min yen kan scholar

Kan, M.-Y. New citations to this author. Language Resources and Evaluation, 47(2)(2013), pages 299-355. Order copies of this and other ACL proceedings from: ii Introduction In recent years, interest in scholarly publications in electronic forms has boomed, and several large-scale electronic digital libraries and citation indices are now used everyday by researchers. Chinese whispers An efficient graph clustering algorithm and its application to natural language processing problems. 173--182. PDF Restore Delete Forever. Publications All; Articles; Dataset; Others; Show/Hide filters Author 8 Kan, M.-Y. g, If you want contact administrator site clicking the follow button, Central Library To help generate relevant suggestions for researchers, recommendation systems have started to leverage the latent interests in the publication profiles of the researchers themselves. The system can't perform the operation now. Kan, M.-Y. 6th Workshop on Very Large Corpora (WVLC-98), 197-205, Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries …, Proceedings of the 49th Annual Meeting of the Association for Computational …, Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, Proceedings of the 13th international World Wide Web conference on Alternate …, Language Resources and Evaluation 47 (2), 299-335, Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries …, New articles related to this author's research, Professor of Computer Science and Director, Data Science Institute, Columbia University, University of Science and Technology of China, School of Data Science, Associate Professor, The Pennsylvania State University, Provost's Chair Professor of Computer Science, National University of Singapore, School of Computing and Information Systems, The University of Melbourne, Professor, Computer Science, Yale University, Assistant Professor, National University of Singapore, Fast matrix factorization for online recommendation with implicit feedback, ParsCit: An open-source CRF reference string parsing package, Semeval-2010 task 5: Automatic keyphrase extraction from scientific articles, A PDTB-styled end-to-end discourse parser, Fast webpage classification using URL features, Question answering passage retrieval using dependency relations, Keyphrase extraction in scientific publications, Recognizing implicit discourse relations in the Penn Discourse Treebank, Trirank: Review-aware explainable recommendation by modeling aspects, Simfinder: A flexible clustering tool for summarization, The ACL anthology reference corpus: A reference dataset for bibliographic research in computational linguistics, Scholarly paper recommendation via user's recent research interests, Addressing cold-start in app recommendation: latent user models constructed from Twitter followers, Linear segmentation and segment significance, Adaptive sorted neighborhood methods for efficient record linkage, Automatically evaluating text coherence using discourse relations, Paraphrase recognition via dissimilarity significance classification, Web page classification without the web page, Creating a live, public short message service corpus: the NUS SMS corpus, Search engine driven author disambiguation. Authors: Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan. Download PDF Abstract: Emerging research in Neural Question Generation (NQG) has started to integrate a larger variety of inputs, and generating questions requiring higher levels of cognition. KAN MIN-YEN rp05612 Collaboration Map View Statistics Email Alert RSS Feed. Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, and Kazunari Sugiyama. If you use this data, please ensure the following paper is cited. * * next > Subject 6 Digital library; 5 Information retrieval; 4 Crowdsourcing; 3 Citation analysis; 3 Collaborative filtering. Authors: Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown Download PDF Abstract: We report on a language resource consisting of 2000 annotated bibliography entries, which is being analyzed as part of our research on indicative document summarization. Corpus ID: 18691059. 1997. 1437--1447. Google H-index: 54: Number of Google Citations: 10,158: Number of Articles on DBLP: 188: External Links. 8 Min-Yen Kan; 8 Sugiyama, K. 7 Tan, Y.F.. next > Department 88 DEPT OF COMPUTER SCIENCE; 71 COMPUTER SCIENCE; 13 ASIA RESEARCH INSTITUTE; 3 INST FOR APPLN OF LEARNING SCI & ED TECH; 2 COMPUTATIONAL SCIENCE. In Proceedings of the 26th International Conference on World Wide Web (WWW '17). (2018) Proceedings of the 18th ACM/IEEE-CS Joint Conference on Digital Libraries, Fort Worth, Texas, USA.June 3-6. Email. SCHOOL OF COMPUTING . * Main Affiliation. * Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures. Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev, Dayne Freitag and Creating a Live, Public Short Message Service Corpus: The NUS SMS Corpus. Profile Other Profile Full Name ... KAN MIN-YEN. Article; Google Scholar; Biemann, C. (2006). {n. d.}. * Upload PDF. G2R Singapore Ranking 36th. Tao Chen and Min-Yen Kan (2013). Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. Generally, my research interests are Natural Language Processing and Machine Learning. News. In ACL. Research Evaluation, 10(1), 203. Nouveaux articles de cet auteur. Google Scholar; About I am currently a second-year Ph.D. student at Uninversity of Southern California, advised by Prof. Xiang Ren. The following articles are merged in Scholar. @ Follow this author . However, users may have different usernames in different social networks, making the linkage task difficult. next > Type 68 Conference Paper; 68 Conference Paper; 14 … A comparative analysis of India and other Asian countries based on science, technology and development indicators. Neural Collaborative Filtering. 233--242. Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg Anna Goldie Google Brain / Stanford Verified email at google.com Richard Socher Startup Verified email at stanford.edu Variants. Google Scholar Digital Library; Zhiwei Jin, Juan Cao, Yu-Gang Jiang, and Yongdong Zhang. Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg Jungo Kasai University of Washington Verified email at cs.washington.edu Kokil Jaidka Assistant Professor, National University of Singapore Verified email at nus.edu.sg I'm an associate professor with research interests that span digital libraries, natural language processing and information retrieval. Ajouter les coauteurs Coauteurs. Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg Lahari Poddar Amazon Verified email at amazon.com Kazunari Sugiyama Kyoto University Verified email at kyoto-u.ac.jp * FAQ About Contact • Sign In Create Free Account. k Faculty. d . Faculty. 14 Min-Yen Kan; 11 Chua, T.-S. 8 Sugiyama, K. 7 Tan, Y.F.. next > Department 71 COMPUTER SCIENCE; 16 ASIA RESEARCH INSTITUTE; 9 INST FOR APPLN OF LEARNING SCI & ED TECH; 2 COMPUTATIONAL SCIENCE; 2 COMPUTER SCIENCE. 9, 8 (1997), 1735--1780. 2018. Yen-Kan, M. Lim, M.K. Main Affiliation. 1437--1447. I have been working on continual learning and interpretation techniques of neural network predictions. Semantic Scholar's Logo. Variants. Min-Yen Kan » Overview. Search. Kan, M.Y. 2018. 2018. next > Type 78 Conference Paper; 78 … of the 6th International Conference on Language Resources and …, Proceedings of the 10th annual joint conference on Digital libraries, 29-38, Proceedings of the 36th international ACM SIGIR conference on Research and …, Proc. This corpus was collected by Tao Chen and Min-Yen Kan. Google Scholar; Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. For more details, please refer to Citation field. This "Cited by" count includes citations to the following articles in Scholar. Google Scholar Profile; Personal Website for Min-Yen Kan (靳民彦) List of Publications on DBLP. DEPT OF COMPUTER SCIENCE . Haochen Zhang, Min-Yen Kan, +1 author S. Ma; Published in AIRS 2014; Computer Science; Piecing together social signals from people in different online social networks is key for downstream analytics. SCHOOL OF COMPUTING . Check the encrypted string of this email, put the correct string in the box below and click "Go" to validate the email and claim this profile. You are currently offline. dcskmy@nus.edu.sg . Importer un PDF. 2017. Google Scholar; Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. next > Subject 6 Digital library; 5 Information retrieval; 4 Crowdsourcing; 3 Citation analysis; 3 Collaborative filtering. You have reached my academic home page. c Jiangping Chen, Marcos André Gonçalves, Jeff M. Allen, Edward A. S Bird, R Dale, BJ Dorr, B Gibson, MT Joseph, MY Kan, D Lee, B Powley, ... Proc. Google Scholar; Basu, A. u Profile Other Profile Full Name ... KAN MIN-YEN. PDF Restaurer Supprimer définitivement. Corpus ID: 18604870. Google Scholar; Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. Email. (2001). Results 1-20 of 100 (Search time: 0.006 seconds). KAN MIN-YEN rp05612 Collaboration Map View Statistics Email Alert RSS Feed. Long Short-Term Memory. New articles by this author. Fox, Min-Yen Kan and Vivien Petras (Eds.) Singapore 119275, NUS Learning Innovation Fund ll National Research Foundation, A comprehensive evaluation of scholarly paper recommendation using potential citation papers, A development framework for rapid meta-heuristics hybridization, A hybrid morpheme-word representation for machine translation of morphologically rich languages, About.Me Dataset for User-centric OSN Analysis, Adaptive sorted neighborhood methods for efficient record linkage, Addressing cold-start in app recommendation: Latent user models constructed from twitter followers, An empirical study of students' perceptions on e-learning systems, Automatic keyphrase extraction from scientific articles, Automatically evaluating text coherence using discourse relations, ChairVisE: An analytic lens for conference submission data, Cold Start Thread Recommendation as Extreme Multi-label Classification, Combining coherence models and machine translation evaluation metrics for summarization evaluation, Constructing an anonymous dataset from the personal digital photo libraries of Mac app store users, Corpus-based query expansion in online public access catalogs, Countering Position Bias in Instructor Interventions in MOOC Discussion Forums, Creating a live, public short message service corpus: The NUS SMS corpus, Customization in a unified framework for summarizing medical literature, Dataset for "Towards Automated Related Work Summarization". 2014. This paper describes the organization and results of the automatic keyphrase extraction task held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). While using such a publication citation network has been shown to enhance performance, the network is often sparse, making recommendation difficult. Google Scholar Digital Library; Xiangnan He, Hanwang Zhang, Min-Yen Kan, and Tat-Seng Chua. Min-Yen Kan (靳民彦) National University of Singapore Singapore: G2R World Ranking 2457th. Le décompte "Citée par" inclut les citations des articles suivants dans Google Scholar. s In SIGIR. Kan, M.Y. The subject of our research is textual evidence for coherence relations between clauses (aka discourse relations) and what relations they provide evidence for. Min-Yen Kan » Research My research interests fall under the areas of digital libraries, natural language processing, information retrieval, human-computer interaction. Done. Improving Search for Evidence-based Practice using Information Extraction. * Emails: The ones marked * may be different from the article in the profile. Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg Tang Jie Professor of Data Mining, Tsinghua University Verified … Email address for updates. Optimally balancing receiver and recommended users’ importance in reciprocal recommender systems. @article{Zhao2010ImprovingSF, title={Improving Search for Evidence-based Practice using Information Extraction. Some features of the site may not work correctly. Celles qui sont suivies d'un astérisque (*) peuvent être différentes de l'article dans le profil. New articles related to this author's research. Yen-Kan, M. Lim, M.K. Google Scholar Digital Library; Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. DEPT OF COMPUTER SCIENCE . Predicting the Popularity of Web 2.0 Items based on User Comments. Their, This "Cited by" count includes citations to the following articles in Scholar. Specifically, they include document structure acquisition, verb analysis, digital library resource annotation and … Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg Quanquan Gu Assistant Professor of Computer Science, UCLA Verified email at cs.ucla.edu Yue Shi Facebook Verified email at acm.org The ones marked, Proceedings of the 39th International ACM SIGIR conference on Research and …, Proceedings of the 5th International Workshop on Semantic Evaluation, 21-26, Proceedings of the 14th ACM international conference on Information and …, Proceedings of the 28th annual international ACM SIGIR conference on …, Proceedings of the 10th international conference on Asian digital libraries …, Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, Proceedings of the 24th ACM International on Conference on Information and …. V Hatzivassiloglou, JL Klavans, ML Holcombe, R Barzilay, MY Kan, ... NAACL Workshop on Automatic Summarization 1. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 12 Kent Ridge Crescent Try again later. 2018. DL; Regina Barzilay and Min-Yen Kan (Eds.) Neural Computation, Vol. Add co-authors Co-authors. Suivre les mises à jour de cet auteur . These trends point to NQG as a bellwether for NLP, about how human intelligence embodies the skills of curiosity and integration. s The keyphrase extraction task was specifically geared towards scientific articles. Google Scholar; Sepp Hochreiter and Jürgen Schmidhuber. Google Scholar Digital Library Francesco Ricci Akiva Kleinerman, Ariel Rosenfeld and Sarit Kraus. Towards Deep Conversational Recommendations. (Full list see my [Group Homepage] [Google Scholar] ) In the Year of 2021: pdf: Denoising Implicit Feedback for Recommendation Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie & Tat-Seng Chua WSDM 2021 (Full, Accept rate: 18.6%) Codes: pdf: Bias and Debias in Recommender System: A Survey and Future Directions Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang & Xiangnan He … H-Index & Metrics. * dcskmy@nus.edu.sg . Systems were automatically evaluated by matching their extracted keyphrases against those assigned by the authors as well as the readers to the same … Summarization 1 retrieval ; 4 Crowdsourcing ; 3 Collaborative filtering Evaluation, (. 2006 ) a publication Citation network has been shown to enhance performance, the network is sparse..., R Barzilay, my Kan,... NAACL Workshop on Semantic 2010! R Barzilay, my Kan, Zhaochun Ren, Xiangnan He, Hanwang Zhang, Nie... In different social networks, making the linkage task difficult in reciprocal systems! 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