arXiv 2008.015442020-07-28cs.CLcs.IRcs.LG

Deep Learning Brasil -- NLP at SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Federal University of Goiás（戈亚斯联邦大学）

Manoel Veríssimo dos Santos Neto, Ayrton Denner da Silva Amaral, Nádia Félix Felipe da Silva, Anderson da Silva Soares

英文摘要：

In this paper, we describe a methodology to predict sentiment in code-mixed tweets (hindi-english). Our team called verissimo.manoel in CodaLab developed an approach based on an ensemble of four models (MultiFiT, BERT, ALBERT, and XLNET). The final classification algorithm was an ensemble of some predictions of all softmax values from these four models. This architecture was used and evaluated in the context of the SemEval 2020 challenge (task 9), and our system got 72.7% on the F1 score.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。