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Using semantic resources to improve a syntactic dependency parser


Schneider, Gerold (2012). Using semantic resources to improve a syntactic dependency parser. In: LREC 2012 Conference Workshop "Semantic Relations II", Istanbul, Turkey, 22 May 2012 - 22 May 2012, 67-76.

Abstract

Probabilistic syntactic parsing has made rapid progress, but is reaching a performance ceiling. More semantic resources need to be included. We exploit a number of semantic resources to improve parsing accuracy of a dependency parser. We compare semantic lexica on this task, then we extend the back-off chain by punishing underspecified decisions. Further, a simple distributional semantics approach is tested. Selectional restrictions are employed to boost interpretations that are semantically plausible. We also show that self-training can improve parsing even without needing a re-ranker, as we can rely on a sufficiently good estimation of parsing accuracy. Parsing large amounts of data and using it in self-training allows us to learn world knowledge from the distribution of syntactic relation. We show that the performance of the parser considerably improves due to our extensions.

Abstract

Probabilistic syntactic parsing has made rapid progress, but is reaching a performance ceiling. More semantic resources need to be included. We exploit a number of semantic resources to improve parsing accuracy of a dependency parser. We compare semantic lexica on this task, then we extend the back-off chain by punishing underspecified decisions. Further, a simple distributional semantics approach is tested. Selectional restrictions are employed to boost interpretations that are semantically plausible. We also show that self-training can improve parsing even without needing a re-ranker, as we can rely on a sufficiently good estimation of parsing accuracy. Parsing large amounts of data and using it in self-training allows us to learn world knowledge from the distribution of syntactic relation. We show that the performance of the parser considerably improves due to our extensions.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > English Department
06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
820 English & Old English literatures
410 Linguistics
Uncontrolled Keywords:Exploitation of semantic resources for NLP applications Syntactic parsing WordNet and WordNet-like resources Self-training Distributional semantics
Language:English
Event End Date:22 May 2012
Deposited On:19 Jul 2012 06:54
Last Modified:11 May 2016 07:49
Official URL:http://www.lrec-conf.org/proceedings/lrec2012/workshops/10.Semantic%20Relations%20II%20Proceedings.pdf

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