Results 51 to 60 of about 679,813 (367)
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
, 2020 This work investigates the embeddings for representing dialog history in spoken language understanding (SLU) systems. We focus on the scenario when the semantic information is extracted directly from the speech signal by means of a single end-to-end ...
Caubriere, Antoine +4 more
core +3 more sources
ParlAI: A Dialog Research Software Platform [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 We introduce ParlAI (pronounced “par-lay”), an open-source software platform for dialog research implemented in Python, available at http://parl.ai. Its goal is to provide a unified framework for sharing, training and testing dialog models; integration ...
Alexander H. Miller +7 more
semanticscholar +1 more source
A proposal to manage multi-task dialogs in conversational interfaces
Advances in Distributed Computing and Artificial Intelligence Journal, 2016 The emergence of smart devices and recent advances in spoken language technology are currently extending the use of conversational interfaces and spoken interaction to perform many tasks.
David GRIOL, Jose M. MOLINA
doaj +1 more source
Frontiers in PsychologyIntroductionThis article examines the productivity of dissonance in the development of alternative crisis intervention methods, using the German example of the “Open Dialogue Leipzige.V.” The research provides detailed insights into the development of ...
Thomas Klatt +5 more
doaj +1 more source
Learning End-to-End Goal-Oriented Dialog with Multiple Answers
, 2018 In a dialog, there can be multiple valid next utterances at any point. The present end-to-end neural methods for dialog do not take this into account. They learn with the assumption that at any time there is only one correct next utterance. In this work,
Ganhotra, Jatin +3 more
core +1 more source
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog [PDF]
North American Chapter of the Association for Computational Linguistics, 2018 One of the first steps in the utterance interpretation pipeline of many task-oriented conversational AI systems is to identify user intents and the corresponding slots. Since data collection for machine learning models for this task is time-consuming, it
Sebastian Schuster +3 more
semanticscholar +1 more source
Web-based environment for user generation of spoken dialog for virtual assistants
EURASIP Journal on Audio, Speech, and Music Processing, 2018 In this paper, a web-based spoken dialog generation environment which enables users to edit dialogs with a video virtual assistant is developed and to also select the 3D motions and tone of voice for the assistant.
Ryota Nishimura +3 more
doaj +1 more source
Tracking of enriched dialog states for flexible conversational information access
, 2018 Dialog state tracking (DST) is a crucial component in a task-oriented dialog system for conversational information access. A common practice in current dialog systems is to define the dialog state by a set of slot-value pairs.
Dai, Yinpei +3 more
core +1 more source
Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation
, 2019 Neural dialog models often lack robustness to anomalous user input and produce inappropriate responses which leads to frustrating user experience. Although there are a set of prior approaches to out-of-domain (OOD) utterance detection, they share a few ...
Lee, Sungjin, Shalyminov, Igor
core +1 more source
Learning to Select Knowledge for Response Generation in Dialog Systems [PDF]
International Joint Conference on Artificial Intelligence, 2019 End-to-end neural models for intelligent dialogue systems suffer from the problem of generating uninformative responses. Various methods were proposed to generate more informative responses by leveraging external knowledge.
Rongzhong Lian +4 more
semanticscholar +1 more source