Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing
(2012) Annual Meeting of the Association for Computational Linguistics — Location: Jeju Island, Korea
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- Abstract
- The integration of multiword expressions in a parsing procedure has been shown to improve accuracy in an artificial context where such expressions have been perfectly pre-identified. This paper evaluates two empirical strategies to integrate multiword units in a real constituency parsing context and shows that the results are not as promising as has sometimes been suggested. Firstly, we show that pregrouping multiword expressions before parsing with a state-of-the-art recognizer improves multiword recognition accuracy and unlabeled attachment score. However, it has no statistically significant impact in terms of F-score as incorrect multiword expression recognition has important side effects on parsing. Secondly, integrating multiword expressions in the parser grammar followed by a reranker specific to such expressions slightly improves all evaluation metrics.
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Constant, M., Sigogne, A., & Watrin, P. (2012). Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing. The 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, p. 204-212. https://hdl.handle.net/2078.5/223985