Dialogue Act Classification

23 papers with code • 5 benchmarks • 8 datasets

Dialogue act classification is the task of classifying an utterance with respect to the function it serves in a dialogue, i.e. the act the speaker is performing. Dialogue acts are a type of speech acts (for Speech Act Theory, see Austin (1975) and Searle (1969)).

Hierarchical Fusion for Online Multimodal Dialog Act Classification

Dipto084/Hierarchical-Fusion-for-Online-Multimodal-Dialog-Act-Classification EMNLP 2023

We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances.

0
08 Dec 2023

InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations

dfki-nlp/interrolang 9 Oct 2023

While recently developed NLP explainability methods let us open the black box in various ways (Madsen et al., 2022), a missing ingredient in this endeavor is an interactive tool offering a conversational interface.

4
09 Oct 2023

NatCS: Eliciting Natural Customer Support Dialogues

amazon-research/dstc11-track2-intent-induction 4 May 2023

Existing task-oriented dialogue datasets, which were collected to benchmark dialogue systems mainly in written human-to-bot settings, are not representative of real customer support conversations and do not provide realistic benchmarks for systems that are applied to natural data.

44
04 May 2023

Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention

shawx825/hidialog Tiny Papers @ ICLR 2023

We evaluate our model on various dialogue understanding tasks including dialogue relation extraction, dialogue emotion recognition, and dialogue act classification.

18
29 Apr 2023

DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents

sled-group/dorothie 22 Oct 2022

To this end, we introduce Dialogue On the ROad To Handle Irregular Events (DOROTHIE), a novel interactive simulation platform that enables the creation of unexpected situations on the fly to support empirical studies on situated communication with autonomous driving agents.

13
22 Oct 2022

Learning Dialogue Representations from Consecutive Utterances

amazon-research/dse NAACL 2022

In 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.

43
26 May 2022

A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets

lemuria-wchen/imcs21 19 Apr 2022

In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience.

41
19 Apr 2022

Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations

lcs2-iiitd/sparta_wsdm2022 12 Nov 2021

We identify the requirement of such conversation and propose twelve domain-specific dialogue-act (DAC) labels.

29
12 Nov 2021

Sentence encoding for Dialogue Act classification

NathanDuran/Sentence-Encoding-for-DA-Classification Natural Language Engineering 2021

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 which are often overlooked or underreported within the literature, for example, the number of words to keep in the vocabulary or input sequences.

3
02 Nov 2021

Speaker Turn Modeling for Dialogue Act Classification

zaghe568/speak-turn-emb-dialog-act-clf Findings (EMNLP) 2021

Dialogue Act (DA) classification is the task of classifying utterances with respect to the function they serve in a dialogue.

20
10 Sep 2021