Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training

18 August 2022

Papers citing "Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training"

11 / 11 papers shown

Title
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models Christopher Schröder Gerhard Heyer VLM 44 0 0 13 Jun 2024
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification Xia Zeng A. Zubiaga 43 5 0 29 Jan 2024
QA-NatVer: Question Answering for Natural Logic-based Fact Verification Rami Aly Marek Strong Andreas Vlachos 32 6 0 22 Oct 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 31 11 0 21 May 2023
Check-worthy Claim Detection across Topics for Automated Fact-checking Amani S. Abumansour A. Zubiaga 16 5 0 16 Dec 2022
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification Neema Kotonya Thomas Spooner Daniele Magazzeni Francesca Toni 35 13 0 25 Sep 2021
Automated Fact-Checking: A Survey Xia Zeng Amani S. Abumansour A. Zubiaga HILM 180 95 0 23 Sep 2021
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 218 248 0 19 Oct 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 246 4,489 0 23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020