mlsanityData to 14 Oct 2026

Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach

arXiv 1805.02275 ↗First posted 6 May 2018cs.CLcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 May 2018.

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Citing papers per year: 2021: 5; 2022: 1; 2023: 5; 2024: 1; 2025: 1; 2026: 1.

14 papers.

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