The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
Open accessAbstract
Word Sense Disambiguation is a longstanding task in Natural Language Processing, lying at the core of human language understanding.However, the evaluation of automatic systems has been problematic, mainly due to the lack of a reliable evaluation framework.In this paper we develop a unified evaluation framework and analyze the performance of various Word Sense Disambiguation systems in a fair setup.The results show that supervised systems clearly outperform knowledge-based models.Among the supervised systems, a linear classifier trained on conventional local features still proves to be a hard baseline to beat.Nonetheless, recent approaches exploiting neural networks on unlabeled corpora achieve promising results, surpassing this hard baseline in most test sets.
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Cites
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Cited by
Deep Contextualized Word Representations
Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1202 · Cited by 11,983
Knowledge Enhanced Contextual Word Representations
Peters, M. E., Neumann, M., Logan, R., Schwartz, R., Joshi, V., Singh, S., & Smith, N. A. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1005 · Cited by 661
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv · doi:10.48550/arxiv.2206.04615 · Cited by 569
From Word To Sense Embeddings: A Survey on Vector Representations of Meaning
Camacho-Collados, J., & Pilehvar, M. T. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.11259 · Cited by 363
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Metadata
- Authors
- Raganato, A., Camacho-Collados, J., & Navigli, R.
- Venue
- Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- Published
- 2017
- Pages
- 99-110
- OpenAlex
- W2740782137
- Cited by
- 316
- References
- 44
- FWCI
- 20.20
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Raganato, A., Camacho-Collados, J., & Navigli, R. (2017). Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. https://doi.org/10.18653/v1/e17-1010
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