Anthill Inside 2017

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

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Deep Learning approaches for Named Entity Recognition

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


Preview video

Section: Crisp talk Technical level: Intermediate

Abstract

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.

Outline

  • 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.

Slides

https://www.slideshare.net/VijayRamakrishnan/deep-learning-approaches-for-named-entity-recognition

Preview video

https://www.youtube.com/watch?v=KSRVAzVjSLA

Comments

  • 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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