https://github.com/snakeztc/SimDial
공식 코드Zero-Shot Dialog Generation with Cross-Domain Latent Actions
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Achieving a pre-defined goal through a dialog.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Zero-Shot Dialog Generation with Cross-Domain Latent Actions
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
In-Context Learning User Simulators for Task-Oriented Dialog Systems
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
How to Build User Simulators to Train RL-based Dialog Systems
Sequential Attention-based Network for Noetic End-to-End Response Selection
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
Sequential Attention-based Network for Noetic End-to-End Response Selection
Reactive and Safe Road User Simulations using Neural Barrier Certificates
Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
In-Context Learning User Simulators for Task-Oriented Dialog Systems
Sequential Attention-based Network for Noetic End-to-End Response Selection
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.