Error mining in parsing results
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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In this paper, we describe the integration of Lexicon-Grammar tables for French verbs in the large-coverage FRMG parser and the evaluation of the resulting parser. This integration required a conversion step so as to extract the syntactic information encoded in Lexicon-Grammar tables and represent it in theNLP lexical formalism used by FRMG, i.e., theAlexina framework (that of the Lefff lexicon, on which the standard version of FRMG relies). We describe the linguistic basis of this conversion process, and the resulting lexicon. We compare the results of the FRMG parser on the EASy reference corpus depending on whether it relies on the verb entries of the Lefff or those of the converted Lexicon-Grammar verb tables.