Who did They Respond to? Conversation Structure Modeling using Masked
Hierarchical Transformer

Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer

25 November 2019

Ramesh Nallapati

Papers citing "Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer"

12 / 12 papers shown

Title
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums Kazuaki Kashihara Kuntal Kumar Pal Chitta Baral Robert P. Trevino 21 1 0 05 Mar 2023
Conversation Disentanglement with Bi-Level Contrastive Learning Chengyu Huang Zheng Zhang Hao Fei Lizi Liao DRL 33 7 0 27 Oct 2022
Learning Locality and Isotropy in Dialogue Modeling Han Wu Hao Hao Tan Mingjie Zhan Gangming Zhao Shaoqing Lu Ding Liang Linqi Song 39 2 0 29 May 2022
Findings on Conversation Disentanglement Rongxin Zhu Jey Han Lau Jianzhong Qi 19 7 0 10 Dec 2021
Structural Characterization for Dialogue Disentanglement Xinbei Ma Zhuosheng Zhang Hai Zhao 16 16 0 15 Oct 2021
Unsupervised Conversation Disentanglement through Co-Training Hui Liu Zhan Shi Xiao-Dan Zhu 29 24 0 07 Sep 2021
Disentangling Online Chats with DAG-Structured LSTMs D. Pappadopulo Lisa Bauer M. Farina Ozan Irsoy Joey Tianyi Zhou 23 5 0 16 Jun 2021
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues Hung Le Nancy F. Chen Guosheng Lin 36 14 0 01 Mar 2021
Online Conversation Disentanglement with Pointer Networks Tao Yu Chenyu You 3DV 11 34 0 21 Oct 2020
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization Jiaao Chen Diyi Yang 27 143 0 04 Oct 2020
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement Tianda Li Jia-Chen Gu Xiao-Dan Zhu Quan Liu Zhenhua Ling Zhiming Su Si Wei 29 27 0 08 Apr 2020
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016