Browse State-of-the-Art › Dialogue Understanding
Dialogue Understanding
35 papers with code · 0 benchmarks · 9 datasets 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
9 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 35 papers with code (79 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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14 May 2018 4 repositories listedWe introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations.
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8 Nov 2022 3 repositories listedIn this paper, we introduce the ATCO2 corpus, a dataset that aims at fostering research on the challenging ATC field, which has lagged behind due to lack of annotated data.
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1 Oct 2021 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Robots operating in human spaces must be able to engage in natural language interaction with people, both understanding and executing instructions, and using conversation to resolve ambiguity and recover from mistakes.
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13 Apr 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedProgress in Machine Learning is often driven by the availability of large datasets, and consistent evaluation metrics for comparing modeling approaches.
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29 Sep 2020 2 repositories listed Syntology ran 0 of 11 samples · 11 unverifiedMost of these approaches account for the context for effective understanding.
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27 Feb 2020 2 repositories listedMulti-role dialogue understanding comprises a wide range of diverse tasks such as question answering, act classification, dialogue summarization etc.
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24 Sep 2024 1 repository listedDialogue State Tracking (DST) is crucial for understanding user needs and executing appropriate system actions in task-oriented dialogues.
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4 Jul 2024 1 repository listedRecent advancements in dialogue systems have highlighted the significance of integrating multimodal responses, which enable conveying ideas through diverse modalities rather than solely relying on text-based…
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27 Jun 2024 1 repository listedWe present a generalizable classification approach that leverages Large Language Models (LLMs) to facilitate the detection of implicitly encoded social meaning in conversations.
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19 Jun 2024 1 repository listed Syntology ran 8 of 11 samples · 3 unverified · 11 pointer-only (licence)Recent advancements in Large Language Models (LLMs) have significantly enhanced the capabilities of conversational agents, making them applicable to various fields (e.
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19 Jun 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe argue that this is due to the lack of principles on task definition and model development, which requires open-source datasets and metrics suitable for model evaluation.
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29 May 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe evaluate the performance of various SOTA LLMs on the MathChat benchmark, and we observe that while these models excel in single turn question answering, they significantly underperform in more complex scenarios that…
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22 Oct 2023 1 repository listedBiomedical language understanding benchmarks are the driving forces for artificial intelligence applications with large language model (LLM) back-ends.
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19 Oct 2023 1 repository listedRecognizing that emotional intelligence encompasses a comprehension of worldly knowledge, we propose an innovative approach that integrates commonsense information with dialogue context to facilitate a deeper…
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10 Oct 2023 1 repository listedTo address these challenges, we propose a unified robustness evaluation framework based on the slot-filling task to systematically evaluate the dialogue understanding capability of LLMs in diverse input perturbation…
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30 May 2023 1 repository listedVideo-grounded dialogue understanding is a challenging problem that requires machine to perceive, parse and reason over situated semantics extracted from weakly aligned video and dialogues.
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29 May 2023 1 repository listedIt extracts the medical entities and dialogue acts used in the dialogue history and models their transitions with an entity-centric graph flow and a sequential act flow, respectively.
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29 Apr 2023 1 repository listedWe evaluate our model on various dialogue understanding tasks including dialogue relation extraction, dialogue emotion recognition, and dialogue act classification.
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12 Oct 2022 1 repository listedIn this work, we propose DialoGen, a novel encoder-decoder based framework for dialogue generation with a generalized context representation that can look beyond the last-k utterances.
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19 Sep 2022 1 repository listedHowever, these models are typically trained on surface dialogue text, thus are proven to be weak in understanding the main semantic meaning of a dialogue context.
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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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12 May 2022 1 repository listed Syntology ran 0 of 9 samples · 9 unverifiedTask transfer, transferring knowledge contained in related tasks, holds the promise of reducing the quantity of labeled data required to fine-tune language models.
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20 Apr 2022 1 repository listedIn this work, we highlight that the user's historical dialogue sessions and look-alike users are essential sources of user preferences besides the current dialogue session in CRS.
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19 Apr 2022 1 repository listedIn recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience.
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23 Sep 2021 1 repository listed Syntology ran 1 of 3 samples · 2 unverifiedConversational semantic role labeling (CSRL) is believed to be a crucial step towards dialogue understanding.
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6 Sep 2021 1 repository listedFor a dialogue, it corrupts a window of text with dialogue-inspired noise, and guides the model to reconstruct this window based on the content of the remaining conversation.
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3 Aug 2021 1 repository listedWe propose several strong multimodal baselines and show the importance of contextual and multimodal information for humor recognition in conversations.
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1 Aug 2021 1 repository listedConversational discourse structures aim to describe how a dialogue is organised, thus they are helpful for dialogue understanding and response generation.
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21 May 2021 1 repository listed Syntology ran 1 of 5 samples · 4 unverifiedAlthough neural models have achieved competitive results in dialogue systems, they have shown limited ability in representing core semantics, such as ignoring important entities.
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20 May 2021 1 repository listedIn this work, we propose a novel joint learning framework of modeling coreference resolution and query rewriting for complex, multi-turn dialogue understanding.
Syntology lines on 9 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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