Goal-Oriented Dialogue Systems Edit Task
Natural Language Processing • Dialogue
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A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset
• NVIDIA/NeMo
• 
Dialog State Tracking (DST) is one of the most crucial modules for goal-oriented dialogue systems.
DATA AUGMENTATION DIALOGUE STATE TRACKING GOAL-ORIENTED DIALOGUE SYSTEMS
Utterance-level Dialogue Understanding: An Empirical Study
Most of these approaches account for the context for effective understanding.
DIALOGUE UNDERSTANDING GOAL-ORIENTED DIALOGUE SYSTEMS TEXT GENERATION
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
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
We present bot{\#}1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI).
GOAL-ORIENTED DIALOG GOAL-ORIENTED DIALOGUE SYSTEMS MACHINE TRANSLATION QUESTION ANSWERING QUESTION GENERATION SHORT-TEXT CONVERSATION TEXT SUMMARIZATION
Sequential Dialogue Context Modeling for Spoken Language Understanding
WS 2017
• sunbopds/SDEN-Pytorch-master
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We compare the performance of our proposed architecture with two context models, one that uses just the previous turn context and another that encodes dialogue context in a memory network, but loses the order of utterances in the dialogue history.
GOAL-ORIENTED DIALOGUE SYSTEMS SPOKEN LANGUAGE UNDERSTANDING
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
Since such models can greatly benefit from user intent and knowledge graph integration, in this paper we propose an RNN-based end-to-end encoder-decoder architecture which is trained with joint embeddings of the knowledge graph and the corpus as input.
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GOAL-ORIENTED DIALOG GOAL-ORIENTED DIALOGUE SYSTEMS MULTI-TASK LEARNING TEXT GENERATION