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        <title>Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement</title>
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    <abstract>Memorizing and utilizing speakers’ personas is a common practice for response generation in long-term conversations. Yet, human-authored datasets often provide uninformative persona sentences that hinder response quality. This paper presents a novel framework that leverages commonsense-based persona expansion to address such issues in long-term conversation.While prior work focuses on not producing personas that contradict others, we focus on transforming contradictory personas into sentences that contain rich speaker information, by refining them based on their contextual backgrounds with designed strategies. As the pioneer of persona expansion in multi-session settings, our framework facilitates better response generation via human-like persona refinement. The supplementary video of our work is available at https://caffeine-15bbf.web.app/.</abstract>
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%0 Conference Proceedings
%T Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
%A Kim, Hana
%A Ong, Kai
%A Kim, Seoyeon
%A Lee, Dongha
%A Yeo, Jinyoung
%Y Graham, Yvette
%Y Purver, Matthew
%S Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julian’s, Malta
%F kim-etal-2024-commonsense
%X Memorizing and utilizing speakers’ personas is a common practice for response generation in long-term conversations. Yet, human-authored datasets often provide uninformative persona sentences that hinder response quality. This paper presents a novel framework that leverages commonsense-based persona expansion to address such issues in long-term conversation.While prior work focuses on not producing personas that contradict others, we focus on transforming contradictory personas into sentences that contain rich speaker information, by refining them based on their contextual backgrounds with designed strategies. As the pioneer of persona expansion in multi-session settings, our framework facilitates better response generation via human-like persona refinement. The supplementary video of our work is available at https://caffeine-15bbf.web.app/.
%U https://aclanthology.org/2024.eacl-short.11
%P 104-123

Markdown (Informal)

[Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement](https://aclanthology.org/2024.eacl-short.11) (Kim et al., EACL 2024)

• Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement (Kim et al., EACL 2024)

ACL

• Hana Kim, Kai Ong, Seoyeon Kim, Dongha Lee, and Jinyoung Yeo. 2024. Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 104–123, St. Julian’s, Malta. Association for Computational Linguistics.