Tim Schopf

According to our database, Tim Schopf authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes.

Tim Schopf, Alexander Blatzheim, Nektarios Machner, Florian Matthes

CoRR, 2024

NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing.

Tim Schopf, Florian Matthes

CoRR, 2024

Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing.

Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes

CoRR, 2024

An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry.

Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes

Proceedings of the 20th Conference on Natural Language Processing, 2024

2023

Efficient Domain Adaptation of Sentence Embeddings Using Adapters.

Tim Schopf, Dennis N. Schneider, Florian Matthes

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

AspectCSE: Sentence Embeddings for Aspect-Based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge.

Tim Schopf, Emanuel Gerber, Malte Ostendorff, Florian Matthes

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Exploring the Landscape of Natural Language Processing Research.

Tim Schopf, Karim Arabi, Florian Matthes

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

A Knowledge Graph Approach for Exploratory Search in Research Institutions.

Tim Schopf, Nektarios Machner, Florian Matthes

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

2022

Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches.

Tim Schopf, Daniel Braun, Florian Matthes

Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 2022

Towards Bilingual Word Embedding Models for Engineering: Evaluating Semantic Linking Capabilities of Engineering-Specific Word Embeddings Across Languages.

Tim Schopf, Peter Weinberger, Thomas Kinkeldei, Florian Matthes

Proceedings of the MSIE 2022: 4th International Conference on Management Science and Industrial Engineering, Chiang Mai Thailand, April 28, 2022

A Decade of Knowledge Graphs in Natural Language Processing: A Survey.

Phillip Schneider, Tim Schopf, Juraj Vladika, Michael Galkin, Elena Simperl, Florian Matthes

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction.

Tim Schopf, Simon Klimek, Florian Matthes

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Towards AI Platforms for Stationary Retail.

Tim Schopf, Kilian Dresse, Florian Matthes

Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022

2021

Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification.

Tim Schopf, Daniel Braun, Florian Matthes

Proceedings of the Web Information Systems and Technologies, 2021

Lbl2Vec: An Embedding-based Approach for Unsupervised Document Retrieval on Predefined Topics.

Tim Schopf, Daniel Braun, Florian Matthes

Proceedings of the 17th International Conference on Web Information Systems and Technologies, 2021

The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering.

Daniel Braun, Oleksandra Klymenko, Tim Schopf, Yusuf Kaan Akan, Florian Matthes

Proceedings of the MSIE 2021: 3rd International Conference on Management Science and Industrial Engineering, Osaka, Japan, April 2, 2021