Enriching BERT with Knowledge Graph Embeddings for Document Classification. - Malte Ostendorff; Peter Bourgonje; Maria Berger; Julián Moreno Schneider; Georg Rehm; Bela Gipp (KONVENS, 2019)

ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open? - Philipp Scharpf; Moritz Schubotz; André Greiner-Petter; Malte Ostendorff; Olaf Teschke; Bela Gipp (CLEF (Working Notes), 2020)

Aspect-based Document Similarity for Research Papers. - Malte Ostendorff; Terry Ruas; Till Blume; Bela Gipp; Georg Rehm (COLING, 2020)

Towards an Open Platform for Legal Information. - Malte Ostendorff; Till Blume; Saskia Ostendorff (JCDL, 2020)

Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles. - Malte Ostendorff; Terry Ruas; Moritz Schubotz; Georg Rehm; Bela Gipp (JCDL, 2020)

Named Entities in Medical Case Reports: Corpus and Experiments. - Sarah Schulz; Jurica Seva; Samuel Rodríguez; Malte Ostendorff; Georg Rehm (LREC, 2020)

QURATOR: Innovative Technologies for Content and Data Curation. - Georg Rehm; Peter Bourgonje; Stefanie Hegele; Florian Kintzel; Julián Moreno Schneider; Malte Ostendorff; Karolina Zaczynska; Armin Berger; Stefan Grill; Sören Räuchle; Jens Rauenbusch; Lisa Rutenburg; et al. (Qurator, 2020)

Towards Discourse Parsing-inspired Semantic Storytelling. - Georg Rehm; Karolina Zaczynska; Julián Moreno Schneider; Malte Ostendorff; Maria Berger; Jens Rauenbusch; André Schmidt; Mikka Wild (Qurator, 2020)

Towards Discourse Parsing-inspired Semantic Storytelling. - Georg Rehm; Karolina Zaczynska; Julián Moreno Schneider; Malte Ostendorff; Peter Bourgonje; Maria Berger; Jens Rauenbusch; André Schmidt; Mikka Wild (CoRR, 2020)

Contextual Document Similarity for Content-based Literature Recommender Systems. - Malte Ostendorff (CoRR, 2020)

Ordering sentences and paragraphs with pre-trained encoder-decoder transformers and pointer ensembles. - Rémi Calizzano; Malte Ostendorff; Georg Rehm (DocEng, 2021)

A Qualitative Evaluation of User Preference for Link-Based vs. Text-Based Recommendations of Wikipedia Articles. - Malte Ostendorff; Corinna Breitinger; Bela Gipp (ICADL, 2021)

Evaluating document representations for content-based legal literature recommendations. - Malte Ostendorff; Elliott Ash; Terry Ruas; Bela Gipp; Julián Moreno Schneider; Georg Rehm (ICAIL, 2021)

DFKI SLT at GermEval 2021: Multilingual Pre-training and Data Augmentation for the Classification of Toxicity in Social Media Comments. - Rémi Calizzano; Malte Ostendorff; Georg Rehm (GermEval@KONVENS, 2021)

HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information. - Qian Ruan; Malte Ostendorff; Georg Rehm (ACL (Findings), 2022)

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. - Malte Ostendorff; Nils Rethmeier; Isabelle Augenstein; Bela Gipp; Georg Rehm (EMNLP, 2022)

Specialized document embeddings for aspect-based similarity of research papers. - Malte Ostendorff; Till Blume; Terry Ruas; Bela Gipp; Georg Rehm (JCDL, 2022)

Generating Extended and Multilingual Summaries with Pre-trained Transformers. - Rémi Calizzano; Malte Ostendorff; Qian Ruan; Georg Rehm (LREC, 2022)

Claim Extraction and Law Matching for COVID-19-related Legislation. - Niklas Dehio; Malte Ostendorff; Georg Rehm (LREC, 2022)

Semantic Relations between Text Segments for Semantic Storytelling: Annotation Tool - Dataset - Evaluation. - Michael Raring; Malte Ostendorff; Georg Rehm (LREC, 2022)

Identification of Relations between Text Segments for Semantic Storytelling. - Georg Rehm; Malte Ostendorff; Rémi Calizzano; Karolina Zaczynska; Julián Moreno Schneider (Qurator, 2022)

Integration of a Semantic Storytelling Recommender System in Speech Assistants. - María González-García; Julián Moreno Schneider; Malte Ostendorff; Georg Rehm (Text2Story@ECIR, 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 Language Model Training through Cross-Lingual and Progressive Transfer Learning. - Malte Ostendorff; Georg Rehm (CoRR, 2023)

Aspect-based Document Similarity for Literature Recommender Systems. - Malte Ostendorff (2023)

Symmetric Dot-Product Attention for Efficient Training of BERT Language Models. - Martin Courtois; Malte Ostendorff; Leonhard Hennig; Georg Rehm (ACL (Findings), 2024)

A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages. - Jorge Palomar-Giner; José Javier Saiz; Ferran Espuña; Mario Mina; Severino Da Dalt; Joan Llop; Malte Ostendorff; Pedro Ortiz Suarez; Georg Rehm; Aitor Gonzalez-Agirre; Marta Villegas (LREC/COLING, 2024)

Tokenizer Choice For LLM Training: Negligible or Crucial? - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Richard Rutmann; Max Lübbering; Johannes Leveling; Katrin Klug; Jan Ebert; Niclas Doll; Jasper Schulze Buschhoff; Charvi Jain; Alexander Arno Weber; et al. (NAACL-HLT (Findings), 2024)

Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation. - Eleftherios Avramidis; Annika Grützner-Zahn; Manuel Brack; Patrick Schramowski; Pedro Ortiz Suarez; Malte Ostendorff; Fabio Barth; Shushen Manakhimova; Vivien Macketanz; Georg Rehm; Kristian Kersting (WMT, 2024)

Investigating Gender Bias in Turkish Language Models. - Orhun Caglidil; Malte Ostendorff; Georg Rehm (CoRR, 2024)

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Jan Ebert; Alexander Arno Weber; Richard Rutmann; Charvi Jain; Max Lübbering; Daniel Steinigen; Johannes Leveling; Katrin Klug; Jasper Schulze Buschhoff; et al. (CoRR, 2024)

Data Processing for the OpenGPT-X Model Family. - Nicolo' Brandizzi; Hammam Abdelwahab; Anirban Bhowmick; Lennard Helmer; Benny Jörg Stein; Pavel Denisov; Qasid Saleem; Michael Fromm 001; Mehdi Ali; Richard Rutmann; Farzad Naderi; Mohamad Saif Agy; et al. (CoRR, 2024)

Reward Modeling with Weak Supervision for Language Models. - Ben Hauptvogel; Malte Ostendorff; Georg Rehm; Sebastian Möller 001 (CoRR, 2024)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data. - Ekaterina Borisova 002; Fabio Barth; Nils Feldhus; Raia Abu Ahmad; Malte Ostendorff; Pedro Ortiz Suarez; Georg Rehm; Sebastian Möller 001 (CoRR, 2025)