Browse > Natural Language Processing > Dialogue > Dialogue Management

Dialogue Management

7 papers with code · Natural Language Processing
Subtask of Dialogue

State-of-the-art leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Strategic Dialogue Management via Deep Reinforcement Learning

25 Nov 2015cuayahuitl/SimpleDS

This paper describes a successful application of Deep Reinforcement Learning (DRL) for training intelligent agents with strategic conversational skills, in a situated dialogue setting.

DIALOGUE MANAGEMENT

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

End-to-end optimization of goal-driven and visually grounded dialogue systems

15 Mar 2017GuessWhatGame/guesswhat

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.

DIALOGUE MANAGEMENT VISUAL QUESTION ANSWERING

Modeling Multi-Action Policy for Task-Oriented Dialogues

30 Aug 2019leishu02/EMNLP2019_gCAS

Dialogue management (DM) plays a key role in the quality of the interaction with the user in a task-oriented dialogue system.

DIALOGUE MANAGEMENT

Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization

ACL 2019 oceanypt/DIM

Semantic parsing aims to transform natural language (NL) utterances into formal meaning representations (MRs), whereas an NL generator achieves the reverse: producing a NL description for some given MRs.

CODE GENERATION DIALOGUE MANAGEMENT SEMANTIC PARSING