Browse State-of-the-Art › Dialogue Management
Dialogue Management
27 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
( Image credit: Bocklisch et al. )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
27 shown of 27 papers with code (197 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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23 Feb 2019 3 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedDefining action spaces for conversational agents and optimizing their decision-making process with reinforcement learning is an enduring challenge.
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29 Oct 2020 2 repositories listedWe propose the Conversation Graph (ConvGraph), a graph-based representation of dialogues that can be exploited for data augmentation, multi-reference training and evaluation of non-deterministic agents.
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15 Mar 2017 2 repositories listedEnd-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.
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1 Mar 2024 1 repository listedWhile interest in conversational recommender systems has been on the rise, operational systems suitable for serving as research platforms for comprehensive studies are currently lacking.
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16 Oct 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
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2 Oct 2023 1 repository listedUsing this generator, we demonstrated that errors in the datasets contribute proportionally to the performance of the models
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29 Jul 2023 1 repository listedWe introduce TacoBot, a user-centered task-oriented digital assistant designed to guide users through complex real-world tasks with multiple steps.
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23 Nov 2022 1 repository listedWe present a new approach to dialogue management using conversational knowledge graphs as core representation of the dialogue state.
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26 May 2022 1 repository listedIn this paper, we introduce Dialogue Sentence Embedding (DSE), a self-supervised contrastive learning method that learns effective dialogue representations suitable for a wide range of dialogue tasks.
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7 May 2022 1 repository listedThe emotion-aware dialogue management contains two parts: (1) Emotion state tracking maintains the current emotion state of the user and (2) Empathetic dialogue policy selection predicts a target emotion and a user's…
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23 Mar 2022 1 repository listedAt the core of the struggle is the need to script every single turn of interactions between the bot and the human user.
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28 Feb 2022 1 repository listedBesides, we use the Deep Reinforcement Learning architecture to train an Agent for Dialogue Management task.
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27 Jul 2021 1 repository listedWe present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19.
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10 Mar 2021 1 repository listedThis method gives guarantees on dialogue policy's performance and also learns to shape rewards according to intentions behind human responses, rather than just mimicking demonstration data; this couple with batch-RL…
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11 Jun 2020 1 repository listedThis 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…
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31 Oct 2019 1 repository listedDialogue embeddings are learned by a LSTM at the middle of the network, and updated by the feeding of all turn embeddings.
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30 Aug 2019 1 repository listedDialogue management (DM) plays a key role in the quality of the interaction with the user in a task-oriented dialogue system.
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19 Aug 2019 1 repository listedIn 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.
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30 Jan 2019 1 repository listedBesides the challenges for conversational dialogue systems (e.
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1 Oct 2018 1 repository listedEven though machine learning has become the major scene in dialogue research community, the real breakthrough has been blocked by the scale of data available.
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1 Jul 2018 1 repository listedThis paper proposes an improvement to the existing data-driven Neural Belief Tracking (NBT) framework for Dialogue State Tracking (DST).
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13 Apr 2018 1 repository listedWe introduce an ontology-based dialogue manage(OntoDM), a dialogue manager that keeps the state of the conversation, provides a basis for anaphora resolution and drives the conversation via domain ontologies.
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31 Mar 2018 1 repository listedRecent statistical approaches have improved the robustness and scalability of spoken dialogue systems.
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14 Dec 2017 1 repository listedWe introduce a pair of tools, Rasa NLU and Rasa Core, which are open source python libraries for building conversational software.
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1 Aug 2017 1 repository listedConversational interfaces recently gained a lot of attention.
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10 Mar 2017 1 repository listedOur overall program objective is to provide more natural ways for soldiers to interact and communicate with robots, much like how soldiers communicate with other soldiers today.
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25 Nov 2015 1 repository listedThis paper describes a successful application of Deep Reinforcement Learning (DRL) for training intelligent agents with strategic conversational skills, in a situated dialogue setting.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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