Gabriella Lapesa

I am a computational linguist with a strong interest in Distributional Semantic modeling in an interdisciplinary setting. Starting from December 2015, I am a member of the Theoretical Computational Linguistics group at the Institute for Natural Language Processing (IMS) at the University of Stuttgart. I currently work in the MARDY project, which brings together Computational Linguistics, Machine Learning and Political Science to model key aspects of the argumentation dynamics in policy debates. Before that, I have worked in the SFB 732 project B9 - Distributional Characterization of Derivation.

Previously, from October 2014 to September 2015, I have been a member of the Corpus Linguistics Group at the Friderich-Alexander University of Erlangen-Nürnberg. From October 2013 to September 2014 I have been a visiting student at the IMS Stuttgart, where I was part of the Integrated Graduate School of the SFB 732 Incremental Specification in Context and a member of the Distributional Approaches to Semantic Relatedness research group. I hold a BA in Digital Humanities and an MA in Theoretical and Applied Linguistics from the University of Pisa.

My PhD is supervised by Stefan Evert (FAU Erlangen-Nürnberg). I am a PhD student at the Institute of Cognitive Science at the University of Osnabrück (Computational Linguistics group).
The main contribution of my PhD research consists in a systematic evaluation of different classes of distributional models and their parameters in cognitive modeling tasks such as predicting reaction times in priming experiments and thematic fit ratings.

My main research interests can be described by the key words listed below: To contact me, please write to