Conference paper Open Access

A Domain Independent Semantic Measure for Keyword Sense Disambiguation

María G. Buey; Carlos Bobed; Jorge Gracia; Eduardo Mena


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{
  "description": "<p>Understanding the user&#39;s intention is crucial for many tasks that involve human-machine interaction. To that end, word sense disambiguation (WSD) techniques play an important role. WSD techniques typically require well-formed sentences as context to operate, as well as pre-defined catalogues of word senses. However, there are some scenarios on the Web where such conditions do not apply well, such as when there is a need to disambiguate keywords from a query, or sets of tags describing any Web resource, where the context does not come as well-formed sentences. In this paper, we propose an approach to disambiguate sets of keywords by linking them to concepts of a given ontology that is not known at training time. Our approach grounds on a semantic relatedness measure between words and concepts, and explores different disambiguation algorithms to study the contribution of both word and sentence-level representations. We focus on situations where the available linguistic information is very scarce (e.g., keyword-based / Web search queries), hampering natural language based approaches. Experimental results show the feasibility of our approach in general and in specific knowledge domains without previous training for the target domain.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Everis/NTT Data", 
      "@type": "Person", 
      "name": "Mar\u00eda G. Buey"
    }, 
    {
      "affiliation": "University of Zaragoza", 
      "@type": "Person", 
      "name": "Carlos Bobed"
    }, 
    {
      "affiliation": "University of Zaragoza", 
      "@id": "https://orcid.org/0000-0001-6452-7627", 
      "@type": "Person", 
      "name": "Jorge Gracia"
    }, 
    {
      "affiliation": "University of Zaragoza", 
      "@type": "Person", 
      "name": "Eduardo Mena"
    }
  ], 
  "headline": "A Domain Independent Semantic Measure for Keyword Sense Disambiguation", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2021-03-23", 
  "url": "https://zenodo.org/record/4631685", 
  "version": "pre-published version", 
  "@type": "ScholarlyArticle", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4631685", 
  "@id": "https://doi.org/10.5281/zenodo.4631685", 
  "workFeatured": {
    "url": "https://www.sigapp.org/sac/sac2021/index.html", 
    "alternateName": "SAC 2021", 
    "location": "online", 
    "@type": "Event", 
    "name": "36th ACM/SIGAPP Symposium On Applied Computing"
  }, 
  "name": "A Domain Independent Semantic Measure for Keyword Sense Disambiguation"
}
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