A qualitative analysis of a corpus of opinion summaries based on aspects

dc.creatorLópez, Roque E.
dc.creatorAvanço, Lucas Vinicius
dc.creatorBalage Filho, Pedro Paulo
dc.creatorBokan, Alessandro Y.
dc.creatorCardoso, Paula Christina Figueira
dc.creatorDias, Márcio de Souza
dc.creatorNóbrega, Fernando Antônio Asevêdo
dc.creatorCabezudo, Marco Antonio Sobrevilla
dc.creatorSouza, Jackson W. C.
dc.creatorZacarias, Andressa C. I.
dc.creatorSeno, Eloize M. R.
dc.creatorFelippo, Ariani di
dc.creatorPardo, Thiago Alexandre Salgueiro
dc.date.accessioned2015-06-24T19:25:00Z
dc.date.accessioned2018-07-04T17:05:39Z
dc.date.available2015-06-24T19:25:00Z
dc.date.available2018-07-04T17:05:39Z
dc.date.created2015-06-24T19:25:00Z
dc.date.issued2015-06
dc.identifierConference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies; Linguistic Annotation Workshop, 9th, 2015, Denver.
dc.identifier9781941643471
dc.identifierhttp://www.producao.usp.br/handle/BDPI/48992
dc.identifierhttp://www.aclweb.org/anthology/W/W15/W15-1607.pdf
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1644566
dc.description.abstractAspect-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 sentimento 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.
dc.languageeng
dc.publisherAssociation for Computational Linguistics - ACL
dc.publisherDenver
dc.relationConference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies; Linguistic Annotation Workshop, 9th
dc.rightshttp://creativecommons.org/licenses/by/3.0/br/
dc.rightsCopyright The Authors
dc.rightsopenAccess
dc.titleA qualitative analysis of a corpus of opinion summaries based on aspects
dc.typeActas de congresos


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