الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Dialogue Act Classification On Switchboard

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Accuracy	Paper Title	Repository
DAH-CRF	82.3	A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification	-
ALDMN	81.5	Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training	-
CNN[[Lee and Dernoncourt2016]]	73.1	Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Speaker	83.2	Speaker Turn Modeling for Dialogue Act Classification
CRF-ASN	81.3	Dialogue Act Recognition via CRF-Attentive Structured Network	-
RNN with 3 utterances in context	77.34	A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks
Bi-LSTM-CRF	79.2	Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
HGRU + Beam Search + Guided attention	85.0	Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
Utt-Att-BiRNN	77.42	Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
Bi-RNN + Self-Attention + Context	82.9	Dialogue Act Classification with Context-Aware Self-Attention
Pretrained Hierarchical Transformer	79.2	Hierarchical Pre-training for Sequence Labelling in Spoken Dialog	-

0 of 11 row(s) selected.