| 2026 | MDM | General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting. | Mattis thor Straten, Yannick Wlker, Steffen Strohm, Prathvish Mithare, Ralf Krestel, Matthias Renz |
| 2025 | RANLP | Beyond Methods and Datasets Entities: Introducing SH-NER for Hardware and Software Entity Recognition in Scientific Text. | Aftab Anjum, Nimra Maqbool, Ralf Krestel |
| 2025 | SIGIR | 6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2025). | Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2024 | COLING | DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment. | Benjamin Winter, Alexei Gustavo Figueroa Rosero, Alexander Lser, Felix Alexander Gers, Nancy Katerina Figueroa Rosero, Ralf Krestel |
| 2024 | NLDB | Fine-Tuning BERT on Coarse-Grained Labels: Exploring Hidden States for Fine-Grained Classification. | Aftab Anjum, Ralf Krestel |
| 2024 | NLDB | Shact: Disentangling and Clustering Latent Syntactic Structures from Transformer Encoders. | Alejandro Sierra Mnera, Ralf Krestel |
| 2024 | SIGIR | 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024). | Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2023 | LDK | Domain-Specific Keyword Extraction using BERT. | Jill Sammet, Ralf Krestel |
| 2023 | SIGIR | 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). | Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2022 | CIKM | Discovering Fine-Grained Semantics in Knowledge Graph Relations. | Nitisha Jain, Ralf Krestel |
| 2022 | IJCAI | Art Creation with Multi-Conditional StyleGANs. | Konstantin Dobler, Florian Hbscher, Jan Westphal, Alejandro Sierra Mnera, Gerard de Melo, Ralf Krestel |
| 2022 | SIGIR | 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). | Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2021 | CHIIR | Robust Visualisation of Dynamic Text Collections: Measuring and Comparing Dimensionality Reduction Algorithms. | Tim Repke, Ralf Krestel |
| 2021 | IUI | ComEx: Comment Exploration on Online News Platforms. | Julian Risch, Tim Repke, Lasse Kohlmeyer, Ralf Krestel |
| 2021 | NAACL | Multifaceted Domain-Specific Document Embeddings. | Julian Risch, Philipp Hager, Ralf Krestel |
| 2021 | SIGIR | 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). | Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2020 | CIKM | A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments? | Julian Risch, Ralf Krestel |
| 2020 | ICPR | Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-Historic Collections. | Nitisha Jain, Christian Bartz, Tobias Bredow, Emanuel Metzenthin, Jona Otholt, Ralf Krestel |
| 2020 | ICWSM | Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. | Julian Risch, Ralf Krestel |
| 2020 | IUI | Exploration Interface for Jointly Visualised Text and Graph Data. | Tim Repke, Ralf Krestel |
| 2020 | KI | Dynamic Channel and Layer Gating in Convolutional Neural Networks. | Ali Ehteshami Bejnordi, Ralf Krestel |
| 2018 | CIKM | Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora. | Tim Repke, Ralf Krestel, Jakob Edding, Moritz Hartmann, Jonas Hering, Dennis Kipping, Hendrik Schmidt, Nico Scordialo, Alexander Zenner |
| 2018 | COLING | Aggression Identification Using Deep Learning and Data Augmentation. | Julian Risch, Ralf Krestel |
| 2018 | COLING | Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom. | Julian Risch, Ralf Krestel |
| 2018 | ECIR | Bringing Back Structure to Free Text Email Conversations with Recurrent Neural Networks. | Tim Repke, Ralf Krestel |
| 2018 | EDBT | Topic-aware Network Visualisation to Explore Large Email Corpora. | Tim Repke, Ralf Krestel |
| 2018 | NAACL | Prediction for the Newsroom: Which Articles Will Get the Most Comments? | Carl Ambroselli, Julian Risch, Ralf Krestel, Andreas Loos |
| 2018 | SIGMOD | The Challenges of Creating, Maintaining and Exploring Graphs of Financial Entities. | Michael Loster, Tim Repke, Ralf Krestel, Felix Naumann, Jan Ehmueller, Benjamin Feldmann, Oliver Maspfuhl |
| 2017 | ICDM | Identifying Media Bias by Analyzing Reported Speech. | Konstantina Lazaridou, Ralf Krestel, Felix Naumann |
| 2017 | WWW | What was Hillary Clinton doing in Katy, Texas? | Toni Grtze, Ralf Krestel, Konstantina Lazaridou, Felix Naumann |
| 2017 | SIGMOD | Comparing Features for Ranking Relationships Between Financial Entities based on Text. | Tim Repke, Michael Loster, Ralf Krestel |
| 2016 | AAAI | Analyzing NIH Funding Patterns over Time with Statistical Text Analysis. | Jihyun Park, Margaret Blume-Kohout, Ralf Krestel, Eric T. Nalisnick, Padhraic Smyth |
| 2016 | NLDB | Topic Shifts in StackOverflow: Ask it Like Socrates. | Toni Grtze, Ralf Krestel, Felix Naumann |
| 2016 | WWW | Which Answer is Best?: Predicting Accepted Answers in MOOC Forums. | Maximilian Jenders, Ralf Krestel, Felix Naumann |
| 2015 | KI | A Serendipity Model for News Recommendation. | Maximilian Jenders, Thorben Lindhauer, Gjergji Kasneci, Ralf Krestel, Felix Naumann |
| 2015 | WWW | Learning Temporal Tagging Behaviour. | Toni Grtze, Gary Yao, Ralf Krestel |
| 2015 | WWW | Tweet-Recommender: Finding Relevant Tweets for News Articles. | Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci |
| 2013 | RecSys | Recommending patents based on latent topics. | Ralf Krestel, Padhraic Smyth |
| 2012 | DASFAA | iParticipate: Automatic Tweet Generation from Local Government Data. | Christoph Lofi, Ralf Krestel |
| 2012 | WWW | Treehugger or petrolhead?: identifying bias by comparing online news articles with political speeches. | Ralf Krestel, Alex Wall, Wolfgang Nejdl |
| 2010 | KI | Learning the Importance of Latent Topics to Discover Highly Influential News Items. | Ralf Krestel, Bhaskar Mehta |
| 2010 | NLDB | Semantic Content Access Using Domain-Independent NLP Ontologies. | Ren Witte, Ralf Krestel |
| 2010 | SIGIR | Exploiting click-through data for entity retrieval. | Bodo Billerbeck, Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel |
| 2009 | RecSys | Latent dirichlet allocation for tag recommendation. | Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl |
| 2008 | LREC | Minding the Source: Automatic Tagging of Reported Speech in Newspaper Articles. | Ralf Krestel, Sabine Bergler, Ren Witte |
| 2007 | AAAI | Fuzzy Set Theory-Based Belief Processing for Natural Language Texts. | Ralf Krestel, Ren Witte, Sabine Bergler |
| 2007 | AI | Creating a Fuzzy Believer to Model Human Newspaper Readers. | Ralf Krestel, Ren Witte, Sabine Bergler |