Anthill Inside 2017

On theory and concepts in Machine Learning, Deep Learning and Artificial Intelligence. Formerly Deep Learning Conf.


Deep Learning approaches for Named Entity Recognition

Submitted by Vijay Ramakrishnan (@vijay120) on Thursday, 13 July 2017

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Section: Crisp talk Technical level: Intermediate


Using a Bi-Directional LSTM network we were able to achieve state of the art accuracies on Named Entity Data on WNUT 2016 Twitter Noisy data.


  • Introduction on Named Entity Recognition and why it is important for voice assistants
  • Introduction on prior approaches taken for NER
  • Describe the LSTM model and how it’s better than existing approaches
  • Demo the model on Tensorflow

Speaker bio

Vijay Ramakrishnan is a machine learning engineer at Cisco, after his company, Mindmeld, was acquired by Cisco in June 2017. He is interested in deep learning approaches to NLP and self driving applications.


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  • Sandhya Ramesh (@sandhyaramesh) a year ago

    Hi Vijay, please ensure you submit a slide deck and a two minute video of you explaining the talk by end of the day Sunday so that we can evaluate your proposal. Thanks!

    • Vijay Ramakrishnan (@vijay120) Proposer a year ago

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