2021
NAACL
NAACL 2021
Learning PyTorch Through A Neural Dependency Parsing Exercise
Abstract
AbstractDependency parsing is increasingly the popular parsing formalism in practice. This assignment provides a practice exercise in implementing the shift-reduce dependency parser of Chen and Manning (2014). This parser is a two-layer feed-forward neural network, which students implement in PyTorch, providing practice in developing deep learning models and exposure to developing parser models.
🌉
Interdisciplinary Bridge
— Deep Learning and Natural Language Processing
🐣
Hot Topic Early Bird
— feed-forward network
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio