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Pro3Gres parser in the CoNLL domain adaptation shared task


Schneider, G; Kaljurand, K; Rinaldi, Fabio; Kuhn, T (2007). Pro3Gres parser in the CoNLL domain adaptation shared task. In: ACL Conference, Workshop on Computational Natural Language Learning (CoNLL-XI) Shared Task, Prague, June 2007 - June 2007, 1161-1165.

Abstract

We present Pro3Gres, a deep-syntactic, fast dependency parser that combines a handwritten competence grammar with probabilistic performance disambiguation and that
has been used in the biomedical domain. We discuss its performance in the domain adaptation open submission. We achieve average results, which is partly due to difficulties
in mapping to the dependency representation used for the shared task.

Abstract

We present Pro3Gres, a deep-syntactic, fast dependency parser that combines a handwritten competence grammar with probabilistic performance disambiguation and that
has been used in the biomedical domain. We discuss its performance in the domain adaptation open submission. We achieve average results, which is partly due to difficulties
in mapping to the dependency representation used for the shared task.

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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:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:June 2007
Deposited On:10 Aug 2009 11:54
Last Modified:17 Aug 2017 16:11

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