Dialogue Management Edit Task
Natural Language Processing • Dialogue
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Greatest papers with code
Rasa: Open Source Language Understanding and Dialogue Management
We introduce a pair of tools, Rasa NLU and Rasa Core, which are open source python libraries for building conversational software.
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
Strategic Dialogue Management via Deep Reinforcement Learning
This paper describes a successful application of Deep Reinforcement Learning (DRL) for training intelligent agents with strategic conversational skills, in a situated dialogue setting.
Fully Statistical Neural Belief Tracking
ACL 2018
• nmrksic/neural-belief-tracker
• 
This paper proposes an improvement to the existing data-driven Neural Belief Tracking (NBT) framework for Dialogue State Tracking (DST).
DIALOGUE MANAGEMENT DIALOGUE STATE TRACKING SPOKEN LANGUAGE UNDERSTANDING WORD EMBEDDINGS
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
NAACL 2019
• snakeztc/NeuralDialog-LaRL
•
Defining action spaces for conversational agents and optimizing their decision-making process with reinforcement learning is an enduring challenge.
DECISION MAKING DIALOGUE GENERATION DIALOGUE MANAGEMENT GOAL-ORIENTED DIALOGUE SYSTEMS LATENT VARIABLE MODELS POLICY GRADIENT METHODS VARIATIONAL INFERENCE
End-to-end optimization of goal-driven and visually grounded dialogue systems
End-to-end design of dialogue systems has recently become a popular research topic thanks to powerful tools such as encoder-decoder architectures for sequence-to-sequence learning.
Modeling Multi-Action Policy for Task-Oriented Dialogues
IJCNLP 2019
• leishu02/EMNLP2019_gCAS
•
Dialogue management (DM) plays a key role in the quality of the interaction with the user in a task-oriented dialogue system.
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
IJCNLP 2019
• Leechikara/Dialogue-Based-Anti-Fraud
•
In this paper, we focus on identity fraud detection in loan applications and propose to solve this problem with a novel interactive dialogue system which consists of two modules.
Emora STDM: A Versatile Framework for Innovative Dialogue System Development
This demo paper presents Emora STDM (State Transition Dialogue Manager), a dialogue system development framework that provides novel workflows for rapid prototyping of chat-based dialogue managers as well as collaborative development of complex interactions.
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue
Dialogue embeddings are learned by a LSTM at the middle of the network, and updated by the feeding of all turn embeddings.