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UOI-P18-2012

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Introduction

The repository is an UNOFFICIAL Keras implementation of the paper: Named Entity Recognition With Parallel Recurrent Neural Networks.

Several parallel Bi-LSTMs are used to extract features from embeddings of words and characters. The recurrent weights for calculating cell state vectors in LSTMs are compared and added to the final loss to make sure they extract different information from each other.

Demo

virtualenv -p python3 .env
source .env/bin/activate
pip install -r requirements.txt
python demo.py

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Unofficial implementation of the paper "Named Entity Recognition With Parallel Recurrent Neural Networks"

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