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Digitale Infotage für Schüler*innen, 7.-11. Februar, 15-19 Uhr, Anmeldungen unter Bildinformationen anzeigen

Digitale Infotage für Schüler*innen, 7.-11. Februar, 15-19 Uhr, Anmeldungen unter

Foto: Universität Paderborn

Dr. Nina Seemann

Dr. Nina Seemann
01.12.2017 - 30.04.2020

Wissenschaftliche Mitarbeiterin an der Professur für Digitale Kulturwissenschaften

Leiterin der Arbeitsgruppe "Digital Humanites"
Universität Paderborn

16.01.2017 - 30.11.2017

Wissenschaftliche Mitarbeiterin an der Juniorprofessur für Wirtschaftsinformatik, insb. Semantische Informationsverarbeitung

Heinz Nixdorf Institut
Universität Paderborn


Promotion zum Dr. phil. an der Fakultät für Informatik, Elektrotechnik und Informationstechnik

Universität Stuttgart

01.06.2011 - 23.10.2016


Institut für Maschinelle Sprachverarbeitung
Universität Stuttgart

01.06.2011 - 30.06.2016

Wissenschaftliche Mitarbeiterin

Universität Stuttgart

01.03.2015 - 30.06.2015

Wissenschaftliche Mitarbeiterin

Ludwig-Maximilians-Universität München

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Analysing Constructional Change: Linguistic Annotation and Sources of Uncertainty

M. Merten, N. Seemann, in: Proceedings of the 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'18), ACM, 2018, pp. 819-825

This paper presents the various sources of uncertainty we encounter in our project. Our research focus lies on the investigation of language elaboration processes in Middle Low German. We are particularly interested in diachronic constructional changes and constructionalizations involving and affecting all linguistic dimensions. For this, it is necessary to annotate our corpus with Part-of-Speech and constructional tags. Here, we are confronted with gradualness, gradience, and ambiguity as potential sources of uncertainty that complicate the annotation process. Furthermore, due to the historicity of the investigated language, we expect cases of incomplete knowledge and comparative fallacy from the annotators. For this reason, we develop an interface that captures all annotators’ doubts.

    Supporting the Cognitive Process in Annotation Tasks

    N. Seemann, M. Geierhos, M. Merten, D. Tophinke, M.D. Wever, E. Hüllermeier. Supporting the Cognitive Process in Annotation Tasks. 2018.


    Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German

    N. Seemann, M. Merten, M. Geierhos, D. Tophinke, E. Hüllermeier, in: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Association for Computational Linguistics (ACL), 2017, pp. 40-45

    In this paper, we present the annotation challenges we have encountered when working on a historical language that was undergoing elaboration processes. We especially focus on syntactic ambiguity and gradience in Middle Low German, which causes uncertainty to some extent. Since current annotation tools consider construction contexts and the dynamics of the grammaticalization only partially, we plan to extend CorA – a web-based annotation tool for historical and other non-standard language data – to capture elaboration phenomena and annotator unsureness. Moreover, we seek to interactively learn morphological as well as syntactic annotations.

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