[PDF][PDF] Who Says What to Whom: A Survey of Multi-Party Conversations.

JC Gu, C Tao, ZH Ling - IJCAI, 2022 - ijcai.org
Multi-party conversations (MPCs) are a more practical and challenging scenario involving
more than two interlocutors. This research topic has drawn significant attention from both …

Response selection for multi-party conversations with dynamic topic tracking

W Wang, S Joty, SCH Hoi - arXiv preprint arXiv:2010.07785, 2020 - arxiv.org
While participants in a multi-party multi-turn conversation simultaneously engage in multiple
conversation topics, existing response selection methods are developed mainly focusing on …

Online conversation disentanglement with pointer networks

T Yu, S Joty - arXiv preprint arXiv:2010.11080, 2020 - arxiv.org
Huge amounts of textual conversations occur online every day, where multiple
conversations take place concurrently. Interleaved conversations lead to difficulties in not …

Unsupervised conversation disentanglement through co-training

H Liu, Z Shi, X Zhu - arXiv preprint arXiv:2109.03199, 2021 - arxiv.org
Conversation disentanglement aims to separate intermingled messages into detached
sessions, which is a fundamental task in understanding multi-party conversations. Existing …

Structured dialogue discourse parsing

TC Chi, AI Rudnicky - arXiv preprint arXiv:2306.15103, 2023 - arxiv.org
Dialogue discourse parsing aims to uncover the internal structure of a multi-participant
conversation by finding all the discourse~\emph {links} and corresponding~\emph …

Automating discussion structure re-organization for GitHub issues

S Bai, L Liu, C Meng, H Liu - Expert Systems with Applications, 2023 - Elsevier
As a popular social code hosting platform, GitHub encourages developers to discuss and
leave opinions on issues. However, the linear format of GitHub issue discussions makes …

Core-sets for fair and diverse data summarization

S Mahabadi, S Trajanovski - Advances in Neural …, 2024 - proceedings.neurips.cc
We study core-set construction algorithms for the task of Diversity Maximization under
fairness/partition constraint. Given a set of points $ P $ in a metric space partitioned into $ m …

Mmpose: Movie-induced multi-label positive emotion classification through eeg signals

X Du, X Deng, H Qin, Y Shu, F Liu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Emotional information plays an important role in various multimedia applications. Movies, as
a widely available form of multimedia content, can induce multiple positive emotions and …

Conversation disentanglement with bi-level contrastive learning

C Huang, Z Zhang, H Fei, L Liao - arXiv preprint arXiv:2210.15265, 2022 - arxiv.org
Conversation disentanglement aims to group utterances into detached sessions, which is a
fundamental task in processing multi-party conversations. Existing methods have two main …

Dialbert: A hierarchical pre-trained model for conversation disentanglement

T Li, JC Gu, X Zhu, Q Liu, ZH Ling, Z Su… - arXiv preprint arXiv …, 2020 - arxiv.org
Disentanglement is a problem in which multiple conversations occur in the same channel
simultaneously, and the listener should decide which utterance is part of the conversation he …