Papers End-To-End Dialogue Modelling
“End-To-End Dialogue Modelling” 태그가 달린 논문 11편 · 필터 해제
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation
Multilingual task-oriented dialogue (ToD) facilitates access to services and information for many (communities of) speakers. Nevertheless, the potential of this technology is not fully realised, as current datasets for m…
Dialogue State TrackingEnd-To-End Dialogue ModellingNatural Language UnderstandingSpecificity+1GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Pre-trained models have proved to be powerful in enhancing task-oriented dialog systems. However, current pre-training methods mainly focus on enhancing dialog understanding and generation tasks while neglecting the expl…
End-To-End Dialogue ModellingMulti-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Pre-trained language models have been recently shown to benefit task-oriented dialogue (TOD) systems. Despite their success, existing methods often formulate this task as a cascaded generation problem which can lead to e…
Dialogue State TrackingEnd-To-End Dialogue Modellingintent-classificationIntent ClassificationMulti-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Pre-trained language models have been recently shown to benefit task-oriented dialogue (TOD) systems. Despite their success, existing methods often formulate this task as a cascaded generation problem which can lead to e…
Dialogue State TrackingEnd-To-End Dialogue Modellingintent-classificationIntent ClassificationMaintaining Common Ground in Dynamic Environments
Common grounding is the process of creating and maintaining mutual understandings, which is a critical aspect of sophisticated human communication. While various task settings have been proposed in existing literature, t…
End-To-End Dialogue ModellingGoal-Oriented Dialogue SystemsScene-Aware DialoguePretraining the Noisy Channel Model for Task-Oriented Dialogue
Direct decoding for task-oriented dialogue is known to suffer from the explaining-away effect, manifested in models that prefer short and generic responses. Here we argue for the use of Bayes' theorem to factorize the di…
End-To-End Dialogue ModellingAuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
Attention-based pre-trained language models such as GPT-2 brought considerable progress to end-to-end dialogue modelling. However, they also present considerable risks for task-oriented dialogue, such as lack of knowledg…
DiversityEnd-To-End Dialogue ModellingLanguage ModelingTranslationA Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
Structured belief states are crucial for user goal tracking and database query in task-oriented dialog systems. However, training belief trackers often requires expensive turn-level annotations of every user utterance. I…
End-To-End Dialogue ModellingSOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching
We present a new method SOLOIST that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular task-oriented dialog systems using a Transformer-based auto-regressive langu…
End-To-End Dialogue ModellingFew-Shot LearningLanguage ModelingLanguage Modelling+3A Simple Language Model for Task-Oriented Dialogue
Task-oriented dialogue is often decomposed into three tasks: understanding user input, deciding actions, and generating a response. While such decomposition might suggest a dedicated model for each sub-task, we find a si…
Dialogue State TrackingEnd-To-End Dialogue ModellingLanguage ModelingLanguage Modelling+4Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
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 t…
Data AugmentationDiversityEnd-To-End Dialogue Modellingvalid