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Medientyp:
E-Artikel
Titel:
An overview of word and sense similarity
Beteiligte:
Navigli, Roberto;
Martelli, Federico
Erschienen:
Cambridge University Press (CUP), 2019
Erschienen in:Natural Language Engineering
Sprache:
Englisch
DOI:
10.1017/s1351324919000305
ISSN:
1351-3249;
1469-8110
Entstehung:
Anmerkungen:
Beschreibung:
<jats:title>Abstract</jats:title><jats:p>Over the last two decades, determining the similarity between words as well as between their meanings, that is, word senses, has been proven to be of vital importance in the field of Natural Language Processing. This paper provides the reader with an introduction to the tasks of computing word and sense similarity. These consist in computing the degree of semantic likeness between words and senses, respectively. First, we distinguish between two major approaches: the knowledge-based approaches and the distributional approaches. Second, we detail the representations and measures employed for computing similarity. We then illustrate the evaluation settings available in the literature and, finally, discuss suggestions for future research.</jats:p>