Tim Schopf

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 23

Top Topics

Natural Language

Top Venues

WEBIST (Revised Selected Papers)

Publications

Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. CoRR (2024)
Tim Schopf, Florian Matthes
NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing. CoRR (2024)
Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing. CoRR (2024)
Tim Schopf, Nektarios Machner, Florian Matthes
A Knowledge Graph Approach for Exploratory Search in Research Institutions. KMIS (2023)
Tim Schopf, Karim Arabi, Florian Matthes
Exploring the Landscape of Natural Language Processing Research. RANLP (2023)
Tim Schopf, Dennis Schneider, Florian Matthes
Efficient Domain Adaptation of Sentence Embeddings using Adapters. CoRR (2023)
Tim Schopf, Karim Arabi, Florian Matthes
Exploring the Landscape of Natural Language Processing Research. CoRR (2023)
Tim Schopf, Emanuel Gerber, Malte Ostendorff, Florian Matthes
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity using Contrastive Learning and Structured Knowledge. CoRR (2023)
Tim Schopf, Dennis N. Schneider, Florian Matthes
Efficient Domain Adaptation of Sentence Embeddings Using Adapters. RANLP (2023)
Tim Schopf, Nektrios Machner, Florian Matthes
A Knowledge Graph Approach for Exploratory Search in Research Institutions. CoRR (2023)
Tim Schopf, Emanuel Gerber, Malte Ostendorff, Florian Matthes
AspectCSE: Sentence Embeddings for Aspect-Based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge. RANLP (2023)
Tim Schopf, Peter Weinberger, Thomas Kinkeldei, Florian Matthes
Towards Bilingual Word Embedding Models for Engineering: Evaluating Semantic Linking Capabilities of Engineering-Specific Word Embeddings Across Languages. MSIE (2022)
Tim Schopf, Simon Klimek, Florian Matthes
PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction. CoRR (2022)
Phillip Schneider, Tim Schopf, Juraj Vladika, Michael Galkin, Elena Simperl, Florian Matthes
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. AACL/IJCNLP (1) (2022)
Tim Schopf, Daniel Braun, Florian Matthes
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics. CoRR (2022)
Tim Schopf, Kilian Dresse, Florian Matthes
Towards AI Platforms for Stationary Retail. AI4I (2022)
Tim Schopf, Daniel Braun, Florian Matthes
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches. NLPIR (2022)
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. CoRR (2022)
Tim Schopf, Daniel Braun, Florian Matthes
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches. CoRR (2022)
Tim Schopf, Simon Klimek, Florian Matthes
PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction. KDIR (2022)
Tim Schopf, Daniel Braun, Florian Matthes
Lbl2Vec: An Embedding-based Approach for Unsupervised Document Retrieval on Predefined Topics. WEBIST (2021)
Daniel Braun, Oleksandra Klymenko, Tim Schopf, Yusuf Kaan Akan, Florian Matthes
The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering. MSIE (2021)
Tim Schopf, Daniel Braun, Florian Matthes
Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification. WEBIST (Revised Selected Papers) (2021)