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

(Coursebook not yet approved by the section)

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.

EECS Seminar: Advanced Topics in Machine Learning

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.