INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual

Pedro Fialho, Ricardo Marques, Bruno Martins, Luísa Coheur, Paulo Quaresma

Research output: Contribution to journalArticleAcademicpeer-review


In this article we present INESC-ID@ASSIN, a system that competed in the 2016 joint evaluation effort entitled Avaliação de Similaridade Semântica e Inferência Textual (ASSIN), in the tasks of semantic similarity and textual entailment recognition. INESC-ID@ASSIN addresses the problem of detecting sentence similarity as a regression task, and it addresses textual entailment as a classification task. Although INESC-ID@ASSIN relies mainly on simple lexical features for detecting paraphrases and recognizing textual entailment, promising results were achieved in this joint evaluation.
Original languageMultiple
Pages (from-to)33-42
Issue number2
Publication statusPublished - 1 Nov 2016
Externally publishedYes


  • aprendizagem supervisionada
  • regressão
  • classificação

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