2025
Berger, M. (2025). Transfer-learning German metaphors inspired by Second Language Acquisition. In R. Johansson & S. Stymne (Eds.), Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (Publisher’s Version, Vol. 57, pp. 48–54). Tartu University Pr. https://aclanthology.org/2025.nodalida-1.6.pdf
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Berger, M., Hessler, S., Busse, J. S., Doru, B., Heimgartner, S. A. C., Herzog, J., Schönhoff, J., Stein, J., Tokic, M., Maier, C., & Berger, M. (2025). DEDICAITE – DEtecting AI-generated TExts in a DIdactic Context (Publisher’s Version). https://doi.org/10.21203/rs.3.rs-7682039/v1
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Berger, M., & Scheffler, T. (2025). Can we Operationalize Conceptual Metaphor Cross-Lingually? Journal for Language Technology and Computational Linguistics, 38(1), 5–36. https://doi.org/10.21248/jlcl.38.2025.260
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Clausen, Y., & Scheffler, T. (2025). Annotating candy speech in German YouTube comments: . In I. Rehbein & S. Peng (Eds.), Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025) (Publisher’s Version, pp. 264–269). Assoc. for Computational Linguistics. https://doi.org/10.18653/v1/2025.law-1.21
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Clausen, Y., Scheffler, T., & Wiegand, M. (2025). Overview of the GermEval 2025 Shared Task on Candy Speech Detection: . In U. Heid & C. Wartena (Eds.), Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025) (Publisher’s Version, pp. 388–397). HsH Applied Academics.
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Deck, O., Hüsünbeyi, M., Uhling, L., & Scheffler, T. (2025). Annotation and linguistic analysis of claim types for fact-checking. Linguistics Vanguard, 2025. https://doi.org/10.1515/lingvan-2024-0067
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Hüsünbeyi, M., Seddah, D., & Scheffler, T. (2025). Integrating Semantic Representations in a Cross-Modal Approach to Fact-Checking. In G. Kordopatis-Zilos, D.-C. Stanciu, B. Ionescu, S. Papadopoulos, M. Gerhardt, R. Caldelli, A. Popescu, & V. Schmitt (Eds.), MAD’ 25: Proceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation (Publisher’s Version, pp. 17–27). Association for Computing Machinery. https://doi.org/10.1145/3733567.3735567
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Jurczyk, T., Seidel, R., Bernhard, A., Scheffler, T., & Büssow, J. (2025). Text Mining Tafsir: Compilation and Preliminary Explorations of a Curated Corpus of 80 Qurʾanic Commentaries. Journal of Digital Islamicate Research , 2025(3), 97–167. https://doi.org/10.1163/27732363-bja00010
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Nenchev, I., Scheffler, T., Raithel, L., Kara, E., Wilck, B., Rabe, M., Stötzner, P., & Montag, C. (2025). Long-Term Development of Attitudes towards Schizophrenia and Depression in Scientific Abstracts. In K. Atwell, L. Biester, A. Borah, D. Dementieva, O. Ignat, N. Kotonya, Z. Liu, R. Wan, S. Wilson, & J. Zhao (Eds.), Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI) (Publisher’s Version, pp. 99–113). Assoc. for Computational Linguistics. https://doi.org/10.18653/v1/2025.nlp4pi-1.9
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Reimann, S., & Scheffler, T. (2025a). The Struggles of Large Language Models with Zero- and Few-Shot (Extended) Metaphor Detection. Journal for Language Technology and Computational Linguistics, 38(2), 97–109. https://doi.org/10.21248/jlcl.38.2025.287
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Reimann, S., & Scheffler, T. (2025b). Using Large Language Models to Perform MIPVU-Inspired Automatic Metaphor Detection. In G. Rambelli, F. Ilievski, M. Bolognesi, & P. Sommerauer (Eds.), Proceedings of the 2nd Workshop on Analogical Abstraction in Cognition, Perception, and Language (Analogy-Angle II) (Publisher’s Version, pp. 10–21). Assoc. for Computational Linguistics. https://doi.org/10.18653/v1/2025.analogyangle-1.2
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Scheffler, T. (2025). Social media corpora for analyzing linguistic variation. In L. Cotgrove, L. Herzberg, & H. Lüngen (Eds.), Exploring digitally-mediated communication with corpora [ISBN: 9783111432595] (Publisher’s Version). De Gruyter. https://doi.org/10.1515/9783111434018-014
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Scheffler, T., & Seemann, H. (2025). Remus Gergel, Ingo Reich & Augustin Speyer (eds.)(2022): Particles in German, English, and Beyond. Amsterdam/Philadelphia: John Benjamins. [Review of Remus Gergel, Ingo Reich & Augustin Speyer (eds.)(2022): Particles in German, English, and Beyond. Amsterdam/Philadelphia: John Benjamins.]. Linguistische Berichte, 2025(281), 111–118. Buske. https://doi.org/10.46771/9783967699456_7
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Seemann, H., & Scheffler, T. (2025). German Modal Particles as Discourse Signals. Dialogue & Discourse, 16(1), 1–30. https://doi.org/10.5210/dad.2025.101
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Seemann, H., Scheffler, T., & Stede, M. (2025). The signaling function of modal particles in discourse: [Universitätsbibliothek, Ruhr-Universität Bochum]. https://doi.org/10.13154/294-13433
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2024
Ahrenberg, L., Ainiala, T., Aldrin, E., Holdt, Š. A., Caines, A., Dalianis, H., Dannélls, D., Dobnik, S., Grouin, C., Hämäläinen, L., Henriksson, A., Kokkinakis, D., Lassus, J., Tiedemann, T. L., Lison, P., Lindén, K., Ljunglöf, P., Sánchez, R. M., Nelson, B., … Vu, X.-S. (2024). Introduction. In E. Volodina (Ed.), Workshop on Computational Approaches to Language Data Pseudonymization (CALD-pseudo) – proceedings of the workshop (Publisher’s Version, p. II–III). Assoc. for Computational Linguistics.
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Artemov, N., Küppers, E., Reimann, S., Rodenhausen, L., & Wiemann, A. (2024). Taking MIPVU further around the world – and through the ages: MIPVU for religion-related texts (Publisher’s Version) [Computer software]. Ruhr-Universität Bochum/Karlsruher Institut für Technologie, Collaborative Research Center 1475 “Metaphors of Religion.” https://doi.org/10.46586/mp.299
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Baumann, G., Gutzmann, D., Koopman, J., Liefke, K., Renans, A., & Scheffler, T. (Eds.). (2024). Proceedings of Sinn und Bedeutung 28: Sinn und Bedeutung 28 took place from September 5-8, 2023 and was hosted at Ruhr University Bochum (Publisher’s Version) [Computer software]. Leibniz-Centre General Linguistics (ZAS). https://ojs.ub.uni-konstanz.de/sub/index.php/sub/issue/view/32
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Berger, M., Kiwitt, N. M., & Reimann, S. (2024). Applying transfer learning to German metaphor prediction. In C. Nicoletta , K. Min-Yen , H. Veronique , L. Alessandro , S. Sakriani , & X. Nianwen (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (Publisher’s Version, pp. 1383–1392). ELRA. https://aclanthology.org/2024.lrec-main.123/
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Fricke, L., Grosz, P. G., & Scheffler, T. (2024). Semantic differences in visually similar face emojis. Language and Cognition, 2024. https://doi.org/10.1017/langcog.2024.12
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Hüsünbeyi, M., & Scheffler, T. (2024, February 19). Ontology enhanced claim detection. Published. https://doi.org/10.48550/arxiv.2402.12282
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Nenchev, I., Scheffler, T., Fuente, M. de la, Stuke, H., Wilck, B., Just, S. A., & Montag, C. (2024). Linguistic markers of schizophrenia: a case study of Robert Walser. CLPsych 2024, 41–60.
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Philipp, J. N., Richter, M., Scheffler, T., & van Hout, R. (2024). The role of information in modeling German intensifiers: . Information Structure and Information Theory, 10, 117–145. https://doi.org/10.5281/zenodo.13383791
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Reimann, S., Rodenhausen, L., Elwert, F., & Scheffler, T. (2024). By a thread: encoding online forum data in TEI. Journal of the Text Encoding Initiative, 17, Article 5084. https://doi.org/10.4000/1209k
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Reimann, S., & Scheffler, T. (2024a). Metaphors in online religious communication: a detailed dataset and cross-genre metaphor detection. In C. Nicoletta , K. Min-Yen , H. Veronique , L. Alessandro , S. Sakriani , & X. Nianwen (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (Publisher’s Version, pp. 11236–11246). ELRA. https://aclanthology.org/2024.lrec-main.982
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Reimann, S., & Scheffler, T. (2024b). When is a metaphor actually novel?: Annotating metaphor novelty in the context of automatic metaphor detection. In S. Henning & M. Stede (Eds.), The 18th Linguistic Annotation Workshop (LAW-XVIII) Co-located with EACL 2024 (Publisher’s Version, pp. 87–97). Assoc. for Computational Linguistics. https://aclanthology.org/2024.law-1.9
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Scheffler, T. (2024). 💪🖤💛: Emojis und Gruppenidentität auf Twitter. In S. Meier (Ed.), Reingegrätscht (Publisher’s Version, pp. 73–82). Narr Francke Attempo.
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Scheffler, T., & Nenchev, I. (2024). Affective, semantic, frequency, and descriptive norms for 107 face emojis. Behavior Research Methods, 2024. https://doi.org/10.3758/s13428-024-02444-x
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Scheffler, T., & Seemann, H. (2024). DAS TWIBLOCOP: ein multimediales Korpus aus Blogposts und Tweets . Zeitschrift Korpora Deutsch Als Fremdsprache : KorDaF , 4(2), 264–268. https://kordaf.tujournals.ulb.tu-darmstadt.de/article/id/4130/
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Scheffler, T., Solopova, V., & Popa-Wyatt, M. (2024). Verbreitungsmechanismen schädigender Sprache im Netz: Anatomie zweier Shitstorms. In R. Gaderer & V. Grömmke (Eds.), Hass teilen (1st ed.). transcript.
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Seemann, H. (2024). Modalpartikel [OnlineRessource]. Published. https://www.degruyter.com/database/WSK/entry/wsk_idbf88e882-47e4-44a2-8402-cff186acd52e/html
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Seemann, H., Shahmohammadi, S., Stede, M., & Scheffler, T. (2024a). Discourse-Level Features in Spoken and Written Communication. In B. Krenn, D. Gromann , B. Heinisch , M. Wiegand , P. H. Luz de Araujo, B. Roth, & A. Baumann (Eds.), Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024) (Publisher’s Version, pp. 292–302). Assoc. for Computational Linguistics. https://aclanthology.org/2024.konvens-main.29
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Seemann, H., Shahmohammadi, S., Stede, M., & Scheffler, T. (2024b). Spoken vs. Written Computer-Mediated Communiation. In C. Poudat & M. Guernut (Eds.), Proceedings of the 11th Conference on CMC and Social Media Corpora for the Humanities (Publisher’s Version, pp. 70–74). University Côte d’Azur and CORLI.
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Uka, A., & Berger, M. (2024). Could style help plagiarism detection?: A sample-based quantitative study of correlation between style specifics and plagiarism. Proceedings of the 16th International Conference on Computational Processing of the Portuguese Language, 103–108. https://aclanthology.org/2024.propor-2.14/
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2023
Clausen, Y. (2023). German question tags: a computational analysis. In Š. Artjoms , F. Jannidis, & Iza Romanowska (Eds.), CHR 2023 Computational Humanities Research 2023 (Publisher’s Version, Vol. 3558, pp. 441–460). https://ceur-ws.org/Vol-3558/paper5269.pdf
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Cortez Espinoza, M., & Fricke, L. (2023). On the interpretation of German einige: the effect of tense and cardinality. Experiments in Linguistics Meaning, 2, 49–60. https://doi.org/10.3765/elm.2.5414
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Cremers, A., Fricke, L., & Onea, E. (2023). The importance of being earnest: How truth and evidence affect participants’ judgments. Glossa Psycholinguistics, 2(1). https://doi.org/10.5070/g6011172
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Deck, O. (2023). Bullshit, pragmatic deception, and natural language processing. Dialogue & Discourse, 14(1), 56–87. https://doi.org/10.5210/dad.2023.103
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Fricke, L., Destruel, E., Zimmermann, M., & Onea, E. (2023). The pragmatics of exhaustivity in embedded questions: : an experimental comparison of know and predict in german and english. Frontiers in Psychology, 14, Article 1148275. https://doi.org/10.3389/fpsyg.2023.1148275
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Scheffler, T., Kern, L.-A., & Seemann, H. (2023). Individuelle linguistische Variabilität in sozialen Medien: ein multimediales Korpus. In M. Kupietz (Ed.), Neue Entwicklungen in der Korpuslandschaft der Germanistik (Publisher’s Version, Vol. 11, pp. 87–97). Gunter Narr Verlag. https://elibrary.narr.digital/content/chapter/10.24053/9783823396024_10.pdf
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Scheffler, T., & Malamud, S. A. (2023). “Won’t you?” reverse-polarity question tags in American English as a window into the semantics-pragmatics interface. Linguistics and Philosophy, 46, 1285–1327. https://doi.org/10.1007/s10988-023-09385-2
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Scheffler, T., Richter, M., & Hout, R. van. (2023). Tracing and classifying German intensifiers via information theory. Language Sciences, 96, Article 101535. https://doi.org/10.1016/j.langsci.2022.101535
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Shahmohammadi, S., Seemann, H., Stede, M., & Scheffler, T. (2023). Encoding discourse structure: comparison of RST and QUD. In M. Strube, C. Braud, C. Hardmeier, J. J. Li, S. Loáiciga, & A. Zeldes (Eds.), Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023) (Publisher’s Version, pp. 89–98). Assoc. for Computational Linguistics. https://doi.org/10.18653/v1/2023.codi-1.11
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2022
Berger, M. (2022). Transfer learning parallel metaphor using bilingual embeddings. In D. Ghosh, B. Beigman Klebanov, S. Muresan, A. Feldman, S. Poria, & T. Chakrabarty (Eds.), Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) (Publisher’s Version, pp. 13–23). Assoc. for Computational Linguistics. https://aclanthology.org/2022.flp-1.3.pdf
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Clausen, Y., & Scheffler, T. (2022). A corpus-based analysis of meaning variations in German tag questions : evidence from spoken and written conversational corpora [OnlineRessource]. Corpus Linguistics and Linguistic Theory, 18(1), 1–31. https://doi.org/10.1515/cllt-2019-0060
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Clausen, Y., & Stede, M. (2022). Discourse connectives and their arguments: an experiment on anaphoricity in German. Linguistics Vanguard, 8(1), 95–111. https://doi.org/10.1515/lingvan-2021-0102
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Hüsünbeyi, M., Deck, O., & Scheffler, T. (2022). RUB-DFL at CheckThat! 2022: transformer models and linguistic features for identifying relevant claims. In G. Faggioli, N. Ferro, A. Hanbury, & M. Potthast (Eds.), CLEF-WN 2022: CLEF 2022 working notes (No. 41; Publisher’s Version, Vol. 3180). RWTH Aachen. https://ceur-ws.org/Vol-3180/paper-41.pdf
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Hüsünbeyi, M., Didar, A., & Özgür, A. (2022). Identifying hate speech using neural networks and discourse analysis techniques. In K. Adebayo, R. Nanda, K. Verma, & B. Davis (Eds.), Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference (Publisher’s Version, pp. 32–41). European Language Resources Assoc. – ELRA. https://aclanthology.org/2022.lateraisse-1.5/
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Reimann, S., Stymne, S., & Reimann, S. (2022, August 16). Exploring Cross-Lingual Transfer to Counteract Data Scarcity for Causality Detection. Companion Proceedings of the Web Conference 2022. Published. https://doi.org/10.1145/3487553.3517136
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Scheffler, T., Brandt, L., Fuente, M. de la, & Nenchev, I. (2022). Stimulus data and experimental design for a self-paced reading study on emoji-word substitutions. Data in Brief, 38, Article 108399. https://doi.org/10.1016/j.dib.2022.108399
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Scheffler, T., Kern, L.-A., & Seemann, H. (2022). The medium is not the message: individual level register variation in blogs vs. tweets. Register Studies, 4(2), 171–201. https://doi.org/10.1075/rs.22009.sch
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Scheffler, T., Solopova, V., Zolotarenko, O., & Razno, M. (2022a). A computational lexicon of ukrainian discourse connectives. In O. Ignatenko, V. Kharchenko, V. Kobets, H. Kravtsov, Y. Tarasich, V. Ermolayev, D. Esteban, V. Yakovyna, & A. Spivakovsky (Eds.), ICTERI 2021 Workshops (Publisher’s Version, Vol. 1635, pp. 525–537). Springer International Publishing. https://doi.org/10.1007/978-3-031-14841-5_35
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Scheffler, T., Solopova, V., Zolotarenko, O., & Razno, M. (2022b). Automated identification of discourse connectives in ukrainian. In V. Ermolayev, D. Esteban, V. Yakovyna, H. C. Mayr, G. Zholtkevych, M. Nikitchenko, & A. Spivakovsky (Eds.), Information and Communication Technologies in Education, Research, and Industrial Applications (Publisher’s Version, Vol. 1698, pp. 87–108). Springer International Publishing. https://doi.org/10.1007/978-3-031-20834-8_5
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Seemann, H., & Scheffler, T. (2022). Differentiating social media texts via clustering. In F. Karsdorp, A. Lassche, & K. Nielbo (Eds.), CHR 2022: Computational Humanities Research 2022 (Publisher’s Version, Vol. 3290, pp. 177–188). RWTH. https://ceur-ws.org/Vol-3290/
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Yılmaz, T., & Scheffler, T. (2022). Song authorship attribution: a lyrics and rhyme based approach. International Journal of Digital Humanities, 2022. https://doi.org/10.1007/s42803-022-00050-x
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2021
Berger, M., & Goldstein, E. (2021). Increasing sentence-level comprehension through text classification of epistemic functions. In C. Bonial & N. Xue (Eds.), The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop (Publisher’s Version, pp. 139–150). Assoc. for Computational Linguistics. https://aclanthology.org/2021.law-1.15.pdf
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Clausen, Y. (2021). You shall know a tag by the context it occurs in: an analysis of German tag questions and their responses in spontaneous conversations. In A. Holtz, Iva Kovač , R. Puggaard-Rode, & Joanna Wall (Eds.), Proceedings of the 29th Conference of the Student Organization of Linguistics in Europe, 2021 (Publisher’s Version, pp. 116–140). Leiden University Pr.
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Reimann, S., & Dakota, D. (2021). Examining the Effects of Preprocessing on the Detection of Offensive Language in German Tweets. In K. Evang (Ed.), Proceedings of the 17th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS) (Publisher’s Version, pp. 159–169). Assoc. for Computational Linguistics. https://aclanthology.org/2021.konvens-1.14
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Scheffler, T., Brandt, L., Fuente, M. de la, & Nenchev, I. (2021). The processing of emoji-word substitutions: A self-paced-reading study. Computers in Human Behavior, 127, Article 107076. https://doi.org/10.1016/j.chb.2021.107076
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Scheffler, T., & Malamud, S. A. (2021). “Won’t you?”: question tags in American English as a window into the semantics-pragmatics interface; draft submitted for peer review (Preprint) [OnlineRessource]. https://semanticsarchive.net/Archive/mNmMzViM
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Scheffler, T., & Seemann, H. (2021). Individual linguistic variability in social media (Publisher’s Version). Digital Humanities Day, Bochum. https://doi.org/10.13154/294-7871
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Scheffler, T., Solopova, V., & Popa-Wyatt, M. (2021). The Telegram chronicles of online harm [OnlineRessource]. Journal of Open Humanities Data, 7(9). https://doi.org/10.5334/johd.31
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Scheffler, T., Solopova, V., Zolotarenko, O., & Razno, M. (2021). A computational lexicon of Ukrainian discourse connectives. Proceedings of the 1st Ukrainian Natural Language Processing Workshop. Published. Ukrainian Natural Language Processing Workshop, Kherson. http://icteri.org/icteri-2021/proceedings/volume-2/202110692.pdf
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Solopova, V., Scheffler, T., & Popa-Wyatt, M. (2021). A Telegram corpus for hate speech, offensive language, and online harm [OnlineRessource]. Journal of Open Humanities Data, 7(9). https://doi.org/10.5334/johd.32
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Zaman, Md. M. uz, Schaffer, S., & Scheffler, T. (2021a). Comparing BERT with an intent based question answering setup for open-ended questions in the museum domain. Proceedings of the 32. Konferenz Elektronische Sprachsignalverarbeitung. Published. ESSV 2021, Berlin. http://www.essv.de/essv2021/pdfs/35_mahmud_v2.pdf
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Zaman, Md. M. uz, Schaffer, S., & Scheffler, T. (2021b). Factoid and open-ended question answering with BERT in the museum domain. Proceedings of Qurator 2021, 2836. https://tscheffler.github.io/papers/mahmudEtal2021-qurator.pdf
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2020
Aktaş, B., Clausen, Y., Scheffler, T., & Stede, M. (2020). Diskursstrategien in Sozialen Medien. In A. Schmidt, H. Lobin, & K. Marx (Eds.), Deutsch in Sozialen Medien (Publisher’s Version, 1st ed., pp. 369–371). De Gruyter. https://doi.org/10.1515/9783110679885-023
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Berger, M. (2020). Evaluating semantic relation alignment in historical bibles using historical embeddings. Digital Humanities 2020 , Ottawa. https://dh2020.adho.org/wp-content/uploads/2020/07/563_EvaluatingSemanticRelationAlignmentinHistoricalBiblesusingHistoricalEmbeddings.html
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Bevacqua, L., & Scheffler, T. (2020). Form variation of pronominal it-clefts in written English. Linguistics Vanguard, 6(1). https://doi.org/10.1515/lingvan-2019-0066
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Clausen, Y., & Scheffler, T. (2020a). Commitments in German tag questions: an experimental study. Virtual SemDial 24 (WatchDial). Published. Workshop on the Semantics and Pragmatics of Dialogue (WatchDial), Waltham. http://semdial.org/anthology/Z20-Clausen_semdial_0014.pdf
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Clausen, Y., & Scheffler, T. (2020b). A corpus-based analysis of meaning variations in German tag questions : evidence from spoken and written conversational corpora [OnlineRessource]. Corpus Linguistics and Linguistic Theory, 18(1), 1–31. https://doi.org/10.1515/cllt-2019-0060
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Deremetz, A., & Scheffler, T. (2020). Die Retribalisierung der Gesellschaft? Transformationen von Twitter-Diskursen zu #DSGVO im Zeitverlauf. Zeitschrift für Kultur- und Kollektivwissenschaft, 6(2), 171–211. https://doi.org/10.14361/zkkw-2020-060209
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Fricke, L. (2020). A southern German use of prefield-es: evidence from the corpus and an experimental study. Zeitschrift Für Sprachwissenschaft, 39(1), 41–77. https://doi.org/10.1515/zfs-2020-2012
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Labropoulou, P., Gkirtzou, K., Gavriilidou, M., Deligiannis, M., Galanis, D., Piperidis, S., Rehm, G., Berger, M., Mapelli, V., Rigault, M., Arranz, V., Choukri, K., Backfried, G., Gómez-Pérez, J. M., & Garcia-Silva, A. (2020). Making metadata fit for next generation language technology platforms: The metadata schema of the european language grid. In N. Calzolari (Ed.), LREC 2020 Marseille (pp. 3428–3437). The European Language Resources Assoc. (ELRA). https://aclanthology.org/2020.lrec-1.420.pdf
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Rehm, G., Berger, M., Elsholz, E., Hegele, S., Kintzel, F., Marheinecke, K., Piperidis, S., Deligiannis, M., Galanis, D., Gkirtzou, K., Labropoulou, P., Bontcheva, K., Jones, D., Roberts, I., Hajič, J., Hamrlová, J., Kačena, L., Choukri, K., Arranz, V., … Klejch, O. (2020). European language grid: An overview. In N. Calzolari (Ed.), LREC 2020 Marseille (pp. 3366–3380). The European Language Resources Assoc. (ELRA). https://aclanthology.org/2020.lrec-1.413.pdf
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Rehm, G., Zaczynska, K., Moreno-Schneider, J., Ostendorff, M., Bourgonje, P., Berger, M., Rauenbusch, J., Schmidt, A., & Wild, M. (2020). Towards discourse parsing-inspired semantic storytelling. Proceedings of the Conference on Digital Curation Technologies (Qurator 2020), 2535. http://ceur-ws.org/Vol-2535/paper_18.pdf
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Sadler, P., Scheffler, T., & Schlangen, D. (2020). Spatial attention as an interface for image captioning models (Publisher’s Version) [OnlineRessource]. https://arxiv.org/pdf/2010.11701.pdf
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Scheffler, T. (2020a). Auf den Spuren der Sprache im Netz [Interview]. https://wdrmedien-a.akamaihd.net/medp/podcast/weltweit/fsk0/232/2327114/wdr5scalahintergrundkultur_2020-12-22_aufdenspurenderspracheimnetz_wdr5.mp3
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Scheffler, T. (2020b). Book review of Beißwenger/Pappert (2019) “Handeln mit Emojis: Grundriss einer Linguistik kleiner Bildzeichen in der WhatsApp-Kommunikation” [Review of Book review of Beißwenger/Pappert (2019) “Handeln mit Emojis: Grundriss einer Linguistik kleiner Bildzeichen in der WhatsApp-Kommunikation”]. Journal für Medienlinguistik : jfml = Journal for Media Linguistics, 3(1), 46–50. Institut für Deutsche Sprache. https://doi.org/10.21248/jfml.2020.40
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