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Tim Schopf
Observed names:
Schopf, Tim,
T. Schopf,
TIM SCHOPF
Institutions:
National Institute of Informatics,
Center for Scalable Data Analytics and Artificial Intelligence,
Technische Universität Dresden
Observed institutions:
University of Stuttgart,
National Institute of Informatics,
Center for Scalable Data Analytics and Artificial Intelligence,
Technical University of Munich,
Technische Universität Dresden
ORCID:
0000-0003-3849-0394
Observed ORCID:
0000-0003-3849-0394
OpenAlex ID:
A5037301059
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches
2022
·
Tim Schopf
, Daniel Braun
, et al.
·
International Conference on Natural Language Processing and Information Retrieval (NLPIR)
·
72
PDF
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
2022
·
Phillip Schneider
, Tim Schopf
, et al.
·
Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP)
·
42
PDF
PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction
2022
·
Tim Schopf
, Simon Klimek
, et al.
·
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
·
41
Lbl2Vec: An Embedding-based Approach for Unsupervised Document Retrieval on Predefined Topics
2021
·
Tim Schopf
, Daniel Braun
, et al.
·
International Conference on Web Information Systems and Technologies
·
27
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
2022
·
Schneider, Phillip
, Schopf, Tim
, et al.
·
arXiv (Cornell University)
·
18
PDF
Exploring the Landscape of Natural Language Processing Research
2023
·
Tim Schopf
, Karim Arabi
, et al.
·
13
PDF
Fatigue behavior and lifetime assessment of an austenitic stainless steel in the VHCF regime at ambient and elevated temperatures
2023
·
Tim Schopf
, Stefan Weihe
, et al.
·
Fatigue & Fracture of Engineering Materials & Structures
·
9
PDF
A Short-Time Approach for Fatigue Life Evaluation of AISI 347 Steel for Nuclear Power Energy Applications
2021
·
Tobias Bill
, Ruth Acosta
, et al.
·
Applied Sciences
·
9
PDF
Correlation of load drop and crack initiation criteria in fatigue life experiments of metallic materials
2021
·
Klaus Heckmann
, Jürgen Sievers
, et al.
·
Engineering Fracture Mechanics
·
8
Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification
2023
·
Tim Schopf
, Daniel Braun
, et al.
·
Lecture notes in business information processing
·
7
Efficient Domain Adaptation of Sentence Embeddings Using Adapters
2023
·
Tim Schopf
, Dennis N. Schneider
, et al.
·
5
PDF
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge
2023
·
Tim Schopf
, Emanuel Gerber
, et al.
·
5
PDF
Microstructure-Based Lifetime Assessment of Austenitic Steel AISI 347 in View of Fatigue, Environmental Conditions and NDT
2021
·
Ruth Acosta
, Klaus Heckmann
, et al.
·
Applied Sciences
·
5
PDF
Investigation of the Very High Cycle Fatigue (VHCF) Behavior of Austenitic Stainless Steels and Their Welds for Reactor Internals at Ambient Temperature and 300°C
2020
·
T. Daniel
, M. Smaga
, et al.
·
Volume 1: Codes and Standards
·
5
Evaluation of the fatigue life of AISI 347 specimens with small notches based on local strain considerations
2024
·
Klaus Heckmann
, Jürgen Sievers
, et al.
·
International Journal of Pressure Vessels and Piping
·
4
Fatigue damage evaluation of stainless AISI 347 steel by advanced microstructure-sensitive NDT analysis
2022
·
Kai Donnerbauer
, Ruth Acosta
, et al.
·
Procedia Structural Integrity
·
4
The Language of Engineering
2021
·
DANIEL BRAUN
, OLEKSANDRA KLYMENKO
, et al.
·
4
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
2025
·
Nicholas Popovic
, Ashish Kangen
, et al.
·
3
PDF
Non-destructive testing derived parameters for microstructure-based residual service life assessment of aging metallic materials in nuclear engineering
2019
·
Ruth Acosta
, Christian Boller
, et al.
·
Materials Testing
·
3
Characterization of the Fatigue Behavior of Mechanical and Thermal Aged Austenitic Power Plant Steel AISI 347
2019
·
F. Maci
, M. Jamrozy
, et al.
·
Structural integrity
·
3
StrainLife: Efficient Fatigue Life Data Generation for an Enhanced Ageing Assessment of Metallic Components
2018
·
Klaus Heckmann
, Jürgen Sievers
, et al.
·
3
Investigation of the Fatigue Behavior of Austenitic Stainless Steels and Their Welds for Reactor Internals Under Combined Low Cycle (LCF), High Cycle (HCF) and Very High Cycle (VHCF) Operational Loading Conditions
2018
·
Xaver Schuler
, Tim Schopf
, et al.
·
3
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
2026
·
Tobias Schreieder
, Tim Schopf
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
2
PDF
Natural Language Inference Fine-tuning for Scientific Hallucination Detection
2025
·
Tim Schopf
, Juraj Vladika
, et al.
·
Workshop on Scholarly Document Processing (SDP)
·
2
PDF
Very high cycle fatigue of austenitic stainless steels and their welds for reactor internals at ambient temperature and 300 °C
2024
·
Marek Smaga
, Tobias Daniel
, et al.
·
International Journal of Pressure Vessels and Piping
·
2
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Works count:
46
Citation count:
309
H-index:
8
I10-index:
6
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