Abstract
We introduce an error mining technique for automatically detecting errors in resources that are used in parsing systems. We applied this technique on parsing results produced on several million words by two distinct parsing systems, which share the syntactic lexicon and the pre-parsing processing chain. We were thus able to identify missing and erroneous information in these resources. © 2006 Association for Computational Linguistics.
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CITATION STYLE
Sagot, B., & De La Clergerie, É. (2006). Error mining in parsing results. In COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Vol. 1, pp. 329–336). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1220175.1220217
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