Pretraining the noisy channel model for task-oriented dialogue

Q Liu, L Yu, L Rimell, P Blunsom - Transactions of the Association for …, 2021 - direct.mit.edu
Direct decoding for task-oriented dialogue is known to suffer from the explaining-away effect,
manifested in models that prefer short and generic responses. Here we argue for the use of …

Dialog Acts for Task-Driven Embodied Agents

S Gella, A Padmakumar, P Lange… - arxiv preprint arxiv …, 2022 - arxiv.org
Embodied agents need to be able to interact in natural language understanding task
descriptions and asking appropriate follow up questions to obtain necessary information to …

Quotation recommendation for multi-party online conversations based on semantic and topic fusion

L Wang, X Zeng, KF Wong - ACM Transactions on Information Systems, 2023 - dl.acm.org
Quotations are crucial for successful explanations and persuasions in interpersonal
communications. However, finding what to quote in a conversation is challenging for …

Modeling global and local interactions for online conversation recommendation

X Zeng, J Li, L Wang, KF Wong - ACM Transactions on Information …, 2021 - dl.acm.org
The popularity of social media platforms results in a huge volume of online conversations
produced every day. To help users better engage in online conversations, this article …

Information seeking in the spirit of learning: A dataset for conversational curiosity

P Rodriguez, P Crook, S Moon, Z Wang - arxiv preprint arxiv:2005.00172, 2020 - arxiv.org
Open-ended human learning and information-seeking are increasingly mediated by digital
assistants. However, such systems often ignore the user's pre-existing knowledge …

GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment

Y Liu, J Han, A Sboev, I Makarov - Expert Systems with Applications, 2024 - Elsevier
Assessing students' writing ability has always been an important component of research on
automatic essay evaluation. The existing methods usually focus on outputting numerical …

A background knowledge revising and incorporating dialogue model

X Zhao, X Feng, H Chen - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Currently, dialogue systems have attracted increasing research interest. In particular,
background knowledge is incorporated to improve the performance of dialogue systems …

I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue

Y Li, K Inoue, L Tian, C Fu, CT Ishi, H Ishiguro… - Extended Abstracts of …, 2023 - dl.acm.org
Current Spoken Dialogue Systems (SDSs) often serve as passive listeners that respond only
after receiving user speech. To achieve human-like dialogue, we propose a novel future …

Personality-aware natural language generation for task-oriented dialogue using reinforcement learning

A Guo, A Ohashi, Y Chiba, Y Tsunomori… - 2023 32nd IEEE …, 2023 - ieeexplore.ieee.org
A task-oriented dialogue system capable of expressing personality can improve user
engagement and satisfaction. To realize such a system, this paper presents a method of …

Successful new-entry prediction for multi-party online conversations via latent topics and discourse modeling

L Wang, J Li, X Zeng, KF Wong - … of the ACM Web Conference 2022, 2022 - dl.acm.org
With the increasing popularity of social media, online interpersonal communication now
plays an essential role in people's everyday information exchange. Whether and how a …