1 - Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source
On Thursday, Google released SyntaxNet, its open-source neural network framework through TensorFlow that serves as a base building block for natural language understanding (NLU) systems. Parsing human languages has been historically challenging for computers, in big part due to the ambiguity of syntactic structures. The system's neural networks are successful in helping better train systems. In addition to a comprehensive set of code for training new SyntaxNet models on proprietary data, users also have access to 'Parsey McParseface', a machine learning-based parsing system trained to analyze English text. Parsey is the most accurate model of its kind to date, and will help further research involving automatic extraction of information, translation, and other capabilities of the NLU.