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Explore document-level models, entity coreference, and discourse parsing in this less than 1-hour material by Graham Neubig, part of CMU's Neural Networks for NLP series.
Explore generative models, variational autoencoders, and latent random variables in NLP with this under 1-hour material by Graham Neubig.
Explore model interpretation in Neural Networks for NLP with Graham Neubig's material, covering themes like sentence embeddings, evaluation techniques, and future directions.
Explore structured prediction with local independence assumptions in this less than 1-hour material by Graham Neubig. Learn about conditional random fields, sequence labeling, and more.
Explore reinforcement learning with Graham Neubig's concise material, covering policy gradient, stabilizing techniques, and value-based reinforcement learning.
Explore structured prediction basics in Neural Networks for NLP with Graham Neubig's 1-2 hour material, covering structured perceptron, max-margin objectives, and exposure bias remedies.
Learn to identify and debug neural network problems in NLP with Graham Neubig's 1-2 hour material, covering training and test time issues.
Learn sentence and contextual word representations in NLP with Graham Neubig's 1-2 hour material, covering multi-task learning, pre-training, and language model transfer.
Explore the concept of attention in Neural Networks for NLP with Graham Neubig's 1-2 hour material, covering improvements, specialized varieties, and a case study.
Explore Recurrent Networks, LSTMs, and sentence modeling with Graham Neubig's 1-2 hour material. Gain insights into the strengths and weaknesses of recurrence in NLP.
Explore Neural Networks for NLP with Graham Neubig's material, covering Bag of Words, Convolution applications, and Convolutional Models of Sentence Pairs. 1-2 hours workload.
Explore Neural Networks for NLP with Graham Neubig's 1-2 hour material, covering word vectors, skip-grams, CBOW, and advanced methods for word vectors.
Explore neural networks for natural language processing with a focus on knowledge graphs in this less than 1-hour material by Graham Neubig.
Explore neural nets for NLP with Graham Neubig's material, covering document-level models, language modeling, coreference resolution, and discourse parsing. (1-2hr workload)
Explore neural models for dialogue response generation, diversity promoting objectives, and personality-infused dialog in this 1-2 hour material by Graham Neubig.
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