Recognizing Textual Entailment and Paraphrases in Portuguese

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Gil Rocha (Autor) FEUP; Henrique Lopes Cardoso (Autor) FEUP

Ata de Conferência Internacional

Título: PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017)

Páginas: 868-879

18th EPIA Conference on Artificial Intelligence (EPIA)

Univ Porto, Fac Engn, Porto, PORTUGAL, SEP 05-08, 2017

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00N-0ZZ

DOI: 10.1007/978-3-319-65340-2_70

Abstract (EN): The aim of textual entailment and paraphrase recognition is to determine whether the meaning of a text fragment can be inferred (is entailed) from the meaning of another text fragment. In this paper, we address the task of automatically recognizing textual entailment (RTE) and paraphrases from text written in the Portuguese language employing supervised machine learning techniques. Firstly, we formulate the task as a multi-class classification problem. We conclude that semantic-based approaches are very promising to recognize textual entailment and that combining data from European and Brazilian Portuguese brings several challenges typical with cross-language learning. Then, we formulate the task as a binary classification problem and demonstrate the capability of the proposed classifier for RTE and paraphrases. The results reported in this work are promising, achieving 0.83 of accuracy on the test data.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12