Natural Language Processing with Commonsense Knowledge: A Survey

Commonsense knowledge is essential for advancing natural language processing (NLP) by enabling models to engage in human-like reasoning, which requires a deeper understanding of context and often involves making inferences based on implicit external knowledge. This paper explores the integration of...

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Bibliographic Details
Published in:arXiv.org 2024-09
Main Authors: Xie, Yubo, Liu, Zonghui, Ma, Zongyang, Meng, Fanyuan, Xiao, Yan, Miao, Fahui, Pu, Pearl
Format: Article
Language:English
Subjects:
Knowledge bases (artificial intelligence)
Natural language processing
Reasoning
Online Access:Get full text
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Summary:Commonsense knowledge is essential for advancing natural language processing (NLP) by enabling models to engage in human-like reasoning, which requires a deeper understanding of context and often involves making inferences based on implicit external knowledge. This paper explores the integration of commonsense knowledge into various NLP tasks. We begin by reviewing prominent commonsense knowledge bases and then discuss the benchmarks used to evaluate the commonsense reasoning capabilities of NLP models, particularly language models. Furthermore, we highlight key methodologies for incorporating commonsense knowledge and their applications across different NLP tasks. The paper also examines the challenges and emerging trends in enhancing NLP systems with commonsense reasoning. All literature referenced in this survey can be accessed via our GitHub repository: https://github.com/yuboxie/awesome-commonsense.
ISSN:2331-8422