Melanie Siegel
Melanie Siegel
Professorin für Informationswissenschaft/semantische Technologien, Hochschule Darmstadt
Verified email at - Homepage
Cited by
Cited by
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
Dialogue acts in VERBMOBIL-2
J Alexandersson, B Buschbeck-Wolf, T Fujinami, E Maier, N Reithinger, ...
Efficient deep processing of Japanese
M Siegel, EM Bender
arXiv preprint cs/0207005, 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
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
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
The DeepThought core architecture framework
U Callmeier, A Eisele, U Schäfer, M Siegel
LREC, 2004
HPSG analysis of Japanese
M Siegel
Verbmobil: Foundations of speech-to-speech translation, 264-279, 2000
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
Open source machine translation with DELPH-IN
F Bond, S Oepen, M Siegel, A Copestake, D Flickinger
Combined Predictive Model–Final Report
D Wennberg, J Dixon, J Billings
Kings Fund, 2006
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
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
Implementing the syntax of Japanese numeral classifiers
EM Bender, M Siegel
International Conference on Natural Language Processing, 626-635, 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
Sentiment-Analyse deutschsprachiger Meinungsäußerungen
M Siegel, M Alexa
Wiesbaden: Springer. Doi 10, 978-3, 2020
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
Jacy: An implemented grammar of Japanese
M Siegel, EM Bender, F Bond
(No Title), 2016
The syntactic processing of particles in Japanese spoken language
M Siegel
arXiv preprint cs/9906003, 1999
Japanese honorification in an HPSG framework
M Siegel
PACLIC 14: 14th Pacific Asia Conference on Language, Information and …, 2000
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