Antoine Bosselut

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.

Prior to joining EPFL, he was a postdoctoral researcher at Stanford University working in the SNAP and NLP groups and a young investigator on the Mosaic project at the Allen Institute for AI. He completed his PhD at the University of Washington.

Teaching & PhD

Teaching

Computer Science

Communication Systems

PhD Students

Alkhamissy Badr Khaled Abdelrahman, Bayazit Deniz, Borges Ribeiro Beatriz Maria, Chen Zeming, Foroutan Eghlidi Negar, Gao Silin, Ismayilzada Mahammad, Mamooler Sepideh, Mi Li, Petersen Molly Rose, Poiroux Auguste Alain Lucien, Romanou Angeliki,

Past EPFL PhD Students

Cui Shaobo ,

Courses

Introduction to natural language processing

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.

Modern natural language processing

This course includes lectures, exercises, a midterm exam, and a project. In lectures, we will cover the foundations of modern methods for natural language processing, such as word embeddings, recurrent neural networks, transformers, pretraining. We will also cover issues with these state-of-the-art approaches (such as robustness, interpretability, sensitivity), identify their failure modes in d

Topics in Natural Language Processing

This seminar course explores advanced topics in natural language processing through a mix of reading, reviewing, and writing academic papers.

Antoine Bosselut

Fields of expertise

Biography