Dialog Act Classification

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (22 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.

• Hierarchical Fusion for Online Multimodal Dialog Act Classification
  8 Dec 2023 1 repository listed
  We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances.
• TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
  7 Dec 2023 1 repository listed Syntology ran 9 of 10 samples · 1 unverified · 10 pointer-only (licence)
  Our TOD-Flow graph learns what a model can, should, and should not predict, effectively reducing the search space and providing a rationale for the model's prediction.
• CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
  29 May 2022 1 repository listed
  Finally, we provide baseline systems for these tasks and consider the function of speakers' personalities and emotions on conversation.
• DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition
  8 Mar 2022 1 repository listed
  To implement our framework, we propose a novel model dubbed DARER, which first generates the context-, speaker- and temporal-sensitive utterance representations via modeling SATG, then conducts recurrent dual-task…
• Sentence encoding for Dialogue Act classification
  2 Nov 2021 1 repository listed
  In this study, we investigate the process of generating single-sentence representations for the purpose of Dialogue Act (DA) classification, including several aspects of text pre-processing and input representation…
• Privacy Guarantees for De-identifying Text Transformations
  7 Aug 2020 1 repository listed
  Machine Learning approaches to Natural Language Processing tasks benefit from a comprehensive collection of real-life user data.
• Self-Governing Neural Networks for On-Device Short Text Classification
  1 Oct 2018 1 repository listed
  Deep neural networks reach state-of-the-art performance for wide range of natural language processing, computer vision and speech applications.
• Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
  16 May 2018 1 repository listed
  Recent approaches for dialogue act recognition have shown that context from preceding utterances is important to classify the subsequent one.
• Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural Networks
  20 Apr 2018 1 repository listed
  The identification of Dialogue Act’s (DA) is an important aspect in determining the meaning of an utterance for many applications that require natural language understanding, and recent work using recurrent neural…
• Optimizing Neural Network Hyperparameters with Gaussian Processes for Dialog Act Classification
  27 Sep 2016 1 repository listed
  Therefore it is a useful technique for tuning ANN models to yield the best performances for natural language processing tasks.
• A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
  7 Mar 2016 1 repository listed
  This paper presents a novel latent variable recurrent neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent sentences.

Syntology lines on 1 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.