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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
- 2025
[j31]Kokil Jaidka
, Tsuhan Chen, Simon Chesterman, Wynne Hsu, Min-Yen Kan, Mohan S. Kankanhalli, Mong-Li Lee, Gyula Seres, Terence Sim, Araz Taeihagh, Anthony Kum Hoe Tung, Xiaokui Xiao, Audrey Yue:
Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. Digit. Gov. Res. Pract. 6(1): 11:1-11:15 (2025)- [j30]Xichu Ma, Varun Sharma, Min-Yen Kan, Wee Sun Lee, Ye Wang:
KeYric: Unsupervised Keywords Extraction and Expansion from Music for Coherent Lyrics Generation. ACM Trans. Multim. Comput. Commun. Appl. 21(1): 28:1-28:28 (2025) - [c198]Minzhi Li, Zhengyuan Liu, Shumin Deng, Shafiq Joty, Nancy F. Chen, Min-Yen Kan:
DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation. COLING 2025: 2277-2290 - [c197]Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen:
Aligning Large Language Models with Human Opinions through Persona Selection and Value-Belief-Norm Reasoning. COLING 2025: 2526-2547 - [c196]Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li:
ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems. NAACL (Findings) 2025: 295-312 - [c195]Do Xuan Long, Ngoc-Hai Nguyen, 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. NAACL (Long Papers) 2025: 299-330 - [c194]Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan:
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. NAACL (Findings) 2025: 4323-4339 - [i97]Joeran Beel, Min-Yen Kan, Moritz Baumgart:
Evaluating Sakana's AI Scientist for Autonomous Research: Wishful Thinking or an Emerging Reality Towards 'Artificial Research Intelligence' (ARI)? CoRR abs/2502.14297 (2025) - [i96]Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, Min-Yen Kan:
SkyLadder: Better and Faster Pretraining via Context Window Scheduling. CoRR abs/2503.15450 (2025) - [i95]Yixin Cao, Shibo Hong, Xinze Li, Jiahao Ying, Yubo Ma, Haiyuan Liang, Yantao Liu, Zijun Yao, Xiaozhi Wang, Dan Huang, Wenxuan Zhang, Lifu Huang, Muhao Chen, Lei Hou, Qianru Sun, Xingjun Ma, Zuxuan Wu, Min-Yen Kan, David Lo, Qi Zhang, Heng Ji, Jing Jiang, Juanzi Li, Aixin Sun, Xuanjing Huang, Tat-Seng Chua, Yu-Gang Jiang:
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. CoRR abs/2504.18838 (2025) - 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] - [i94]Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan:
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. CoRR abs/2401.07257 (2024) - [i93]Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank:
NNOSE: Nearest Neighbor Occupational Skill Extraction. CoRR abs/2401.17092 (2024) - [i92]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) - [i91]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) - [i90]Zekai Li, Yanxia Qin, Qian Liu, Min-Yen Kan:
ISQA: Informative Factuality Feedback for Scientific Summarization. CoRR abs/2404.13246 (2024) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]Xuan Long Do, Ngoc-Hai Nguyen, 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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]Yajing Yang, Qian Liu, Min-Yen Kan:
DataTales: A Benchmark for Real-World Intelligent Data Narration. CoRR abs/2410.17859 (2024) - [i78]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) - [i77]Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan:
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization. CoRR abs/2411.02712 (2024) - [i76]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. CoRR abs/2411.05345 (2024) - [i75]Xiao Xu, Tianhao Niu, Yuxi Xie, Libo Qin, Wanxiang Che, Min-Yen Kan:
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models. CoRR abs/2412.05939 (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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