We are a collocation of collaborators working on a diverse range of topics in computational linguistics, natural language processing and machine learning.
Lab Motto: We put the fun in funicular!
10/06/22 Aaron Schein (University of Columbia) is giving an invited talk
24/02/22: 6 papers accepted to NAACL 2022
24/02/22: 6 papers accepted to ACL 2022
Fall 2021: Ryan is giving invited talks at EPFL, University of Melbourne, University of Notre Dame, Gothenburg University and MIT.
26/08/21: 7 papers accepted to EMNLP 2021; 4 papers accepted to Findings of the ACL: EMNLP 2021
05/05/21: 7 papers accepted at ACL 2021; 1 paper accepted to Findings of the ACL
10/03/21: 5 papers (3 long, 2 short) accepted to NAACL 2021
ETH Zürich Fall 2022
This graduate class, taught like a seminar, is designed to help you understand the philosophical underpinnings of modern work in natural language processing (NLP), most of which centered around statistical machine learning applied to natural language data.
ETH Zürich Fall 2022
The course constitutes an introduction to modern techniques in the field of natural language processing (NLP). Our primary focus is on the algorithmic aspects of structured NLP models. The course is self-contained and designed to complement other machine learning courses at ETH Zürich, e.g., Deep Learning and Advanced Machine Learning. The course also has a strong focus on algebraic methods, e.g., semiring theory. In addition to machine learning, we also cover the linguistic background necessary for reading the NLP literature.
This tutorial focuses on the application of information-theoretic methods to natural language processing, emphasizing interdisciplinary connections with the field of linguistics.
If you are a MSc student at ETH Zurich interested in writing your thesis with us, we would be delighted to hear from you! Unfortunately, we do not have the capacity to consider students from outside ETH for thesis projects. Our research revolves around theoretical and applied problems in Natural Language Processing, Computational Linguistics, Machine Learning and Statistics. To obtain a better understanding of what currently interests us, we invite you to check our recent publications. However, feel free to express interest in any topic you think our group might be well suited to advise you on: Just because we have not yet looked into a topic does not mean we are not interested in it or willing to become interested in the topic.
Please send an email to firstname.lastname@example.org with CC to email@example.com and firstname.lastname@example.org and state either [bachelor’s thesis] or [master’s thesis] at the start of the subject. For us to get to know you a little, please write a paragraph introducing yourself and why you are interested in working with us. It would help us a lot if you also provided a list of four or five more concrete topics that you are interested in. We will try our best to find a project that suits your interests. We are looking forward to receiving your inquiry!
Thank you very much for your interest in joining our group – unfortunately, we are not accepting PhD students anymore!
If you are interested in working with us as a Master’s student, please see here. Ryan has previously co-advised Master’s students on NLP topics with Mrinmaya Sachan and others, if co-advising is an option you would like to pursue. At Cambridge, Ryan co-advises MPhil students with Simone Teufel. We are looking forward to receiving your inquiry!