Korean Dependency Parsing Demonstration
This showcases the combination of Komoran3 POS tagger and Google SyntaxNet dependency parser.
About
I’m Andrew, currently attending Korea University and working with neural networks and language understanding technology. I focus on technology for parsing morphologically complex languages like Korean. I also assist with side projects in the lab such as Computational Thinking.
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Using TensorBoard Projector with Non-TensorFlow Data
TensorBoard allows us to visualize a TensorFlow model. Quite possibly the most interesting part of TensorBoard is the ability to visualize embeddings. But the most unfortunate part is that all the current tutorials require you to have your data in TensorFlow tensor format. I’m going to show you how to visualize external vector data using …
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Inside Google SyntaxNet
Please note that this tutorial (including the formatting) is a work in progress. I’m simply posting my progress in good faith. Your comments are welcomed. Introduction The news of Parsey McParseface achieving record-breaking parsing accuracy was interesting and thought-provoking. As far as I remember, it even hit some major public news outlets. Running the example …
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I can be contacted with the email icon in the bottom left.