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MADNet: Maximizing Addressee Deduction Expectation for Multi-Party
  Conversation Generation
v1v2 (latest)

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
22 May 2023
Jia-Chen Gu
Chao-Hong Tan
Caiyuan Chu
Zhen-Hua Ling
Chongyang Tao
Quan Liu
Cong Liu
ArXiv (abs)PDFHTML

Papers citing "MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation"

4 / 4 papers shown
Title
Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions
Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Jihyoung Jang
Minwook Bae
Minji Kim
Dilek Z. Hakkani-Tür
Hyounghun Kim
151
1
0
31 May 2025
SS-MPC: A Sequence-Structured Multi-Party Conversation System
SS-MPC: A Sequence-Structured Multi-Party Conversation System
Yoonjin Jang
Keunha Kim
Youngjoong Ko
146
0
0
24 Feb 2025
Advancing Multi-Party Dialogue Framework with Speaker-ware Contrastive Learning
Advancing Multi-Party Dialogue Framework with Speaker-ware Contrastive Learning
Zhongtian Hu
Qi He
Ronghan Li
Meng Zhao
Lifang Wang
179
0
0
20 Jan 2025
Mixed-Session Conversation with Egocentric Memory
Mixed-Session Conversation with Egocentric MemoryConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Jihyoung Jang
Taeyoung Kim
Hyounghun Kim
103
2
0
03 Oct 2024
1