Stars
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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.
Best Practices on Recommendation Systems
100+ Chinese Word Vectors 上百种预训练中文词向量
all kinds of text classification models and more with deep learning
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Using the jedi autocompletion library for VIM.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Classic papers and resources on recommendation
A Pythonic wrapper for the Wikipedia API
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
A neural network model for Chinese named entity recognition
自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等
An open source framework for seq2seq models in PyTorch.
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
Empower Sequence Labeling with Task-Aware Language Model
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
🌲 A tool for converting PDF into hOCR with text, tables, and figures being recognized and preserved.
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and…
A easy HMM program written with Python, including the full codes of training, prediction and decoding.
BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme