Title
A qualitative analysis of a corpus of opinion summaries based on aspects
Date Issued
01 January 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Avanço L.V.
Filho P.P.B.
Bokan A.Y.
Cardoso P.C.F.
Dias M.S.
Nóbrega F.A.A.
Souza J.W.C.
Zacarias A.C.I.
Seno E.M.R.
Di Felippo A.
Pardo T.A.S.
University of São Paulo
University of São Paulo
Publisher(s)
Association for Computational Linguistics
Abstract
Aspect-based opinion summarization is the task of automatically generating a summary for some aspects of a specific topic from a set of opinions. In most cases, to evaluate the quality of the automatic summaries, it is necessary to have a reference corpus of human summaries to analyze how similar they are. The scarcity of corpora in that task has been a limiting factor for many research works. In this paper, we introduce OpiSums-PT, a corpus of extractive and abstractive summaries of opinions written in Brazilian Portuguese. We use this corpus to analyze how similar human summaries are and how people take into account the issues of aspect coverage and sentiment orientation to generate manual summaries. The results of these analyses show that human summaries are diversified and people generate summaries only for some aspects, keeping the overall sentiment orientation with little variation.
Start page
62
End page
71
Language
English
OCDE Knowledge area
Lingüística
Subjects
Scopus EID
2-s2.0-85084368830
Resource of which it is part
LAW 2015 - 9th Linguistic Annotation Workshop, held in conjuncion with NAACL 2015 - Proceedings of the Workshop
ISBN of the container
9781941643471
Conference
9th Linguistic Annotation Workshop, LAW 2015, held in conjuncion with NAACL 2015
Sources of information:
Directorio de Producción Científica
Scopus