Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection

Description:

Article discussing word sense disambiguation with pattern learning and automatic feature selection.

Creator(s): Mihalcea, Rada, 1974-
Creation Date: December 2002
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 72
Past 30 days: 1
Yesterday: 0
Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Publisher Info:
Publisher Name: Cambridge University Press
Place of Publication: [New York, New York]
Date(s):
  • Creation: December 2002
Description:

Article discussing word sense disambiguation with pattern learning and automatic feature selection.

Degree:
Note:

Abstract: This paper presents a novel approach for word sense disambiguation. The underlying algorithm has two main components: (1) pattern learning from available sense-tagged corpora (SemCor), from dictionary definitions (WordNet) and from a generated corpus (GenCor), and (2) instance based learning with automatic feature selection, when training data is available for a particular word. The ideas described in this paper were implemented in a system that achieved the best score during the SENSEVAL-2 evaluation exercise, for both English all words and English lexical sample tasks.

Physical Description:

15 p.

Language(s):
Subject(s):
Keyword(s): word sense disambiguation | sense tagged corpora | generated corpus | automatic feature selection
Source: Journal of Natural Science and Engineering, 2002. New York: Cambridge University Press, pp. 1-15.
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30945
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: Journal of Natural Language Engineering
Volume: 8
Issue: 4
Page Start: 1
Page End: 15
Peer Reviewed: Yes