Papers with Code 아카이브
Goal-Oriented Dialogue Systems
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Achieving a pre-defined goal through a dialog.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SmartDataAnalytics/kgirnet
공식 코드Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
https://github.com/amazon-research/dse
공식 코드Learning Dialogue Representations from Consecutive Utterances
https://github.com/amazon-research/real-world-noisy-benchmarks-for-natural-language-understanding
공식 코드https://github.com/danielroncel/tfm
공식 코드https://github.com/declare-lab/dialogue-understanding
공식 코드https://github.com/s6fikass/Chatbot_KVNN
공식 코드Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
https://github.com/snakeztc/NeuralDialog-LaRL
공식 코드https://github.com/telepathylabsai/prompt-based-user-simulator
공식 코드In-Context Learning User Simulators for Task-Oriented Dialog Systems
https://github.com/Jupaoqq/Jupaoqq_LaRL
https://github.com/NVIDIA/NeMo
A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset
https://github.com/declare-lab/conv-emotion
https://github.com/justinchiu/NeuralDialog
https://github.com/silviatti/prompt-based-user-simulator
In-Context Learning User Simulators for Task-Oriented Dialog Systems
https://github.com/sunbopds/SDEN-Pytorch-master
Sequential Dialogue Context Modeling for Spoken Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.