I am 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
|2017 - now||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
|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
- Our work on training LSTMs to `watch' episodes of CSI:Crime Scene Investigation and incrementally guess the perpetrator got some attention by the media, including articles in the BBC, the New Scientist, Digital Trends, The Register ... all the way to less expectable venues.
I was also interviews for a short feature in BBC Scotland Radio's Newsdrive.