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Celia Chen

2 accepted papers

2022

MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning

IJCAI 2022poster

The main goal of dialogue disentanglement is to separate the mixed utterances from a chat slice into independent dialogues. Existing models often utilize either an utterance-to-utterance (U2U) prediction to determine whether two utterances that have the “reply-to” relationship belong to one dialogue…

Cited by 2SourcePDFScholar
2021

Dialogue Disentanglement in Software Engineering: How Far are We?

IJCAI 2021poster

Despite the valuable information contained in software chat messages, disentangling them into distinct conversations is an essential prerequisite for any in-depth analyses that utilize this information. To provide a better understanding of the current state-of-the-art, we evaluate five popular dialo…