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Conversation Disentanglement
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Conversation Disentanglement with Bi-Level Contrastive Learning
Findings on Conversation Disentanglement
Unsupervised Conversation Disentanglement through Co-Training
Disentangling Online Chats with DAG-Structured LSTMs
Online Conversation Disentanglement with Pointer Networks
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems
A Large-Scale Corpus for Conversation Disentanglement
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus
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