Prof. Dr. Stephanie Evert

Lehrstuhl für Korpus- und Computerlinguistik

Arguing Brexit on Twitter. A corpus linguistic study (2019) Dykes N, Heinrich P, Evert S Conference contribution, Abstract of lecture Reconstructing Twitter arguments with corpus linguistics (2019) Dykes N, Heinrich P, Evert S Conference contribution, Abstract of lecture Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures (2019) Evert S, Heinrich P, Henselmann K, Rabenstein U, Scherr E, Schmitt M, Schröder L Journal article EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions (2018) Proisl T, Heinrich P, Kabashi B, Evert S Conference contribution, Original article Delta vs. N-Gram Tracing: Evaluating the Robustness of Authorship Attribution Methods (2018) Proisl T, Evert S, Jannidis F, Schöch C, Konle L, Pielström S Conference contribution, Original article A Transnational Analysis of News and Tweets about Nuclear Phase-Out in the Aftermath of the Fukushima Incident (2018) Heinrich P, Adrian C, Kalashnikova O, Schäfer F, Evert S Conference contribution, Conference Contribution Collocation Candidate Extraction from Dependency-Annotated Corpora: Exploring Differences across Parsers and Dependency Annotation Schemes (2018) Uhrig P, Evert S, Proisl T Book chapter / Article in edited volumes A quantitative evaluation of keyword measures for corpus-based discourse analysis (2018) Evert S, Dykes N, Peters J Conference contribution, Conference Contribution »Delta« in der stilometrischen Autorschaftsattribution (2017) Büttner A, Dimpel FM, Evert S, Jannidis F, Pielström S, Proisl T, Reger I, et al. Journal article, Original article Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures (2017) Evert S, Heinrich P, Henselmann K, Rabenstein U, Scherr E, Schröder L Conference contribution, Conference Contribution