| 2026 | ACL | Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models. | Tobias Schreieder, Tim Schopf, Michael Frber |
| 2026 | LREC | Is This Idea Novel? An Automated Benchmark for Judgment of Research Ideas. | Tim Schopf, Michael Frber |
| 2024 | ACL | NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing. | Tim Schopf, Florian Matthes |
| 2023 | IC3K | A Knowledge Graph Approach for Exploratory Search in Research Institutions. | Tim Schopf, Nektarios Machner, Florian Matthes |
| 2023 | RANLP | Exploring the Landscape of Natural Language Processing Research. | Tim Schopf, Karim Arabi, Florian Matthes |
| 2023 | RANLP | AspectCSE: Sentence Embeddings for Aspect-Based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge. | Tim Schopf, Emanuel Gerber, Malte Ostendorff, Florian Matthes |
| 2023 | RANLP | Efficient Domain Adaptation of Sentence Embeddings Using Adapters. | Tim Schopf, Dennis N. Schneider, Florian Matthes |
| 2022 | IC3K | PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction. | Tim Schopf, Simon Klimek, Florian Matthes |
| 2022 | IJCNLP | A Decade of Knowledge Graphs in Natural Language Processing: A Survey. | Phillip Schneider, Tim Schopf, Juraj Vladika, Michael Galkin, Elena Simperl, Florian Matthes |
| 2021 | WEBIST | Lbl2Vec: An Embedding-based Approach for Unsupervised Document Retrieval on Predefined Topics. | Tim Schopf, Daniel Braun, Florian Matthes |
| 2021 | WEBIST | Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification. | Tim Schopf, Daniel Braun, Florian Matthes |