The contribution of this work is two-fold: 1) We propose context-aware deep learning models for thread detection and it advances the state-ofthe-art; 2) Based on the dataset in<cite> (Jiang et al., 2018)</cite> , we develop and release a more realistic multi-party multi-thread conversation dataset for future research.