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When, Where, Who, What or Why? A Hybrid Model to Question Answering Systems.

, , and . PROPOR, volume 11122 of Lecture Notes in Computer Science, page 136-146. Springer, (2018)

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TUB at HASOC 2020: Character based LSTM for Hate Speech Detection in Indo-European Languages., , and . FIRE (Working Notes), volume 2826 of CEUR Workshop Proceedings, page 298-303. CEUR-WS.org, (2020)Modeling, comprehending and summarizing textual content by graphs, , , and . (2018)cite arxiv:1807.00303.Pylinguistics: an open source library for readability assessment of texts written in Portuguese, , , and . Revista De Sistemas De Informação Da FSMA, (2017)Is there Gender bias and stereotype in Portuguese Word Embeddings?, , and . CoRR, (2018)BEATnIk: an algorithm to Automatic generation of educational description of movies, , , , and . Proceedings of the XXVIII Brazilian Symposium on Computers in Education (SBIE 2017), Recife, Pernambuco, Brazilian Computer Society - SBC, (2017)An Empirical Comparison of Question Classification Methods for Question Answering Systems., , , , , and . LREC, page 5408-5416. European Language Resources Association, (2020)When, Where, Who, What or Why? A Hybrid Model to Question Answering Systems., , and . PROPOR, volume 11122 of Lecture Notes in Computer Science, page 136-146. Springer, (2018)MRR: an unsupervised algorithm to rank reviews by relevance., , , and . WI, page 877-883. ACM, (2017)Towards a Novel Benchmark for Automatic Generation of ClaimReview Markup., , , , , and . WebSci, page 29-35. ACM, (2021)An Initial Investigation of the Charlson Comorbidity Index Regression Based on Clinical Notes., , , and . CBMS, page 6-11. IEEE Computer Society, (2018)