Papers Counterfactual Detection
“Counterfactual Detection” 태그가 달린 논문 8편 · 필터 해제
Topic-aware Causal Intervention for Counterfactual Detection
Counterfactual statements, which describe events that did not or cannot take place, are beneficial to numerous NLP applications. Hence, we consider the problem of counterfactual detection (CFD) and seek to enhance the CF…
counterfactualCounterfactual DetectionI Wish I Would Have Loved This One, But I Didn’t – A Multilingual Dataset for Counterfactual Detection in Product Review
Counterfactual statements describe events that did not or cannot take place. We consider the problem of counterfactual detection (CFD) in product reviews. For this purpose, we annotate a multilingual CFD dataset from Ama…
counterfactualCounterfactual DetectionMachine TranslationSentence+2I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews
Counterfactual statements describe events that did not or cannot take place. We consider the problem of counterfactual detection (CFD) in product reviews. For this purpose, we annotate a multilingual CFD dataset from Ama…
counterfactualCounterfactual DetectionMachine TranslationSentence+2Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals
The main purpose of this article is to state the effect of using different methods and models for counterfactual determination and detection of causal knowledge. Nowadays, counterfactual reasoning has been widely used in…
counterfactualCounterfactual DetectionCounterfactual ReasoningSentenceETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning inLanguage using neuro-symbolic cloud computing
Experimental Testing of Hybrid AI Node implemented entirely on free cloud computing infrastructure. The ultimate goal of this research is to create modular reusable hybrid neuro-symbolic architecture for Artificial Intel…
Cloud ComputingCounterfactual DetectionLanguage ModelingLanguage ModellingSemEval-2020 Task 5: Counterfactual Recognition
We present a counterfactual recognition (CR) task, the shared Task 5 of SemEval-2020. Counterfactuals describe potential outcomes (consequents) produced by actions or circumstances that did not happen or cannot happen an…
counterfactualCounterfactual DetectionCounterfactual InferenceSentenceCNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection
In this paper, we describe an approach for modelling causal reasoning in natural language by detecting counterfactuals in text using multi-head self-attention weights. We use pre-trained transformer models to extract con…
counterfactualCounterfactual DetectionCounterfactual Detection meets Transfer Learning
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 detec…
Binary ClassificationcounterfactualCounterfactual DetectionGeneral Classification+4