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Fast, deep-linguistic statistical minimalist dependency parsing


Schneider, G; Rinaldi, Fabio; Dowdall, J (2004). Fast, deep-linguistic statistical minimalist dependency parsing. In: COLING-2004 Recent Advances in Dependency Grammars, Geneva, Switzerland, 2004 - 2004, 33-40.

Abstract

We present and evaluate an implemented statistical minimal parsing strategy exploiting DG charateristics to permit fast, robust, deeplinguistic analysis of unrestricted text, and compare its probability model to (Collins, 1999) and an adaptation, (Dubey and Keller, 2003). We show that DG allows for the expression of the majority of English LDDs in a context-free way and offers simple yet powerful statistical models.

Abstract

We present and evaluate an implemented statistical minimal parsing strategy exploiting DG charateristics to permit fast, robust, deeplinguistic analysis of unrestricted text, and compare its probability model to (Collins, 1999) and an adaptation, (Dubey and Keller, 2003). We show that DG allows for the expression of the majority of English LDDs in a context-free way and offers simple yet powerful statistical models.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:410 Linguistics
000 Computer science, knowledge & systems
Language:English
Event End Date:2004
Deposited On:06 Aug 2009 12:22
Last Modified:04 Aug 2018 05:29
OA Status:Closed

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