Multilingual Language Modeling Toolkit
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Updated
May 25, 2017 - Python
Multilingual Language Modeling Toolkit
A standalone deep neural network-based NER system.
Named Entity Recognition - Python - Keras
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Character Embeddings Recurrent Neural Network Text Generation Models
Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Implementation of OceanText, a visual embedding algorithm for Chinese.
Named Entity Recognition system, entirely in PyTorch based on a BiLSTM architecture. Includes an analysis and comparison of different architectures and embedding schemes. Includes support for Character Embeddings, CRF layer (developed from scratch), Layer Normalization, Glove embeddings
CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案
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