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        <title>Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding</title>
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            <namePart type="given">Jiajun</namePart>
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    <abstract>Negation is a common and important semantic feature in natural language, yet Large Language Models (LLMs) struggle when negation is involved in natural language understanding tasks. Commonsense knowledge, on the other hand, despite being a well-studied topic, lacks investigations involving negation. In this work, we show that commonsense knowledge with negation is challenging for models to understand. We present a novel approach to automatically augment existing commonsense knowledge corpora with negation, yielding two new corpora containing over 2M triples with if-then relations. In addition, pre-training LLMs on our corpora benefits negation understanding.</abstract>
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%0 Conference Proceedings
%T Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding
%A Wang, Zijie
%A Rezaei, MohammadHossein
%A Rashid, Farzana
%A Blanco, Eduardo
%Y Liakata, Maria
%Y Moreira, Viviane P.
%Y Zhang, Jiajun
%Y Jurgens, David
%S Findings of the Association for Computational Linguistics: ACL 2026
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-395-1
%F wang-etal-2026-commonsense
%X Negation is a common and important semantic feature in natural language, yet Large Language Models (LLMs) struggle when negation is involved in natural language understanding tasks. Commonsense knowledge, on the other hand, despite being a well-studied topic, lacks investigations involving negation. In this work, we show that commonsense knowledge with negation is challenging for models to understand. We present a novel approach to automatically augment existing commonsense knowledge corpora with negation, yielding two new corpora containing over 2M triples with if-then relations. In addition, pre-training LLMs on our corpora benefits negation understanding.
%U https://aclanthology.org/2026.findings-acl.578/
%P 11915-11934

Markdown (Informal)

[Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding](https://aclanthology.org/2026.findings-acl.578/) (Wang et al., Findings 2026)

• Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding (Wang et al., Findings 2026)

ACL

• Zijie Wang, MohammadHossein Rezaei, Farzana Rashid, and Eduardo Blanco. 2026. Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding. In Findings of the Association for Computational Linguistics: ACL 2026, pages 11915–11934, San Diego, California, United States. Association for Computational Linguistics.