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Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States.

, , , , и . EMNLP (Findings), стр. 288-301. Association for Computational Linguistics, (2021)

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Tejas Borwankar

 

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Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets., и . CoRR, (2020)IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol., и . W-NUT@EMNLP, стр. 268-272. Association for Computational Linguistics, (2020)Hostility Detection in Hindi Leveraging Pre-trained Language Models., , и . CONSTRAINT@AAAI, том 1402 из Communications in Computer and Information Science, стр. 213-223. Springer, (2021)Logical Fallacy Detection., , , , , , , , и . EMNLP (Findings), стр. 7180-7198. Association for Computational Linguistics, (2022)Domain specific BERT representation for Named Entity Recognition of lab protocol., и . CoRR, (2020)Spanish Pre-Trained Language Models for HealthCare Industry., и . IberLEF@SEPLN, том 2943 из CEUR Workshop Proceedings, стр. 796-802. CEUR-WS.org, (2021)Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets., и . W-NUT@EMNLP, стр. 522-529. Association for Computational Linguistics, (2020)Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP., , , , , , и . EMNLP (1), стр. 9499-9513. Association for Computational Linguistics, (2021)Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States., , , , и . EMNLP (Findings), стр. 288-301. Association for Computational Linguistics, (2021)Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models., , , , и . CoRR, (2024)