Mohit Pandey

Mohit Pandey

Ph.D. Candidate

Named entity recognition with simple Attention

less than 1 minute read

Published:

NER implementation hosted within browser using Tensorflow-JS.

Definition from Wikipedia

Named Entity Recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, etc. See demo below. Continue reading for model explanation and code.

Demo

Enter sentence like Fischler proposed EU-wide measures after reports from Britain and France that under laboratory conditions sheep could contract bovine spongiform encephalopathy. or She likes David!.

    

Leave a Comment

You May Also Enjoy

Encoder - Attention - Decoder

10 minute read

Published:

Explaining Attention Network in Encoder-Decoder setting using Recurrent Neural Networks

Encoder-Decoder paradigm has become extremely popular in deep learning particularly in the space of natural language processing. Attention modules complement encoder-decoder architecture to make learning more close to humans way. I present a gentle introduction to encode-attend-decode. I provide motivation for each block and explain the math governing the model. Further, I break down the code into digestible bits for each mathematical equation. While there are good explanations to attention mechanism for machine translation task, I will try to explain the same for a sequence tagging task (Named Entity Recognition).

Encode-Attend-Decode Architecture

In the next part of the series, I will use the architecture explained here to solve the problem of Named Entity Recognition