Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse

5 March 2024

Papers citing "Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse"

8 / 8 papers shown

Title
The State of Human-centered NLP Technology for Fact-checking Anubrata Das Houjiang Liu Venelin Kovatchev Matthew Lease HILM 96 64 0 08 Jan 2023
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations Emily Allaway Kathleen McKeown 58 180 0 07 Oct 2020
A Benchmark Dataset of Check-worthy Factual Claims Fatma Arslan Naeemul Hassan Chengkai Li Mark Tremayne HILM 51 66 0 29 Apr 2020
BERT for Evidence Retrieval and Claim Verification Shrishti Saha Shetu Christof Monz E. Mabande RALM 67 125 0 07 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 582 24,422 0 26 Jul 2019
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning Kashyap Popat Subhabrata Mukherjee Andrew Yates Gerhard Weikum HILM 75 304 0 17 Sep 2018
Lessons from Natural Language Inference in the Clinical Domain Alexey Romanov Chaitanya P. Shivade LM&MA 64 272 0 21 Aug 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 134 1,650 0 14 Mar 2018