ZORA Publikationsliste

Publikationen

• Wastl, M., Vamvas, J., Calleri, S., & Sennrich, R. (2025). 20min-XD: A Comparable Corpus of Swiss News Articles (J. Gerber, M. Cieliebak, D. Tuggener, & M. Hürlimann, Eds.; pp. 1–10). Association for Computational Linguistics. https://aclanthology.org/2025.swisstext-1.1/
• Fischer, D. P., & Volk, M. (2025). LLM-based Translation for Latin: Summaries Improve Machine Translation (J. Gerber, M. Cieliebak, D. Tuggener, & M. Hürlimann, Eds.; No. 10; pp. 75–80). Association for Computational Linguistics. https://aclanthology.org/2025.swisstext-1.7/
• Bakteev, O., Salamanca, L., Brandenberger, L., & Schlosser, S. (2025). embed2discover: the NLP Tool for Human-In-The-Loop, Dictionary-Based Content Analysis (J. Gerber, M. Cielibak, D. Tuggener, & M. Hürlimann, Eds.; No. 10; pp. 120–132). Association for Computational Linguistics. https://aclanthology.org/2025.swisstext-1.13/
• Klenner, M., Göhring, A., & Amsler, M. (2020). Harmonization Sometimes Harms (S. Ebling, D. Tuggener, M. Hürlimann, & M. Volk, Eds.). swisstext-and-konvens-2020. http://swisstext-and-konvens-2020.org
• Ebling, S., Tuggener, D., Hürlimann, M., Cieliebak, M., & Volk, M. (Eds.). (2020). Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS) : Vol. Vol-2624. CEUR-ws. http://ceur-ws.org/Vol-2624/
• Sugisaki, K., & Tuggener, D. (2018, September). German Compound Splitting Using the Compound Productivity of Morphemes The Conference on Natural Language Processing / Die Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2018), Wien.
• Schneider, G. (2018). Differences between Swiss High German and German High German via data-driven methods In M. Cieliebak, D. Tuggener, & F. Benites (Eds.), CEUR Workshop Proceedings (No. 2226; pp. 17–25). CEUR-WS. http://ceur-ws.org/Vol-2226/
• Graën, J., Bertamini, M., & Volk, M. (2018). Cutter – a Universal Multilingual Tokenizer In M. Cieliebak, D. Tuggener, & F. Benites (Eds.), CEUR Workshop Proceedings (No. 2226; pp. 75–81). CEUR-WS. http://ceur-ws.org/Vol-2226/
• Tuggener, D., & Businger, M. (2018). Needles in Haystacks: Semi-Automatic Identification of Regional Grammatical Variation in Standard German In E. Fuß, M. Konopka, B. Trawiński, & U. H. Waßner (Eds.), Grammar and Corpora 2016 (No. 361; pp. 313–335). Heidelberg University Publishing. https://doi.org/10.17885/heiup.361.509
• Klenner, M., Clematide, S., & Tuggener, D. (2017, April 23). Verb-mediated Composition of Attitude Relations Comprising Reader and Writer Perspective 18th International Conference on Computational Linguistics and Intelligent Text Processing, Budapest. https://doi.org/10.1007/978-3-319-77116-8_11
• Luong, N. Q., Popescu-Belis, A., Rios Gonzales, A., & Tuggener, D. (2017). Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities 631–636. https://doi.org/10.18653/v1/e17-2100
• Tuggener, D. (2017). A method for in-depth comparative evaluation: How (dis)similar are outputs of POS taggers, dependency parsers and coreference resolvers really? 188–198. https://aclweb.org/anthology/E/E17/E17-1018.pdf
• Rios, A., & Tuggener, D. (2017). Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation 657–662. https://aclweb.org/anthology/E/E17/E17-2104.pdf
• Klenner, M., Tuggener, D., & Clematide, S. (2017, April 3). Stance Detection in Facebook Posts of a German Right-wing Party LSDSem 2017/LSD-Sem Linking Models of Lexical, Sentential and Discourse-level Semantics, Valencia.
• Tuggener, D. (2016). Incremental Coreference Resolution for German (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-124915
• Tuggener, D., & Klenner, M. (2014). A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks 21–29.
• Tuggener, D. (2014). Coreference resolution evaluation for higher level applications 231–235. http://aclweb.org/anthology//E/E14/
• Schneider, G., Clematide, S., Ellendorff, T., Tuggener, D., Rinaldi, F., & Grigonyte, G. (2013). UZH in BioNLP 2013 116–120. http://www.aclweb.org/anthology/W13-2016
• Tuggener, D., & Klenner, M. (2012). Non-negative Matrix Factorisation-based Verb Semantics for 3rd Person Pronoun Resolution 250–254. https://doi.org/10.1109/ICSC.2012.64
• Klenner, M., & Tuggener, D. (2011). An incremental entity-mention model for coreference resolution with restrictive antecedent accessibility (G. Angelova, K. Bontcheva, R. Mitkov, & N. Nikolov, Eds.; pp. 178–185).
• Klenner, M., & Tuggener, D. (2011). An incremental model for coreference resolution with restrictive antecedent accessibility 81–85. http://aclweb.org/anthology-new/W/W11/W11-1912.pdf
• Tuggener, D., Klenner, M., Schneider, G., Clematide, S., & Rinaldi, F. (2011). An incremental model for the coreference resolution task of BioNLP 2011 151–152. http://aclweb.org/anthology-new/W/W11/W11-1823.pdf
• Klenner, M., Tuggener, D., & Fahrni, A. (2010). Inkrementelle Koreferenzanalyse für das Deutsche In M. Pinkal, I. Rehbein, S. Schulte im Walde, & A. Storrer (Eds.), Semantic Approaches in Natural Language Processing (KONVENS-Proceedings) (pp. 37–46).
• Klenner, M., Tuggener, D., Fahrni, A., & Sennrich, R. (2010). Anaphora Resolution with Real Preprocessing ICETAL 2010, 7th International Conference on Natural Language Processing, Reykjavik, Iceland, 6233, 215–225. https://doi.org/10.1007/978-3-642-14770-8_25