David-Lee-1990's repositories
albert-chinese-ner
使用预训练语言模型ALBERT做中文NER
Chinese-Text-Classification-Pytorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
ChineseNLPCorpus
中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。
daniel_fintoc2019
Our participation to the "Financial Document Structure Extraction" task 2019
data-centric-ai
Resources for Data Centric AI
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
dynamic-KG
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
google-research
Google Research
OpenKP
Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.
References--Reinforcement-Learning
Papers being part of the state of the art on reinforcement learning
sentence-transformers
Sentence Embeddings with BERT & XLNet
sequence_tagging
Named Entity Recognition (LSTM + CRF) - Tensorflow
text_classification
all kinds of text classification models and more with deep learning
Text_Classification-1
Text Classification Algorithms: A Survey