Article | Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden | Replacing OOV Words For Dependency Parsing With Distributional Semantics
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Title:
Replacing OOV Words For Dependency Parsing With Distributional Semantics
Author:
Prasanth Kolachina: Department of Computer Science and Engineering, University of Gothenburg, Sweden Martin Riedl: Language Technology Group, Universit¨at Hamburg, Germany Chris Biemann: Language Technology Group, Universit¨at Hamburg, Germany
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Full text (pdf)
Year:
2017
Conference:
Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Issue:
131
Article no.:
002
Pages:
11-20
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2017-05-08
ISBN:
978-91-7685-601-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Lexical information is an important feature in syntactic processing like part-ofspeech (POS) tagging and dependency parsing. However, there is no such information available for out-of-vocabulary (OOV) words, which causes many classification errors. We propose to replace OOV words with in-vocabulary words that are semantically similar according to distributional similar words computed from a large background corpus, as well as morphologically similar according to common suffixes. We show performance differences both for count-based and dense neural vector-based semantic models. Further, we discuss the interplay of POS and lexical information for dependency parsing and provide a detailed analysis and a discussion of results: while we observe significant improvements for count-based methods, neural vectors do not increase the overall accuracy.

Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Prasanth Kolachina, Martin Riedl, Chris Biemann
Title:
Replacing OOV Words For Dependency Parsing With Distributional Semantics
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Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Prasanth Kolachina, Martin Riedl, Chris Biemann
Title:
Replacing OOV Words For Dependency Parsing With Distributional Semantics
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Last updated: 2017-02-21