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Dialogue State Tracking
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Dialogue state tacking consists of determining at each turn of a dialogue the full representation of what the user wants at that point in the dialogue, which contains a goal constraint, a set of requested slots, and the user's dialogue act.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/google-research-datasets/simulated-dialogue
공식 코드https://github.com/guanlinchao/bert-dst
공식 코드https://github.com/guojinyu88/DSSDST
공식 코드Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking
https://github.com/guojinyu88/dicos-master
공식 코드https://github.com/hanzhou032/xqa-dst
공식 코드XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking
https://github.com/helloacl/DST-DCPDS
공식 코드Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversations
https://github.com/henryhungle/MTN
공식 코드Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
https://github.com/henryhungle/NADST
공식 코드https://github.com/henryhungle/UniConv
공식 코드UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
https://github.com/henryhungle/mm_dst
공식 코드https://github.com/huybery/r2sql
공식 코드Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
https://github.com/hyintell/al-dst
공식 코드https://github.com/jasonwu0731/ToD-BERT
공식 코드TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
https://github.com/jasonwu0731/trade-dst
공식 코드Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
https://github.com/jennycs0830/confidence_score_dst
공식 코드https://github.com/jihyunlee1/e2e-dst
공식 코드Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking
https://github.com/jlab-nlp/refpydst
공식 코드Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking
https://github.com/jshin49/ds2
공식 코드https://github.com/kaniblu/vhda
공식 코드Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
https://github.com/lexmen318/MultiWOZ-coref
공식 코드https://github.com/lexmen318/MultiWOZ_2.3
공식 코드https://github.com/lichuangnus/uno-dst
공식 코드UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
https://github.com/linweizhedragon/knowledge-aware-graph-enhanced-gpt-2-for-dialogue-state-tracking
공식 코드Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
https://github.com/liutianlin0121/Conceptor-Negation-WV
공식 코드Unsupervised Post-processing of Word Vectors via Conceptor Negation
https://github.com/lumia-group/rasat
공식 코드RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
https://github.com/miulab/cuda-dst
공식 코드Controllable User Dialogue Act Augmentation for Dialogue State Tracking
https://github.com/naver-ai/neuralwoz
공식 코드NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
https://github.com/nikitacs16/xlift_dst
공식 코드Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking
https://github.com/nlper27149/luna-dst
공식 코드LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking
https://github.com/nmrksic/attract-repel
공식 코드https://github.com/nmrksic/counter-fitting
공식 코드https://github.com/nmrksic/neural-belief-tracker
공식 코드https://github.com/nu-dialogue/jmultiwoz
공식 코드JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset
https://github.com/orange-opensource/olisia-dstc11
공식 코드https://github.com/renll/ComerNet
공식 코드Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.