Article | Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania | Improving Verb Phrase Extraction from Historical Text by use of Verb Valency Frames
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Title:
Improving Verb Phrase Extraction from Historical Text by use of Verb Valency Frames
Author:
Eva Pettersson: Department of Linguistics and Philology, Uppsala University, Sweden Joakim Nivre: Department of Linguistics and Philology, Uppsala University, Sweden
Download:
Full text (pdf)
Year:
2015
Conference:
Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania
Issue:
109
Article no.:
020
Pages:
153-161
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2015-05-06
ISBN:
978-91-7519-098-3
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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In this paper we explore the idea of using verb valency information to improve verb phrase extraction from historical text. As a case study, we perform experiments on Early Modern Swedish data, but the approach could easily be transferred to other languages and/or time periods as well. We show that by using verb valency information in a post-processing step to the verb phrase extraction system, it is possible to remove improbable complements extracted by the parser and insert probable complements not extracted by the parser, leading to an increase in both precision and recall for the extracted complements.

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Eva Pettersson, Joakim Nivre
Title:
Improving Verb Phrase Extraction from Historical Text by use of Verb Valency Frames
References:

Maria √Ögren, Rosemarie Fiebranz, Erik Lindberg, and Jonas Lindstr√∂m. 2011. Making verbs count. The research project ‚ÄôGender and Work‚Äô and its methodology. Scandinavian Economic History Review, 59(3):271‚Äď291. Forthcoming.


Alistair Baron and Paul Rayson. 2008. Vard2: A tool for dealing with spelling variation in historical corpora. In Postgraduate Conference in Corpus Linguistics, Aston University, Birmingham.


Lars Borin, Markus Forsberg, and Lennart Lönngren. 2008. Saldo 1.0 (svenskt associationslexikon version 2). Språkbanken, University of Gothenburg.


Eva Ejerhed and Gunnel K¬®allgren. 1997. Stockholm Ume¬įa Corpus. Version 1.0. Produced by Department of Linguistics, Ume¬įa University and Department of Linguistics, Stockholm University. ISBN 91-7191-348-3.


P√©ter Hal√°csy, Andr√°s Kornai, and Csaba Oravecz. 2007. HunPos - an open source trigram tagger. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, pages 209‚Äď212, Prague, Czech Republic.


MiloŇ° Jakubicek and Vojtech Kov√°r. 2013. Enhancing czech parsing with verb valency frames. In CICLing 2013, pages 282‚Äď293, Greece. Springer Verlag.


Joakim Nivre, Johan Hall, and Jens Nilsson. 2006a. MaltParser: A data-driven parser-generator for dependency parsing. In Proceedings of the 5th international conference on Language Resources and Evaluation (LREC), pages 2216‚Äď2219, Genoa, Italy, May.


Joakim Nivre, Jens Nilsson, and Johan Hall. 2006b. Talbanken05: A Swedish treebank with phrase structure and dependency annotation. In Proceedings of the 5th international conference on Language Resources and Evaluation (LREC), pages 24‚Äď26, Genoa, Italy, May.


Lilja √ėvrelid and Joakim Nivre. 2007. When word order and part-of-speech tags are not enough ‚Äď Swedish dependency parsing with rich linguistic features. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), pages 447‚Äď451.


Eva Pettersson, Be¬īata Megyesi, and Joakim Nivre. 2012. Parsing the Past - Identification of Verb Constructions in Historical Text. In Proceedings of the 6th EACL Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pages 65‚Äď74, Avignon, France, April. Association for Computational Linguistics.


Eva Pettersson, Be√°ta Megyesi, and Joakim Nivre. 2013. An SMT approach to automatic annotation of historical text. In Proceedings of the Workshop on Computational Historical Linguistics at NODALIDA. NEALT Proceedings Series 18; Link√∂ping Electronic Conference Proceedings., volume 87, pages 54‚Äď69.



Cristina S√°nchez-Marco, Gemma Boleda, and Lluiis Padr√≥. 2011. Extending the tool, or how to annotate historical language varieties. In Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pages 1‚Äď9, Portland, OR, USA, June. Association for Computational Linguistics.


Gerold Schneider. 2012. Adapting a parser to Historical English. In Outpost of Historical Corpus Linguistics: From the Helsinki Corpus to a Proliferation of Resources.

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Eva Pettersson, Joakim Nivre
Title:
Improving Verb Phrase Extraction from Historical Text by use of Verb Valency Frames
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