A generic tool to generate a lexicon for NLP from Lexicon-Grammar tables

Lexicon-Grammar tables constitute a large-coverage syntactic lexicon but they cannot be directly used in Natural Language Processing (NLP) applications because they sometimes rely on implicit information. In this paper, we introduce LGExtract, a generic tool for generating a syntactic lexicon for NLP from the Lexicon-Grammar tables. It is based on a global table that contains undefined information and on a unique extraction script including all operations to be performed for all tables. We also present an experiment that has been conducted to generate a new lexicon of French verbs and predicative nouns

Extending the adverbial coverage of a NLP oriented resource for French

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.Comment: Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP'11), Chiang Mai : Thailand (2011

Construction du lexique LGLex \`a partir des tables du Lexique-Grammaire des verbes du grec moderne

In this paper, we summerize the work done on the resources of Modern Greek on the Lexicon-Grammar of verbs. We detail the definitional features of each table, and all changes made to the names of features to make them consistent. Through the development of the table of classes, including all the features, we have considered the conversion of tables in a syntactic lexicon: LGLex. The lexicon, in plain text format or XML, is generated by the LGExtract tool (Constant & Tolone, 2010). This format is directly usable in applications of Natural Language Processing (NLP).Comment: 30\`eme Colloque international sur le Lexique et la Grammaire (LGC'11), Nicosie : Chypre (2011

Exploitation des tables du Lexique-Grammaire pour l'analyse syntaxique automatique

The 28th Conference on Lexis and GrammarInternational audienceIn this paper, we describe how we converted the Lexicon-Grammar tables of French verbs into an NLP format, that of the Lefff lexicon, which allowed us to integrate it into the FRMG parser. 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

A generic tool to generate a lexicon for NLP from Lexicon-Grammar tables

International audienceLexicon-grammar tables constitute a large-coverage syntactic lexicon but they cannot be directly used in Natural Language Processing (NLP) applications because they sometimes rely on implicit information. In this paper, we introduce a generic tool for generating a syntactic lexicon for NLP from the lexicon-grammar tables. It relies on a global table that contains undefined information and on a unique extraction script including all operations to be performed for all tables. We also show an experiment that has been conducted to generate a new lexicon of French verbs and nouns

Intégrer les tables du Lexique-Grammaire à un analyseur syntaxique robuste à grande échelle

National audienceIn this paper, we describe how we converted the lexicon-grammar tables into an NLP format, that of the Lefff lexicon, which allowed us to integrate it into the FRMG parser. We decribe the linguistic basis of this conversion process, and the resulting lexicon. We validate the resulting lexicon by evaluating the FRMG parser on the EASy reference corpus depending on the set of verbal entries it relies on, namely those of the Lefff or those of the converted lexicon-grammar verb tables

Adding frequencies to the LGLex lexicon with IRASUBCAT

We present a method for enlarge a lexicon (with frequencies information), that is useful for parsing and others NLP applications. We show an example enlarging the verbal LGLex lexicon of French [8], using several corpora extracted from the evaluation campaign for French parsers Passage [5]. To do that, we use the results of the frmg parser [7] with IRASubcat, a tool that automatically acquires subcategorization frames from corpus in any language and that also allows to complete an existing lexicon. We obtain the frequencies of occurrence for each input and each subcategorization frame for 14,068 distinct lemmas.Sociedad Argentina de Informática e Investigación Operativ

Les tables du Lexique-Grammaire au format TAL

National audienceLexicon-Grammar tables are a very rich syntactic lexicon for the French language. This linguistic database is nevertheless not suitable for use by computer programs, as it is incomplete and lacks consistency. Our goal is to adapt the tables, so as to make them usable in various Natural Language Processing (NLP) applications. We describe the problems we encountered and the approaches we followed to enable their integration into a parser

Les Entités Nommées : usage et degrés de précision et de désambiguïsation

International audienceThe recognition and classification of Named Entities (NER) are regarded as an important component for many Natural Language Processing (NLP) applications. The classification is usually made by taking into account the immediate context in which the NE appears. In some cases, this immediate context does not allow getting the right classification. We show in this paper that the use of an extended syntactic context and large-scale resources could be very useful in the NER task

Constructions définitoires des tables du Lexique-Grammaire

International audienceLexicon-Grammar tables are a very rich syntactic lexicon for the French language. This linguistic database is nevertheless not directly suitable for use by computer programs, as it is incomplete and lacks consistency. Tables are defined on the basis of features which are not explicitly recorded in the lexicon. These features are only described in literature. Our aim is to define for each tables these essential properties to make them usable in various Natural Language Processing (NLP) applications, such as parsing