French parsing enhanced with a word clustering method based on a syntactic lexicon
arXiv:2606.0063479.05 citationsh-index: 15
AI Analysis
This work improves French parsing for NLP researchers by leveraging a syntactic lexicon, though it is an incremental application of existing methods.
The authors integrated data from a French syntactic lexicon into a probabilistic parser and used clustering on verbs to achieve accurate parsing performance on French.
This article evaluates the integration of data extracted from a French syntactic lexicon, the Lexicon-Grammar (Gross, 1994), into a probabilistic parser. We show that by applying clustering methods on verbs of the French Treebank (Abeillé et al., 2003), we obtain accurate performances on French with a parser based on a Probabilistic Context-Free Grammar (Petrov et al., 2006).