Papers with Code · CC BY-SA 4.0

Conversation Disentanglement

Dialogue › Conversation Disentanglement 11 평가 기록 3 datasets

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

A Large-Scale Corpus for Conversation Disentanglement

1810.11118 2018-10-25 이 페이지의 평가 5건

1-1: 59.7

You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement

2008-06-01 이 페이지의 평가 3건

1-1: 59.7Local: 80.8Shen F-1: 63.0

Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus

2017-01-01 이 페이지의 평가 2건

1-1: 43.4Local: 67.9Shen F-1: 50.7

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems

2004.01940 2020-04-04 이 페이지의 평가 1건

VI: 93.3P: 44.3R: 49.6F: 46.8