Computational Linguistics Reading Group

This talk aims at highlighting research topics and pending issues in the area of event extraction, temporal processing and storyLines. The StoryLine topic will be further developed by presenting existing results (the Event StoryLine Corpus), current activities, and future work.

Tommaso Caselli joined in September 2017 the CLCG Group at the University of Groningen as Assistant Professor. He has been involved in research in NLP since 2006. His main research areas are in event processing, temporal relations and (event) sentiment analysis. He has worked on the Spinoza Project “Understanding Language by Machines - Stories and world views as a key to understanding language”, developing computational models and NLP tools for semantic processing of texts with a particular focus on cross-document event extraction and storyline extraction from news. He took part to the organisation of semantic evaluation campaigns in NLP for English and Italian (SemEval 2010 TempEval-2; EVALITA 2014 EVENTI, SemEval 2015 CLIPEval, EVALITA 2016 FactA). He is one of the initiator of the Computing News Storylines workshop series, whose third edition has taken place this summer in conjunction with ACL 2017. He (co-)authored more than 40 peer-reviewed publications (first author of 21 of them), and regularly serves as reviewer/chair of major NLP conferences and journals. He received his BA in Modern Languages from the University of Pisa, his MA in Linguistics from the University of Pavia, and his Ph.D. in Computational Linguistics from the University of Pisa. Before joining the University of Groningen he was a post-doc at the Institute of Computational Linguistics in Pisa (2009-2011), Hong Kong Polytechnic Univeristy (2011-2012), IBM Center for Advanced Studies in Trento (2012-2014), and at the Vrije Universiteit Amsterdam (2014-2017)