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Conversation Disentanglement

Automatic disentanglement could be used to provide more interpretable results when searching over chat logs, and to help users understand what is happening when they join a channel.

Source: Kummerfeld et al.

Papers

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Showing 1–12 of 12 papers

TitleStatusHype
DialBERT: A Hierarchical Pre-Trained Model for Conversation DisentanglementCode1
Dramatic Conversation DisentanglementCode0
Unsupervised Conversation Disentanglement through Co-TrainingCode0
A Large-Scale Corpus for Conversation DisentanglementCode0
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking—0
Online Conversation Disentanglement with Pointer Networks—0
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems—0
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus—0
You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement—0
Conversation Disentanglement with Bi-Level Contrastive Learning—0
Disentangling Online Chats with DAG-Structured LSTMs—0
Findings on Conversation Disentanglement—0
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