Semantic Textual Similarity of Portuguese-Language Texts: An Approach Based on the Semantic Inferentialism Model

Pinheiro, Vládia; Furtado, Vasco; Albuquerque, Adriano Bessa

doi:10.1007/978-3-319-09761-9_19

Cited by 4 publications

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“…Related work for Portuguese has tackled mostly paraphrasing [12] or semantic textual similarity [13], which consists of computing the similarity of larger units of text. A shared task was recently organised on the latter [2].…”

Section: Introductionmentioning

confidence: 99%

Distributional and Knowledge-Based Approaches for Computing Portuguese Word Similarity

Oliveira

2018

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Abstract:Identifying similar and related words is not only key in natural language understanding but also a suitable task for assessing the quality of computational resources that organise words and meanings of a language, compiled by different means. This paper, which aims to be a reference for those interested in computing word similarity in Portuguese, presents several approaches for this task and is motivated by the recent availability of state-of-the-art distributional models of Portuguese words, which add to several lexical knowledge bases (LKBs) for this language, available for a longer time. The previous resources were exploited to answer word similarity tests, which also became recently available for Portuguese. We conclude that there are several valid approaches for this task, but not one that outperforms all the others in every single test. Distributional models seem to capture relatedness better, while LKBs are better suited for computing genuine similarity, but, in general, better results are obtained when knowledge from different sources is combined.

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Section: Introductionmentioning

confidence: 99%