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EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text

Delli Bovi, Claudio, Camacho Collados, Jose, Raganato, Alessandro and Navigli, Roberto 2017. EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text. Presented at: The 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 30th July - 4th August 2017. Proceedings of the the 55th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA: The Association for Computational Linguistics, pp. 594-600. 10.18653/v1/P17-2094

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Abstract

Parallel corpora are widely used in a variety of Natural Language Processing tasks, from Machine Translation to cross-lingual Word Sense Disambiguation, where parallel sentences can be exploited to automatically generate high-quality sense annotations on a large scale. In this paper we present EUROSENSE, a multilingual sense-annotated resource based on the joint disambiguation of the Europarl parallel corpus, with almost 123 million sense annotations for over 155 thousand distinct concepts and entities from a languageindependent unified sense inventory. We evaluate the quality of our sense annotations intrinsically and extrinsically, showing their effectiveness as training data for Word Sense Disambiguation.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: The Association for Computational Linguistics
ISBN: 978-1-945626-76-0
Last Modified: 14 Aug 2019 13:46
URI: http://orca.cf.ac.uk/id/eprint/114044

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