Data Science Group @ Heidelberg University

Publications

Publications of our group since 2023. For the complete list, see our Google Scholar profile or the DBLP entry of Michael Gertz.

Highlighted

ClusterChat: Multi-Feature Search for Corpus Exploration
ClusterChat: Multi-Feature Search for Corpus Exploration
Ashish Chouhan, Saifeldin Mandour, Michael Gertz
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval  ·  doi:10.1145/3726302.3730137

All

2026

Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study
Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study
David Jackson, Michael Gertz, Jürgen Hesser
arXiv  ·  arxiv:2603.00097

2025

From Answers to Guidance: A Proactive Dialogue System for Legal Documents
From Answers to Guidance: A Proactive Dialogue System for Legal Documents
Ashish Chouhan, Michael Gertz
arXiv  ·  arxiv:2510.19723
Accessible Language Simplification: Large Language Models for Generating Easy German
Accessible Language Simplification: Large Language Models for Generating Easy German
Raeesa Yousaf, Marina Walther, Michael Gertz
Lecture Notes in Computer Science  ·  doi:10.1007/978-3-032-02813-6_15
ClusterChat: Multi-Feature Search for Corpus Exploration
ClusterChat: Multi-Feature Search for Corpus Exploration
Ashish Chouhan, Saifeldin Mandour, Michael Gertz
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval  ·  doi:10.1145/3726302.3730137
Facts-of-the-Case: Answering Complex Patient Questions
Facts-of-the-Case: Answering Complex Patient Questions
Marina Walther, Michael Gertz
Gesellschaft für Informatik, Bonn  ·  doi:10.18420/BTW2025-07

2024

QuantPlorer: Exploration of Quantities in Text
QuantPlorer: Exploration of Quantities in Text
Satya Almasian, Alexander Kosnac, Michael Gertz
Lecture Notes in Computer Science  ·  doi:10.1007/978-3-031-56069-9_13
Numbers Matter Bringing Quantity-awareness to Retrieval Systems
Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
Satya Almasian, Milena Bruseva, Michael Gertz
Findings of the Association for Computational Linguistics: EMNLP 2024  ·  doi:10.18653/v1/2024.findings-emnlp.707

2023

TrendTracker: Temporal, network-based exploration of long-term Twitter trends
TrendTracker: Temporal, network-based exploration of long-term Twitter trends
John Ziegler, Johannes Sindlinger, Marina Walther, Michael Gertz
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining  ·  doi:10.1145/3625007.3627335
CODY: A graph-based framework for the analysis of COnversation DYnamics in online social networks
CODY: A graph-based framework for the analysis of COnversation DYnamics in online social networks
John Ziegler, Fabian Kneissl, Michael Gertz
arXiv  ·  arxiv:2310.08140
Who Is behind a Trend Temporal Analysis of Interactions among Trend Participants on Twitter
Who Is behind a Trend? Temporal Analysis of Interactions among Trend Participants on Twitter
John Ziegler, Michael Gertz
Proceedings of the International AAAI Conference on Web and Social Media  ·  doi:10.1609/icwsm.v17i1.22203
UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification
UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?
Dennis Aumiller, Michael Gertz
arXiv  ·  arxiv:2301.01764
No Mayfly: Detection and Analysis of Long-term Twitter Trends
No Mayfly: Detection and Analysis of Long-term Twitter Trends
John Ziegler, Michael Gertz
Gesellschaft für Informatik e.V.  ·  doi:10.18420/BTW2023-17
On the State of German Abstractive Text Summarization
On the State of German (Abstractive) Text Summarization
Dennis Aumiller, Jing Fan, Michael Gertz
Gesellschaft für Informatik e.V.  ·  doi:10.18420/BTW2023-10
Evaluating Factual Consistency of Texts with Semantic Role Labeling
Evaluating Factual Consistency of Texts with Semantic Role Labeling
Jing Fan, Dennis Aumiller, Michael Gertz
Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)  ·  doi:10.18653/v1/2023.starsem-1.9
WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning
WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning
Ghadeer Mobasher, Wolfgang Müller, Olga Krebs, Michael Gertz
The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks  ·  doi:10.18653/v1/2023.bionlp-1.40
CQE: A Comprehensive Quantity Extractor
CQE: A Comprehensive Quantity Extractor
Satya Almasian, Vivian Kazakova, Philipp Göldner, Michael Gertz
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing  ·  doi:10.18653/v1/2023.emnlp-main.793