← Dialogue Act Classification

Papers with Code · CC BY-SA 4.0

Switchboard corpus

아카이브 평가 11건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
HGRU + Beam Search + Guided attention	Accuracy 85.0	Guiding attention in Sequence-to-sequence models for Dialogue Act prediction 2020-02-20	코드 1
Speaker	Accuracy 83.2	Speaker Turn Modeling for Dialogue Act Classification 2021-09-10	코드 1
Bi-RNN + Self-Attention + Context	Accuracy 82.9	Dialogue Act Classification with Context-Aware Self-Attention 2019-04-04	코드 1
DAH-CRF	Accuracy 82.3	A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification 2018-10-22	연결 없음
ALDMN	Accuracy 81.5	Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training 2018-11-12	연결 없음
CRF-ASN	Accuracy 81.3	Dialogue Act Recognition via CRF-Attentive Structured Network 2017-11-15	연결 없음
Bi-LSTM-CRF	Accuracy 79.2	Dialogue Act Sequence Labeling using Hierarchical encoder with CRF 2017-09-13	코드 1 · 코드 2 · 코드 3
Pretrained Hierarchical Transformer	Accuracy 79.2	Hierarchical Pre-training for Sequence Labelling in Spoken Dialog 2020-09-23	연결 없음
Utt-Att-BiRNN	Accuracy 77.42	Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks 2018-05-16	코드 1
RNN with 3 utterances in context	Accuracy 77.34	A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks 2018-05-16	코드 1
CNN[[Lee and Dernoncourt2016]]	Accuracy 73.1	Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks 2016-03-12	코드 1 · 코드 2