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  4. The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning
 
conference paper

The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning

Cui, Shaobo  
•
Jin, Zhijing
•
Bernhard Schölkopf
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November 16, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
The 2024 Conference on Empirical Methods in Natural Language Processing

Understanding commonsense causality is a unique mark of intelligence for humans. It helps people understand the principles of the real world better and benefits the decisionmaking process related to causation. For instance, commonsense causality is crucial in judging whether a defendant's action causes the plaintiff's loss in determining legal liability. Despite its significance, a systematic exploration of this topic is notably lacking. Our comprehensive survey bridges this gap by focusing on taxonomies, benchmarks, acquisition methods, qualitative reasoning, and quantitative measurements in commonsense causality, synthesizing insights from over 200 representative articles. Our work aims to provide a systematic overview, update scholars on recent advancements, provide a pragmatic guide for beginners, and highlight promising future research directions in this vital field. A summary of the related literature is available at https://github. com/cui-shaobo/causality-papers .

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2024.emnlp-main.932.pdf

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Main Document

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Accepted version

Access type

openaccess

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CC BY

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2.82 MB

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Adobe PDF

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11dd94cff29e01354b1c119f1d81f9d9

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