Statistical and Semantic Features to Measure Sentence Similarity in Portuguese

被引：6

作者：

Pinheiro, Anderson ^{[1
]}

Ferreira, Rafael ^{[1
]}

Ferreira, Maverick Andre D. ^{[1
]}

Rolim, Vitor B. ^{[1
]}

Tenorio, Joao Vitor S. ^{[2
]}

机构：

[1] Univ Fed Rural Pernambuco, Dept Estat & Informat, Recife, PE, Brazil

[2] Univ Fed Minas Gerais, Dept Ciencia Comp, Belo Horizonte, MG, Brazil

来源：

2017 6TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS) | 2017年

关键词：

Sentence Similarity; Natural Language Processing; Text Mining;

D O I：

10.1109/BRACIS.2017.40

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A sentence similarity measure is an important field for different applications of text mining. In recent literature, it is possible to find several similarity measures between sentences in English; however, it lacks measures for Portuguese. In addition, one of the main issues to assess sentence similarity is to identify word meaning. In this context, this work aims to present a new approach to measure the similarity between sentences written in Portuguese using statistical and deep learning features to overcome the meaning problems. The results showed that our method obtained better results when compared to the measures proposed in ASSIN 2016 competition.

引用

页码：342 / 347

页数：6

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