In January 2018 I will join the Amazon Core Machine Learning team in Berlin as an Applied Scientist, with an affiliation with David Blei (Columbia University).
Previously, I was a research associate at the Institute of Language, Logic and Cognition (ILCC), University of Edinburgh, working with Mirella Lapata and Shay Cohen. From July to September 2017 was a visiting scholar in Michael Frank's Language and Cognition Lab at Stanford University.
I use machine learning methods and computational models to gain a deeper understanding of the structure and dynamics of meaning representations both in language and in humans. I develop Bayesian models of how children learn categories and their structured featural representations in a joint and incremental process. I am also interested in the dynamics of meaning in natural language. I have developed models of word meaning change over centuries. Most recently I have used deep learning methods to model the structure and development of plots in books and films.
Informatics Forum, Room 3.38
10 Crichton Street
l.frermann [at] ed [dot] ac [dot] uk
|2018 - now||Postdoc at Amazon Core Machine Learning (Berlin) and Columbia University (host David Blei)|
|2017 - 2018||Research associate at ILCC, University of Edinburgh (collaborators Mirella Lapata and Shay Cohen)|
|2017||Visiting scholar at Language and Cognition Lab, Stanford University (host Michael Frank)|
|2013 - 2017||PhD at ILCC, University of Edinburgh (supervisors Mirella Lapata and Charles Sutton)|
|2016||Machine Learning Internship with Amazon Berlin (3 months)|
|2010 - 2013||MSc in Language Science and Technology from Saarland University (supervisors Ivan Titov and Manfred Pinkal)|
|2012||Erasmus Mundus Research exchange to NTU Singapore. Research project with Francis Bond.|
|2007 - 2010||BA in Linguistics, University of Bremen, Germany.|
Invited Talks and Presentations
|02 / 2018||Univeristät Stuttgart, IMS, Stuttgart, Germany.
|10 / 2017||Saarland University, Saarbruecken, Germany.
Title: Whodunnit? Crime Drama as a Case for Natural Language Understanding
|10 / 2017||Alan Turing Institute, London, UK.
Title: Structured dynamic models of meaning for understanding language change and representing book plots
|09 / 2017||CoAStaL Copenhagen Natural Language Processing Group, Copenhagen, Denmark.
Title: Structure and Dynamics of Meaning in Humans and in Language
|08 / 2017||Stanford NLP Seminar Series, Stanford, California, USA.
Title: Of Space Piracy and Secret Baby Romances: Deep Multi-View Book Representations and a Scalable Evaluation Framework
|11 / 2016||Keynote talk at the Drift-a-LOD workshop (co-located with EKAW), Bologna.
Title: Modelling fine-grained Change in Word Meaning over centuries from Large Collections of Unstructured Text
|12 / 2015||Heriot-Watt University, Edinburgh, Scotland, UK.
Title: Incremental Bayesian Learning of Semantic Categories and their Features
|09 / 2015||Google NLP PhD Summit, Zürich.|
|07 / 2012||Invited Paper at the First Workshop on Multilingual Modeling (in conjunction with ACL 2012), Jeju, Korea.
Title: Cross-lingual Parse Disambiguation based on Semantic Correspondence