| 2026 | ACL | ComicVQA: A Benchmark for Visual Reasoning in Multimodal LLMs. | Esther Gan, Hannah Brown, David Herel, Kenji Kawaguchi, Min-Yen Kan, Michael Qizhe Shieh |
| 2026 | ACL | 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, Min-Yen Kan |
| 2026 | ACL | Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation. | Jiaying Wu, Zihang Fu, Haonan Wang, Fanxiao Li, Jiafeng Guo, Preslav Nakov, Min-Yen Kan |
| 2026 | ACL | When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval. | Tongyao Zhu, Huang Chao Ming, Min-Yen Kan |
| 2026 | ECIR | 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, Yang Deng |
| 2026 | EDBT | HistoricRAG: Evidence-Centered Newspaper Retrieval for Misinformation-Resilient Question Answering. | Stergios Konstantinidis, Min-Yen Kan, Michalis Vlachos |
| 2026 | IUI | Conversing with the Past: Immersive Access to Cultural Digital Archives with LLMs and Spatial Interfaces. | Michalis Vlachos, Stergios Konstantinidis, Arman Dzhrahatspanian, Min-Yen Kan |
| 2026 | SIGdial | Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts. | Zhengyuan Liu, Stella Xin Yin, Min-Yen Kan, Nancy F. Chen |
| 2025 | ACL | Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers. | Luciana Benotti, Fanny Ducel, Karn Fort, Guido Ivetta, Zhijing Jin, Min-Yen Kan, Seunghun J. Lee, Minzhi Li, Margot Mieskes, Adriana S. Pagano |
| 2025 | ACL | What Makes a Good Natural Language Prompt? | Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi, Nancy F. Chen, Shafiq Joty, Min-Yen Kan |
| 2025 | ACL | 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, Anh Tuan Luu, Kenji Kawaguchi, Shafiq Joty, Min-Yen Kan, Nancy F. Chen |
| 2025 | CIKM | Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning. | Yifei Xu, Jiaying Wu, Herun Wan, Yang Li, Zhen Hou, Min-Yen Kan |
| 2025 | COLING | Aligning Large Language Models with Human Opinions through Persona Selection and Value-Belief-Norm Reasoning. | Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen |
| 2025 | COLING | DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation. | Minzhi Li, Zhengyuan Liu, Shumin Deng, Shafiq Joty, Nancy F. Chen, Min-Yen Kan |
| 2025 | EMNLP | Are Knowledge and Reference in Multilingual Language Models Cross-Lingually Consistent? | Xi Ai, Mahardika Krisna Ihsani, Min-Yen Kan |
| 2025 | EMNLP | Discursive Circuits: How Do Language Models Understand Discourse Relations? | Yisong Miao, Min-Yen Kan |
| 2025 | EMNLP | KAHAN: Knowledge-Augmented Hierarchical Analysis and Narration for Financial Data Narration. | Yajing Yang, Tony Deng, Min-Yen Kan |
| 2025 | NAACL | ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems. | Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li |
| 2025 | NAACL | 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, Min-Yen Kan |
| 2025 | NAACL | TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. | Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan |
| 2024 | ACL | Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations. | Yisong Miao, Hongfu Liu, Wenqiang Lei, Nancy F. Chen, Min-Yen Kan |
| 2024 | ACL | Beyond Memorization: The Challenge of Random Memory Access in Language Models. | Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin |
| 2024 | EACL | NNOSE: Nearest Neighbor Occupational Skill Extraction. | Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank |
| 2024 | ECIR | Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. | Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan |
| 2024 | EMNLP | Reasoning Robustness of LLMs to Adversarial Typographical Errors. | Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh |
| 2024 | EMNLP | MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? | Guanzhen Li, Yuxi Xie, Min-Yen Kan |
| 2024 | EMNLP | 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, Nancy F. Chen |
| 2024 | EMNLP | 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, Ryan Cotterell |
| 2024 | EMNLP | V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization. | Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan |
| 2024 | EMNLP | DataTales: A Benchmark for Real-World Intelligent Data Narration. | Yajing Yang, Qian Liu, Min-Yen Kan |
| 2024 | ICLR | 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, Tsung-Yi Ho |
| 2024 | NAACL | Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models. | Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria |
| 2024 | NAACL | UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking. | Chuang Li, Yan Zhang, Min-Yen Kan, Haizhou Li |
| 2024 | WWW | Discrete Semantic Tokenization for Deep CTR Prediction. | Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu |
| 2024 | WSDM | User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. | Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan |
| 2023 | ACL | Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation. | Ibrahim Taha Aksu, Min-Yen Kan, Nancy F. Chen |
| 2023 | ACL | Songs Across Borders: Singable and Controllable Neural Lyric Translation. | Longshen Ou, Xichu Ma, Min-Yen Kan, Ye Wang |
| 2023 | ACL | Fact-Checking Complex Claims with Program-Guided Reasoning. | Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov |
| 2023 | CIKM | Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. | Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan |
| 2023 | EACL | TraVLR: Now You See It, Now You Don't! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning. | Keng Ji Chow, Samson Tan, Min-Yen Kan |
| 2023 | EACL | UDAPTER - Efficient Domain Adaptation Using Adapters. | Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria |
| 2023 | EMNLP | Doolittle: Benchmarks and Corpora for Academic Writing Formalization. | Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang |
| 2023 | EMNLP | CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability. | Yixi Ding, Yanxia Qin, Qian Liu, Min-Yen Kan |
| 2023 | EMNLP | 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, Diyi Yang |
| 2023 | EMNLP | SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. | Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan |
| 2023 | EMNLP | QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. | Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov |
| 2023 | EMNLP | On the Risk of Misinformation Pollution with Large Language Models. | Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang |
| 2023 | EMNLP | The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. | Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan |
| 2023 | EMNLP | ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning. | Yuxi Xie, Guanzhen Li, Min-Yen Kan |
| 2023 | IJCNLP | FollowupQG: Towards information-seeking follow-up question generation. | Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan |
| 2023 | IJCNLP | Attacking Open-domain Question Answering by Injecting Misinformation. | Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang |
| 2023 | IJCNLP | Investigating Zero- and Few-shot Generalization in Fact Verification. | Liangming Pan, Yunxiang Zhang, Min-Yen Kan |
| 2022 | ACL | Interpreting the Robustness of Neural NLP Models to Textual Perturbations. | Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan |
| 2022 | ACL | N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking. | Ibrahim Taha Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy F. Chen |
| 2022 | ACL | So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. | Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria |
| 2022 | ACL | 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, Min-Yen Kan |
| 2022 | COLING | Lightweight Contextual Logical Structure Recovery. | Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing Yang, Min-Yen Kan |
| 2022 | COLING | CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. | Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng |
| 2022 | EMNLP | Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. | Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou |
| 2022 | EMNLP | MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. | Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria |
| 2022 | RecSys | PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation. | Yiding Ran, Hengchang Hu, Min-Yen Kan |
| 2021 | ACL | Zero-shot Fact Verification by Claim Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2021 | ACL | Reliability Testing for Natural Language Processing Systems. | Samson Tan, Shafiq R. Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan |
| 2021 | IJCNN | 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, Ting Liu |
| 2021 | NAACL | Domain Divergences: A Survey and Empirical Analysis. | Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann |
| 2021 | NAACL | Unsupervised Multi-hop Question Answering by Question Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2021 | SIGdial | Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation. | Taha Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy F. Chen |
| 2020 | ACL | Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. | Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua |
| 2020 | ACL | Semantic Graphs for Generating Deep Questions. | Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan |
| 2020 | ACL | It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. | Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher |
| 2020 | CIKM | FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. | Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan |
| 2020 | COLING | Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework. | Akshay Bhola, Kishaloy Halder, Animesh Prasad, Min-Yen Kan |
| 2020 | COLING | Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. | Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin |
| 2020 | COLING | Exploring Question-Specific Rewards for Generating Deep Questions. | Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng |
| 2020 | DocEng | ServiceMarq: Extracting Service Contributions from Call for Papers. | Shi Tian, Abhinav Ramesh Kashyap, Min-Yen Kan |
| 2020 | EMNLP | SciWING- A Software Toolkit for Scientific Document Processing. | Abhinav Ramesh Kashyap, Min-Yen Kan |
| 2020 | EMNLP | Re-examining the Role of Schema Linking in Text-to-SQL. | Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua |
| 2020 | EMNLP | Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. | Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan |
| 2020 | WSDM | Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. | Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua |
| 2019 | NAACL | Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. | Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama |
| 2019 | NAACL | Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction. | Animesh Prasad, Min-Yen Kan |
| 2019 | SIGIR | Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). | Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan |
| 2019 | SIGIR | Overview and Results: CL-SciSumm Shared Task 2019. | Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan |
| 2018 | AAAI | 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, Min-Yen Kan |
| 2018 | ACL | Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. | Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin |
| 2018 | COLING | Identifying Emergent Research Trends by Key Authors and Phrases. | Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama |
| 2018 | WWW | Cold Start Thread Recommendation as Extreme Multi-label Classification. | Kishaloy Halder, Lahari Poddar, Min-Yen Kan |
| 2018 | SIGIR | The CL-SciSumm Shared Task 2018: Results and Key Insights. | Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan |
| 2017 | AAAI | Using Discourse Signals for Robust Instructor Intervention Prediction. | Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman |
| 2017 | CIKM | Health Forum Thread Recommendation Using an Interest Aware Topic Model. | Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama |
| 2017 | IJCAI | SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition. | Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, Min-Yen Kan |
| 2017 | SIGIR | The CL-SciSumm Shared Task 2017: Results and Key Insights. | Kokil Jaidka, Muthu Kumar Chandrasekaran, Devanshu Jain, Min-Yen Kan |
| 2016 | SIGIR | Linking Organizational Social Network Profiles. | Jerome Cheng, Kazunari Sugiyama, Min-Yen Kan |
| 2016 | SIGIR | Fast Matrix Factorization for Online Recommendation with Implicit Feedback. | Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua |
| 2015 | AAAI | VELDA: Relating an Image Tweet's Text and Images. | Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan, Dongyuan Lu |
| 2015 | CIKM | TriRank: Review-aware Explainable Recommendation by Modeling Aspects. | Xiangnan He, Tao Chen, Min-Yen Kan, Xiao Chen |
| 2015 | EDM | Learning Instructor Intervention from MOOC Forums: Early Results and Issues. | Muthu Kumar Chandrasekaran, Min-Yen Kan, Bernard C. Y. Tan, Kiruthika Ragupathi |
| 2015 | ICIS | Towards Feasible Instructor Intervention in MOOC discussion forums. | Muthu Kumar Chandrasekaran, Kiruthika Ragupathi, Min-Yen Kan, Bernard C. Y. Tan |
| 2014 | ACL | Exploiting Timelines to Enhance Multi-document Summarization. | Jun-Ping Ng, Yan Chen, Min-Yen Kan, Zhoujun Li |
| 2014 | Interspeech | Opportunities for multimedia analysis in scholarly digital libraries. | Min-Yen Kan |
| 2014 | WWW | Comment-based multi-view clustering of web 2.0 items. | Xiangnan He, Min-Yen Kan, Peichu Xie, Xiao Chen |
| 2014 | SIGIR | Predicting the popularity of web 2.0 items based on user comments. | Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama |
| 2014 | SIGIR | New and improved: modeling versions to improve app recommendation. | Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua |
| 2013 | ACL | Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation. | Aobo Wang, Min-Yen Kan |
| 2013 | EMNLP | Mining Scientific Terms and their Definitions: A Study of the ACL Anthology. | Yiping Jin, Min-Yen Kan, Jun-Ping Ng, Xiangnan He |
| 2013 | EMNLP | Exploiting Discourse Analysis for Article-Wide Temporal Classification. | Jun-Ping Ng, Min-Yen Kan, Ziheng Lin, Vanessa Wei Feng, Bin Chen, Jian Su, Chew Lim Tan |
| 2013 | IJCNLP | Chinese Informal Word Normalization: an Experimental Study. | Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi, Kai Ishikawa |
| 2013 | SIGIR | Addressing cold-start in app recommendation: latent user models constructed from twitter followers. | Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua |
| 2012 | ACL | Integrating User-Generated Content in the ACL Anthology. | Praveen Bysani, Min-Yen Kan |
| 2012 | ACL | Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation. | Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan |
| 2012 | AMIA | Exploiting Classification Correlations for the Extraction of Evidence-based Practice Information. | Jin Zhao, Praveen Bysani, Min-Yen Kan |
| 2012 | COLING | Exploiting Category-Specific Information for Multi-Document Summarization. | Jun-Ping Ng, Praveen Bysani, Ziheng Lin, Min-Yen Kan, Chew Lim Tan |
| 2012 | COLING | Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations. | Jun-Ping Ng, Min-Yen Kan |
| 2012 | ITiCSE | Instructor-centric source code plagiarism detection and plagiarism corpus. | Jonathan Y. H. Poon, Kazunari Sugiyama, Yee Fan Tan, Min-Yen Kan |
| 2011 | ACL | Automatically Evaluating Text Coherence Using Discourse Relations. | Ziheng Lin, Hwee Tou Ng, Min-Yen Kan |
| 2010 | COLING | Towards Automated Related Work Summarization. | Vu Cong Duy Hoang, Min-Yen Kan |
| 2010 | COLING | Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction. | Su Nam Kim, Timothy Baldwin, Min-Yen Kan |
| 2010 | COLING | Enhancing Morphological Alignment for Translating Highly Inflected Languages. | Minh-Thang Luong, Min-Yen Kan |
| 2010 | EMNLP | A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. | Minh-Thang Luong, Preslav Nakov, Min-Yen Kan |
| 2009 | ACL | Topological Ordering of Function Words in Hierarchical Phrase-based Translation. | Hendra Setiawan, Min-Yen Kan, Haizhou Li, Philip Resnik |
| 2009 | EMNLP | Recognizing Implicit Discourse Relations in the Penn Discourse Treebank. | Ziheng Lin, Min-Yen Kan, Hwee Tou Ng |
| 2008 | IJCNLP | Modeling Context in Scenario Template Creation. | Long Qiu, Min-Yen Kan, Tat-Seng Chua |
| 2008 | LREC | The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics. | 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 |
| 2008 | LREC | ParsCit: an Open-source CRF Reference String Parsing Package. | Isaac G. Councill, C. Lee Giles, Min-Yen Kan |
| 2007 | ACL | Ordering Phrases with Function Words. | Hendra Setiawan, Min-Yen Kan, Haizhou Li |
| 2006 | EMNLP | Paraphrase Recognition via Dissimilarity Significance Classification. | Long Qiu, Min-Yen Kan, Tat-Seng Chua |
| 2005 | CIKM | Fast webpage classification using URL features. | Min-Yen Kan, Hoang Oanh Nguyen Thi |
| 2005 | SIGIR | Generic soft pattern models for definitional question answering. | Hang Cui, Min-Yen Kan, Tat-Seng Chua |
| 2005 | SIGIR | Question answering passage retrieval using dependency relations. | Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Seng Chua |
| 2005 | SIGIR | Dependency relation matching for answer selection. | Renxu Sun, Hang Cui, Keya Li, Min-Yen Kan, Tat-Seng Chua |
| 2004 | LREC | A Public Reference Implementation of the RAP Anaphora Resolution Algorithm. | Long Qiu, Min-Yen Kan, Tat-Seng Chua |
| 2004 | WWW | Unsupervised learning of soft patterns for generating definitions from online news. | Hang Cui, Min-Yen Kan, Tat-Seng Chua |
| 2004 | WWW | Web page classification without the web page. | Min-Yen Kan |
| 2003 | WWW | Employing Natural Language Summarization and Automated Layout for Effective Presentation and Navigation of Information Retrieval Results. | Simon Lok, Min-Yen Kan |
| 2002 | AMIA | Usability evaluation of an experimental text summarization system and three search engines: implications for the reengineering of health care interfaces. | Andre Kushniruk, Min-Yen Kan, Kathleen R. McKeown, Judith Klavans, Desmond A. Jordan, Mark Laflamme, Vimla L. Patel |
| 2002 | INLG | Corpus-trained Text Generation for Summarization. | Min-Yen Kan, Kathleen R. McKeown |
| 2002 | LREC | Using the Annotated Bibliography as a Resource for Indicative Summarization. | Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown |
| 1998 | ACL | Role of Verbs in Document Analysis. | Judith Klavans, Min-Yen Kan |
| 1998 | LREC | Resources for evaluation of summarization techniques. | Judith L. Klavans, Katlleen McKeown, Min-Yen Kan, Susan Lee |