4.2 Article

Conversational AI for multi-agent communication in Natural Language Research directions at the Interaction Lab

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Proceedings Paper Computer Science, Information Systems

A Multi-Task Based Neural Model to Simulate Users in Goal-Oriented Dialogue Systems

To Eun Kim et al.

Summary: This paper proposes a deep learning-based user simulator that can predict users' satisfaction scores, actions, and utterances. The experimental results show that the proposed model achieves state-of-the-art performance in satisfaction score prediction and action prediction tasks, and the tasks can boost each other's performance through positive transfers.

PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22) (2022)

Proceedings Paper Computer Science, Artificial Intelligence

Towards Visual Dialogue for Human-Robot Interaction

Jose L. Part et al.

Summary: The goal of the SPRING project is to develop a socially pertinent robot for tasks in gerontological healthcare. The robot must be able to perceive its environment and have coherent conversations about the surrounding world. The described work has applications beyond healthcare and can be used on any robot that needs to interact with its visual and spatial environment.

HRI '21: COMPANION OF THE 2021 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (2021)

Article Computer Science, Artificial Intelligence

Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge

Ondrej Dusek et al.

COMPUTER SPEECH AND LANGUAGE (2020)

Proceedings Paper Computer Science, Artificial Intelligence

GuessWhat?! Visual object discovery through multi-modal dialogue

Harm de Vries et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Interdisciplinary Applications

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

Ioannis Konstas et al.

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1 (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Visual Dialog

Abhishek Das et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Artificial Intelligence

Adaptive Generation in Dialogue Systems Using Dynamic User Modeling

Srinivasan Janarthanam et al.

COMPUTATIONAL LINGUISTICS (2014)

Article Computer Science, Artificial Intelligence

Real user evaluation of a POMDP spoken dialogue system using automatic belief compression

Paul A. Crook et al.

COMPUTER SPEECH AND LANGUAGE (2014)

Article Acoustics

Natural Language Generation as Incremental Planning Under Uncertainty: Adaptive Information Presentation for Statistical Dialogue Systems

Verena Rieser et al.

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2014)

Article Computer Science, Artificial Intelligence

Machine Learning for Social Multiparty Human-Robot Interaction

Simon Keizer et al.

ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS (2014)

Review Computer Science, Artificial Intelligence

A survey on metrics for the evaluation of user simulations

Olivier Pietquin et al.

KNOWLEDGE ENGINEERING REVIEW (2013)

Review Engineering, Electrical & Electronic

POMDP-Based Statistical Spoken Dialog Systems: A Review

Steve Young et al.

PROCEEDINGS OF THE IEEE (2013)

Article Computer Science, Artificial Intelligence

Learning and Evaluation of Dialogue Strategies for New Applications: Empirical Methods for Optimization from Small Data Sets

Verena Rieser et al.

COMPUTATIONAL LINGUISTICS (2011)

Article Computer Science, Artificial Intelligence

Learning what to say and how to say it: Joint optimisation of spoken dialogue management and natural language generation

Oliver Lemon

COMPUTER SPEECH AND LANGUAGE (2011)

Article Computer Science, Artificial Intelligence

Does this list contain what you were searching for? Learning adaptive dialogue strategies for interactive question answering

V. Rieser et al.

NATURAL LANGUAGE ENGINEERING (2009)

Article Computer Science, Artificial Intelligence

Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets

James Henderson et al.

COMPUTATIONAL LINGUISTICS (2008)