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To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity

Meyer, Christian M. and Gurevych, Iryna (2012):
To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity.
In: Proceedings of the 24th International Conference on Computational Linguistics (COLING), Mumbai, India, 4, [Online-Edition: http://aclweb.org/anthology/C12-1108],
[Conference or Workshop Item]

Abstract

We construct a new multilingual lexical resource from Wiktionary by disambiguating semantic relations and translations. For this task, we propose and evaluate an automatic disambiguation method that outperforms previous approaches significantly. We additionally introduce a method for inferring new semantic relations based on the disambiguated translations. Our resource fills the gap between expert-built resources suffering from high cost and small size and Wikipedia-based resources that are restricted to encyclopedic knowledge about nouns. We demonstrate this by applying our new resource to measuring monolingual and cross-lingual verb similarity. For the latter, our resource yields better results than Wikipedia and expert-built multilingual wordnets. We make our final resource and the evaluation datasets publicly available.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Meyer, Christian M. and Gurevych, Iryna
Title: To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity
Language: English
Abstract:

We construct a new multilingual lexical resource from Wiktionary by disambiguating semantic relations and translations. For this task, we propose and evaluate an automatic disambiguation method that outperforms previous approaches significantly. We additionally introduce a method for inferring new semantic relations based on the disambiguated translations. Our resource fills the gap between expert-built resources suffering from high cost and small size and Wikipedia-based resources that are restricted to encyclopedic knowledge about nouns. We demonstrate this by applying our new resource to measuring monolingual and cross-lingual verb similarity. For the latter, our resource yields better results than Wikipedia and expert-built multilingual wordnets. We make our final resource and the evaluation datasets publicly available.

Title of Book: Proceedings of the 24th International Conference on Computational Linguistics (COLING)
Volume: 4
Uncontrolled Keywords: UKP_p_EduWeb;UKP_a_NLP4Wikis;reviewed
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Mumbai, India
Date Deposited: 31 Dec 2016 14:29
Official URL: http://aclweb.org/anthology/C12-1108
Identification Number: TUD-CS-2012-0224
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