Acquiring lexical knowledge using raw corpora and unsupervised clustering method

Kinam Park, Heui Seok Lim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, we propose a computational model for automatic acquisition of lexical knowledge based on the principles of human language information processing. The proposed model assumes a hybrid model for the human lexical representation including full-list and decomposition forms. The proposed method automatically acquires lexical entries and its grammatical knowledge by unsupervised learning techniques. For the purposes of evaluating performance of the proposed method, a large-scale corpus of over 10 million lexical was used, the lexical knowledge acquisition process was tested, and the results were analyzed.

Original languageEnglish
Pages (from-to)901-910
Number of pages10
JournalCluster Computing
Volume17
Issue number3
DOIs
Publication statusPublished - 2014 Jan 1

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Unsupervised learning
Knowledge acquisition
Decomposition

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Acquiring lexical knowledge using raw corpora and unsupervised clustering method. / Park, Kinam; Lim, Heui Seok.

In: Cluster Computing, Vol. 17, No. 3, 01.01.2014, p. 901-910.

Research output: Contribution to journalArticle

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