Vancouver Welcomes You! Minimalist Location Metonymy Resolution
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Journal Title
Association for Computational Linguistics
Language
Eng
Type
Article
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AM
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Gritta, M., Pilehvar, M., Limsopatham, N., & Collier, N. (2017). Vancouver Welcomes You! Minimalist Location Metonymy Resolution. Association for Computational Linguistics https://doi.org/10.18653/v1/P17-1115
Abstract
Named entities are frequently used in a metonymic manner. They serve as references to related entities such as people and organisations. Accurate identification and interpretation of metonymy can be directly beneficial to various NLP applications, such as Named Entity Recognition and Geographical Parsing. Until now, metonymy resolution (MR) methods mainly relied on parsers, taggers, dictionaries, external word lists and other handcrafted lexical resources. We show how a minimalist neural approach combined with a novel predicate window method can achieve state-of-the-art results on the SemEval 2007 task on Metonymy Resolution. Additionally, we contribute with a new Wikipedia-based MR dataset called RelocaR, which is tailored towards locations as well as improving previous deficiencies in annotation guidelines.
Sponsorship
EPSRC (EP/M005089/1)
NERC (via Cranfield University) (NE/M009009/1)
MEDICAL RESEARCH COUNCIL (MR/M025160/1)
NERC (1649558)
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External DOI: https://doi.org/10.18653/v1/P17-1115
This record's URL: https://www.repository.cam.ac.uk/handle/1810/266911
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http://www.rioxx.net/licenses/all-rights-reserved
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