Entailment recognition approaches are useful for application domains such as information extraction, question answering or summarisation, for which evidence ...

Entailment recognition approaches are useful for application domains such as information extraction, question answering or summarisation, for which evidence ...

A new 3-way judgement Recognizing Textual Entailment (RTE) resource that originates in the Social Media domain is reported on, and a semi-automatic creation ...

Monolingual Social Media Datasets for Detecting Contradiction and Entailment. Proc. of LREC 2016. Pheme RTE dataset. Temporal models of events. Code for ...

Monolingual Social Media Datasets for Detecting Contradiction and Entailment · no code implementations • LREC 2016 • Piroska Lendvai, Isabelle Augenstein ...

Co-authors ; Monolingual social media datasets for detecting contradiction and entailment. P Lendvai, I Augenstein, K Bontcheva, T Declerck. Proceedings of the ...

Apr 12, 2016 · The PHEME RTE dataset is compiled based on naturally occurring contradiction in manually labeled claims in tweets related to crisis events, and ...

Monolingual social media datasets for detecting contradiction and entailment · Saarland University · University of Sheffield. Reino Unido.

In this work, we introduce \methodnosp, the first human-annotated dataset to study self-contradictions in long documents across multiple domains, varying ...

Jun 26, 2024 · Abstract. This paper introduces DACCORD, an original dataset in French for automatic detection of contradictions between sentences.