Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-63507
Schneider, G (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.
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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|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
|Uncontrolled Keywords:||Exploitation of semantic resources for NLP applications Syntactic parsing WordNet and WordNet-like resources Self-training Distributional semantics|
|Event End Date:||22 May 2012|
|Deposited On:||19 Jul 2012 06:54|
|Last Modified:||05 Apr 2016 15:53|
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