

Findings of Association for Computational Linguistics '22

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GL-CLeF: A Global--Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding

Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che and Min-Yen Kan

Proceedings of the Annual Meeting of the Association for Computational Linguistics '22

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AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics

Xichu Ma, Ye Wang, Min-Yen Kan and Wee Sun Lee

Proceedings of the ACM Conference on Multimedai (ACM MM '21)

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Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation

Taha Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy F. Chen

Proceedings of The 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL '21)

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DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension

Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan and Ting Liu

Proceedings of International Joint Conference on Neural Networks (IJCNN'21)

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Analyzing the Domain Robustness of Pretrained Language Models, Layer by Layer

Abhinav Ramesh Kashyap, Laiba Mehnaz, Bhavitvya Malik, Abdul Waheed, Devamanyu Hazarika, Min-Yen Kan and Rajiv Ratn Shah

Proceedings of the Adapt-NLP 2021 workshop

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Zero-shot Fact Verification by Claim Generation

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Yang Wang

ACL-IJCNLP 2021 (Short Paper)

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Reliability Testing for Natural Language Processing Systems

Samson Tan, Shafiq Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing · Best Paper Nominee

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Unsupervised Multi-hop Question Answering by Question Generation

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Yang Wang

Proceedings of 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Domain Divergences: a Survey and Empirical Analysis

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan and Roger Zimmermann

Proceedings of 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Molweni: A Challenge Multiparty Dialogue-based Machine Reading Comprehension Dataset with Discourse Structure

Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu and Bing Qin

Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)

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Exploring Question-Specific Rewards for Generating Deep Questions

Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan and Yansong Feng

Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)

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Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

Akshay Bhola, Kishaloy Halder, Animesh Prasad and Min-Yen Kan

Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)

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SciWING - A Software Toolkit for Scientific Document Processing

Abhinav Ramesh Kashyap and Min-Yen Kan

1st Workshop on Scholarly Document Processing @ EMNLP 2020

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Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding

Samson Tan, Shafiq Joty, Lav R. Varshney and Min-Yen Kan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing

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Re-examining the Role of Schema Linking in Text-to-SQL

Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan and Tat-Seng Chua

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing

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Multi-modal Cooking Workflow Construction for Food Recipes

Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yugang Jiang and Tat-Seng Chua

Proceedings of the 28th ACM International Conference on Multimedia

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ServiceMarq: Extracting Service Contributions from Call for Papers

Shi Tian, Abhinav Ramesh Kashyap and Min-Yen Kan

Proceedings of the ACM Symposium on Document Engineering 2020 (DocEng '20)

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FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov and Min-Yen Kan

Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM '20) · Best Paper Award

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Semantic Graphs for Generating Deep Questions

Liangming Pan, Yuxi Xie, Yansong Feng, Tat Seng Chua and Min-Yen Kan

Proceedings of the 2020 Annual Meeting of the Association for Computational Linguistics (ACL '20)

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Expertise Style Transfer: A New Task Towards Better Communcation between Experts and Laymen

Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu and Tat-Seng Chua

Proceedings of the 2020 Annual Meeting of the Association for Computational Linguistics (ACL '20)

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It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations

Samson Tan, Shafiq Joty, Min-Yen Kan and Richard Socher

Proceedings of the 2020 Annual Meeting of the Association for Computational Linguistics (ACL '20)

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Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan and Tat Seng Chua

Proceedings of the Thirteenth ACM International Conference on Web Search and Data Mining (WSDM '20)

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Sentiment Aware Neural Machine Translation

Chenglei Si, Kui Wu, Ai Ti Aw and Min-Yen Kan

Proceedings of the 6th Workshop on Asian Translation

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ChairVisE: An analytic lens for conference submission data

Animesh Prasad, Saumya Ahuja, Shenhao Jiang, Bimlesh Wadhwa and Min-Yen Kan

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL '19) · Demonstration paper

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Neural Multi-Task Learning for Citation Function and Provenance

Xuan Su, Animesh Prasad, Min-Yen Kan and Kazunari Sugiyama

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL '19) · Longer version on arXiv

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Towards Joint End-to-End Dataset Mention Extraction and Classification

Animesh Prasad, Chenglei Si and Min-Yen Kan

Proceedings of the Workshop on extracting structured knowledge from scientific publications (ESSP '19)

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Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction

Animesh Prasad and Min-Yen Kan

Proceedings of the North American Chapter Meeting of the Association for Computational Linguistics (NAACL '19)

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Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture

Kishaloy Halder, Min-Yen Kan and Kazunari Sugiyama

Proceedings of the North American Chapter Meeting of the Association for Computational Linguistics (NAACL '19)

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Treatment Side Effect Prediction from Online User-generated Content

Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan and Kishaloy Halder

Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI '18)

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MUIR: Cross-Linking MOOC Resources to Enhance Discussion Forums

Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan and Yan Fu

Proceedings of the 22nd International Conference on Theory and Practice of Digital Libraries (TPDL 2018)

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Identifying Emergent Research Trends by Key Authors and Phrases

Shenhao Jiang, Animesh Prasad, Min-Yen Kan and Kazunari Sugiyama

Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018)

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Countering Position Bias in Instructor Interventions in MOOC Discussion Forums

Muthu Kumar Chandrasekaran and Min-Yen Kan

The 5th Workshop on Natural Language Processing Techniques for Educational Applications

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The ACL Anthology: Current State and Future Directions

Daniel Gildea, Min-Yen Kan, Nitin Madnani, Christoph Teichmann and Martín Villalba

Workshop for Natural Language Processing Open Source Software (NLP-OSS 2018)

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Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures

Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He and Dawei Yin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)

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Cold Start Thread Recommendation as Extreme Multi-label Classification

Kishaloy Halder, Lahari Poddar and Min-Yen Kan

XMLC for Social Media: WWW 2018 Companion: The 2018 Web Conference Companion

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Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution

Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu and Min-Yen Kan

Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-'18)

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Health Forum Recommendation Using an Interest Aware Topic Model

Kishaloy Halder, Min-Yen Kan and Kazunari Sugiyama

CIKM2017 International Conference on Information and Knowledge Management

Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach

Kishaloy Halder, Lahari Poddar and Min-Yen Kan

Proceedings of 8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA '17)

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SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition

Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He and Min-Yen Kan

Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI '17)

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WING-NUS at SemEval-2017 Task 10: Keyphrase Identification and Classification as Joint Sequence Labeling

Animesh Prasad and Min-Yen Kan

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) · 972

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Investigating Student Learning in Online Discussion Forums through a Transactivity Framework

Kiruthika Ragupathi, Muthu Kumar Chandrasekaran, Min-Yen Kan and Bernard C.Y. Tan

Proceedings of the International Society for the Scholarship of Teaching and Learning (ISSoTL '17)

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Using Discourse Signals for Robust Instructor Intervention Prediction

Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan and Diane Litman

Proceedings of the Thirty-First AAAI conference on Artificial Intelligence (AAAI-17)

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A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation

Kang Hong Jin, Tao Chen, Muthu Kumar Chandrasekaran and Min-Yen Kan

Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLP-TEA-3) · 30-39

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Scrutinizing Mobile App Recommendation: Identifying Important App-related Indicators

Jovian Lin, Kazunari Sugiyama, Min-Yen Kan and Tat-Seng Chua

Proceedings of the 12th Asia Information Retrieval Societies Conference (AIRS '16)

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Context-aware Image Tweet Modelling and Recommendation

Tao Chen, Xiangnan He and Min-Yen Kan

Proceedings of the 24th ACM International Conference on Multimedia (MM'16)

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Linking Organizational Social Network Profiles

Jerome Cheng, Kazunari Sugiyama and Min-Yen Kan

Proceedings of Special Interest Group on Information Retrieval (SIGIR '16)

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Fast Matrix Factorization for Online Recommendation with Implicit Feedback

Xiangnan He, Hanwang Zhang, Min-Yen Kan and Tat-Seng Chua

Proceedings of Special Interest Group on Information Retrieval (SIGIR '16)

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Towards Feasible Instructor Intervention in MOOC Discussion Forums

Muthu Kumar Chandrasekaran, Kiruthika Ragupathi, Min-Yen Kan and Bernard C. Y. Tan

Proceedings of 36th International Conference on Information Systems (ICIS '15)

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TriRank: Review-aware Explainable Recommendation by Modeling Aspects

Xiangnan He, Tao Chen, Min-Yen Kan and Xiao Chen

Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015) · 1661-1670

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#mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks

Bang Hui Lim, Dongyuan Lu, Tao Chen and Min-Yen Kan

Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM '15)

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Interactive Second Language Learning from News Websites

Tao Chen, Naijia Zheng, Yue Zhao, Muthu Kumar Chandrasekaran, Min-Yen Kan

Proceedings of 2nd Workshop on Natural Language Processing Techniques for Educational Applications (NLP-TEA '15)

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Learning instructor intervention from MOOC forums: Early Results and Issues

Muthu Kumar Chandrasekaran, Min-Yen Kan, Kiruthika Ragupathi and Bernard C. Y. Tan

Proceedings of Education Data Mining (EDM '15)

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Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs

Nguyen Viet Cuong, Muthu Kumar Chandrasekaran, Min-Yen Kan and Wee Sun Lee

Proceedings of the Joint Conference on Digital Libraries (JCDL '15) · 61-64

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Serving the Readers of Scholarly Documents: A Grand Challenge for the Introspective Digital Library

Min-Yen Kan

Proceedings of the Second International Conference on Big Data and Smart Computing · Invited paper

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VELDA: Relating an Image Tweet's Text and Images

Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan and Dongyuan Lu

Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15)

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Online Social Network Profile Linkage Based on Cost-Sensitive Feature Acquisition

Haochen Zhang, Min-Yen Kan, Yiqun Liu and Shaoping Ma

Proceedings of Social Media Processing (SMP '14) · 117-128

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Online Social Network Profile Linkage

Haochen Zhang, Min-Yen Kan, Yiqun Liu and Shaoping Ma

Proceedings of Asian Information Retrieval Symposium (AIRS '14)

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Predicting the Popularity of Web 2.0 Items Based on User Comments

Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu and Kazunari Sugiyama

Proceedings of Special Interest Group on Information Retrieval (SIGIR '14) · 233-242

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New and Improved: Modeling Versions to Improve App Recommendation

Jovian Lin, Kazunari Sugiyama, Min-Yen Kan and Tat-Seng Chua

Proceedings of Special Interest Group on Information Retrieval (SIGIR '14) · 647-656

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Exploiting Timelines to Enhance Multi-document Summarization

Jun-Ping Ng, Yan Chen, Min-Yen Kan and Zhoujun Li

the Proc. of the Annual Meeting of the Association of Computational Linguistics. Baltimore, USA. June · 923-933

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Comment-based Multi-View Clustering of Web 2.0 Items

Xiangnan He, Min-Yen Kan, Peichu Xie and Xiao Chen

Proceedings of the 23rd International Conference on the World Wide Web (WWW '14), Seoul, South Korea, April 7-11 · 771-782

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Exploiting Discourse Analysis for Article-Wide Temporal Classification

Jun-Ping Ng, Min-Yen Kan, Ziheng Lin, Wei Feng, Bin Chen, Jian Su and Chew-Lim Tan

Proceedings of the Conference on Empirical Methods in Natural Language Processing · 12-23

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Mining Scientific Terms and their Definitions: A Study of the ACL Anthology

Yiping Jin, Min-Yen Kan, Jun Ping Ng and Xiangnan He

Proceedings of the Conference on Empirical Methods in Natural Language Processing · 780-790

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Understanding and Classifying Image Tweets

Tao Chen, Dongyuan Lu, Min-Yen Kan and Peng Cui

Proceedings of the ACM Conference on Multimedia (MM) · 781-784

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Chinese Informal Word Normalization: an Experimental Study

Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi and Kai Ishikawa

Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP) · 127-135

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Addressing Cold-Start in App Recommendation: Latent User Models Constructed from Twitter Followers

Jovian Lin, Kazunari Sugiyama, Min-Yen Kan and Tat-Seng Chua

Proceedings of Special Interest Group on Information Retrieval (SIGIR '13) · 283-292

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Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation

Aobo Wang and Min-Yen Kan

Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL '13) · 731-741

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Multimodal Alignment of Scholarly Documents and Their Presentations

Bamdad Bahrani and Min-Yen Kan

Proceedings of the Joint Conference on Digital Libraries (JCDL '13) · 281-284

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Constructing an Anonymous Dataset From the Personal Digital Photo Libraries of Mac App Store Users

Jesse Prabawa Gozali, Min-Yen Kan and Hari Sundaram

Proceedings of the Joint Conference on Digital Libraries (JCDL '13) · 305-308