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Knowledge and Information Systems
Published in: Knowledge and Information Systems 8/2020

20-03-2020 | Regular Paper

Lexifield: a system for the automatic building of lexicons by semantic expansion of short word lists

Authors: Suzanne Mpouli, Michel Beigbeder, Christine Largeron

Published in: Knowledge and Information Systems | Issue 8/2020

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Abstract

We present Lexifield, a fully automatic language-independent system for building domain-specific lexicons from a short list of terms defining the domain. Lexifield relies on a pre-trained word embedding model, a definition dictionary and a dictionary of synonyms. To evaluate this system, four lexicons have been generated: one lexicon in French for the topic “son” (“sound”) and three lexicons in English for the topics “sound”, “taste” and “odour”. As compared to other word embedding-based systems and a state-of-the-art sensorial lexicon, Sensicon, our system achieves better precision and recall on reference lists extracted from manually created resources such as Roget’s Thesaurus.
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Footnotes
9
As the embedding of a word depends on the context where it is used and thus on its POS tag, in the experiments, we distinguish taste\(_{noun}\) and taste\(_{verb}\) for instance.
 
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Metadata
Title
Lexifield: a system for the automatic building of lexicons by semantic expansion of short word lists
Authors
Suzanne Mpouli
Michel Beigbeder
Christine Largeron
Publication date
20-03-2020
Publisher
Springer London
Published in
Knowledge and Information Systems / Issue 8/2020
Print ISSN: 0219-1377
Electronic ISSN: 0219-3116
DOI
https://doi.org/10.1007/s10115-020-01451-6

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