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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

Showing 110 of 12 papers

TitleStatusHype
Dramatic Conversation DisentanglementCode0
Conversation Disentanglement with Bi-Level Contrastive Learning0
Findings on Conversation Disentanglement0
Unsupervised Conversation Disentanglement through Co-TrainingCode0
Disentangling Online Chats with DAG-Structured LSTMs0
Online Conversation Disentanglement with Pointer Networks0
DialBERT: A Hierarchical Pre-Trained Model for Conversation DisentanglementCode1
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems0
A Large-Scale Corpus for Conversation DisentanglementCode0
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking0
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