Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach

Shafiq Joty, Muhammad Tasnim Mohiuddin, Dat Tien Nguyen


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.
Anthology ID:
P18-1052
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
558–568
Language:
URL:
https://aclanthology.org/P18-1052
DOI:
10.18653/v1/P18-1052
Bibkey:
Cite (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.
Cite (Informal):
Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach (Joty et al., ACL 2018)
Copy Citation:
PDF:
https://aclanthology.org/P18-1052.pdf
Note:
 P18-1052.Notes.pdf
Poster:
 P18-1052.Poster.pdf