SemEval 2020 Task 5

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task ID: semeval2020task5

Related Papers

IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into their constituent elements. …...

24603

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is based on pretrained transformers. For …...

24574

YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the system and results of our team’s participation in SemEval-2020 Task5: Modelling Causal Reasoning in Language: Detecting Counterfactuals, which aims to simulate counterfactual semantics and reasoning in …...

24571

Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper, we explore strategies to detect and evaluate counterfactual sentences. We describe our system for SemEval-2020 Task 5: Modeling Causal Reasoning in Language: Detecting Counterfactuals. We use a …...

24602