Lab News

• Fall 2021: Ryan is giving invited talks at EPFL, University of Melbourne, University of Notre Dame, Gothenburg University and MIT.

• 26/8: 7 papers accepted to EMNLP 2021; 4 papers accepted to Findings of the ACL: EMNLP 2021

  • Revisiting the Uniform Information Density Hypothesis
    
  • A Bayesian Framework for Information-Theoretic Probing
    
  • Efficient Sampling of Dependency Structure
    
  • Phone-level Uniform Information Density across and within Languages
    
  • On Homophony and Rényi Entropy
    
  • Conditional Poisson Stochastic Beams
    
  • Text or Topology? Classifying Ally-Enemy Pairs in Militarised Conflict
    
  • Equivariant Transduction through Invariant Alignment
    
  • Searching for More Efficient Dynamic Programs
    
  • Keyword2Text: A Plug-and-Play Method for Controlled Text Generation
    
  • Adjusting the Conflict-Cooperation Scale for Armed Conflict Assessment
    

• 5/5: 7 papers accepted at ACL 2021; 1 paper accepted to Findings of the ACL

  • A cognitive regularizer for language modeling
    
  • On Finding the K-best Non-projective Dependency Trees
    
  • Determinantal Beam Search
    
  • Is Sparse Attention more Interpretable?
    
  • Language Model Evaluation Beyond Perplexity
    
  • Examining the Inductive Bias of Neural Language Models with Artificial Languages
    
  • Higher-order Derivatives of Weighted Finite-state Machines
    
  • Modelling the Unigram Distribution
    

• 10/3: 5 papers (3 long, 2 short) accepted to NAACL 2021

  • A Non-Linear Structural Probe
    
  • What About the Precedent: An Information-Theoretic Analysis of Common Law
    
  • Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
    
  • Finding Concept-specific Biases in Form–Meaning Associations
    
  • How (Non-)Optimal is the Lexicon?
    

• 25/2: Ryan is giving an invited talk at the ELLIS NLP Workshop on joint work with Clara and Tim

• 28/1: 3 papers accepted to EACL 2021

  • Disambiguatory signals are stronger in word initial positions
    
  • Searching for Search Errors in Neural Morphological Inflection
    
  • Applying the Transformer to Character-level Transduction
    
    
    
    

Thesis Projects

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 ryan.cotterell@inf.ethz.ch with CC to clara.meister@inf.ethz.ch and niklas.stoehr@inf.ethz.ch 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!

ETHZ++ NLP Reading Group

SEE FULL READING LIST HISTORY

Our lab, along with Mrinmaya Sachan’s lab, meets weekly on Fridays at 15:00 CEST. Here’s what we’re reading!

04/12/19: Semantic categories of artifacts and animals reflect efficient coding
11/12/19: SpanBERT: Improving Pre-training by Representing and Predicting Spans
15/01/20: Gender-Aware Reinflection using Linguistically Enhanced Neural Models

Joining Our Lab

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!