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Information 2018, 9(2), 35; doi:10.3390/info9020035

Distributional and Knowledge-Based Approaches for Computing Portuguese Word Similarity

Centre for Informatics and Systems of the University of Coimbra (CISUC), Department of Informatics Engineering, University of Coimbra, 3030-290 Coimbra, Portugal
This paper is an extended version of our paper published in Progress in Artificial Intelligence, Proceedings of 18th EPIA Conference on Artificial Intelligence, Porto, Portugal, 5–8 September 2017; Volume 10423 of LNCS, Springer, pp. 828–840, entitled Unsupervised Approaches for Computing Word Similarity in Portuguese.
Received: 18 December 2017 / Revised: 23 January 2018 / Accepted: 4 February 2018 / Published: 8 February 2018
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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. View Full-Text
Keywords: semantic similarity; word similarity; lexical knowledge bases; lexical semantics; word embeddings; distributional semantics semantic similarity; word similarity; lexical knowledge bases; lexical semantics; word embeddings; distributional semantics

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gonçalo Oliveira, H. Distributional and Knowledge-Based Approaches for Computing Portuguese Word Similarity. Information 2018, 9, 35.

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