Hessel Haagsma
Computational Linguistics
University of Groningen

About Me

I'm a PhD-candidate at the University of Groningen, working in Johan Bos' Computational Semantics group. My work is part of the Parallel Meaning Bank project, in which I focus on the automatic processing of figurative language phenomena, such as metaphor and idiom.

I did a BSc in Artificial Intelligence and a MSc in Human-Machine Communication at the Department of AI, as well as a BA in Finnish Language & Culture at the (now sadly defunct) Department of Finno-Ugristics, both at the University of Groningen.

Hessel

Find Me

In the office: Harmonie Building, Room 1311.0411

Via e-mail: hessel.haagsma@rug.nl

On Google Scholar: here

On Github: github.com/hslh

Papers

Johan Bos, Lasha Abzianidze, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Pierre Ludmann, Duc-Duy Nguyen and Rik van Noord, 2017. The Parallel Meaning Bank: Towards a Corpus of Translations with Deep Semantic Annotation. Accepted at EACL 2017. [pdf]

Mart Busger op Vollenbroek, Talvany Carlotto, Tim Kreutz, Maria Medvedeva, Chris Pool, Johannes Bjerva, Hessel Haagsma & Malvina Nissim, 2016. GronUP: Groningen User Profiling. In Working Notes of CLEF 2016 - Digital Text Forensics (PAN), pp. 846—857. [pdf|shared task results]

Hessel Haagsma, 2016. Singleton Detection using Word Embeddings and Neural Networks. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics – Student Research Workshop, pp. 65—71. [pdf|poster]

Hessel Haagsma & Johannes Bjerva, 2016. Detecting Novel Metaphor using Selectional Preference Information. In Proceedings of The Fourth Workshop on Metaphor in NLP, pp. 10—17. [pdf|slides]

Johannes Bjerva, Johan Bos & Hessel Haagsma, 2016. The Meaning Factory at SemEval-2016 Task 8: Producing AMRs with Boxer. In Proceedings of SemEval-2016, pp. 1070—1075. [pdf|poster|shared task results]

Hessel Haagsma, 2015. Automatic Word Sense Disambiguation for Dutch using Dependency Information. In Computational Linguistics in the Netherlands Journal 5, pp. 15—24. [pdf|slides]

Theses

Hessel Haagsma, 2015. Singleton Detection using Semantic Word Vectors and Neural Networks. MSc thesis, Department of Artificial Intelligence, University of Groningen. [pdf]

Hessel Haagsma, 2014. Interaction between case marking, grammatical roel and co-reference in Finnish: a corpus study. BA thesis, Department of Finno-Ugric Languages and Cultures, University of Groningen. [pdf]

Hessel Haagsma, 2013. Grammatical role and word order predict referential form in Finnish: an annotated corpus of Finnish. BSc thesis, Department of Artificial Intelligence, University of Groningen. [pdf]

Talks

Hessel Haagsma & Malvina Nissim, 2017. Can we spot meaning shifts in diachronic representations? At Computational Linguistics in the Netherlands 27 (CLIN27), Leuven, Belgium. [abstract|slides]

Teaching

2016/2017 (autumn) - Learning from Data - with Malvina Nissim

2015/2016 (autumn) - Learning from Data - with Malvina Nissim & Johannes Bjerva

Other Activities

Participated in the CLIN26 shared task on Coreference Resolution for Dutch - with Rob van der Goot & Dieke Oele

Organized the TABU Dag 2016 linguistics conference - with Charlotte Lindenbergh, Steven Gilbers, Anna Pot & Nienke Wolthuis