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ACL
2006
14 years 11 months ago
A Term Recognition Approach to Acronym Recognition
We present a term recognition approach to extract acronyms and their definitions from a large text collection. Parenthetical expressions appearing in a text collection are identif...
Naoaki Okazaki, Sophia Ananiadou
93
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COLING
2010
14 years 4 months ago
Opinion Summarization with Integer Linear Programming Formulation for Sentence Extraction and Ordering
In this paper we propose a novel algorithm for opinion summarization that takes account of content and coherence, simultaneously. We consider a summary as a sequence of sentences ...
Hitoshi Nishikawa, Takaaki Hasegawa, Yoshihiro Mat...
SIGIR
2003
ACM
15 years 2 months ago
A maximal figure-of-merit learning approach to text categorization
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 2 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 7 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong