Adam Roussel

Adam Roussel

Wissenschaftlicher Mitarbeiter at the Department of Linguistics at the Ruhr University Bochum.


Download PDF


Github Profile

Research Interests

Dissertation Project: Computational Analysis of Discourse Deixis

Discourse deixis refers to a type of reference in which certain expressions (e.g. this, that, it, etc.) are used to refer to discourse entities that are typically represented by verbal phrases and whole clauses or sentences, such as facts, propositions, or events. The variety of forms these expressions take renders them difficult to handle automatically, since many of the features commonly used for anaphora resolution are not available.

This project has as its goal a detailed quantitative investigation of the properties of discourse deixis as well as the construction of computational systems capable of processing such expressions adequately. I also plan to investigate to what degree interpreting these expressions can improve performance in other NLP tasks, such as automatic summarization or translation.

Other Projects

I assisted these other projects in a more technical role:

Reference Corpus of Middle High German

The Anselm Corpus


Summer semester 2019

Natural language generation

Winter semester 2018 / 2019

Coreference resolution


Kolhatkar, Varada, Adam Roussel, Stefanie Dipper, and Heike Zinsmeister. 2018. “Anaphora with Non-Nominal Antecedents in Computational Linguistics: A Survey.” Computational Linguistics 44 (3): 547–612.

Roussel, Adam. 2018. “Detecting and Resolving Shell Nouns in German.” In Proceedings of the NAACL Workshop on Computational Models of Reference, Anaphora, and Coreference (CRAC), 61–67. New Orleans, LA, USA.

Roussel, Adam, Stefanie Dipper, Sarah Jablotschkin, and Heike Zinsmeister. 2018. “Towards the Automatic Resolution of Anaphora with Non-Nominal Antecedents: Insights from Annotation.” In Proceedings of the 14th Conference on Natural Language Processing (KONVENS). Vienna, Austria.

Simonjetz, Fabian, and Adam Roussel. 2016. “Crosslinguistic Annotation of German and English Shell Noun Complexes.” In Proceedings of the 13th Conference on Natural Language Processing (KONVENS), 265–78. Bochum, Germany.