https://github.com/Makbari1997/VAE-KPCA-HDBSCAN
공식 코드A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Given a set of labelled and unlabelled utterances, the idea is to identify existing (known) intents and potential (new intents) intents. This method can be utilised in conversational system setting.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery
Intent Mining from past conversations for conversational agent
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
Generalized Intent Discovery: Learning from Open World Dialogue System
Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
A Diffusion Weighted Graph Framework for New Intent Discovery
New Intent Discovery with Pre-training and Contrastive Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.