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ACL
1998
15 years 7 days ago
Automatic Retrieval and Clustering of Similar Words
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
Dekang Lin
122
Voted
AIRS
2004
Springer
15 years 4 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
ICDAR
2003
IEEE
15 years 4 months ago
Indexing and retrieval of words in old documents
This paper describes a system for efficient indexing and retrieval of words in collections of document images. The proposed method is based on two main principles: unsupervised pr...
Simone Marinai, Emanuele Marino, Giovanni Soda
SEMCO
2007
IEEE
15 years 5 months ago
Clustering Using Feature Domain Similarity to Discover Word Senses for Adjectives
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
Noriko Tomuro, Steven L. Lytinen, Kyoko Kanzaki, H...
LREC
2008
111views Education» more  LREC 2008»
15 years 9 days ago
Modelling Word Similarity: an Evaluation of Automatic Synonymy Extraction Algorithms
Vector-based models of lexical semantics retrieve semantically related words automatically from large corpora by exploiting the property that words with a similar meaning tend to ...
Kris Heylen, Yves Peirsman, Dirk Geeraerts, Dirk S...