Causal Inference of Script Knowledge
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Abstract (arXiv)
When does a sequence of events define an everyday scenario and how can this knowledge be induced from text? Prior works in inducing such scripts have relied on, in one form or another, measures of correlation between instances of events in a corpus. We argue from both a conceptual and practical sense that a purely correlation-based approach is insufficient, and instead propose an approach to script induction based on the causal effect between events, formally defined via interventions. Through both human and automatic evaluations, we show that the output of our method based on causal effects better matches the intuition of what a script represents
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2020.
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Citing papers per year: 2021: 5; 2022: 4; 2023: 7; 2024: 1.
17 papers.
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- 2022A Causal Lens for Controllable Text Generationcited by 45
- 2021The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Predictioncited by 39
- 2022Neuro-Symbolic Procedural Planning with Commonsense Promptingcited by 28
- 2021What is Event Knowledge Graph: A Surveycited by 19
- 2021Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysiscited by 14
- 2024Discovering and Reasoning of Causality in the Hidden World with Large Language Modelscited by 10
- 2022Zero-Shot On-the-Fly Event Schema Inductioncited by 9
- 2023Causality-aware Concept Extraction based on Knowledge-guided Promptingcited by 8
- 2021Machine-Assisted Script Curationcited by 4
- 2022Schema-Guided Event Graph Completioncited by 4
- 2023Open-Domain Event Graph Induction for Mitigating Framing Biascited by 3
- 2023Do large language models and humans have similar behaviors in causal inference with script knowledge?cited by 3
5 more
- 2023NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Mediacited by 2
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentencescited by 2
- 2021Human Schema Curation via Causal Association Rule Miningcited by 0
- 2023Multi-class Categorization of Reasons behind Mental Disturbance in Long Textscited by 0
- 2023MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Schemecited by 0
- 2024Discovering and Reasoning of Causality in the Hidden World with Large Language Models6 Feb 2024
- 2023Do large language models and humans have similar behaviors in causal inference with script knowledge?13 Nov 2023
- 2023MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme13 Sep 2023
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentences24 May 2023
- 2023Open-Domain Event Graph Induction for Mitigating Framing Bias22 May 2023
- 2023Causality-aware Concept Extraction based on Knowledge-guided Prompting3 May 2023
- 2023Multi-class Categorization of Reasons behind Mental Disturbance in Long Texts8 Apr 2023
- 2023NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Media26 Jan 2023
- 2022Zero-Shot On-the-Fly Event Schema Induction12 Oct 2022
- 2022Neuro-Symbolic Procedural Planning with Commonsense Prompting6 Jun 2022
- 2022Schema-Guided Event Graph Completion6 Jun 2022
- 2022A Causal Lens for Controllable Text Generation22 Jan 2022
5 more
- 2021What is Event Knowledge Graph: A Survey31 Dec 2021
- 2021Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis19 Apr 2021
- 2021Human Schema Curation via Causal Association Rule Mining18 Apr 2021
- 2021The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction13 Apr 2021
- 2021Machine-Assisted Script Curation14 Jan 2021
- 2022A Causal Lens for Controllable Text Generationcited by 45
- 2021The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Predictioncited by 39
- 2022Neuro-Symbolic Procedural Planning with Commonsense Promptingcited by 28
- 2021What is Event Knowledge Graph: A Surveycited by 19
- 2021Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysiscited by 14
- 2022Zero-Shot On-the-Fly Event Schema Inductioncited by 9
- 2023Causality-aware Concept Extraction based on Knowledge-guided Promptingcited by 8
- 2021Machine-Assisted Script Curationcited by 4
- 2022Schema-Guided Event Graph Completioncited by 4
- 2023Open-Domain Event Graph Induction for Mitigating Framing Biascited by 3
- 2023NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Mediacited by 2
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentencescited by 2
12 most cited of 15 All 15 (JSON)
- 2023MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme13 Sep 2023
- 2023COMET-M: Reasoning about Multiple Events in Complex Sentences24 May 2023
- 2023Open-Domain Event Graph Induction for Mitigating Framing Bias22 May 2023
- 2023Causality-aware Concept Extraction based on Knowledge-guided Prompting3 May 2023
- 2023Multi-class Categorization of Reasons behind Mental Disturbance in Long Texts8 Apr 2023
- 2023NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Media26 Jan 2023
- 2022Zero-Shot On-the-Fly Event Schema Induction12 Oct 2022
- 2022Neuro-Symbolic Procedural Planning with Commonsense Prompting6 Jun 2022
- 2022Schema-Guided Event Graph Completion6 Jun 2022
- 2022A Causal Lens for Controllable Text Generation22 Jan 2022
- 2021What is Event Knowledge Graph: A Survey31 Dec 2021
- 2021Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis19 Apr 2021
12 newest of 15 All 15 (JSON)