Lehrstuhl für Korpus- und Computerlinguistik


The computational corpus linguistics group carries out foundational methodological research on the quantitative analysis of large text corpora. The algorithms and software tools developed by the group support innovative studies in the digital humanities and social sciences as well as practical applications in language technology. A particular focus lies on understanding cooccurrence phenomena and their application in corpus-based discourse analysis.

Bismarckstraße 6
91054 Erlangen

Research Fields

Collocations, multiword expressions and corpus-based discourse analysis
Corpus tools and language technology
Further research
Methodological foundations of corpus research and digital humanities

Related Project(s)

Go to first page Go to previous page 1 of 2 Go to next page Go to last page

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

Publications (Download BibTeX)

Go to first page Go to previous page 3 of 5 Go to next page Go to last page

Evert, S. (2014). Distributional Semantics in R with the wordspace Package. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations (pp. 110–114). Dublin, Ireland.
Evert, S., Proisl, T., Greiner, P., & Kabashi, B. (2014). SentiKLUE: Updating a polarity classifier in 48 hours. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval-2014) (pp. 551–555). Dublin, Ireland.
Lapesa, G., Evert, S., & Schulte im Walde, S. (2014). Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models. In Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) (pp. 160–170). Dublin, Ireland.
Proisl, T., Evert, S., Greiner, P., & Kabashi, B. (2014). SemantiKLUE: Robust semantic similarity at multiple levels using maximum weight matching. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval-2014) (pp. 532–540). Dublin, Ireland.
Schulze Wettendorf, C., Jegan, R., Körner, A., Zerche, J., Plotnikova, N., Moreth, J.,... Evert, S. (2014). SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) (pp. 578-584). Dublin, Ireland.
Lapesa, G., & Evert, S. (2014). A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection. Transactions of the Association for Computational Linguistics, 2, 531–545.
Lapesa, G., & Evert, S. (2014). NaDiR: Naive Distributional Response Generation. In Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex) (pp. 50–59). Dublin, Ireland.
Ansorge, U., Reynvoet, B., Hendler, J., Oettl, L., & Evert, S. (2013). Conditional automaticity in subliminal morphosyntactic priming. Psychological research, 77, 399–421.
Greiner, P., Proisl, T., Evert, S., & Kabashi, B. (2013). KLUE-CORE: A regression model of semantic textual similarity. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity (pp. 181–186). Atlanta, Georgia, USA: Association for Computational Linguistics.
Lapesa, G., & Evert, S. (2013). Evaluating Neighbor Rank and Distance Measures as Predictors of Semantic Priming. In Proceedings of the ACL Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2013) (pp. 66--74). Sofia, Bulgaria.
Proisl, T., Greiner, P., Evert, S., & Kabashi, B. (2013). KLUE: Simple and robust methods for polarity classification. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (pp. 395–401). Atlanta, GA: Association for Computational Linguistics.
Biemann, C., Bildhauer, F., Evert, S., Goldhahn, D., Quasthoff, U., Schäfer, R.,... Zesch, T. (2013). Scalable Construction of High-Quality Web Corpora. Journal for language technology and computational linguistics, 28(2), 23–59.
Evert, S. (2013). Tools for the acquisition of lexical combinatorics. In Gouws RH, Heid U, Schweickard W, Wiegand HE (Eds.), Dictionaries. An International Encyclopedia of Lexicography. Supplementary volume: Recent Developments with Focus on Electronic and Computational Lexicography (HSK 5.4) (pp. 1415–1432). Berlin, New York: Mouton de Gruyter.
Uhrig, P., & Proisl, T. (2012). Less hay, more needles – using dependency-annotated corpora to provide lexicographers with more accurate lists of collocation candidates. Lexicographica, 28, 141–179. https://dx.doi.org/10.1515/lexi.2012-0009
Boleda, G., Evert, S., Gehrke, B., & McNally, L. (2012). Adjectives as Saturators vs. Modifiers: Statistical Evidence. In Aloni M, Kimmelman V, Roelofsen F, Sassoon GW, Schulz K, Westera M (Eds.), Logic, Language and Meaning. Proceedings of the 18th Amsterdam Colloquium. (pp. 112–121). Berlin, Heidelberg: Springer.
Kabashi, B. (2012). Korpuse gjuhësore për shqipen. In Ismajli Rexhep (Eds.), Shqipja dhe gjuhët e Ballkanit / Albanian and Balkan Languages (pp. 627–634). Prishtinë / Tiranë: Akademia e Shkencave dhe e Arteve e Kosovës / Akademia e Shkencave e Shqipërisë.
Proisl, T. (2012). Automatically exploring lexical tendencies in English. In Mukherjee Joybrato, Huber Magnus (Eds.), Corpus Linguistics and Variation in English: Theory and Description. (pp. 143–154). Amsterdam: Rodopi.
Michelbacher, L., Evert, S., & Schütze, H. (2011). Asymmetry in Corpus-Derived and Human Word Associations. Corpus linguistics and linguistic theory, 7(2), 245–276.
Evert, S., & Hardie, A. (2011). Twenty-first century Corpus Workbench: Updating a query architecture for the new millennium. In Proceedings of the Corpus Linguistics 2011 Conference. Birmingham, UK.
Kabashi, B. (2011). Pasurimi dhe përmirësimi i standardit të gjuhës vështruar nga pikëpamja e përpunimit teknologjik të gjuhëve natyrore sot. In Ardian Marashi (Eds.), Shqipja në etapën e sotme: politikat e pasurimit dhe të përmirësimit të standardit (pp. 371 – 383). Tiranë: Qendra e Studime Albanologjike.

Last updated on 2019-24-04 at 10:19