End-To-End Dialogue Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 10
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/awslabs/pptod
공식 코드Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
https://github.com/salesforce/simpletod
공식 코드https://github.com/siat-nlp/galaxy
공식 코드https://github.com/thu-spmi/LABES
공식 코드https://github.com/ufal/augpt
공식 코드https://gitlab.com/ucdavisnlp/damd-multiwoz
공식 코드Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/TonyNemo/UBAR-MultiWOZ
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/bepoetree/mttod
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/jasonyux/krls
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/pengbaolin/soloist
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching
https://github.com/sogang-isds/TOATOD
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
https://github.com/whatissimondoing/his-dialog
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/yunhaoli1995/MAMD-TOD
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.