SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli
Abstract
Current research in knowledge-based Word Sense Disambiguation (WSD) indicates that performances depend heavily on the Lexical Knowledge Base (LKB) employed. This paper introduces SyntagNet, a novel resource consisting of manually disambiguated lexical-semantic combinations. By capturing sense distinctions evoked by syntagmatic relations, SyntagNet enables knowledge-based WSD systems to establish a new state of the art which challenges the hitherto unrivaled performances attained by supervised approaches. To the best of our knowledge, SyntagNet is the first large-scale manually-curated resource of this kind made available to the community (at http://syntagnet.org).- Anthology ID:
- D19-1359
- Volume:
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong, China
- Editors:
- Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan
- Venues:
- EMNLP | IJCNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3534–3540
- Language:
- URL:
- https://aclanthology.org/D19-1359
- DOI:
- 10.18653/v1/D19-1359
- Cite (ACL):
- Marco Maru, Federico Scozzafava, Federico Martelli, and Roberto Navigli. 2019. SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 3534–3540, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations (Maru et al., EMNLP-IJCNLP 2019)
- PDF:
- https://preview.aclanthology.org/naacl24-info/D19-1359.pdf