Modern Natural Language Processing Epfl
Natural language processing is ubiquitous in modern intelligent technologies, serving as a foundation for language translators, virtual assistants, search engines, and many more. In this course, students will learn algorithmic tools for tackling problems in modern NLP. CS-552: Modern Natural Language Processing Course Description Natural language processing is ubiquitous in modern intelligent technologies, serving as a foundation for language translators, virtual assistants, search engines, and many more.
The NLP (Natural Language Processing) lab is a research group in the School of Computer and Communication Sciences at EPFL in Lausanne, Switzerland! We're a fun and passionate group, with fairly broad research interests, but mainly researching models that can understand and generate languages as well as represent knowledge and reason! The objective of this course is to present the main models, formalisms and algorithms necessary for the development of applications in the field of natural language information processing. The concepts introduced during the lectures will be applied during practical sessions. Antoine Bosselut is an assistant professor at EPFL.
He leads the EPFL NLP group, which conducts research on natural language processing (NLP) systems that can model, represent, and reason about human and world knowledge. Natural Language Processing Language is the universal medium through which we exchange our most important news, our most promising ideas, and our most heartfelt gestures. Embedded in the language we use, and the text we write, is a wealth of human knowledge.
We report facts. We argue for beliefs. We share our emotions and thoughts.
Summary Natural language processing is ubiquitous in modern intelligent technologies, serving as a foundation for language translators, virtual assistants, search engines, and many more. In this course, students will learn algorithmic tools for tackling problems in modern NLP. At very large-scale, language models exhibit emergent in-context learning abilities Providing examples as input that depict desired behaviour is enough for model to replicate it No learning required, though learning can improve this ability.
Modern natural language processing This repository contains multiple resources related to the final project of the course "Modern natural language processing" (taught by Professor A. Bosselut), attended in the Spring semester of 2023 at EPFL. The project has been done in cooperation with Nay Abi Akl and Mariam Hassan.
Content Natural language processing technologies have become ubiquitous tools in modern life, powering search engines, conversational agents, translation services, and many business applications. In recent years, NLP methods based on machine learning have become the core drivers of progress toward general natural language understanding.