EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text

Delli Bovi, Claudio, Camacho Collados, Jose ORCID: https://orcid.org/0000-0003-1618-7239, 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

Full text not available from this repository.

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:	Schools > Computer Science & Informatics
Publisher:	The Association for Computational Linguistics
ISBN:	978-1-945626-76-0
Last Modified:	24 Oct 2022 07:04
URI:	https://orca.cardiff.ac.uk/id/eprint/114044

Citation Data

Cited 29 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item