Exploiting Agreement and Disagreement of Human Annotators for Word Sense Disambiguation

Description:

This paper discusses word sense disambiguation.

Creator(s):
Creation Date: September 2003
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 132
Past 30 days: 7
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Creator (Author):
Chklovski, Timothy A. (Timothy Anatolievich), 1977-

University of Southern California

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Date(s):
  • Creation: September 2003
Description:

This paper discusses word sense disambiguation.

Degree:
Note:

Abstract: It is generally agreed that the success of a Word Sense Disambiguation (WSD) system depends, in large, on having enough sense annotated data available at hand, and a well-motivated sense inventory into which the disambiguations are made. The authors report a Web-based approach to (1) constructing large sense tagged corpora by exploiting agreement of Web users who contribute word sense annotation, and (2) deriving a coarse-grained sense inventory from a fine-grained inventory by exploiting disagreements of independent contributors about word senses. The authors investigate the quantity and quality of the sense tagged data collected with this approach over the past year. The authors present and evaluate an automatic clustering algorithm able to derive sense clusters that compare well with manually constructed clusters.

Physical Description:

7 p.

Language(s):
Subject(s):
Keyword(s): word sense disambiguations | WordNet | sense tagged corpora
Source: Recent Advances in Natural Language Processing (RANLP) Conference, 2003, Borovetz, Bulgaria
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30948
Resource Type: Paper
Format: Text
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Access: Public