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- W3102296970 abstract "In this paper, we present IIITBH team’s effort to solve the second shared task of the 6th Workshop on Noisy User-generated Text (W-NUT)i.e Identification of informative COVID-19 English Tweets. The central theme of the task is to develop a system that automatically identify whether an English Tweet related to the novel coronavirus (COVID-19) is Informative or not. Our approach is based on exploiting semantic information from both max pooling and average pooling, to this end we propose two models." @default.
- W3102296970 created "2020-11-23" @default.
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- W3102296970 date "2020-01-01" @default.
- W3102296970 modified "2023-10-17" @default.
- W3102296970 title "IIITBH at WNUT-2020 Task 2: Exploiting the best of both worlds" @default.
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- W3102296970 doi "https://doi.org/10.18653/v1/2020.wnut-1.46" @default.
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