Building a Sense Tagged Corpus with Open Mind Word Expert

Description:

This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.

Creator(s):
Creation Date: July 2002
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Creator (Author):
Chklovski, Timothy A. (Timothy Anatolievich), 1977-

Massachusetts Institute of Technology

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas; University of Texas at Dallas

Date(s):
  • Creation: July 2002
Description:

This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.

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Note:

Abstract: Open Mind Word Expert is an implemented active learning system for collecting word sense tagging from the general public over the Web. It is available at http://teach-computers.org. The authors expect the system to yield a large volume of high-quality training data at a much lower cost than the traditional method of hiring lexicographers. The authors thus propose a Senseval-3 lexical sample activity where the training data is collected via Open Mind Word Expert. If successful, the collection process can be extended to create the definitive corpus of word sense information.

Physical Description:

7 p.

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Subject(s):
Keyword(s): active learning systems | lexical sample | Open Mind Word Expert
Source: Association for Computational Linguistics Workshop on Word Sense Disambiguation, 2002, Philadelphia, Pennsylvania, United States
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc81389
Resource Type: Paper
Format: Text
Rights:
Access: Public