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2016
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 ...
Luigi Di Caro, Guido Boella
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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 ...
Luigi Di Caro, Guido Boella
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Dimensions of Semantic Similarity
2017Semantic similarity is a broad term used to describe many tools, models and methods applied in knowledge bases, semantic graphs, text disambiguation, ontology matching and more. Because of such broad scope it is, in a “general” case, difficult to properly capture and formalize.
Pawel Szmeja +3 more
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A semantic similarity measure in the context of semantic queries
International Journal of Computer Applications in Technology, 2008In the current age of information, applications must deal with the heterogeneity of data. Many efforts in the state of the art try to solve this issue in an automatic fashion and the emergence of semantic Web technologies has boosted these techniques. However, the usage of these technologies gives place to new problems that must be sorted out.
José M. Blázquez del Toro +3 more
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Algorithmic detection of semantic similarity
Proceedings of the 14th international conference on World Wide Web - WWW '05, 2005Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic measures is limited by the coverage of user studies, which do not scale with the size, heterogeneity, and growth of the Web. Here we propose to leverage human-generated metadata --
Ana Gabriela Maguitman +3 more
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Semantic similarity for sequenced shingles
2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), 2015In this investigation, we introduce new kinds of sentence similarity, called Euclid similarity and Levenshtein similarity, to capture both word sequences and semantic aspects. This is especially useful for Semantic Textual Similarity (STS) so that we could retrieve SNS texts, short sentences or something including collocations.
Fumito Konaka, Takao Miura
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Proceedings of the Workshop on Linguistic Distances - LD '06, 2006
Linguistic similarity has been a prominent notion and tool in computational linguistics and related areas, as elaborated nicely in the announcement of this workshop. Yet, what exactly counts as "similarity", or when two linguistic concepts should be regarded as similar, often remains rather vague and ill posed, which is in fact quite typical for ...
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Linguistic similarity has been a prominent notion and tool in computational linguistics and related areas, as elaborated nicely in the announcement of this workshop. Yet, what exactly counts as "similarity", or when two linguistic concepts should be regarded as similar, often remains rather vague and ill posed, which is in fact quite typical for ...
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Information Retrieval by Semantic Similarity
International Journal on Semantic Web and Information Systems, 2006Semantic Similarity relates to computing the similarity between conceptually similar but not necessarily lexically similar terms. Typically, semantic similarity is computed by mapping terms to an ontology and by examining their relationships in that ontology. We investigate approaches to computing the semantic similarity between natural language terms (
Angelos Hliaoutakis +4 more
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Detection of semantically similar code
Frontiers of Computer Science, 2014The traditional similar code detection approaches are limited in detecting semantically similar codes, impeding their applications in practice. In this paper, we have improved the traditional metrics-based approach as well as the graph-based approach and presented a metrics-based and graph-based combined approach. First, source codes are represented as
Tiantian Wang 0001 +3 more
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Semantic similarity in heterogeneous ontologies
Proceedings of the 22nd ACM conference on Hypertext and hypermedia, 2011Recent extensive usage of ontologies as knowledge bases that enable rigorous representation and reasoning over heterogenous data poses certain challenges in their construction and maintenance. Many of these ontologies are incomplete, containing many dense sub-ontologies.
Elisa Chiabrando +4 more
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Getting Creative with Semantic Similarity
2013 IEEE Seventh International Conference on Semantic Computing, 2013This paper investigates how graph-based representations of entities and concepts can be used to infer semantic similarity and relatedness, and, more speculatively, how these can be used to infer novel associations as part of a creative process. We show how personalised PageRank on a co-occurrence graph can obtain competitive scores on a standard ...
Ching-Yun Chang +2 more
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