Min-Yen Kan

National University of Singapore
0000-0001-8507-3716
http://www.comp.nus.edu.sg/~kanmy
Publications227
h-index47
Citations8,261
Highly Influential Citations792
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  • Publications
  • Influence
Top 100 relevant results, sorted by most influential
Recognizing Implicit Discourse Relations in the Penn Discourse Treebank
tl;dr
We present an implicit discourse relation classifier in the Penn Discourse Treebank (PDTB). Expand
  • 240
  • 58
SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles
tl;dr
This paper describes Task 5 of the Workshop on Semantic Evaluation 2010 (SemEval-2010). Expand
  • 284
  • 57
A PDTB-styled end-to-end discourse parser
tl;dr
We have developed an end-to-end discourse parser that can parse any unrestricted text into its discourse structure in the PDTB style. Expand
  • 261
  • 48
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
tl;dr
This paper contributes improvements on both the effectiveness and efficiency of Matrix Factorization (MF) methods for implicit feedback. Expand
  • 431
  • 43
TriRank: Review-aware Explainable Recommendation by Modeling Aspects
tl;dr
We explore the rich evidence source of aspects in user reviews to improve top-N recommendation. Expand
  • 209
  • 41
ParsCit: an Open-source CRF Reference String Parsing Package
tl;dr
We describe ParsCit, a freely available, open-source implementation of a reference string parsing package. Expand
  • 315
  • 36
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
This is a post-print of a paper from Sixth International Conference on Language Resources and Evaluation 2008 http://www.lrec-conf.org/lrec2008/
  • 228
  • 31
Fast webpage classification using URL features
tl;dr
We demonstrate the usefulness of the uniform resource locator (URL) alone in performing web page classification, as the pages do not have to be fetched and analyzed. Expand
  • 225
  • 29
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures
tl;dr
We propose a novel, holistic, extendable framework based on a single sequence-to-sequence (seq2seq) model which can be optimized with supervised or reinforcement learning. Expand
  • 93
  • 27
Keyphrase Extraction in Scientific Publications
We present a keyphrase extraction algorithm for scientific publications. Different from previous work, we introduce features that capture the positions of phrases in document with respect to logical… Expand
  • 243
  • 23