Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection

Yang Deng, Wenxuan Zhang, Wai Lam

Abstract
Multi-turn response selection has been extensively studied and applied to many real-world applications in recent years. However, current methods typically model the interactions between multi-turn utterances and candidate responses with iterative approaches, which is not practical as the turns of conversations vary. Besides, some latent features, such as user intent and conversation topic, are under-discovered in existing works. In this work, we propose Intra-/Inter-Interaction Network (I3) with latent interaction modeling to comprehensively model multi-level interactions between the utterance context and the response. In specific, we first encode the intra- and inter-utterance interaction with the given response from both individual utterance and the overall utterance context. Then we develop a latent multi-view subspace clustering module to model the latent interaction between the utterance and response. Experimental results show that the proposed method substantially and consistently outperforms existing state-of-the-art methods on three multi-turn response selection benchmark datasets.
Anthology ID:
2020.coling-main.437
Volume:
Proceedings of the 28th International Conference on Computational Linguistics
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Editors:
Donia Scott, Nuria Bel, Chengqing Zong
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
4981–4992
Language:
URL:
https://aclanthology.org/2020.coling-main.437
DOI:
10.18653/v1/2020.coling-main.437
Bibkey:
Cite (ACL):
Yang Deng, Wenxuan Zhang, and Wai Lam. 2020. Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4981–4992, Barcelona, Spain (Online). International Committee on Computational Linguistics.
Cite (Informal):
Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection (Deng et al., COLING 2020)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/2020.coling-main.437.pdf
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