Results 31 to 40 of about 679,813 (367)
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context [PDF]
Conversations have an intrinsic one-to-many property, which means that multiple responses can be appropriate for the same dialog context. In task-oriented dialogs, this property leads to different valid dialog policies towards task completion.
Yichi Zhang, Zhijian Ou, Zhou Yu
semanticscholar +1 more source
TIMEDIAL: Temporal Commonsense Reasoning in Dialog [PDF]
Everyday conversations require understanding everyday events, which in turn, requires understanding temporal commonsense concepts interwoven with those events.
Lianhui Qin +5 more
semanticscholar +1 more source
Audio Visual Scene-Aware Dialog [PDF]
We introduce the task of scene-aware dialog. Our goal is to generate a complete and natural response to a question about a scene, given video and audio of the scene and the history of previous turns in the dialog.
Huda AlAmri +11 more
semanticscholar +1 more source
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 +8 more
openaire +2 more sources
Komunikasi Kelompok : Studi Dialog Komunitas Dalam Pengembangan Masyarakat di Perkotaan
Komunikasi memiliki peran yang sangat vital dalam pemberdayaan komunitas. Penelitian ini bertujuan untuk melihat bagaimana proses komunikasi yang berlangsung dalam kelompok masyarakat sebagai bagian dari proses pemberdayaan komunitas.
Eko Wahyono
doaj +1 more source
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems [PDF]
End-to-end task-oriented dialog systems usually suffer from the challenge of incorporating knowledge bases. In this paper, we propose a novel yet simple end-to-end differentiable model called memory-to-sequence (Mem2Seq) to address this issue. Mem2Seq is
Andrea Madotto +2 more
semanticscholar +1 more source
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding [PDF]
Pre-training methods with contrastive learning objectives have shown remarkable success in dialog understanding tasks. However, current contrastive learning solely considers the self-augmented dialog samples as positive samples and treats all other ...
Wanwei He +8 more
semanticscholar +1 more source
The influence and protection of negative current in Latch-up test
Described the generation theory of negative voltage and negative current in Latch-up test and the theory of chain reaction caused by inner parasitic bipolar transistor. Then analyzed the influence of negative current in chip level with examples of analog
Sun Junyue
doaj +1 more source
Do (and say) as I say: Linguistic adaptation in human-computer dialogs [PDF]
© Theodora Koulouri, Stanislao Lauria, and Robert D. Macredie. This article has been made available through the Brunel Open Access Publishing Fund.There is strong research evidence showing that people naturally align to each other’s vocabulary, sentence ...
Bargh J. A. +21 more
core +1 more source
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog [PDF]
A typical end-to-end task-oriented dialog system transfers context into dialog state, and upon which generates a response, which usually faces the problem of error propagation from both previously generated inaccurate dialog states and responses ...
Haipeng Sun +3 more
semanticscholar +1 more source

