Results 11 to 20 of about 651,687 (315)
Unsupervised Evaluation of Interactive Dialog with DialoGPT [PDF]
SIGDIAL Conferences, 2020 It is important to define meaningful and interpretable automatic evaluation metrics for open-domain dialog research. Standard language generation metrics have been shown to be ineffective for dialog.
Shikib Mehri, M. Eskénazi
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Цифровая социология, 2022 This study examines the role of social and network resources in building dialogue with citizens on the example of subjects of the Central Federal District of regional government bodies.
V. V. Zotov, A. V. Gubanov
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Information support of public administration in the field of the knowledge economy and post
Путеводитель предпринимателя, 2021 The issue of information support for public administration has always been very acute and, obviously, will never leave the category of topical. By solving it, active integration of advanced scientific and technological achievements into the provision of ...
V. V. Nikishin
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Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 Recently, pre-training methods have shown remarkable success in task-oriented dialog (TOD) systems. However, most existing pre-trained models for TOD focus on either dialog understanding or dialog generation, but not both. In this paper, we propose SPACE,
Wanwei He +6 more
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UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2 [PDF]
AAAI Conference on Artificial Intelligence, 2020 This paper presents our task-oriented dialog system UBAR which models task-oriented dialogs on a dialog session level. Specifically, UBAR is acquired by fine-tuning the large pre-trained unidirectional language model GPT-2 on the sequence of the entire ...
Yunyi Yang, Yunhao Li, Xiaojun Quan
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Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders [PDF]
Annual Meeting of the Association for Computational Linguistics, 2017 While recent neural encoder-decoder models have shown great promise in modeling open-domain conversations, they often generate dull and generic responses.
Tiancheng Zhao, Ran Zhao, M. Eskénazi
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Few-shot Natural Language Generation for Task-Oriented Dialog [PDF]
Findings, 2020 As a crucial component in task-oriented dialog systems, the Natural Language Generation (NLG) module converts a dialog act represented in a semantic form into a response in natural language. The success of traditional template-based or statistical models
Baolin Peng +6 more
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TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 2022 This article analyses the ethical debate over the use of lethal autonomous weapon systems (LAWS) by exploring, from a Catholic perspective, how Christian ethics can position itself in this discussion. Since humanity will not be able to avoid wars in the
Elmar Nass
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A Comprehensive Assessment of Dialog Evaluation Metrics [PDF]
EANCS, 2021 Automatic evaluation metrics are a crucial component of dialog systems research. Standard language evaluation metrics are known to be ineffective for evaluating dialog. As such, recent research has proposed a number of novel, dialog-specific metrics that
Yi-Ting Yeh, M. Eskénazi, Shikib Mehri
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Towards Knowledge-Based Recommender Dialog System [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 In this paper, we propose a novel end-to-end framework called KBRD, which stands for Knowledge-Based Recommender Dialog System. It integrates the recommender system and the dialog generation system.
Qibin Chen +6 more
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