Qualitative terminology extraction: Identifying relational adjectives

International audienceThis paper presents the identification in corpora of French relational adjectives, phenomena considered by linguists as highly informative. The approach uses a termer which is applied on a tagged and lemmatized corpus. Relational adjectives and nominal compounds which include a relational adjective are then quantified and their informative status is evaluated thanks to a thesaurus of the domain. We conclude with a discussion of the interesting status of such adjectives and nominal compounds for terminology extraction and other automatic terminology tasks

Identification of Fertile Translations in Medical Comparable Corpora: a Morpho-Compositional Approach

This paper defines a method for lexicon in the biomedical domain from comparable corpora. The method is based on compositional translation and exploits morpheme-level translation equivalences. It can generate translations for a large variety of morphologically constructed words and can also generate 'fertile' translations. We show that fertile translations increase the overall quality of the extracted lexicon for English to French translation

Influence des domaines de spécialité dans l'extraction de termes-clés

National audienceLes termes-clés sont les mots ou les expressions polylexicales qui représentent le contenu principal d'un document. Ils sont utiles pour diverses applications, telles que l'indexation automatique ou le résumé automatique, mais ne sont pas toujours disponibles. De ce fait, nous nous intéressons à l'extraction automatique de termes-clés et, plus particulièrement, à la difficulté de cette tâche lors du traitement de documents appartenant à certaines disciplines scientifiques. Au moyen de cinq corpus représentant cinq disciplines différentes (archéologie, linguistique, sciences de l'information, psychologie et chimie), nous déduisons une échelle de difficulté disciplinaire et analysons les facteurs qui influent sur cette difficulté

Tools for Terminology Processing

International audienceAutomatic terminology processing appeared 10 years ago when electronic corpora became widely available. Such processing may be statistically or linguistically based and produces terminology resources that can be used in a number of applications : indexing, information retrieval, technology watch, etc. We present the tools that have been developed in the IRIN Institute. They all take as input texts (or collection of texts) and reflect different states of terminology processing: term acquisition, term recognition and term structuring

Comparability measurement for terminology extraction

Proceedings of the Workshop CHAT 2011: Creation, Harmonization and Application of Terminology Resources. Editors: Tatiana Gornostay and Andrejs Vasiļjevs. NEALT Proceedings Series, Vol. 12 (2011), 3-10. © 2011 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/16956

Extraction d'expressions-cibles de l'opinion : de l'anglais au français

National audienceIn this paper, we present the development of an Opinion Target Extraction system in english and transpose it to french. In addition, we realize an analysis of the features and their effectiveness in english and french which suggest that it is possible to build an Opinion Target Extraction system independant of the domain. Finally, we propose a comparative study of the errors of our systems in both english and french and propose several solutions to these problems.Dans cet article, nous présentons le développement d'un système d'extraction d'expressions-cibles pour l'anglais et sa transposition au français. En complément, nous avons réalisé une étude de l'efficacité des traits en anglais et en français qui tend à montrer qu'il est possible de réaliser un système d'extraction d'expressions-cibles indépendant du domaine. Pour finir, nous proposons une analyse comparative des erreurs commises par nos systèmes en anglais et français et envisageons différentes solutions à ces problèmes

FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain

This paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain. It is composed of 3,105 questions taken from real exams of the French medical specialization diploma in pharmacy, mixing single and multiple answers. Each instance of the dataset contains an identifier, a question, five possible answers and their manual correction(s). We also propose first baseline models to automatically process this MCQA task in order to report on the current performances and to highlight the difficulty of the task. A detailed analysis of the results showed that it is necessary to have representations adapted to the medical domain or to the MCQA task: in our case, English specialized models yielded better results than generic French ones, even though FrenchMedMCQA is in French. Corpus, models and tools are available online