A very simple framework for state-of-the-art Natural Language Processing (NLP)

Code and examples for "Learning on Knowledge Graph Dynamics Provides Early Warning of Impactful Research".

The functions of superalloyDigger toolkit include batch downloading documents in XML and TXT format from the Elsevier database, locating target sentences from the full text and automatically extrac…

pandas中文教程

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

Implementation of inference and learning algorithms for various PGMs without standard libraries. Includes projects from the PGM specialization on Coursera offered by Stanford University.

Blueprint/Boilerplate For Python Projects

Source code of the HunFlair experiments

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

TensorFlow code and pre-trained models for BERT

Concept embedding and network analysis of scientific innovations emergence

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

My blogs and code for machine learning. http://cnblogs.com/pinard

Unsupervised NER in chemical domain.

Few-shot classification in Named Entity Recognition Task

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)…

Git常用命令集合