Named Entity Recognition with tensorflow

This repo implements a NER model using Tensorflow, with a choice of hyperparameters and training dataset.

Task

Given a sentence, give a tag to each word. A classical application is Named Entity Recognition (NER). Here is an example

John   lives in New   York
B-PER  O     O  B-LOC I-LOC

Getting started

1. Download the GMB dataset and process into a common format. For now this will download v1.0.0 which is very lightweight.

make gmb

This will download v1.0.0 (lightest version for now) and store under the data directory. It is then processed into a common format to be processed for modelling. TODO: It seems that different versions of GMB and CoNLL datasets have different structures, so this processor will need to expand to incorporate the version.