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NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
TLDR
This paper describes the NILC USP system that participated in SemEval-2013 Task 2: Sentiment Analysis in Twitter. Expand
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NILC_USP: Aspect Extraction using Semantic Labels
TLDR
This paper details the system NILC USP that participated in the Semeval 2014: Aspect Based Sentiment Analysis task. Expand
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Formação de gentílicos a partir de topônimos: descrição linguística e aprendizado automático (Formation of Demonyms from Toponyms: Linguistic Description and Machine Learning)[In Portuguese]
TLDR
This paper aims to describe the rules required in the transformation of toponyms into demonyms in order to identify regularities. Expand
NILC at SR’20: Exploring Pre-Trained Models in Surface Realisation
This paper describes the submission by the NILC Computational Linguistics research group of the University of São Paulo/Brazil to the English Track 2 (closed sub-track) at the Surface RealisationExpand