Counterfactual Detection

5 papers with code • 2 benchmarks • 1 datasets

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Most implemented papers

Counterfactual Detection meets Transfer Learning

Kc2fresh/Extracting-Counterfactual-data 27 May 2020

We can consider Counterfactuals as belonging in the domain of Discourse structure and semantics, A core area in Natural Language Understanding and in this paper, we introduce an approach to resolving counterfactual detection as well as the indexing of the antecedents and consequents of Counterfactual statements.

SemEval-2020 Task 5: Counterfactual Recognition

lenyabloko/SemEval2020 SEMEVAL 2020

Subtask-1 aims to determine whether a given sentence is a counterfactual statement or not.

ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning inLanguage using neuro-symbolic cloud computing

lenyabloko/SemEval2020 COLING 2020

The ultimate goal of this research is to create modular reusable hybrid neuro-symbolic architecture for Artificial Intelligence.