Publications

Akhila Abdulnazar, Roland Roller, Stefan Schulz, Markus Kreuzthaler (2024). Unsupervised SapBERT-based bi-encoders for medical concept annotation of clinical narratives with SNOMED CT. SAGE Digital Health.

Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian Möller (2024). CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems . EMNLP 2024 Findings.

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Akhila Abdulnazar, Roland Roller, Stefan Schulz, Markus Kreuzthaler (2024). Large Language Models for Clinical Text Cleansing Enhance Medical Concept Normalization. IEEE Access.

Aleksandra Gabryszak, Daniel Röder, Arne Binder, Luca Sion, Leonhard Hennig (2024). Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models. INLG 2024.

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Maximilian Bleick, Nils Feldhus, Aljoscha Burchardt, Sebastian Möller (2024). German Voter Personas can Radicalize LLM Chatbots via the Echo Chamber Effect. INLG 2024.

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Arne Binder, Tatiana Anikina, Leonhard Hennig, Simon Ostermann (2024). DFKI-MLST at DialAM-2024 Shared Task: System Description. ArgMining 2024.

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Ajay Madhavan Ravichandran, Julianna Grune, Nils Feldhus, Aljoscha Burchardt, Sebastian Möller, Roland Roller (2024). XAI for Better Exploitation of Text in Medical Decision Support. BioNLP 2024.

Faraz Maschhur, Klaus Netter, Sven Schmeier, Katrin Ostermann, Rimantas Palunis, Tobias Strapatsas, Roland Roller (2024). Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios. BioNLP 2024.

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

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Dorothea MacPhail, David Harbecke, Lisa Raithel, Sebastian Möller (2024). Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates. BioNLP 2024.

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Bhuvanesh Verma, Lisa Raithel (2024). DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training. SemEval 2024.

Qianli Wang, Tatiana Anikina, Nils Feldhus, Josef van Genabith, Leonhard Hennig, Sebastian Möller (2024). LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations. HCI+NLP-2024.

Yuxuan Chen, Daniel Röder, Justus-Jonas Erker, Leonhard Hennig, Philippe Thomas, Sebastian Möller, Roland Roller (2024). Retrieval-Augmented Knowledge Integration into Language Models: A Survey. KnowledgeLM2024.

Tomohiro Nishiyama, Lisa Raithel, Roland Roller, Pierre Zweigenbaum, Eiji Aramaki (2024). Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain. CALD-pseudo 2024.

Nils Feldhus, Qianli Wang, Tatiana Anikina, Sahil Chopra, Cennet Oguz, Sebastian Möller (2023). InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations. Findings EMNLP 2023.

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Mohammed Bin Sumait, Aleksandra Gabryszak, Leonhard Hennig, Roland Roller (2023). Factuality Detection using Machine Translation - a Use Case for German Clinical Text. KONVENS 2023.

Vincent Vandeghinste, Mirella De Sisto, Maria Kopf, Davy Van Landuyt Picron, Irene Murtagh, Eleftherios Avramidis, Mathieu De Coster (2023). European Language Equality, Report on Europe's Sign Languages. ELE.

Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert, Robert Schwarzenberg, Sebastian Möller (2023). Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods. ACL 2023 NLRSE.

Dele Zhu, Vera Czehmann, Eleftherios Avramidis (2023). Neural Machine Translation Methods for Translating Text to Sign Language Glosses. ACL 2023.

Gabriele Sarti, Nils Feldhus, Ludwig Sickert, Oskar van der Wal, Malvina Nissim, Arianna Bisazza (2023). Inseq: An Interpretability Toolkit for Sequence Generation Models. ACL 2023 Demos.

Malte Ostendorff, Georg Rehm (2023). Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning. PML4DC @ ICLR 2023.

Vageesh Saxena, Nils Rethmeier, Gijs Van Dijck, Gerasimos Spanakis (2023). VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets. ACL 2023.

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Akhila Abdulnazar, Markus Kreuzthaler, Roland Roller, Stefan Schulz (2023). SapBERT-Based Medical Concept Normalization Using SNOMED CT. SHTI.

Leonhard Hennig, Philippe Thomas, Sebastian Möller (2023). MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset. ACL 2023.

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David Samhammer, Susanne Beck, Klemens Budde, Aljoscha Burchardt, Michelle Faber, Simon Gerndt, Sebastian Möller, Bilgin Osmanodja, Roland Roller, Peter Dabrock (2023). Klinische Entscheidungsfindung mit Künstlicher Intelligenz: Ein interdisziplinärer Governance-Ansatz. ESSENT.

Roland Roller, Aljoscha Burchardt, David Samhammer, Simon Ronicke, Wiebke Duettmann, Sven Schmeier, Sebastian Möller, Peter Dabrock, Klemens Budde, Manuel Mayrdorfer, Bilgin Osmanodja (2023). When performance is not enough—A multidisciplinary view on clinical decision support. PLOS ONE.

David Samhammer, Roland Roller, Patrik Hummel, Bilgin Osmanodja, Aljoscha Burchardt, Manuel Mayrdorfer, Wiebke Duettmann, Peter Dabrock (2022). ''Nothing works without the doctor:'' Physicians' perception of clinical decision-making and artificial intelligence. Front. Med..

Roland Roller, Manuel Mayrdorfer, Wiebke Duettmann, Marcel G. Naik, Danilo Schmidt, Fabian Halleck, Patrik Hummel, Aljoscha Burchardt, Sebastian Möller, Peter Dabrock, Bilgin Osmanodja, Klemens Budde (2022). Evaluation of a clinical decision support system for detection of patients at risk after kidney transplantation. Front. Public Health.

Yuxuan Chen, David Harbecke, Leonhard Hennig (2022). Multilingual Relation Classification via Efficient and Effective Prompting. EMNLP 2022.

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Arne Binder, Bhuvanesh Verma, Leonhard Hennig (2022). Full-Text Argumentation Mining on Scientific Publications. WIESP 2022.

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

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Vivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt, He Wang, Renlong Ai, Shushen Manakhimova, Ursula Strohriegel, Sebastian Möller, Hans Uszkoreit (2022). A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output. LREC 2022.

Laura Seiffe, Fares Kallel, Sebastian Möller, Babak Naderi, Roland Roller (2022). Subjective Text Complexity Assessment for German. LREC 2022.

Aleksandra Gabryszak, Philippe Thomas (2022). MobASA: Corpus for Aspect-based Sentiment Analysis and Social Inclusion in the Mobility Domain. CSR @ LREC 2022.

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

Lisa Raithel, Philippe Thomas, Roland Roller, Oliver Sapina, Sebastian Möller, Pierre Zweigenbaum (2022). Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective. LREC 2022.

Roland Roller, Aljoscha Burchardt, Nils Feldhus, Laura Seiffe, Klemens Budde, Simon Ronicke, Bilgin Osmanodja (2022). An Annotated Corpus of Textual Explanations for Clinical Decision Support. LREC 2022.

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

Malte Ostendorff, Till Blume, Terry Ruas, Bela Gipp, Georg Rehm (2022). Specialized Document Embeddings for Aspect-based Similarity of Research Papers. JCDL 2022.

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

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Vivien Macketanz, Babak Naderi, Steven Schmidt, Sebastian Möller (2022). Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation. HumEval @ ACL 2022.

David Harbecke, Yuxuan Chen, Leonhard Hennig, Christoph Alt (2022). Why only Micro-$F_1$? Class Weighting of Measures for Relation Classification. ACL-NLPPower 2022.

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Yuxuan Chen, Jonas Mikkelsen, Arne Binder, Christoph Alt, Leonhard Hennig (2022). A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition. ACL-REPL4NLP 2022.

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Steffen Castle, Robert Schwarzenberg, Mohsen Pourvali (2021). Detecting Covariate Drift with Explanations. NLPCC 2021.

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Leonhard Hennig, Phuc Tran Truong, Aleksandra Gabryszak (2021). MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain. KONVENS 2021.

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Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julian Moreno Schneider, Georg Rehm (2021). Evaluating Document Representations for Content-based Legal Literature Recommendations. ICAIL 2021.

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

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Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig (2020). Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. SemEval 2020.

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

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Robert Schwarzenberg, Steffen Castle (2020). Pattern-Guided Integrated Gradients. ICML 2020 WHI.

Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig (2020). TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task. ACL 2020.

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Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig (2020). Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction. ACL 2020.

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David Harbecke, Christoph Alt (2020). Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling. ACL-SRW 2020.

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Hanchu Zhang, Leonhard Hennig, Christoph Alt, Changjian Hu, Yao Meng, Chao Wang (2020). Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning. ACL-ECNLP 2020.

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Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller (2020). Evaluating German Transformer Language Models with Syntactic Agreement Tests.

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Dmitrii Aksenov, Julian Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm (2020). Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling. LREC 2020.

Lisa Raithel, Robert Schwarzenberg (2019). Cross-lingual Neural Vector Conceptualization. XAI@NLPCC.

Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig (2019). Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. TextGraphs@EMNLP 2019.

Christoph Alt, Marc Hübner, Leonhard Hennig (2019). Fine-Tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction. ACL 2019.

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Neslihan Iskender, Aleksandra Gabryszak, Tim Polzehl, Leonhard Hennig, Sebastian Möller (2019). A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries. QoMEX 2019.

Malte Ostendorff, Peter Bourgonje, Maria Berger, Julian Moreno Schneider, Georg Rehm, Bela Gipp (2019). Enriching BERT with Knowledge Graph Embedding for Document Classification. GermEval@KONVENS 2019.

Christoph Alt, Marc Hübner, Leonhard Hennig (2019). Improving Relation Extraction by Pre-Trained Language Representations. AKBC 2019.

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Robert Schwarzenberg, Lisa Raithel, David Harbecke (2019). Neural Vector Conceptualization for Word Vector Space Interpretation. RepEval@NAACL.

Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller (2019). Train, Sort, Explain: Learning to Diagnose Translation Models. NAACL.

Roland Roller, Christoph Alt, Laura Seiffe, He Wang (2018). mEx - an Information Extraction Platform for German Medical Text. SWAT4HCLS'2018.

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David Harbecke, Robert Schwarzenberg, Christoph Alt (2018). Learning Explanations From Language Data. BlackBoxNLP@EMNLP 2018.