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AI Approaches to Statistical Language Models
- Source :
- DTIC AND NTIS
- Publication Year :
- 2000
-
Abstract
- We have made a number of advances under this grant. We have created what is currently the most accurate parser for parsing into Penn-tree-bank-style trees; a program that identifies the antecedents of pronouns with 85% accuracy; a program that assigns function tags to parse text with 85% accuracy; a program that assigns referents to full noun phrases with 65% accuracy; very efficient parsers that explore very few constituents that do not appear in the final parse; and programs that discover semantic information about words from unlabeled text. Furthermore, all these programs work by statistical means.
Details
- Database :
- OAIster
- Journal :
- DTIC AND NTIS
- Notes :
- text/html, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.ocn831695405
- Document Type :
- Electronic Resource