Graham Neubig Courses

Neural Nets for NLP 2017 - Recurrent Neural Networks

Explore Recurrent Neural Networks, LSTMs, and sentence modeling in this 1-2 hour material by Graham Neubig, part of CMU's Neural Networks for NLP series.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Online Course

Neural Nets for NLP 2017 - Convolutional Networks for Text

Explore Neural Networks for NLP with Graham Neubig's 1-2 hour material, covering Bag of Words, Convolution applications, and Convolutional Models of Sentence Pairs.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP - Class Introduction & Why Neural Nets?

Explore Neural Networks for NLP with Graham Neubig's 1-2 hour material, covering introduction, example tasks, and their solutions. Includes slides and code examples.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP 2017 - A Simple Exercise - Predicting the Next Word in a Sentence

Explore Neural Networks for NLP with Graham Neubig's 1-2 hour material, covering word vectors, skip-grams, CBOW, and advanced methods. Includes code examples.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Online Course

CMU Low Resource NLP Bootcamp 2020 - Speech Synthesis

Learn about speech synthesis, generating speech from text, with this 2-3 hour material from Carnegie Mellon University's Language Technologies Institute.

• YouTube
• 2 hours 22 minutes
• On-Demand
• Free Online Course

CMU Low Resource NLP Bootcamp 2020 - Neural Representation Learning

Explore neural representation learning in NLP with Carnegie Mellon University's bootcamp. Learn about word and sentence representations, with case studies on NNLM, Glove, ELMO, and BERT.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Online Course

CMU Low Resource NLP Bootcamp 2020 - Linguistics: Phonology and Morphology

Explore linguistics, phonology, and morphology with this 1-2 hour material from Carnegie Mellon University's Language Technologies Institute.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Online Course

CMU Neural Nets for NLP: Model Interpretation

Explore model interpretation in Neural Networks for NLP with Graham Neubig's material, covering topics from syntax in NMT to extractive rationale generation.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP 2020 - Machine Reading with Neural Nets

Explore machine reading with neural networks in this 1-2 hour material by Graham Neubig, covering encoding methods, multi-hop reasoning, and dataset caveats.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP 2020 - Neural Nets + Knowledge Bases

Explore methods for learning and incorporating knowledge bases into neural models with Graham Neubig's 1-2 hour material. Ideal for those interested in Neural Networks for NLP.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP 2020 - Document Level Models

Explore document-level language modeling, coreference, and discourse parsing in this less than 1-hour material by Graham Neubig.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

CMU Neural Nets for NLP 2020 - Multitask and Multilingual Learning

Explore multi-task and multilingual learning methods in NLP with Graham Neubig's 1-2 hour material, covering topics from supervised adaptation to zero-shot transfer.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure

Explore unsupervised and semi-supervised learning of structure in NLP with Graham Neubig's 1-2 hour material, covering design decisions, examples, and methods.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP - Models with Latent Random Variables

Explore Neural Networks for NLP with Graham Neubig's 1-2 hour material, covering generative models, variational autoencoders, and latent variable handling.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Online Course

Neural Nets for NLP 2020 - Search-Based Structured Prediction

Explore structured prediction, perceptron algorithms, and remedies to exposure bias in this 1-2 hour material by Graham Neubig.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course