Abstract
This paper focuses on the extraction of lexical knowledge from text by exploiting the “glosses” of words, i.e. spontaneous descriptions identifiable by lexical markers and specific morpho-syntactic patterns. This information offers interesting knowledge in order to build dictionaries. In this study based on the RESENS project, we compare two methods to extract this linguistic information using local grammars and/or web-mining approaches. Experiments have been conducted on real data in French.
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Mela, A., Roche, M., El Amine Bekhtaoui, M. (2012). Lexical Knowledge Acquisition Using Spontaneous Descriptions in Texts. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_49
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DOI: https://doi.org/10.1007/978-3-642-31178-9_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31177-2
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