We design a multi-classifier system TATHYA, that models latent groupings in data and improves state-of-art systems in detecting check-worthy statements.

Our system Tathya outperforms the current state-of-the- art ClaimBuster 4 [7, 8] by 19.5% in F1-score on a held-out-set of 4 presidential debates in classifying ...

We design a multi-classifier system Tathya 1, that models latent groupings in data and improves state-of-art systems in detecting check-worthy statements by ...

We design a multi-classifier system TATHYA, that models latent groupings in data and improves state-of-art systems in detecting check-worthy statements by 19.5% ...

TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates · Computer Science, Political Science. CIKM · 2017.

Tathya: A multi-classifier system for detecting check-worthy statements in political debates. A Patwari, D Goldwasser, S Bagchi. Proceedings of the 2017 ACM ...

Jul 18, 2023 · TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates. Proceedings of the 2017 ACM on Conference on ...

2017. Tathya: A multi-classifier system for detecting check-worthy state- ments in political debates. In CIKM, 2259–2262.

TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates. Conference Paper. Nov 2017. Ayush Patwari · Dan ...

TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates · Ayush PatwariDan GoldwasserS. Bagchi. Computer Science ...