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Greatest papers with code

CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset

TACL 2020 fighting41love/funNLP

To advance multi-domain (cross-domain) dialogue modeling as well as alleviate the shortage of Chinese task-oriented datasets, we propose CrossWOZ, the first large-scale Chinese Cross-Domain Wizard-of-Oz task-oriented dataset.

DIALOGUE STATE TRACKING TASK-ORIENTED DIALOGUE SYSTEMS

A User Simulator for Task-Completion Dialogues

17 Dec 2016MiuLab/TC-Bot

Then, one can train reinforcement learning agents in an online fashion as they interact with the simulator.

TASK-ORIENTED DIALOGUE SYSTEMS

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

EMNLP 2020 budzianowski/multiwoz

In this paper, we propose Minimalist Transfer Learning (MinTL) to simplify the system design process of task-oriented dialogue systems and alleviate the over-dependency on annotated data.

DIALOGUE STATE TRACKING TASK-ORIENTED DIALOGUE SYSTEMS TRANSFER LEARNING

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System

ICLR 2021 budzianowski/multiwoz

We test HDNO on MultiWoz 2. 0 and MultiWoz 2. 1, the datasets on multi-domain dialogues, in comparison with word-level E2E model trained with RL, LaRL and HDSA, showing improvements on the performance evaluated by automatic evaluation metrics and human evaluation.

HIERARCHICAL REINFORCEMENT LEARNING TASK-ORIENTED DIALOGUE SYSTEMS

Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation

19 Nov 2019budzianowski/multiwoz

We propose a novel mixture-of-generators network (MoGNet) for DRG, where we assume that each token of a response is drawn from a mixture of distributions.

TASK-ORIENTED DIALOGUE SYSTEMS

A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts

10 Jul 2019budzianowski/multiwoz

We propose a neural Modular Task-oriented Dialogue System(MTDS) framework, in which a few expert bots are combined to generate the response for a given dialogue context.

TASK-ORIENTED DIALOGUE SYSTEMS

MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

EMNLP 2018 budzianowski/multiwoz

Even though machine learning has become the major scene in dialogue research community, the real breakthrough has been blocked by the scale of data available. To address this fundamental obstacle, we introduce the Multi-Domain Wizard-of-Oz dataset (MultiWOZ), a fully-labeled collection of human-human written conversations spanning over multiple domains and topics. At a size of 10k dialogues, it is at least one order of magnitude larger than all previous annotated task-oriented corpora. The contribution of this work apart from the open-sourced dataset is two-fold:firstly, a detailed description of the data collection procedure along with a summary of data structure and analysis is provided.

DECISION MAKING DIALOGUE MANAGEMENT SPEECH RECOGNITION TASK-ORIENTED DIALOGUE SYSTEMS TEXT GENERATION

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

ACL 2020 thu-coai/ConvLab-2

We present ConvLab-2, an open-source toolkit that enables researchers to build task-oriented dialogue systems with state-of-the-art models, perform an end-to-end evaluation, and diagnose the weakness of systems.

TASK-ORIENTED DIALOGUE SYSTEMS

Global-Locally Self-Attentive Dialogue State Tracker

19 May 2018salesforce/glad

Dialogue state tracking, which estimates user goals and requests given the dialogue context, is an essential part of task-oriented dialogue systems.

DIALOGUE STATE TRACKING TASK-ORIENTED DIALOGUE SYSTEMS