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Dialogue Act Classification
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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)).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Franck-Dernoncourt/naacl2016
공식 코드Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
https://github.com/OSU-slatelab/vp-pairwise
공식 코드https://github.com/amazon-research/dse
공식 코드Learning Dialogue Representations from Consecutive Utterances
https://github.com/amazon-science/dstc11-track2-intent-induction
공식 코드https://github.com/ayeshaEnayet/Dialogue-Act-for-dialogue-analysis-
공식 코드A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
https://github.com/bothe/EDAs
공식 코드EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators
https://github.com/bothe/dialogue-act-recognition
공식 코드https://github.com/dfki-nlp/interrolang
공식 코드InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
https://github.com/emory-irlab/CDAC
공식 코드Contextual Dialogue Act Classification for Open-Domain Conversational Agents
https://github.com/lcs2-iiitd/sparta_wsdm2022
공식 코드https://github.com/lemuria-wchen/imcs21
공식 코드A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets
https://github.com/shawx825/hidialog
공식 코드Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention
https://github.com/sled-group/dorothie
공식 코드https://github.com/zaghe568/speak-turn-emb-dialog-act-clf
공식 코드https://github.com/Dipto084/Hierarchical-Fusion-for-Online-Multimodal-Dialog-Act-Classification
https://github.com/amazon-research/dstc11-track2-intent-induction
https://github.com/ayeshaenayet/dac-use
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
https://github.com/glicerico/SGNN
https://github.com/ilimugur/short-text-classification
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
https://github.com/jonas-scholz123/msci-project
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
https://github.com/macabdul9/CASA-Dialogue-Act-Classifier
Dialogue Act Classification with Context-Aware Self-Attention
https://github.com/mlnlp-world/top-ai-conferences-paper-with-code
https://github.com/shuyicao/emo-DA
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
https://github.com/venkat-ravilla/DAP
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
https://github.com/whitepurple/Simple-NGram
https://github.com/xcfcode/What-I-Have-Read
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.