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CMU Neural Nets for NLP 2017 (12): Transition-based Dependency Parsing

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This lecture (by Graham Neubig) for CMU CS 11-747, Neural Networks for NLP (Fall 2017) covers: * What is Transition-based Parsing? * Shift-reduce Parsing w/ Feed-forward Nets * Stack LSTM * A Simple Alternative: Linearized Trees Slides: http://phontron.com/class/nn4nlp2017/assets/slides/nn4nlp-12-transitionparsing.pdf Code Examples: https://github.com/neubig/nn4nlp2017-code/tree/master/12-transitionparsing Previous Video: https://youtu.be/e5sPNlgbZAE Next Video: https://youtu.be/gRtEW6Q5XJE See more details of the class here: http://phontron.com/class/nn4nlp2017/
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