Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
In multi-party chat, it is common for multiple conversations to occur concurrently, leading to intermingled conversation threads in chat logs. In this work, we propose a novel Context-Aware Thread Detection (CATD) model that automatically disentangles these conversation threads. We evaluate our model on three real-world datasets and demonstrate an overall improvement in thread detection accuracy over state-of-the-art benchmarks.
Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
Kevin Gu, Eva Tuecke, et al.
ICML 2024
Hui Wan, Song Feng, et al.
NAACL 2021