Word sense induction using independent component analysis

Petr Šimon, Jia Fei Hong

研究成果: 會議貢獻類型會議論文同行評審

摘要

This paper explores the possibilities of using independent component analysis (ICA) for features extraction that could be applied to word sense induction. Two different methods for using the features derived by ICA are introduced and results evaluated. Our goal in this paper is to observe whether ICA based feature vectors can be efficiently used for word context encoding and subsequently for clustering. We show that it is possible, further research is, however, necessary to ascertain more reliable results.

原文英語
出版狀態已發佈 - 2007
事件19th Conference on Computational Linguistics and Speech Processing, ROCLING 2007 - Taipei, 臺灣
持續時間: 2007 九月 62007 九月 7

其他

其他19th Conference on Computational Linguistics and Speech Processing, ROCLING 2007
國家臺灣
城市Taipei
期間2007/09/062007/09/07

ASJC Scopus subject areas

  • Language and Linguistics
  • Speech and Hearing

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