Improving question-answering for Portuguese using triples extracted from corpora

3Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We present here an evolution of a QA system for Portuguese that uses subject-predicate-object triples extracted from sentences in a corpus. The system is supported by indices that store those triples, related sentences and documents. It processes the questions and retrieves answers based on the triples. For purposes of testing and evaluation, we have used the CHAVE corpus, used in multiple editions of the CLEF multilingual QA tracks. The questions from those editions were used to query and benchmark our system. Currently, the system manages to answer up to 42% of those questions. This document describes the modules that compose the system and how they are combined, providing a brief analysis on them, and also current results, as well as some expectations regarding future work.

Cite

CITATION STYLE

APA

Rodrigues, R., & Gomes, P. (2016). Improving question-answering for Portuguese using triples extracted from corpora. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9727, pp. 25–37). Springer Verlag. https://doi.org/10.1007/978-3-319-41552-9_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free