DeftPunk at SemEval-2020 Task 6: Using RNN-ensemble for the Sentence Classification

Autor:	Anna Soboleva, Jekaterina Kaparina
Rok vydání:	2020
Předmět:	Computer science business.industry Artificial intelligence computer.software_genre business computer Class (biology) Sentence Natural language processing SemEval Task (project management)
Zdroj:	SemEval@COLING
DOI:	10.18653/v1/2020.semeval-1.91
Popis:	This paper describes participation in DeftEval 2020 (part of SemEval sharing task competition), and is focused on the sentence classification. Our approach to the task was to create an ensemble of several RNNs combined with fasttext and ELMo embeddings. Results show that various types of models in an ensemble give a performance boost in comparison to standard models. Our model achieved F1-score of 78% for a positive class on the DeftEval dataset.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::47a5fc8ac3a613529a94d9a9ab02af39 https://doi.org/10.18653/v1/2020.semeval-1.91 Zobrazit plný text záznamu