Center for Language & Speech Processing(CLSP), JHU Courses

Deep Learning in NLP and Beyond - 2015

Explore advanced machine learning in NLP, focusing on recurrent neural networks and deep learning. Gain insights into future research directions for developing language-understanding machines.

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

Machine Reading for Cancer Panomics - 2015

Explore machine reading techniques for extracting biological pathways from scientific literature to aid cancer research and drug discovery. Learn about semantic parsing and its application to genomics.

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

Scaling of Information in Natural Language - 2004

Explore the relationship between semantic accuracy and representation complexity in language using information theory and hierarchical clustering techniques.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Neural Architecture Search: Coming of Age

Explore Neural Architecture Search advancements, including benchmarks, speedup techniques, AutoML integration, and neural ensemble search. Gain insights from a leading expert in automated machine learning.

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

Future of Machine Translation - 2016

Explore neural machine translation's potential to revolutionize the field through sub-word-level, larger-context, and multilingual translation approaches.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Neuromorphic Language Understanding - Deep Neural Networks for Low-Power Language Processing

Explore recurrent neural networks for language processing and their adaptation to ultra-low power neuromorphic hardware, bridging artificial intelligence with biologically-inspired models of cognition.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Maximum Entropy and Species Distribution Modeling - 2007 - Lecture

Explore maximum entropy methods for species distribution modeling, covering theoretical guarantees, experimental tests, and applications in conservation biology.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Corpora, Cognition and Composition - Exploring Semantics and Semantic Composition

Explore semantics and semantic composition using text corpora and brain recordings. Learn latent representations to uncover overlapping and complementary information in language processing.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Can Graph Neural Networks Help Logic Inference? - 2019

Explore how graph neural networks can bridge perceptual learning and logic inference, potentially advancing AI. Examine evidence from inductive logic programming and lifted logic inference.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

GPT-3 vs Humans: Rethinking Evaluation of Natural Language Generation

Explore challenges in evaluating advanced language models for paraphrasing and text simplification. Learn about innovative evaluation frameworks and metrics for natural language generation tasks.

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

Transliteration-Based Approaches for Multilingual and Code-Switched Languages

Explore innovative approaches for multilingual ASR systems, focusing on code-switching challenges and transliteration-based solutions to improve accuracy and scalability in diverse linguistic environments.

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

Guaranteed Training of Neural Networks Using Tensor Methods - 2015

Explore guaranteed neural network training using tensor methods. Learn about overcoming non-convexity, risk bounds, and combining unsupervised learning with supervised tasks.

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

Modeling Human Communication Dynamics - 2016

Explore computational models for analyzing and predicting human communication behaviors, with applications in healthcare, education, business, and social media.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Parsing the Web: Large-Scale Syntactic Processing - 2009 Workshop Closing Presentation

Explore large-scale syntactic processing techniques for parsing web content in this comprehensive workshop presentation from CLSP at Johns Hopkins University.

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

Learning Neural Network Hyperparameters for Machine Translation - 2019

Explore neural network hyperparameter optimization for machine translation, focusing on efficient methods to learn parameters during training without extensive grid searches.

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