Alves, Ana
[VerfasserIn];
Gonçalo Oliveira, Hugo
[VerfasserIn];
Rodrigues, Ricardo
[VerfasserIn];
Encarnação, Rui
[VerfasserIn]
;
Ana Alves and Hugo Gonçalo Oliveira and Ricardo Rodrigues and Rui Encarnação
[MitwirkendeR]
ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese
Anmerkungen:
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Beschreibung:
Semantic Textual Similarity (STS) aims at computing the proximity of meaning transmitted by two sentences. In 2016, the ASSIN shared task targeted STS in Portuguese and released training and test collections. This paper describes the development of ASAPP, a system that participated in ASSIN, but has been improved since then, and now achieves the best results in this task. ASAPP learns a STS function from a broad range of lexical, syntactic, semantic and distributional features. This paper describes the features used in the current version of ASAPP, and how they are exploited in a regression algorithm to achieve the best published results for ASSIN to date, in both European and Brazilian Portuguese.