dialog history
Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System
... spoken dialog system using an N-gram-based dialog history ...spoken dialog data accompanied by usability evaluation scores by users in real ...spoken dialog interface on their own ...
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Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
... the dialog his- tory to a variety of synthetic ...conversation history (see Table 1) and 3) recurrent models are more sensitive to the ordering of utterances within the dialog history, ...
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MojiTalk: Generating Emotional Responses at Scale
... non-task-oriented dialog systems, but their reinforced and its follow-up adversarial mod- els (Li et ...for dialog modeling, but neither did they model emotions in the con- versations, nor explore ...
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A Dynamic Strategy Coach for Effective Negotiation
... the dialog history (§5). At test time, given the dialog history in each turn, our coach (1) predicts possible tactics in the next turn (§4); (2) uses the outcome predictor to select tactics ...
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Video Dialog via Progressive Inference and Cross Transformer
... goal-oriented dialog framework using information-theoretic approach, in which the questioner figures out the answerer’s intention via selecting a plausible question by cal- culating the information gain of the ...
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CLEVR Dialog: A Diagnostic Dataset for Multi Round Reasoning in Visual Dialog
... visual dialog. (3) MNIST-Dialog (Seo et al., 2017) is a synthetic dialog dataset on a grid of 4 × 4 styl- ized MNIST digits ...visual dialog dataset collected by pairing two human annotators ...
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The Interplay of User Centered Dialog Systems and AI Planning
... ongoing dialog according to the user’s needs, requirements, preferences, or history of ...the dialog domain to the ontology enables us to accomplish these requirements using ontological reasoning and ...
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A Working Memory Model for Task oriented Dialog Response Generation
... task-oriented dialog systems have been ...the dialog history with KB tuples and simply store them into one ...for dialog response ...memorizing dialog his- tory and the semantic memory ...
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Sentiment Adaptive End to End Dialog Systems
... entire dialog history in the annotation process be- cause the dialog context gives the annotators a holistic view of the interactions, and annotating user sentiment in a dialog without the ...
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Multi step Reasoning via Recurrent Dual Attention for Visual Dialog
... visual dialog, which all used a single-step reasoning strategy, we propose a novel multi-step reasoning framework that can boost the performance of visual dialog systems by inferring context-relevant ...
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Acquisition and Evaluation of a Dialog Corpus through WOz and Dialog Simulation Techniques
... A considerable effort is necessary to acquire and label a corpus with the data necessary to train good models. Dif- ferent techniques have been developed to carry out the ac- quisition process. The Wizard of Oz technique ...
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Office 2013 All In One For Dummies pdf
... a dialog box or task pane (officially, Microsoft calls these little buttons dialog box launchers, but let’s act like grownups, shall ...the dialog box or task pane that appears when the button is ...
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Dialog Intent Structure: A Hierarchical Schema of Linked Dialog Acts
... suitable dialog representations and annotated data to sup- port the development of dialog modeling ...predefined dialog states se- quences, falls short of providing a flexible and adaptable system ...
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Error Handling in the RavenClaw Dialog Management Architecture
... A Dialog Task Specification consists of a tree of dialog agents, where each agent manages a sub- part of the ...the dialog task specification from RoomLine, a spoken dialog system which can ...
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Deep Reinforcement Learning For Modeling Chit Chat Dialog With Discrete Attributes
... on Dialog datasets demonstrated through quantitative & qualitative Evaluations: Additionally, we annotate an existing open do- main dialog dataset using dialog attribute classi- fiers trained ...
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Scoring Interactional Aspects of Human Machine Dialog for Language Learning and Assessment using Text Features
... conversational dialog along multiple dimensions, particularly those focused on interaction, (ii) triple-scoring a selection of dialog data based on this rubric, and finally (iii) examin- ing the performance ...
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Dialog for Language to Code
... The dialog opens with an open-ended user utter- ance (a user-initiative) in which the user is ex- pected to describe the ...tween dialog success and dialog ...
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ConvLab: Multi Domain End to End Dialog System Platform
... the dialog act level which is the typical setting of prior works focusing on developing reinforcement learning methods for dialog policy ...with dialog agent, there are recent attempts on end-to- end ...
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Dialectical Shifts Underlying Arguments from Consequences
... persuasion dialog to negotiation dialog based on specifying a unified architecture for ...persuasion dialog, and they want to shift to a new sub-dialog, they must make a request for the shift ...
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Greetings Generation in Video Role Playing Games
... This demonstrates that game developers must use an enormous amount of text that will be pre- sented in the different episodes of a story. How- ever, there is little variation within these texts to keep development costs ...
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