Abstract
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases(grammars). We focused on syntax, esp. noun phrase (NP) syntax.
Original language | English |
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Title of host publication | Proceedings of CoNLL-2001: the fifth workshop on computational language learning |
Place of Publication | Toulouse, France |
Pages | 0-0 |
Number of pages | 1 |
Publication status | Published - 1 Jan 2001 |
Event | Proceedings of CoNLL-2001: the fifth workshop on computational language learning - Toulouse, France Duration: 1 Jan 2001 → … |
Workshop
Workshop | Proceedings of CoNLL-2001: the fifth workshop on computational language learning |
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Period | 1/01/01 → … |
Bibliographical note
© 2001 Association for Computational LinguisticsKeywords
- Computational grammars