The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering. - Daniel Braun 003; Oleksandra Klymenko; Tim Schopf; Yusuf Kaan Akan; Florian Matthes (MSIE, 2021)

Lbl2Vec: An Embedding-based Approach for Unsupervised Document Retrieval on Predefined Topics. - Tim Schopf; Daniel Braun 003; Florian Matthes (WEBIST, 2021)

Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification. - Tim Schopf; Daniel Braun 003; Florian Matthes (WEBIST (Revised Selected Papers), 2021)

Towards AI Platforms for Stationary Retail. - Tim Schopf; Kilian Dresse; Florian Matthes (AI4I, 2022)

PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction. - Tim Schopf; Simon Klimek; Florian Matthes (KDIR, 2022)

A Decade of Knowledge Graphs in Natural Language Processing: A Survey. - Phillip Schneider; Tim Schopf; Juraj Vladika; Michael Galkin; Elena Simperl; Florian Matthes (AACL/IJCNLP (1), 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 (MSIE, 2022)

Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches. - Tim Schopf; Daniel Braun 003; Florian Matthes (NLPIR, 2022)

A Knowledge Graph Approach for Exploratory Search in Research Institutions. - Tim Schopf; Nektarios Machner; Florian Matthes (KMIS, 2023)

Exploring the Landscape of Natural Language Processing Research. - Tim Schopf; Karim Arabi; Florian Matthes (RANLP, 2023)

AspectCSE: Sentence Embeddings for Aspect-Based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge. - Tim Schopf; Emanuel Gerber; Malte Ostendorff; Florian Matthes (RANLP, 2023)

Efficient Domain Adaptation of Sentence Embeddings Using Adapters. - Tim Schopf; Dennis N. Schneider; Florian Matthes (RANLP, 2023)

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 (KONVENS, 2024)

Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing. - Phillip Schneider; Tim Schopf; Juraj Vladika; Florian Matthes (CoRR, 2024)

NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing. - Tim Schopf; Florian Matthes (CoRR, 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)

DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations. - Nicholas Popovic; Ashish Yashwanth Kangen; Tim Schopf; Michael Färber 001 (CoRR, 2025)