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        <title>Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach</title>
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        <namePart type="given">Shafiq</namePart>
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    <name type="personal">
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        <namePart type="family">Tien Nguyen</namePart>
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        <dateIssued>2018-07</dateIssued>
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            <title>Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</title>
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        <name type="personal">
            <namePart type="given">Yusuke</namePart>
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    <abstract>We propose a novel coherence model for written asynchronous conversations (e.g., forums, emails), and show its applications in coherence assessment and thread reconstruction tasks. We conduct our research in two steps. First, we propose improvements to the recently proposed neural entity grid model by lexicalizing its entity transitions. Then, we extend the model to asynchronous conversations by incorporating the underlying conversational structure in the entity grid representation and feature computation. Our model achieves state of the art results on standard coherence assessment tasks in monologue and conversations outperforming existing models. We also demonstrate its effectiveness in reconstructing thread structures.</abstract>
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    <identifier type="doi">10.18653/v1/P18-1052</identifier>
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%0 Conference Proceedings
%T Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach
%A Joty, Shafiq
%A Mohiuddin, Muhammad Tasnim
%A Tien Nguyen, Dat
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F joty-etal-2018-coherence
%X We propose a novel coherence model for written asynchronous conversations (e.g., forums, emails), and show its applications in coherence assessment and thread reconstruction tasks. We conduct our research in two steps. First, we propose improvements to the recently proposed neural entity grid model by lexicalizing its entity transitions. Then, we extend the model to asynchronous conversations by incorporating the underlying conversational structure in the entity grid representation and feature computation. Our model achieves state of the art results on standard coherence assessment tasks in monologue and conversations outperforming existing models. We also demonstrate its effectiveness in reconstructing thread structures.
%R 10.18653/v1/P18-1052
%U https://aclanthology.org/P18-1052
%U https://doi.org/10.18653/v1/P18-1052
%P 558-568

Markdown (Informal)

[Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach](https://aclanthology.org/P18-1052) (Joty et al., ACL 2018)

• Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach (Joty et al., ACL 2018)

ACL

• Shafiq Joty, Muhammad Tasnim Mohiuddin, and Dat Tien Nguyen. 2018. Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 558–568, Melbourne, Australia. Association for Computational Linguistics.