EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data
Augmentation for Multi-hop Fact Verification

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification

23 October 2023

Yulan He

Papers citing "EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification"

7 / 7 papers shown

Title
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? Qisheng Hu Quanyu Long Wenya Wang 42 4 0 17 Oct 2024
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification Jiasheng Si Yingjie Zhu Deyu Zhou AAML 24 3 0 16 May 2023
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation Phillip Howard Gadi Singer Vasudev Lal Yejin Choi Swabha Swayamdipta CML 48 25 0 22 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation Tanay Dixit Bhargavi Paranjape Hannaneh Hajishirzi Luke Zettlemoyer SyDa 133 23 0 10 Oct 2022
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models Minwoo Lee Seungpil Won Juae Kim Hwanhee Lee Cheoneum Park Kyomin Jung 36 29 0 30 Sep 2021
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 216 247 0 19 Oct 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 199 1,638 0 16 Mar 2020