The cornerstone of current Computational Linguistics research is the computation of semantic similarity between lexical items or some of their conceptualization in available semantic resources such as WordNet. However, measures for semantic similarity (and/or relatedness) usually work with numerical outputs, which are then used to solve tasks related to word disambiguation rather than information retrieval. In this paper, we start from the limitations of using numeric-based similarity measures, proposing a novel approach to provide explanations of similarity, even if still calculated through statistical (and thus numerical) analyses. This may allow a novel, fine-grained and context-based similarity reasoning over lexical entities. In this contribution, we define the concept of semantic similarity reasoning and a method of extraction from ConceptNet, a large common-sense resource. Finally, we present a number of hypotheses of how such shift of paradigm could represent a new building block of future natural language technologies. © Springer International Publishing Switzerland 2016.

Semantic similarity reasoning

DI CARO, Luigi;BOELLA, Guido
2016-01-01

Abstract

The cornerstone of current Computational Linguistics research is the computation of semantic similarity between lexical items or some of their conceptualization in available semantic resources such as WordNet. However, measures for semantic similarity (and/or relatedness) usually work with numerical outputs, which are then used to solve tasks related to word disambiguation rather than information retrieval. In this paper, we start from the limitations of using numeric-based similarity measures, proposing a novel approach to provide explanations of similarity, even if still calculated through statistical (and thus numerical) analyses. This may allow a novel, fine-grained and context-based similarity reasoning over lexical entities. In this contribution, we define the concept of semantic similarity reasoning and a method of extraction from ConceptNet, a large common-sense resource. Finally, we present a number of hypotheses of how such shift of paradigm could represent a new building block of future natural language technologies. © Springer International Publishing Switzerland 2016.
International Workshop on Future and Emergent Trends in Language Technology
Seville, Spain
19 November 2015 through 20 November 2015
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Springer Verlag
9577
127
138
9783319334998
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964841944&doi=10.1007%2f978-3-319-33500-1_11&partnerID=40&md5=dcb72af30c98dca42df3317193b56238
Computational linguistics; Natural language processing systems, Building blockes; Context-based similarity; Natural languages; Numerical output; Semantic resources; Semantic similarity; Similarity measure; Similarity reasoning, Semantics; Ditributional semantics; Semantic similarity; Similarity reasoning
Di Caro, Luigi; Boella, Guido
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1639633
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