Browsing by Author "Cotik, Viviana"

Now showing items 1-5 of 5

    • Arabic medical entity tagging using distant learning in a multilingual framework 

      Cotik, Viviana; Rodríguez Hontoria, Horacio; Vivaldi, Jorge (Elsevier, 2017-04-30)
      Article
      Open Access
      A semantic tagger aiming to detect relevant entities in Arabic medical documents and tagging them with their appropriate semantic class is presented. The system takes profit of a Multilingual Framework covering four languages ...

    • Semantic tagging and normalization of French medical entities 

      Cotik, Viviana; Rodríguez Hontoria, Horacio; Vivaldi, Jorge (CEUR-WS.org, 2016)
      Conference report
      Open Access
      In this paper we present two tools for facing task 2 in CLEF eHealth 2016. The first one is a semantic tagger aiming to detect relevant entities in French medical documents, tagging them with their appropriate ...

    • Semantic tagging of French medical entities using distant learning 

      Cotik, Viviana; Rodríguez Hontoria, Horacio; Vivaldi, Jorge (CEUR-WS.org, 2015)
      Conference lecture
      Open Access
      In this paper we present a semantic tagger aiming to detect relevant entities in French medical documents and tagging them with their appropriate semantic class. These experiments has been carried out in the framework ...

    • Spanish named entity recognition in the biomedical domain 

      Cotik, Viviana; Rodríguez Hontoria, Horacio; Vivaldi Palatresi, Jorge (Springer, 2018)
      Conference report
      Open Access
      Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance ...

    • Syntactic methods for negation detection in radiology reports in Spanish 

      Cotik, Viviana; Stricker, Vanesa; Vivaldi, Jorge; Rodríguez Hontoria, Horacio (Association for Computational Linguistics, 2016)
      Conference report
      Open Access
      Identification of the certainty of events is an important text mining problem. In particular, biomedical texts report medical conditions or findings that might be factual, hedged or negated. Identification ...