| Description: | Topic Detection and Tracking (TDT) research has produced some successful statistical tracking systems. While lexical chaining, a non-statistical approach, has also been applied to the task of tracking by Carthy and Stokes for the 2001 TDT evaluation, an efficient tracking system based on this technology has yet to be developed. In thesis we investigate two new techniques which can improve Carthy's original design. First, at the core of our system is a semantic domain chainer. This chainer relies not only on the WordNet database for semantic relationships but also on Magnini's semantic domain database, which is an extension of WordNet. The domain-chaining algorithm is a linear algorithm. Second, to handle proper nouns, we gather all of the ones that occur in a news story together in a chain reserved for proper nouns. In this thesis we also discuss the linguistic limitations of lexical chainers to represent textual meaning. |
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| Creator(s): | Yang, Li |
| Creation Date: | August 2003 |
| Partner(s): |
UNT Libraries
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| Collection(s): |
UNT Theses and Dissertations
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| Usage: |
Total Uses: 67
Past 30 days: 0
Yesterday: 0
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| Publisher Info: |
Publisher Name: University of North Texas
Place of Publication: Denton, Texas
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| Original Creation Date: | August 2003 | |
| Description: | Topic Detection and Tracking (TDT) research has produced some successful statistical tracking systems. While lexical chaining, a non-statistical approach, has also been applied to the task of tracking by Carthy and Stokes for the 2001 TDT evaluation, an efficient tracking system based on this technology has yet to be developed. In thesis we investigate two new techniques which can improve Carthy's original design. First, at the core of our system is a semantic domain chainer. This chainer relies not only on the WordNet database for semantic relationships but also on Magnini's semantic domain database, which is an extension of WordNet. The domain-chaining algorithm is a linear algorithm. Second, to handle proper nouns, we gather all of the ones that occur in a news story together in a chain reserved for proper nouns. In this thesis we also discuss the linguistic limitations of lexical chainers to represent textual meaning. |
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| Degree: |
Name:
Master of Arts
Level:
Master's
Discipline:
Linguistics
Department:
Department of English
Grantor:
University of North Texas
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| Keyword(s): | Topic tracking | lexical chain | domain chain | chaining process | |
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| Partner: |
UNT Libraries
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| Collection: |
UNT Theses and Dissertations
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| Resource Type: | Thesis or Dissertation | |
| Format: | Text | |
| Rights: |
Access:
Public
License:
Copyright
Holder:
Yang, Li
Statement:
Copyright is held by the author, unless otherwise noted. All rights reserved.
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