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Accenture at CheckThat! 2021: Interesting claim identification and
  ranking with contextually sensitive lexical training data augmentation

Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation

12 July 2021
Evan Williams
Paul Rodrigues
Sieu Tran
ArXivPDFHTML

Papers citing "Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation"

4 / 4 papers shown
Title
Claim Detection for Automated Fact-checking: A Survey on Monolingual,
  Multilingual and Cross-Lingual Research
Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research
Rrubaa Panchendrarajan
A. Zubiaga
HILM
27
15
0
22 Jan 2024
Data Augmentation using Transformers and Similarity Measures for
  Improving Arabic Text Classification
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification
Dania Refai
Saleh Abu-Soud
Mohammad J. Abdel-Rahman
40
12
0
28 Dec 2022
Check-worthy Claim Detection across Topics for Automated Fact-checking
Check-worthy Claim Detection across Topics for Automated Fact-checking
Amani S. Abumansour
A. Zubiaga
16
5
0
16 Dec 2022
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy
  Claims, Previously Fact-Checked Claims, and Fake News
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov
Giovanni Da San Martino
Tamer Elsayed
Alberto Barrón-Cedeño
Rubén Míguez
...
Gautam Kishore Shahi
Julia Maria Struß
Thomas Mandl
Mucahid Kutlu
Yavuz Selim Kartal
79
92
0
23 Sep 2021
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