Skip to content

A place to implement state of the art deep learning methods for named entity recognition using python and MXNet.

Notifications You must be signed in to change notification settings

opringle/named_entity_recognition

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

43 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Goal

  • This repo contains an MXNet implementation of this state of the art entity recognition model.
  • You can find my blog post on the model here.

Running the code

  1. Clone this repo
  2. Train the model: $ cd src && python ner.py

To reproduce the preprocessed training data:

  1. Download and unzip the data: https://www.kaggle.com/abhinavwalia95/entity-annotated-corpus/downloads/ner_dataset.csv
  2. Move ner_dataset.csv into ./data
  3. $ cd src && python preprocess.py

About

A place to implement state of the art deep learning methods for named entity recognition using python and MXNet.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published