Engineering a Semantic Desktop for Building Historians and Architects. - René Witte; Petra Gerlach; Markus Joachim; Thomas Kappler; Ralf Krestel; Praharshana Perera (Semantic Desktop Workshop, 2005)

Fuzzy Set Theory-Based Belief Processing for Natural Language Texts. - Ralf Krestel; René Witte; Sabine Bergler (AAAI, 2007)

Creating a Fuzzy Believer to Model Human Newspaper Readers. - Ralf Krestel; René Witte; Sabine Bergler (Canadian AI, 2007)

The Art of Tagging: Measuring the Quality of Tags. - Ralf Krestel; Ling Chen 006 (ASWC, 2008)

A Model for Ranking Entities and Its Application to Wikipedia. - Gianluca Demartini; Claudiu S. Firan; Tereza Iofciu; Ralf Krestel; Wolfgang Nejdl (LA-WEB, 2008)

Minding the Source: Automatic Tagging of Reported Speech in Newspaper Articles. - Ralf Krestel; Sabine Bergler; René Witte (LREC, 2008)

A Belief Revision Approach to Textual Entailment Recognition. - Ralf Krestel; Sabine Bergler; René Witte (TAC, 2008)

Predicting News Story Importance Using Language Features. - Ralf Krestel; Bhaskar Mehta (Web Intelligence, 2008)

An Architecture for Finding Entities on the Web. - Gianluca Demartini; Claudiu S. Firan; Mihai Georgescu; Tereza Iofciu; Ralf Krestel; Wolfgang Nejdl (LA-WEB/CLIHC, 2009)

Tag Recommendation Using Probabilistic Topic Models. - Ralf Krestel; Peter Fankhauser (DC@PKDD/ECML, 2009)

Latent dirichlet allocation for tag recommendation. - Ralf Krestel; Peter Fankhauser; Wolfgang Nejdl (RecSys, 2009)

Believe It or Not: Solving the TAC 2009 Textual Entailment Tasks through an Artificial Believer System. - Ralf Krestel; René Witte; Sabine Bergler (TAC, 2009)

Ranking Entities Using Web Search Query Logs. - Bodo Billerbeck; Gianluca Demartini; Claudiu S. Firan; Tereza Iofciu; Ralf Krestel (ECDL, 2010)

Learning the Importance of Latent Topics to Discover Highly Influential News Items. - Ralf Krestel; Bhaskar Mehta (KI, 2010)

Semantic Content Access Using Domain-Independent NLP Ontologies. - René Witte; Ralf Krestel (NLDB, 2010)

Exploiting click-through data for entity retrieval. - Bodo Billerbeck; Gianluca Demartini; Claudiu S. Firan; Tereza Iofciu; Ralf Krestel (SIGIR, 2010)

Language Models and Topic Models for Personalizing Tag Recommendation. - Ralf Krestel; Peter Fankhauser (Web Intelligence, 2010)

Converting a Historical Architecture Encyclopedia into a Semantic Knowledge Base. - René Witte; Ralf Krestel; Thomas Kappler; Peter C. Lockemann (IEEE Intell. Syst., 2010)

Why finding entities in Wikipedia is difficult, sometimes. - Gianluca Demartini; Claudiu S. Firan; Tereza Iofciu; Ralf Krestel; Wolfgang Nejdl (Inf. Retr., 2010)

Visual interfaces for stimulating exploratory search. - Ralf Krestel; Gianluca Demartini; Eelco Herder (JCDL, 2011)

Diversifying Product Review Rankings: Getting the Full Picture. - Ralf Krestel; Nima Dokoohaki (Web Intelligence, 2011)

Integrating Wiki Systems, Natural Language Processing, and Semantic Technologies for Cultural Heritage Data Management. - René Witte; Thomas Kappler; Ralf Krestel; Peter C. Lockemann (Language Technology for Cultural Heritage, 2011)

iParticipate: Automatic Tweet Generation from Local Government Data. - Christoph Lofi; Ralf Krestel (DASFAA (2), 2012)

Treehugger or petrolhead?: identifying bias by comparing online news articles with political speeches. - Ralf Krestel; Alex Wall; Wolfgang Nejdl (WWW (Companion Volume), 2012)

Personalized topic-based tag recommendation. - Ralf Krestel; Peter Fankhauser (Neurocomputing, 2012)

Reranking web search results for diversity. - Ralf Krestel; Peter Fankhauser (Inf. Retr., 2012)

On the use of language models and topic models in the web : new algorithms for filtering, classification, ranking, and recommendation. - Ralf Krestel (2012)

Topic Cropping: Leveraging Latent Topics for the Analysis of Small Corpora. - Nam Khanh Tran; Sergej Zerr; Kerstin Bischoff; Claudia Niederée; Ralf Krestel (TPDL, 2013)

Generating contextualized sentiment lexica based on latent topics and user ratings. - Ralf Krestel; Stefan Siersdorfer (HT, 2013)

Recommending patents based on latent topics. - Ralf Krestel; Padhraic Smyth (RecSys, 2013)

Modeling human newspaper readers: The Fuzzy Believer approach. - Ralf Krestel; Sabine Bergler; René Witte (Nat. Lang. Eng., 2014)

A Serendipity Model for News Recommendation. - Maximilian Jenders; Thorben Lindhauer; Gjergji Kasneci; Ralf Krestel; Felix Naumann (KI, 2015)

How to Stay Up-To-Date on Twitter With General Keywords. - Mandy Roick; Maximilian Jenders; Ralf Krestel (LWA, 2015)

Online Temporal Summarization of News Events. - Tobias Schubotz; Ralf Krestel (WI-IAT (1), 2015)

Learning Temporal Tagging Behaviour. - Toni Grütze; Gary Yao; Ralf Krestel (WWW (Companion Volume), 2015)

Tweet-Recommender: Finding Relevant Tweets for News Articles. - Ralf Krestel; Thomas Werkmeister; Timur Pratama Wiradarma; Gjergji Kasneci (WWW (Companion Volume), 2015)

Diversifying customer review rankings. - Ralf Krestel; Nima Dokoohaki (Neural Networks, 2015)

Analyzing NIH Funding Patterns over Time with Statistical Text Analysis. - Jihyun Park; Margaret Blume-Kohout; Ralf Krestel; Eric T. Nalisnick; Padhraic Smyth (AAAI Workshop: Scholarly Big Data, 2016)

Classification of German Newspaper Comments. - Christian Godde; Konstantina Lazaridou; Ralf Krestel (LWDA, 2016)

Topic Shifts in StackOverflow: Ask it Like Socrates. - Toni Grütze; Ralf Krestel; Felix Naumann (NLDB, 2016)

TextAI: Enhancing TextAE with Intelligent Annotation Support. - Maximilian Grundke; Johannes Jasper; Mariya Perchyk; Jan Philipp Sachse; Ralf Krestel; Mariana L. Neves (SMBM, 2016)

Which Answer is Best?: Predicting Accepted Answers in MOOC Forums. - Maximilian Jenders; Ralf Krestel; Felix Naumann (WWW (Companion Volume), 2016)

The Information Systems Group at HPI. - Felix Naumann; Ralf Krestel (SIGMOD Rec., 2016)

Identifying Political Bias in News Articles. - Konstantina Lazaridou; Ralf Krestel (Bull. IEEE Tech. Comm. Digit. Libr., 2016)

What Should I Cite? Cross-Collection Reference Recommendation of Patents and Papers. - Julian Risch; Ralf Krestel (TPDL, 2017)

Identifying Media Bias by Analyzing Reported Speech. - Konstantina Lazaridou; Ralf Krestel; Felix Naumann (ICDM, 2017)

How Do Search Engines Work? A Massive Open Online Course with 4000 Participants. - Ralf Krestel; Julian Risch (LWDA, 2017)

Uncovering Business Relationships: Context-sensitive Relationship Extraction for Difficult Relationship Types. - Zhe Zuo; Michael Loster; Ralf Krestel; Felix Naumann (LWDA, 2017)

Comparing Features for Ranking Relationships Between Financial Entities based on Text. - Tim Repke; Michael Loster; Ralf Krestel (DSMM@SIGMOD, 2017)

What was Hillary Clinton doing in Katy, Texas? - Toni Grütze; Ralf Krestel; Konstantina Lazaridou; Felix Naumann (WWW (Companion Volume), 2017)

Das Fachgebiet "Informationssysteme" am Hasso-Plattner-Institut. - Felix Naumann; Ralf Krestel (Datenbank-Spektrum, 2017)

Challenges for Toxic Comment Classification: An In-Depth Error Analysis. - Betty van Aken; Julian Risch; Ralf Krestel; Alexander Löser (ALW, 2018)

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 (CIKM, 2018)

Aggression Identification Using Deep Learning and Data Augmentation. - Julian Risch; Ralf Krestel (TRAC@COLING 2018, 2018)

Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom. - Julian Risch; Ralf Krestel (TRAC@COLING 2018, 2018)

Bringing Back Structure to Free Text Email Conversations with Recurrent Neural Networks. - Tim Repke; Ralf Krestel (ECIR, 2018)

Topic-aware Network Visualisation to Explore Large Email Corpora. - Tim Repke; Ralf Krestel (EDBT/ICDT Workshops, 2018)

Book Recommendation Beyond the Usual Suspects - Embedding Book Plots Together with Place and Time Information. - Julian Risch; Samuele Garda; Ralf Krestel (ICADL, 2018)

Learning Patent Speak: Investigating Domain-Specific Word Embeddings. - Julian Risch; Ralf Krestel (ICDIM, 2018)

WELDA: Enhancing Topic Models by Incorporating Local Word Context. - Stefan Bunk; Ralf Krestel (JCDL, 2018)

My Approach = Your Apparatus? - Julian Risch; Ralf Krestel (JCDL, 2018)

Prediction for the Newsroom: Which Articles Will Get the Most Comments? - Carl Ambroselli; Julian Risch; Ralf Krestel; Andreas Loos (NAACL-HLT (3), 2018)

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 (DSMM@SIGMOD, 2018)

Who is Mona L.? Identifying Mentions of Artworks in Historical Archives. - Nitisha Jain; Ralf Krestel (TPDL, 2019)

hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model. - Julian Risch; Anke Stoll; Marc Ziegele; Ralf Krestel (KONVENS, 2019)

Mining Business Relationships from Stocks and News. - Thomas Kellermeier; Tim Repke; Ralf Krestel (MIDAS@PKDD, 2019)

My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections. - Julian Risch; Ralf Krestel (CoRR, 2019)

Measuring and Facilitating Data Repeatability in Web Science. - Julian Risch; Ralf Krestel (Datenbank-Spektrum, 2019)

Domain-specific word embeddings for patent classification. - Julian Risch; Ralf Krestel (Data Technol. Appl., 2019)

Bagging BERT Models for Robust Aggression Identification. - Julian Risch; Ralf Krestel (TRAC@LREC, 2020)

Offensive Language Detection Explained. - Julian Risch; Robin Ruff; Ralf Krestel (TRAC@LREC, 2020)

A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments? - Julian Risch; Ralf Krestel (CIKM, 2020)

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 (ICPR Workshops (3), 2020)

Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. - Julian Risch; Ralf Krestel (ICWSM, 2020)

Exploration Interface for Jointly Visualised Text and Graph Data. - Tim Repke; Ralf Krestel (IUI Companion, 2020)

Visualising Large Document Collections by Jointly Modeling Text and Network Structure. - Tim Repke; Ralf Krestel (JCDL, 2020)

Hierarchical Document Classification as a Sequence Generation Task. - Julian Risch; Samuele Garda; Ralf Krestel (JCDL, 2020)

Dynamic Channel and Layer Gating in Convolutional Neural Networks. - Ali Ehteshami Bejnordi; Ralf Krestel (KI, 2020)

Sense Tree: Discovery of New Word Senses with Graph-based Scoring. - Jan Ehmüller; Lasse Kohlmeyer; Holly McKee; Daniel Paeschke; Tim Repke; Ralf Krestel; Felix Naumann (LWDA, 2020)

Learning Fine-Grained Semantics for Multi-Relational Data. - Nitisha Jain; Ralf Krestel (ISWC (Demos/Industry), 2020)

HyCoNN: Hybrid Cooperative Neural Networks for Personalized News Discussion Recommendation. - Julian Risch; Victor Künstler; Ralf Krestel (WI/IAT, 2020)

Explainable AI under contract and tort law: legal incentives and technical challenges. - Philipp Hacker; Ralf Krestel; Stefan Grundmann; Felix Naumann (Artif. Intell. Law, 2020)

PatentMatch: A Dataset for Matching Patent Claims & Prior Art. - Julian Risch; Nicolas Alder; Christoph Hewel; Ralf Krestel (CoRR, 2020)

Modeling the Evolution of Word Senses with Force-Directed Layouts of Co-occurrence Networks. - Tim Reke; Robert Schwanhold; Ralf Krestel (LChange@ACL-IJCNLP, 2021)

Robust Visualisation of Dynamic Text Collections: Measuring and Comparing Dimensionality Reduction Algorithms. - Tim Repke; Ralf Krestel (CHIIR, 2021)

Do Embeddings Actually Capture Knowledge Graph Semantics? - Nitisha Jain; Jan-Christoph Kalo; Wolf-Tilo Balke; Ralf Krestel (ESWC, 2021)

Interactive Curation of Semantic Representations in Digital Libraries. - Tim Repke; Ralf Krestel (ICADL, 2021)

ComEx: Comment Exploration on Online News Platforms. - Julian Risch; Tim Repke; Lasse Kohlmeyer; Ralf Krestel (IUI Workshops, 2021)

Multifaceted Domain-Specific Document Embeddings. - Julian Risch; Philipp Hager; Ralf Krestel (NAACL-HLT (Demonstrations), 2021)

2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). - Ralf Krestel; Hidir Aras; Linda Andersson; Florina Piroi; Allan Hanbury; Dean Alderucci (SIGIR, 2021)

Novel Views on Novels: Embedding Multiple Facets of Long Texts. - Lasse Kohlmeyer; Tim Repke; Ralf Krestel (WI/IAT, 2021)

CrashNet: an encoder-decoder architecture to predict crash test outcomes. - Mohamed Karim Belaid; Maximilian Rabus; Ralf Krestel (Data Min. Knowl. Discov., 2021)

Discovering Fine-Grained Semantics in Knowledge Graph Relations. - Nitisha Jain; Ralf Krestel (CIKM, 2022)

Generating Domain-Specific Knowledge Graphs: Challenges with Open Information Extraction. - Nitisha Jain; Alejandro Sierra Múnera; Maria Lomaeva; Julius Streit; Simon Thormeyer; Philipp Schmidt; Ralf Krestel (TEXT2KG/MK@ESWC, 2022)

Art Creation with Multi-Conditional StyleGANs. - Konstantin Dobler; Florian Hübscher; Jan Westphal; Alejandro Sierra Múnera; Gerard de Melo; Ralf Krestel (IJCAI, 2022)

3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). - Ralf Krestel; Hidir Aras; Linda Andersson; Florina Piroi; Allan Hanbury; Dean Alderucci (SIGIR, 2022)

Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark. - Mohamed Karim Belaid; Eyke Hüllermeier; Maximilian Rabus; Ralf Krestel (CoRR, 2022)

Data-driven analysis and prediction of norm acceptance. - Ralf Krestel; Annegret Kuhn; Wilhelm Hasselbring (Inform. Spektrum, 2022)

Efficient Ultrafine Typing of Named Entities. - Alejandro Sierra Múnera; Jan Westphal; Ralf Krestel (JCDL, 2023)

Domain-Specific Keyword Extraction using BERT. - Jill Sammet; Ralf Krestel (LDK, 2023)

4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). - Ralf Krestel; Hidir Aras; Linda Andersson; Florina Piroi; Allan Hanbury; Dean Alderucci (SIGIR, 2023)

Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark. - Mohamed Karim Belaid; Richard Bornemann; Maximilian Rabus; Ralf Krestel; Eyke Hüllermeier (xAI (2), 2023)

Generation of training data for named entity recognition of artworks. - Nitisha Jain; Alejandro Sierra Múnera; Jan Ehmueller; Ralf Krestel (Semantic Web, 2023)

Editorial. - Ralf Krestel; Udo Kruschwitz; Michael Wiegand; Theo Härder (Datenbank-Spektrum, 2023)

DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment. - Benjamin Winter; Alexei Gustavo Figueroa Rosero; Alexander Löser; Felix Alexander Gers; Nancy Katerina Figueroa Rosero; Ralf Krestel (LREC/COLING, 2024)

Comparative Analysis of Evaluation Measures for Scientific Text Simplification. - Dennis Davari; Liana Ermakova; Ralf Krestel (TPDL (1), 2024)

Fine-Tuning BERT on Coarse-Grained Labels: Exploring Hidden States for Fine-Grained Classification. - Aftab Anjum; Ralf Krestel (NLDB (1), 2024)

Shact: Disentangling and Clustering Latent Syntactic Structures from Transformer Encoders. - Alejandro Sierra Múnera; Ralf Krestel (NLDB (1), 2024)

Advancing Automatic Subject Indexing: Combining Weak Supervision with Extreme Multi-label Classification. - Lakshmi Rajendram Bashyam; Ralf Krestel (NSLP, 2024)

Improving Patent Classification using AI-Generated Summaries. - Naoya Yoshikawa; Ralf Krestel (PatentSemTech@SIGIR, 2024)

5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024). - Ralf Krestel; Hidir Aras; Linda Andersson; Florina Piroi; Allan Hanbury; Dean Alderucci (SIGIR, 2024)

MELArt: A Multimodal Entity Linking Dataset for Art. - Alejandro Sierra Múnera; Linh Le; Gianluca Demartini; Ralf Krestel (TGDK, 2024)

MELArt Dataset Generation. - Alejandro Sierra Múnera; Linh Le; Gianluca Demartini; Ralf Krestel (DROPS Artifacts, 2024)

MELArt Experiments. - Alejandro Sierra Múnera; Linh Le; Gianluca Demartini; Ralf Krestel (DROPS Artifacts, 2024)

6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2025). - Ralf Krestel; Hidir Aras; Linda Andersson; Florina Piroi; Allan Hanbury; Dean Alderucci (SIGIR, 2025)

Wie speichert man Wissen? Von Büchern zu Wissensgraphen und Sprachmodellen: Zusammenfassung eines Online-Vortrags am 22. April 2024 im Rahmen der DGI-Vortragsreihe "Künstliche Intelligenz - Vom Wunderkind zum Allrounder". - Ralf Krestel (Inf. Wiss. Prax., 2025)