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ORCIDSarah Schulz
Person information
- affiliation: University of Stuttgart, IMS, Germany
- affiliation: Ghent University, LT3, Belgium
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2020 – today
- 2020
[c14]Sarah Schulz, Jurica Seva, Samuel Rodríguez, Malte Ostendorff, Georg Rehm:
Named Entities in Medical Case Reports: Corpus and Experiments. LREC 2020: 4495-4500- [c13]Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine:
QURATOR: Innovative Technologies for Content and Data Curation. Qurator 2020 - [i5]Sarah Schulz, Jurica Seva, Samuel Rodríguez, Malte Ostendorff, Georg Rehm:
Named Entities in Medical Case Reports: Corpus and Experiments. CoRR abs/2003.13032 (2020) - [i4]Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker
, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine:
QURATOR: Innovative Technologies for Content and Data Curation. CoRR abs/2004.12195 (2020)
2010 – 2019
- 2019
- [j2]Sarah Schulz, Nora Ketschik:
From 0 to 10 million annotated words: part-of-speech tagging for Middle High German. Lang. Resour. Evaluation 53(4): 837-863 (2019) - [i3]Tarek Richard Besold, Pablo Gervás, Evelyn Gius, Sarah Schulz:
Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172). Dagstuhl Reports 9(4): 87-106 (2019) - 2018
- [b1]Sarah Schulz:
The Taming of the Shrew - non-standard text processing in the Digital Humanities. University of Stuttgart, Germany, 2018 - [c12]Nils Reiter, Nora Ketschik, Gerhard Kremer, Sarah Schulz:
Maschinelles Lernen lernen: Ein CRETA-Hackatorial zur reflektierten automatischen Textanalyse. DHd 2018 - [c11]Ina Rösiger, Sarah Schulz, Nils Reiter:
Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena. LaTeCH@COLING 2018: 129-138 - 2017
- [c10]Derek Doran, Sarah Schulz, Tarek R. Besold:
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives. CEx@AI*IA 2017 - [c9]Nora Echelmeyer, Nils Reiter, Sarah Schulz:
Ein PoS-Tagger für "das" Mittelhochdeutsche. DHd 2017 - [c8]Sarah Schulz, Jonas Kuhn:
Multi-modular domain-tailored OCR post-correction. EMNLP 2017: 2716-2726 - [c7]Nils Reiter, Sarah Schulz, Gerhard Kremer, Roman Klinger, Gabriel Viehhauser, Jonas Kuhn:
Teaching Computational Aspects in the Digital Humanities Program at University of Stuttgart - Intentions and Experiences. Teach4DH@GSCL 2017: 43-48 - [i2]Derek Doran, Sarah Schulz, Tarek R. Besold:
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives. CoRR abs/1710.00794 (2017) - 2016
- [j1]Sarah Schulz, Guy De Pauw, Orphée De Clercq, Bart Desmet, Véronique Hoste, Walter Daelemans, Lieve Macken:
Multimodular Text Normalization of Dutch User-Generated Content. ACM Trans. Intell. Syst. Technol. 7(4): 61:1-61:22 (2016) - [c6]Özlem Çetinoglu, Sarah Schulz, Ngoc Thang Vu:
Challenges of Computational Processing of Code-Switching. CodeSwitch@EMNLP 2016: 1-11 - [c5]Sarah Schulz, Jonas Kuhn, Nils Reiter:
Authorship Attribution of Mediaeval German Text: Style and Contents in Apollonius von Tyrland. DH 2016: 883-885 - [c4]Sarah Schulz, Mareike Keller:
Code-Switching Ubique Est - Language Identification and Part-of-Speech Tagging for Historical Mixed Text. LaTeCH@ACL 2016 - [c3]Sarah Schulz, Jonas Kuhn:
Learning from Within? Comparing PoS Tagging Approaches for Historical Text. LREC 2016 - [i1]Özlem Çetinoglu, Sarah Schulz, Ngoc Thang Vu:
Challenges of Computational Processing of Code-Switching. CoRR abs/1610.02213 (2016) - 2014
- [c2]Orphée De Clercq, Sarah Schulz, Bart Desmet, Véronique Hoste:
Towards Shared Datasets for Normalization Research. LREC 2014: 1218-1223 - 2013
- [c1]Orphée De Clercq, Sarah Schulz, Bart Desmet, Els Lefever, Véronique Hoste:
Normalization of Dutch User-Generated Content. RANLP 2013: 179-188
Coauthor Index
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