Teaching

Dependency Structures and Lexicalized Grammars

This seminar explores a variety of algorithms for efficient dependency parsing and their derivatioin in a unified algebraic framework.

ESSLLI 2021

The *Information Theory in Linguistics* course focuses on the application of information-theoretic methods to natural language processing, emphasizing interdisciplinary connections with the field of linguistics.

Natural Language Processing, Autumn 2020

This course presents topics in natural language processing with an emphasis on modern techniques, primarily focusing on statistical and deep learning approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems.

Natural Language Processing, Fall 2021

This course presents topics in natural language processing with an emphasis on modern techniques, primarily focusing on statistical and deep learning approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems.

Natural Language Processing, Spring 2021

This course presents topics in natural language processing with an emphasis on modern techniques, primarily focusing on statistical and deep learning approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems.