Graham Neubig Courses

CMU Multilingual NLP 2022 - Words, Parts of Speech, Morphology

Explore words, parts of speech, and morphology in multilingual NLP, covering linguistic concepts, UD Treebank annotations, and morphological analysis techniques.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

CMU Advanced NLP 2021 - Adversarial Learning

Explore adversarial learning in NLP, covering GANs, discrete outputs, and input adversaries. Gain insights into advanced techniques for robust language models and style transfer.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

CMU Advanced NLP 2021 - Latent Variable Models

Explore advanced NLP concepts like variational autoencoders, discrete latent variables, and their applications in natural language processing tasks.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Document-Level Modeling

Explore advanced NLP techniques for long documents, including feature extraction, coreference resolution, and discourse parsing. Gain insights into state-of-the-art models and their applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

CMU Advanced NLP 2021: Dialog

Learn about dialog systems in NLP, covering key issues, datasets, evaluation methods, and typical models for response generation in task-oriented and open-domain contexts.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: NLP Experimentation

Learn advanced NLP experimentation techniques, from forming research questions to running experiments, with insights on data annotation and hypothesis testing.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Word Segmentation and Morphology

Explore word segmentation, morphology, and unsupervised subword segmentation in this advanced NLP lecture, covering linguistic concepts and computational approaches to language analysis.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Prompting + Sequence-to-Sequence Pre-Training

Explore advanced NLP techniques including prompting, sequence-to-sequence pre-training, and prompt engineering. Learn innovative methods to enhance language models and improve their performance across various tasks.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Pre-training Methods

Explore advanced NLP concepts including multi-task learning, sentence embeddings, BERT variants, and language modeling objectives. Gain insights into cutting-edge techniques for natural language processing.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

CMU Advanced NLP 2021 - Conditional Generation

Learn advanced NLP techniques for conditional generation, including encoder-decoder models, search algorithms, ensembling, and evaluation methods. Explore applications in translation, summarization, and dialogue systems.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Recurrent Neural Networks

Explore recurrent neural networks, LSTMs, and their applications in NLP, covering long-distance dependencies, prediction types, and optimization techniques for advanced language processing tasks.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Text Classification

Comprehensive introduction to neural networks for NLP, covering core concepts like forward/backward algorithms, parameter updates, and training techniques for text classification tasks.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Introduction to NLP

Explore key concepts, challenges, and applications of natural language processing, including feature extraction, sentiment analysis, and neural network models.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Neural Nets for NLP 2021 - Document-Level Models

Explores advanced NLP techniques for document-level tasks, including long-document modeling, entity coreference, and discourse parsing, with a focus on neural network approaches and their applications.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Neural Nets for NLP 2021 - Multilingual Learning

Explore multilingual learning in NLP, covering models, data balancing, parameter sharing, and cross-lingual transfer techniques for improved language processing across diverse languages.

• YouTube
• 33 minutes
• Self-Paced
• Free Video