Goal-Oriented Dialog
24 papers with code • 1 benchmarks • 6 datasets
Achieving a pre-defined goal through a dialog.
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DSTC7 Task 1
Latest papers with no code
L'adaptabilit\'e comme comp\'etence pour les syst\`emes de dialogue orient\'es t\^ache (Adaptability as a skill for goal-oriented dialog systems)
{\'E}tendre les capacit{\'e}s d{'}adaptabilit{\'e} des syst{\`e}mes {\`a} toujours plus de nouveaux domaines sans donn{\'e}es de r{\'e}f{\'e}rence constitue une pierre d{'}achoppement de taille.
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation
There is a growing interest in developing goal-oriented dialog systems which serve users in accomplishing complex tasks through multi-turn conversations.
Large Scale Multi-Actor Generative Dialog Modeling
This work introduces the Generative Conversation Control model, an augmented and fine-tuned GPT-2 language model that conditions on past reference conversations to probabilistically model multi-turn conversations in the actor's persona.
Convo: What does conversational programming need? An exploration of machine learning interface design
We found that users appreciated aspects of each system (e. g., voice-input efficiency, text-input precision) and that novice users were more optimistic about programming using voice-input than advanced users.
Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems
Goal-oriented dialog systems, which can be trained end-to-end without manually encoding domain-specific features, show tremendous promise in the customer support use-case e. g. flight booking, hotel reservation, technical support, student advising etc.
Les syst\`emes de dialogue orient\'es-but : \'etat de l'art et perspectives d'am\'elioration (Goal-oriented dialog systems : a recent overview and research prospects )
La possibilit{\'e} d{'}une r{\'e}ponse erron{\'e}e de l{'}agent {\`a} l{'}utilisateur demeure donc {\'e}lev{\'e}e. Pour les syst{\`e}mes orient{\'e}s-but, le probl{\`e}me est consid{\'e}r{\'e} comme r{\'e}solu, mais d{'}apr{\`e}s notre exp{\'e}rience aucun syst{\`e}me ne montre une robustesse remarquable lorsqu{'}il est {\'e}valu{\'e} en situation r{\'e}elle.
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog
Neural network models have recently gained traction for sentence-level intent classification and token-based slot-label identification.
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications
Spoken language understanding (SLU) acts as a critical component in goal-oriented dialog systems.
Quantized-Dialog Language Model for Goal-Oriented Conversational Systems
The key idea is to quantize the dialog space into clusters and create a language model across the clusters, thus allowing for an accurate choice of the next utterance in the conversation.
Chat-crowd: A Dialog-based Platform for Visual Layout Composition
In this paper we introduce Chat-crowd, an interactive environment for visual layout composition via conversational interactions.
