Prof. Dr. Stefan Evert



Organisation


Lehrstuhl für Korpus- und Computerlinguistik



Project lead

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RANT: Reconstructing Arguments from Noisy Text (DFG Priority Programme 1999: RATIO)
Prof. Dr. Stefan Evert
(01/01/2018 - 31/12/2020)

(KALLIMACHOS – Centre for digital editions and quantitative analysis at the University of Würzburg):
KALLIMACHOS II: Measures of linguistic complexity for literary stylometry in the KALLIMACHOS Centre for Digital Humanities
Prof. Dr. Stefan Evert
(01/10/2017 - 30/09/2019)

EFE: Exploring the “Fukushima Effect”: Attitudes and opinions towards nuclear power and renewable energy and the emergence of a transnational algorithmic public sphere
Prof. Dr. Stefan Evert
(01/01/2017 - 31/12/2019)

E-SPar: Efficient simulation experiments for large-scale parameter optimisation of machine learning approaches in natural language processing
Prof. Dr. Stefan Evert
(01/10/2016 - 30/09/2017)

Englisches Konstruktikon
Prof. Dr. Stefan Evert; Prof. Dr. Thomas Herbst
(01/01/2016)


Project member

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(KALLIMACHOS – Centre for digital editions and quantitative analysis at the University of Würzburg):
KALLIMACHOS II: Measures of linguistic complexity for literary stylometry in the KALLIMACHOS Centre for Digital Humanities
Prof. Dr. Stefan Evert
(01/10/2017 - 30/09/2019)

EFE: Exploring the “Fukushima Effect”: Attitudes and opinions towards nuclear power and renewable energy and the emergence of a transnational algorithmic public sphere
Prof. Dr. Stefan Evert
(01/01/2017 - 31/12/2019)

E-SPar: Efficient simulation experiments for large-scale parameter optimisation of machine learning approaches in natural language processing
Prof. Dr. Stefan Evert
(01/10/2016 - 30/09/2017)

Computer-based motive assessment
Prof. Dr. Oliver Schultheiss
(01/01/2016)

(KALLIMACHOS – Centre for digital editions and quantitative analysis at the University of Würzburg):
KALLIMACHOS: Corpus-linguistic approaches and statistical methodology in the KALLIMACHOS Centre for Digital Humanities
Prof. Dr. Stefan Evert
(01/10/2014 - 30/09/2017)


Other Research Activities

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Memberships in representative bodies / functions (FAU-internal)
Prof. Dr. Stefan Evert
Board of the Faculty (Membership)
(01/10/2015 - 30/09/2019)
Memberships in representative bodies / functions (FAU-internal)
Prof. Dr. Stefan Evert
Interdisziplinary Center (Member)
(18/11/2014)
Memberships in representative bodies / functions (FAU-internal)
Prof. Dr. Stefan Evert
Interdisziplinary Center (Member)
(24/04/2014)
Organisation of a congress / conference
Prof. Dr. Stefan Evert
CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations
(12/12/2016 - 12/12/2016)
Organisation of a congress / conference
Prof. Dr. Stefan Evert
EmpiriST Shared Task on Automatic Linguistic Annotation of CMC & Web Corpora
(12/08/2016 - 12/08/2016)


Publications (Download BibTeX)

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Evert, S., Dykes, N., & Peters, J. (2018). A quantitative evaluation of keyword measures for corpus-based discourse analysis.
Heinrich, P., Adrian, C., Kalashnikova, O., Schäfer, F., & Evert, S. (2018). A Transnational Analysis of News and Tweets about Nuclear Phase-Out in the Aftermath of the Fukushima Incident. In Andreas Witt, Jana Diesner, Georg Rehm (Eds.), Proceedings of the LREC 2018 “Workshop on Computational Impact Detection from Text Data” (pp. 8 - 16). Miyazaki, JP: Paris: ELRA.
Uhrig, P., Evert, S., & Proisl, T. (2018). Collocation Candidate Extraction from Dependency-Annotated Corpora: Exploring Differences across Parsers and Dependency Annotation Schemes. In Cantos-Gómez P, Almela-Sánchez M (Eds.), Lexical Collocation Analysis: Advances and Applications. (pp. 111–140). Cham: Springer International Publishing.
Proisl, T., Evert, S., Jannidis, F., Schöch, C., Konle, L., & Pielström, S. (2018). Delta vs. N-Gram Tracing: Evaluating the Robustness of Authorship Attribution Methods. In Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T (Eds.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (pp. 3309–3314). Miyazaki, JP: Miyazaki: European Language Resources Association.
Proisl, T., Heinrich, P., Kabashi, B., & Evert, S. (2018). EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions. In Balahur A, Mohammad SM, Hoste V, Klinger R (Eds.), Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (pp. 235–242). Brüssel, BE: Brussels: Association for Computational Linguistics.
Evert, S., Heinrich, P., Henselmann, K., Rabenstein, U., Scherr, E., & Schröder, L. (2017). Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures. In Loukanova R, Liefke K (Eds.), Proceedings of the Workshop on Logic and Algorithms in Computational Linguistics 2017 (LACompLing2017) (pp. 47 - 62). Stockholm, SE: Stockholm: Stockholm University.
Büttner, A., Dimpel, F., Evert, S., Jannidis, F., Pielström, S., Proisl, T.,... Vitt, T. (2017). »Delta« in der stilometrischen Autorschaftsattribution. Zeitschrift für digitale Geisteswissenschaften. https://dx.doi.org/10.17175/2017_006
Evert, S., Uhrig, P., Bartsch, S., & Proisl, T. (2017). E-VIEW-Alation – a Large-Scale Evaluation Study of Association Measures for Collocation Identification. In Iztok K, Carole T, Miloš J, Jelena K, Simon K, and Vít B (Eds.), Electronic Lexicography in the 21st Century. Proceedings of the eLex 2017 Conference (pp. 531–549). Leiden, NL: Brno: Lexical Computing.
Schäfer, F., Evert, S., & Heinrich, P. (2017). Japan's 2014 General Election: Political Bots, Right-Wing Internet Activism and PM Abe Shinzō’s Hidden Nationalist Agenda. Big Data, 5(4), 1 - 16.
Lapesa, G., & Evert, S. (2017). Large-scale evaluation of dependency-based DSMs: Are they worth the effort? In Proceedings of the 15th Annual Meeting of the European Association for Computational Linguistics (EACL 2017): Volume 2, Short Papers (pp. 394-400). Valencia, Spain.

Last updated on 2018-18-05 at 08:32