dialogue agents
Towards End to End Reinforcement Learning of Dialogue Agents for Information Access
... This work is aimed at facilitating the move to- wards end-to-end trainable dialogue agents for in- formation access. We propose a differentiable probabilistic framework for querying a database given the ...
12
Personalizing Dialogue Agents via Meta Learning
... There is a growing interest in learning personal- ized chit-chat dialogue agents for making chat- bots more consistent. Recently, a multi-turn conversational dataset called Persona-chat (Zhang et al., 2018) ...
6
A CD ROM Retrieval System with Multiple Dialogue Agents
... A CD ROM Retrieval System with Multiple Dialogue Agents A C D R O M R e t r i e v a l S y s t e m w i t h M u l t i p l e D i a l o g u e A g e n t s K e i i c h i Sakai, T s u y o s h i Y a g i s a w[.] ...
6
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
... task-oriented dialogue systems (Young et ...pre-defined dialogue state ...of dialogue acts ...richer dialogue states and more nuanced, pragmatic dialogue ...of dialogue, the lack ...
11
Personalizing Dialogue Agents: I have a dog, do you have pets too?
... Because of the low quality of current conver- sational models, and because of the difficulty in evaluating these models, chit-chat is often ignored as an end-application. Instead, the research com- munity has focused on ...
10
Evaluating Persuasion Strategies and Deep Reinforcement Learning methods for Negotiation Dialogue agents
... where to move the robber when a 7 is rolled and who to steal from, and so on. The negotiation strategy, which is triggered when the game play- ing strategy chooses to attempt to trade with other players (i.e. the trade ...
5
The Queen’s Agents: Using Collaborating Object Based Dialogue Agents in the Queen’s Communicator
... support agents are generally deferred (“Thanks, I’ll take the address details in a moment…”), until the rules of the current support expert allow ...the dialogue, because one of the handling expert’s rules ...
7
PARADISE: A Framework for Evaluating Spoken Dialogue Agents
... The PARADISE methodology consists of the following steps: • definition of a task and a set of scenarios; • specification of the AVM task representation; • experiments with alternate dial[r] ...
10
Dialogue Strategy Learning in Healthcare: A Systematic Approach for Learning Dialogue Models from Data
... build dialogue agents that op- timize the dialogue strategy, specifically through learning the dialogue model com- ponents from dialogue ...learning dialogue strategies in the ...
7
MACA: A Modular Architecture for Conversational Agents
... goal-oriented dialogue agents, where the slot information – askQueries and other attributes of the slot and these slot ob- jects – are maintained in the domain knowledge, which enables the framework to ...
10
FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents
... oriented dialogue agents, built on top of the OpenDial ...of dialogue sys- tems from scratch also by non tech savvy, es- pecially when limited training data is avail- ...
6
Theoretical Bases Of Developing Students’ Intercultural Competence
... the dialogue not a collision of two communicative flows, but a community arising in consciousness as a result of a meeting of "I" and "the ...the dialogue. Dialogue contributes to the ...
8
Analyzing the Effect of Entrainment on Dialogue Acts
... the dialogue partner. For example, if one dialogue participant tends to ask questions frequently, we may hypoth- esize that the number of questions from the part- ner may also ...given dialogue acts. ...
9
Introduction: Approaches to Fictional Dialogue
... In narrative theories of recent decades, certain tendencies have emerged that highlight the “natural,” real-life qualities of fictional stories and the role of the reader in applying everyday frames while interpreting ...
14
A Classification of Dialogue Actions in Tutorial Dialogue
... tutorial dialogue is an underlying factor which makes it difficult to annotate cate- gories ...tutorial dialogue which makes computational modelling challeng- ...
8
A Robust and Efficient Three Layered Dialogue Component for a Speech to Speech Translation System
... The dialogue memory consists of three layers of dialog structure: 1 an intentional structure representing dialogue phases and speech acts as occurring in the dialogue, 2 a thematic struc[r] ...
6
Dialogue
... of dialogue as a complex, multidimensional, and dynamic process “fraught with tensions” ...words, dialogue “brings people together and drives them ...that dialogue does not guarantee a solution, but ...
13
Combining Verbal and Nonverbal Features to Overcome the “Information Gap” in Task Oriented Dialogue
... of dialogue act classification ...automatic dialogue act classification, but other types of nonverbal cues remain ...a dialogue system that learns its behavior from a human corpus, this paper ...
10
An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Spoken Dialogue Systems
... An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Spoken Dialogue Systems An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Sp[.] ...
8
The Effects of Task Variation on the Accuracy and Complexity of Iranian EFL Learners’ Oral Performance
... including dialogue completion, group dialogue, and dialogue unscrambling tasks in such a way that one experimental group (EXG1) was treated by means of a combination of three tasks (dialogue ...
19