Pinned Repositories
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
ConvLab
DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:
DTG-SI
Code for "Data-to-text Generation with Style Imitation." [Findings of EMNLP 2020]
DTG-SI-data
Data-to-text Generation with Style Imitation.
forte
Forte is a flexible and powerful NLP pipeline FOR TExt.
GEML-MDG
Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]
MAML-DST
Model-agnostic meta-learning (MAML) for few-shot dialogue state tracking (DST) based on TRADE.
MetaLearning4NLP-Papers
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
PGCL
The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
PyContrast
PyTorch implementation of Contrastive Learning methods
ha-lins's Repositories
ha-lins/ConvLab
DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:
ha-lins/ANIML
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
ha-lins/bert_score
BERT score for text generation
ha-lins/CliNER
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
ha-lins/E2E_text_content_manipulation
text_content_manipulation
ha-lins/GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
ha-lins/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
ha-lins/Machine-Learning-From-Scratch
常用机器学习的算法简洁实现
ha-lins/Machine-Learning_ZhouZhihua
Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University
ha-lins/nlp-beginner
NLP上手教程
ha-lins/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
ha-lins/Pintos
SYSU OS project.
ha-lins/Style-Transfer-in-Text
Paper List for Style Transfer in Text
ha-lins/Target-Guided-Conversation
ha-lins/trade-dst
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743