Recognizing Textual Entailment and Paraphrases in Portuguese

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

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

Conference proceedings International

Title: PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017)

Pages: 868-879

18th EPIA Conference on Artificial Intelligence (EPIA)

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

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12