Results 1 to 10 of about 651,687 (315)
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a question about the image, the agent has to ground the question in image, infer context from history, and answer the question accurately.
Abhishek Das, Deshraj, Stefan Lee
exaly +3 more sources
Towards Emotional Support Dialog Systems [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Emotional support is a crucial ability for many conversation scenarios, including social interactions, mental health support, and customer service chats.
Siyang Liu +7 more
semanticscholar +1 more source
Opportunities and Challenges in Neural Dialog Tutoring [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Designing dialog tutors has been challenging as it involves modeling the diverse and complex pedagogical strategies employed by human tutors. Although there have been significant recent advances in neural conversational systems using large language ...
Jakub Macina +6 more
semanticscholar +1 more source
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection [PDF]
AAAI Conference on Artificial Intelligence, 2021 Pre-trained models have proved to be powerful in enhancing task-oriented dialog systems. However, current pre-training methods mainly focus on enhancing dialog understanding and generation tasks while neglecting the exploitation of dialog policy. In this
Wanwei He +11 more
semanticscholar +1 more source
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 The lack of meaningful automatic evaluation metrics for dialog has impeded open-domain dialog research. Standard language generation metrics have been shown to be ineffective for evaluating dialog models.
Shikib Mehri, M. Eskénazi
semanticscholar +1 more source
Talk-to-Edit: Fine-Grained Facial Editing via Dialog [PDF]
IEEE International Conference on Computer Vision, 2021 Facial editing is an important task in vision and graphics with numerous applications. However, existing works are incapable to deliver a continuous and fine-grained editing mode (e.g., editing a slightly smiling face to a big laughing one) with natural ...
Yuming Jiang +4 more
semanticscholar +1 more source
Dialog Inpainting: Turning Documents into Dialogs [PDF]
International Conference on Machine Learning, 2022 Many important questions (e.g."How to eat healthier?") require conversation to establish context and explore in depth. However, conversational question answering (ConvQA) systems have long been stymied by scarce training data that is expensive to collect.
Zhuyun Dai +6 more
semanticscholar +1 more source
Bottom-Up Resilience: How Civic Bottom-Up Initiatives Contribute to Community Resilience
Yearbook of Swiss Administrative Sciences, 2023 Crises are part of our reality and, we need to learn how to not only cope with them but attempt to emerge even stronger. In addition to relevant approaches such as crisis management, resilience is a promising concept to deal with crises.
Kimon A. Arvanitis +2 more
doaj +1 more source
TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking [PDF]
SIGDIAL Conferences, 2020 Task-oriented dialog systems rely on dialog state tracking (DST) to monitor the user’s goal during the course of an interaction. Multi-domain and open-vocabulary settings complicate the task considerably and demand scalable solutions.
Michael Heck +6 more
semanticscholar +1 more source
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog [PDF]
arXiv.org, 2022 We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-trained language model for dialog. In contrast with earlier models such as DialoGPT, GODEL leverages a new phase of grounded pre-training designed to better support adapting GODEL to
Baolin Peng +8 more
semanticscholar +1 more source