Extending the adverbial coverage of a NLP oriented resource for French
Elsa Tolone (LIGM, FaMAF), Voyatzi Stavroula (LIGM)

TL;DR
This paper enhances a French NLP resource by expanding adverb entries through linguistic analysis of adverb types and relations, improving syntactic coverage for NLP applications.
Contribution
It introduces a method to extend adverbial entries in LGLex by exploiting detailed linguistic features and relations, including simple and compound adverbs.
Findings
Expanded adverbial entries in LGLex
Manual evaluation confirms improved coverage
Resource is publicly available under LGPL-LR
Abstract
This paper presents a work on extending the adverbial entries of LGLex: a NLP oriented syntactic resource for French. Adverbs were extracted from the Lexicon-Grammar tables of both simple adverbs ending in -ment '-ly' (Molinier and Levrier, 2000) and compound adverbs (Gross, 1986; 1990). This work relies on the exploitation of fine-grained linguistic information provided in existing resources. Various features are encoded in both LG tables and they haven't been exploited yet. They describe the relations of deleting, permuting, intensifying and paraphrasing that associate, on the one hand, the simple and compound adverbs and, on the other hand, different types of compound adverbs. The resulting syntactic resource is manually evaluated and freely available under the LGPL-LR license.
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Taxonomy
TopicsNatural Language Processing Techniques · Text Readability and Simplification · Topic Modeling
