Grouping Synonyms by Definitions

Ingrid Falk; Claire Gardent; Evelyne Jacquey; Fabienne Venant

inria-00418458, version 1

Grouping Synonyms by Definitions

Ingrid Falk () ¹, Claire Gardent () ¹, Evelyne Jacquey () ², Fabienne Venant ()^a^, 1

Recent Advances in Natural Language Processing (RANLP) (2009) 6

Résumé : We present a method for grouping the synonyms of a lemma according to its dictionary senses. The senses are defined by a large machine readable dictionary for French, the TLFi (Trésor de la langue française informatisé) and the synonyms are given by 5 synonym dictionaries (also for French). To evaluate the proposed method, we manually constructed a gold standard where for each (word, definition) pair and given the set of synonyms defined for that word by the 5 synonym dictionaries, 4 lexicographers specified the set of synonyms they judge adequate. While inter-annotator agreement ranges on that task from 67% to at best 88% depending on the annotator pair and on the synonym dictionary being considered, the automatic procedure we propose scores a precision of 67% and a recall of 71%. The proposed method is compared with related work namely, word sense disambiguation, synonym lexicon acquisition and WordNet construction.

a – Université Nancy II
1 : TALARIS (INRIA Nancy - Grand Est / LORIA)
CNRS : UMR7503 – INRIA – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
2 : Analyse et Traitement Informatique de la Langue Française (ATILF)
CNRS : UMR7118 – Université Henri Poincaré - Nancy I – Université Nancy II

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Contributeur : Ingrid Falk <>
Soumis le : Vendredi 18 Septembre 2009, 16:23:05
Dernière modification le : Vendredi 18 Septembre 2009, 16:25:37

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%% inria-00418458, version 1
%% http://hal.inria.fr/inria-00418458
@inproceedings{falk:inria-00418458,
    hal_id = {inria-00418458},
    url = {http://hal.inria.fr/inria-00418458},
    title = {{Grouping Synonyms by Definitions}},
    author = {Falk, Ingrid and Gardent, Claire and Jacquey, Evelyne and Venant, Fabienne},
    abstract = {{We present a method for grouping the synonyms of a lemma according to its dictionary senses. The senses are defined by a large machine readable dictionary for French, the TLFi (Tr{\'e}sor de la langue fran{\c c}aise informatis{\'e}) and the synonyms are given by 5 synonym dictionaries (also for French). To evaluate the proposed method, we manually constructed a gold standard where for each (word, definition) pair and given the set of synonyms defined for that word by the 5 synonym dictionaries, 4 lexicographers specified the set of synonyms they judge adequate. While inter-annotator agreement ranges on that task from 67\% to at best 88\% depending on the annotator pair and on the synonym dictionary being considered, the automatic procedure we propose scores a precision of 67\% and a recall of 71\%. The proposed method is compared with related work namely, word sense disambiguation, synonym lexicon acquisition and WordNet construction.}},
    keywords = {Similarity measures; Synonyms; Lexical Acquisition},
    language = {Anglais},
    affiliation = {TALARIS - INRIA Nancy - Grand Est / LORIA , Analyse et Traitement Informatique de la Langue Fran{\c c}aise - ATILF},
    booktitle = {{Recent Advances in Natural Language Processing (RANLP)}},
    pages = {6},
    address = {Borovets, Bulgarie},
    organization = {University of Wolverhampton, UK Institute for Parallel Processing, BAS, Bulgaria Incoma Ltd, Shoumen, Bulgaria},
    editor = {Ruslan Mitkov },
    note = {TALC theme of the CPER "Mod{\'e}lisation, Information et Syst{\`e}mes Num{\'e}riques" funded by the R{\'e}gion Lorraine. },
    audience = {internationale },
    year = {2009},
    month = Sep,
    pdf = {http://hal.inria.fr/inria-00418458/PDF/falketal-ranlp09-camera-ready.pdf},
}

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