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- affiliation: National University of Singapore (NUS)
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2020 – today
- 2022
[j26]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)- [c153]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 - [c152]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 - [c151]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 - [c150]Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan:
Interpreting the Robustness of Neural NLP Models to Textual Perturbations. ACL (Findings) 2022: 3993-4007 - [i49]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) - [i48]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) - [i47]Saurabh Jain, Yisong Miao, Min-Yen Kan:
Comparative Snippet Generation. CoRR abs/2206.05473 (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]