Semantic Word Error Rate for Sentence Similarity

Giorgio Vassallo, Agnese Augello, Giovanni Pilato, Carmelo Spiccia

Risultato della ricerca: Otherpeer review

3 Citazioni (Scopus)

Abstract

Sentence similarity measures have applications in several tasks, including: Machine Translation, Paraphrase Identification, Speech Recognition, Question-answering and Text Summarization. However, measures designed for these tasks are aimed at assessing equivalence rather than resemblance, partly departing from human cognition of similarity. While this is reasonable for these activities, it hinders the applicability of sentence similarity measures to other tasks. We therefore propose a new sentence similarity measure specifically designed for resemblance evaluation, in order to cover these fields better. Experimental results are discussed.
Lingua originaleEnglish
Pagine266-269
Numero di pagine4
Stato di pubblicazionePublished - 2016

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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