End-To-End Dialogue Modelling
7 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in End-To-End Dialogue Modelling
| Trend | Dataset | Best Model | Paper | Code | Compare |
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MultiWOZ
BiToD
Arabic-ToD
Most implemented papers
Task-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.
Multi-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.
A Simple Language Model for Task-Oriented Dialogue
salesforce/simpletod
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NeurIPS 2020
Task-oriented dialogue is often decomposed into three tasks: understanding user input, deciding actions, and generating a response.
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
In this paper we aim at alleviating the reliance on belief state labels in building end-to-end dialog systems, by leveraging unlabeled dialog data towards semi-supervised learning.
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
ufal/augpt
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EMNLP (NLP4ConvAI) 2021
Our model substantially outperforms the baseline on the MultiWOZ data and shows competitive performance with state of the art in both automatic and human evaluation.
Maintaining Common Ground in Dynamic Environments
Alab-NII/dynamic-onecommon
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Common grounding is the process of creating and maintaining mutual understandings, which is a critical aspect of sophisticated human communication.
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
siat-nlp/galaxy
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Pre-trained models have proved to be powerful in enhancing task-oriented dialog systems.
