Language Models as World Models
Explore how language models can serve as world models, offering insights into their potential applications and implications for artificial intelligence.
Finite State Methods with Modern Neural Architectures for Speech Applications and Beyond
Explore finite state methods integrated with neural architectures for advanced speech applications and beyond in this comprehensive JSALT 2023 workshop.
Text and Context in Natural Language Processing - JSALT 2023 Team Presentation
Explore text and context in language processing with Kenneth Church's JSALT 2023 team presentation, delving into cutting-edge research and insights.
Weighted Finite State Automata and Linear Algebra - JSALT 2023 Team Presentation
Explore weighted finite state automata and linear algebra in speech and language processing through a comprehensive JSALT 2023 team presentation by Lucas Ondel Yang.
Compositional Approaches to Modelling Language and Concepts
Explore the integration of compositional and neural approaches in language modeling, examining their strengths, limitations, and potential for improving AI systems' performance and interpretability.
How Can Large Language Models Learn From Humans? - Understanding Psycholinguistic Predictions and Sheaf Theory
Explore how combining lexical predictions from LLMs with syntactic structures can improve language understanding, using sheaf theory to better match human reading patterns and comprehension.
Part of Speech Tagging, Named Entity Recognition, and Hidden Markov Model
Master essential Natural Language Processing techniques including part-of-speech tagging, named entity recognition, and hidden Markov models for advanced text analysis.
Automatically Deriving Adjectival Scales from Neural Network Language Models - 2013
Discover how computational linguistics can derive meaning from adjective scales, using web data and neural networks to understand gradable modifiers in everyday language and medical contexts.
Multilingual Large Language Models - Fundamentals and Applications
Explore the capabilities and applications of multilingual language models through an in-depth technical lecture covering key concepts, challenges, and implementation strategies.
Abstractive Summarization and Text Generation Evaluation
Explore advanced techniques in abstractive summarization and learn effective methods for evaluating text generation outputs in natural language processing.