| Overview of the germeval 2018 shared task on the identification of offensive language M Wiegand, M Siegel, J Ruppenhofer Verlag der Österreichischen Akademie der Wissenschaften, 2018 | 374 | 2018 |
| Dialogue acts in VERBMOBIL-2 J Alexandersson, B Buschbeck-Wolf, T Fujinami, E Maier, N Reithinger, ... | 230 | 1997 |
| Efficient deep processing of Japanese M Siegel, EM Bender arXiv preprint cs/0207005, 2002 | 161 | 2002 |
| Ontology-based information extraction with soba P Buitelaar, P Cimiano, S Racioppa, M Siegel Proceedings of the international conference on language resources and …, 2006 | 148 | 2006 |
| Overview of germeval task 2, 2019 shared task on the identification of offensive language JM Struß, M Siegel, J Ruppenhofer, M Wiegand, M Klenner sa, 2019 | 129 | 2019 |
| An integrated archictecture for shallow and deep processing B Crysmann, A Frank, B Kiefer, S Müller, G Neumann, J Piskorski, ... Proceedings of the 40th Annual Meeting of the Association for Computational …, 2002 | 81 | 2002 |
| The DeepThought core architecture framework U Callmeier, A Eisele, U Schäfer, M Siegel LREC, 2004 | 80 | 2004 |
| Overview of the clef–2022 checkthat! lab on fighting the covid-19 infodemic and fake news detection P Nakov, A Barrón-Cedeño, G da San Martino, F Alam, JM Struß, T Mandl, ... International conference of the cross-language evaluation forum for european …, 2022 | 76 | 2022 |
| HPSG analysis of Japanese M Siegel Verbmobil: Foundations of speech-to-speech translation, 264-279, 2000 | 71 | 2000 |
| Open source machine translation with DELPH-IN F Bond, S Oepen, M Siegel, A Copestake, D Flickinger | 61 | 2005 |
| Combined predictive model–final report D Wennberg, J Dixon, J Billings Kings Fund, 2006 | 54 | 2006 |
| Automatic fake news detection with pre-trained transformer models M Schütz, A Schindler, M Siegel, K Nazemi Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 46 | 2021 |
| Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection. J Köhler, GK Shahi, JM Struß, M Wiegand, M Siegel, T Mandl, M Schütz CLEF (Working Notes), 404-421, 2022 | 40 | 2022 |
| Detox: A comprehensive dataset for German offensive language and conversation analysis C Demus, J Pitz, M Schütz, N Probol, M Siegel, D Labudde Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), 143-153, 2022 | 36 | 2022 |
| Sentiment-Analyse deutschsprachiger Meinungsäußerungen M Siegel, M Alexa Wiesbaden: Springer. Doi 10, 978-3, 2020 | 34 | 2020 |
| Implementing the syntax of Japanese numeral classifiers EM Bender, M Siegel International Conference on Natural Language Processing, 626-635, 2004 | 30 | 2004 |
| Corpora and evaluation tools for multilingual named entity grammar development C Bering, W Droźdźyński, G Erbach, C Guasch, P Homola, S Lehmann, ... Universitätsbibliothek Johann Christian Senckenberg, 2011 | 28 | 2011 |
| Jacy: An implemented grammar of Japanese M Siegel, EM Bender, F Bond (No Title), 2016 | 27 | 2016 |
| OdeNet: Compiling a GermanWordNet from other resources M Siegel, F Bond Proceedings of the 11th global wordnet conference, 192-198, 2021 | 24 | 2021 |
| The syntactic processing of particles in Japanese spoken language M Siegel arXiv preprint cs/9906003, 1999 | 23 | 1999 |
Emily M. BenderProfessor, Dept of Linguistics, University of Washingtonuw.edu의 이메일 확인됨
