Response Selection for Multi-Party Conversations with Dynamic Topic Tracking

15 October 2020

Papers citing "Response Selection for Multi-Party Conversations with Dynamic Topic Tracking"

10 / 10 papers shown

Title
Advancing Multi-Party Dialogue Framework with Speaker-ware Contrastive Learning Zhongtian Hu Qi He Ronghan Li Meng Zhao Lifang Wang 34 0 0 20 Jan 2025
EM Pre-training for Multi-party Dialogue Response Generation Yiyang Li Hai Zhao 34 11 0 21 May 2023
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding Jia-Chen Gu Zhen-Hua Ling Quan Liu Cong Liu Guoping Hu 22 8 0 16 May 2023
Conversation Disentanglement with Bi-Level Contrastive Learning Chengyu Huang Zheng Zhang Hao Fei Lizi Liao DRL 33 7 0 27 Oct 2022
Structural Characterization for Dialogue Disentanglement Xinbei Ma ZhuoSheng Zhang Hai Zhao 16 16 0 15 Oct 2021
Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension Xinbei Ma ZhuoSheng Zhang Hai Zhao 35 24 0 09 Sep 2021
Unsupervised Conversation Disentanglement through Co-Training Hui Liu Zhan Shi Xiao-Dan Zhu 34 24 0 07 Sep 2021
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring Linzi Xing Giuseppe Carenini 19 40 0 12 Jun 2021
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding Jia-Chen Gu Chongyang Tao Zhenhua Ling Can Xu Xiubo Geng Daxin Jiang 21 53 0 03 Jun 2021
Online Conversation Disentanglement with Pointer Networks Tao Yu Shafiq Joty 3DV 19 34 0 21 Oct 2020