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ACL
2006
15 years 2 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
COLING
2010
14 years 8 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 6 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 5 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 11 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