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Conference papers

Error mining in parsing results

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.
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https://hal.inria.fr/hal-02270412
Contributor : Benoît Sagot <>
Submitted on : Sunday, August 25, 2019 - 12:18:07 PM
Last modification on : Friday, August 30, 2019 - 11:41:50 AM
Long-term archiving on: : Friday, January 10, 2020 - 3:14:12 AM

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  • HAL Id : hal-02270412, version 1

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Benoît Sagot, Éric Villemonte de la Clergerie. Error mining in parsing results. The 21st International Conference of the Association for Computational Linguistics (ACL 2006), Jul 2006, Sydney, Australia. pp.329-336. ⟨hal-02270412⟩

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