The State of Human-centered NLP Technology for Fact-checking

The State of Human-centered NLP Technology for Fact-checking

8 January 2023

Venelin Kovatchev

Matthew Lease

Papers citing "The State of Human-centered NLP Technology for Fact-checking"

11 / 11 papers shown

Title
Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation SeongYeub Chu JongWoo Kim MunYong Yi 53 1 0 21 Feb 2025
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 159 86 0 06 Dec 2021
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims Tamer Elsayed Preslav Nakov Alberto Barrón-Cedeño Maram Hasanain Reem Suwaileh Giovanni Da San Martino Preslav Nakov 51 109 0 25 Sep 2021
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification Neema Kotonya Thomas Spooner Daniele Magazzeni Francesca Toni 25 13 0 25 Sep 2021
Automated Fact-Checking: A Survey Xia Zeng Amani S. Abumansour A. Zubiaga HILM 164 94 0 23 Sep 2021
The Case for Claim Difficulty Assessment in Automatic Fact Checking Prakhar Singh Anubrata Das J. Li Matthew Lease 19 10 0 20 Sep 2021
Decision-Focused Summarization Chao-Chun Hsu Chenhao Tan 18 16 0 14 Sep 2021
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document Shaden Shaar Nikola Georgiev Firoj Alam Giovanni Da San Martino Aisha Mohamed Preslav Nakov HILM 60 26 0 14 Sep 2021
A Survey on Stance Detection for Mis- and Disinformation Identification Momchil Hardalov Arnav Arora Preslav Nakov Isabelle Augenstein 109 132 0 27 Feb 2021
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 202 247 0 19 Oct 2020
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale Yixin Nie Songhe Wang Mohit Bansal RALM 151 134 0 17 Sep 2019