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Sabine Weber
Observed name:
Weber, Sabine
Observed institutions:
German Research Centre for Artificial Intelligence,
Technische Universität Berlin,
University of Bamberg,
University of Edinburgh
ORCID:
0009-0007-6340-7974
Observed ORCID:
0009-0007-6340-7974
OpenAlex ID:
A5017349453
Which Demographics do LLMs Default to During Annotation?
2025
·
Johannes Schäfer
, Aidan Combs
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
9
PDF
Different German and English Coreference Resolution Models for Multi-domain Content Curation Scenarios
2018
·
Ankit Srivastava
, Sabine Weber
, et al.
·
Lecture notes in computer science
·
5
PDF
A Marker Passing Approach to Winograd Schemas
2018
·
Johannes Fähndrich
, Sabine Weber
, et al.
·
Lecture notes in computer science
·
5
Design and Use of a Semantic Similarity Measure for Interoperability Among Agents
2016
·
Johannes Fähndrich
, Sabine Weber
, et al.
·
Lecture notes in computer science
·
4
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing
2021
·
Sabine Weber
, Mark Steedman
·
1
PDF
Construction and Alignment of Multilingual Entailment Graphs for Semantic Inference
2019
·
Sabine Weber
, Mark Steedman
·
Edinburgh Research Explorer (University of Edinburgh)
·
1
PDF
Categorical Emotions or Appraisals - Which Emotion Model Explains Argument Convincingness Better?
2026
·
Lynn Greschner
, Meike Bauer
, et al.
·
Language Resources and Evaluation Conference (LREC)
PDF
Less Is More? The Role of Demographic Author Information in Emotion Classification of Ambiguous Text
2026
·
Sabine Weber
, Lynn Greschner
, et al.
·
Language Resources and Evaluation Conference (LREC)
Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework and the ContArgA Corpus
2026
·
Lynn Greschner
, Sabine Weber
, et al.
·
Language Resources and Evaluation Conference (LREC)
Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework
2025
·
Greschner, Lynn
, Weber, Sabine
, et al.
·
arXiv (Cornell University)
PDF
Which Demographics do LLMs Default to During Annotation?
2024
·
Schäfer, Johannes
, Combs, Aidan
, et al.
·
arXiv (Cornell University)
PDF
Fine-grained General Entity Typing in German using GermaNet
2021
·
Sabine Weber
, Mark Steedman
PDF
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Works count:
17
Citation count:
25
H-index:
4
I10-index:
Year
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Type