tESA: a distributional measure for calculating semantic relatedness
نویسندگان
چکیده
منابع مشابه
tESA: a distributional measure for calculating semantic relatedness
BACKGROUND Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating semantic relatedness between texts and concepts represented by these texts is an important part of many text and knowledge processing tasks of crucial importa...
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Distributional measures of semantic relatedness determine word similarity based on how frequently a pair of words appear in the same contexts. A typical method is to construct a word-context matrix, then re-weight it using some measure of association, and finally take the vector distance as a measure of similarity. This has largely been an unsupervised process, but in recent years more work has...
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The automatic ranking of word pairs as per their semantic relatedness and ability to mimic human notions of semantic relatedness has widespread applications. Measures that rely on raw data (distributional measures) and those that use knowledge-rich ontologies both exist. Although extensive studies have been performed to compare ontological measures with human judgment, the distributional measur...
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This paper presents a new method to measure semantic relatedness between concepts of an ontology with a rich set of relationship types, and preforms a preliminary assessment of its validity. The measure was designed to be applicable to all biomedical ontologies, and to be flexible enough as to allow for different applications to address their own requirements by tuning, for example, the weight ...
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Distributional models assume that the contexts of a linguistic unit (such as a word, a multi-word expression, a phrase, a sentence, etc.) provide information about the meaning of the linguistic unit (Firth, 1957; Harris, 1968). They have been widely applied in data-intensive lexical semantics (among other areas), and proven successful in diverse research issues, such as the representation and d...
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ژورنال
عنوان ژورنال: Journal of Biomedical Semantics
سال: 2016
ISSN: 2041-1480
DOI: 10.1186/s13326-016-0109-6