How TensorFlow Can Help to Perform Natural Language Processing Tasks
At the recent TensorFlow meetup in Silicon Valley, one of the speakers showed some demos that depict natural language processing tasks in action. In addition, the attendees learnt how TensorFlow can be utilized to carry out such tasks.
Natural language processing with TensorFlow
Junling Hu, a founder and CEO at Question.ai, focused her session on applying TensorFlow to natural language processing (NLP). She enumerated a number of NLP tasks that can be accomplished using TensorFlow APIs:
- word embedding
- language modeling
- part-of-speech tagging
- name entity detection
- parsing (e.g., using the SyntaxNet framework)
Junling also quickly overviewed recurrent neural networks, mentioning the seq2seq library in TensorFlow for building sequence-to-sequence models, and showed some demos of the NLP tasks in action.
Below is Junling’s presentation from the meetup.
One-click solution for distributed TensorFlow
Ivan Zone of Suchflex talked about the challenges of performing computing tasks on a personal laptop or using cloud services. While the first scenario is time consuming and requires a specialized hardware, the second one may appear expensive or cumbersome. He demonstrated Suchflex’s one-click solution that aims at giving a helping hand to machine learning enthusiasts and gamers.
You can find Ivan’s presentation below.
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About the experts
Junling Hu is a leading expert in artificial intelligence and data science and a founder of Question.ai. She was Director of Data Mining at Samsung, building large-scale data-mining solutions for businesses. She has also led data science teams in PayPal and eBay, creating enterprise solutions based on recommender systems, text mining, and predictive modeling.
Ivan Zone is a founder and CEO at SuchFlex. He is a former Quant developer and trader at a Manhattan-based $4B Quant Hedge Fund. Ivan is familiar with building and trading in digital markets. He is passionate about developing a peer-to-peer computing market to make the benefits of distributed computing accessible to everyone.
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