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Evaluating induced CCG parsers on grounded semantic parsing

EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings (2016) 2022-2027
DOI: 10.18653/v1/d16-1214
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Abstract

We compare the effectiveness of four different syntactic CCG parsers for a semantic slot-filling task to explore how much syntactic supervision is required for downstream semantic analysis. This extrinsic, task-based evaluation also provides a unique window into the semantics captured (or missed) by unsupervised grammar induction systems.

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Bisk, Y., Reddy, S., Blitzer, J., Hockenmaier, J., & Steedman, M. (2016). Evaluating induced CCG parsers on grounded semantic parsing. In EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings (pp. 2022–2027). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d16-1214

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