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ORCIDRalf Krestel
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- affiliation: ZBW - Leibniz Information Centre for Economics, Germany
- affiliation: Kiel University, Germany
- affiliation (former): Hasso Plattner Institute, Potsdam, Germany
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2020 – today
- 2025
[j19]Supriyo Mandal, Ralf Krestel
:
Like or dislike? capturing heterogeneity in social recommendation via motif-induced capsules. Knowl. Based Syst. 329: 114397 (2025)- [j18]Ralf Krestel:
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". Inf. Wiss. Prax. 76(1): 1-8 (2025) - [c92]Julian Stalter, Matthias Springstein, Maximilian Kristen, Eric Müller-Budack, Stefanie Schneider, Elias Entrup, Hubertus Kohle, Ralf Krestel, Ralph Ewerth:
Wissensgraphen und große Sprachmodelle in den Digital Humanities. DHd 2025 - [c91]Aftab Anjum, Ralf Krestel, Khansa Maqbool, Muhammad Mudasser Afzal:
InfraKG: Extracting and Structuring Infrastructure Entities from Scientific Articles. ICADL 2025: 185-202 - [c90]Aftab Anjum, Nimra Maqbool, Ralf Krestel:
Beyond Methods and Datasets Entities: Introducing SH-NER for Hardware and Software Entity Recognition in Scientific Text. RANLP 2025: 85-94 - [c89]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2025). SIGIR 2025: 4160-4163 - 2024
- [j17]Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel:
MELArt: A Multimodal Entity Linking Dataset for Art. TGDK 2(2): 8:1-8:22 (2024) - [c88]Benjamin Winter, Alexei Gustavo Figueroa Rosero, Alexander Löser, Felix Alexander Gers, Nancy Katerina Figueroa Rosero, Ralf Krestel:
DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment. LREC/COLING 2024: 4438-4448 - [c87]Dennis Davari, Liana Ermakova, Ralf Krestel:
Comparative Analysis of Evaluation Measures for Scientific Text Simplification. TPDL (1) 2024: 76-91 - [c86]Aftab Anjum, Ralf Krestel:
Fine-Tuning BERT on Coarse-Grained Labels: Exploring Hidden States for Fine-Grained Classification. NLDB (1) 2024: 1-15 - [c85]Alejandro Sierra Múnera, Ralf Krestel:
Shact: Disentangling and Clustering Latent Syntactic Structures from Transformer Encoders. NLDB (1) 2024: 364-378 - [c84]Lakshmi Rajendram Bashyam, Ralf Krestel:
Advancing Automatic Subject Indexing: Combining Weak Supervision with Extreme Multi-label Classification. NSLP 2024: 214-223 - [c83]Naoya Yoshikawa, Ralf Krestel:
Improving Patent Classification using AI-Generated Summaries. PatentSemTech@SIGIR 2024: 8-17 - [c82]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024). SIGIR 2024: 3021-3024 - [e3]Hidir Aras, Ralf Krestel, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
Proceedings of the 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, July 28th, 2024. CEUR Workshop Proceedings 3775, CEUR-WS.org 2024 [contents] - [d2]Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel:
MELArt Dataset Generation. DROPS Artifacts, 2024
- [d1]Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel:
MELArt Experiments. DROPS Artifacts, 2024 - 2023
- [j16]Ralf Krestel, Udo Kruschwitz, Michael Wiegand, Theo Härder:
Editorial. Datenbank-Spektrum 23(1): 1-3 (2023) - [j15]Nitisha Jain, Alejandro Sierra Múnera, Jan Ehmueller, Ralf Krestel:
Generation of training data for named entity recognition of artworks. Semantic Web 14(2): 239-260 (2023) - [c81]Alejandro Sierra Múnera, Jan Westphal, Ralf Krestel:
Efficient Ultrafine Typing of Named Entities. JCDL 2023: 205-214 - [c80]Jill Sammet, Ralf Krestel:
Domain-Specific Keyword Extraction using BERT. LDK 2023: 659-665 - [c79]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). SIGIR 2023: 3483-3486 - [c78]Mohamed Karim Belaid, Richard Bornemann, Maximilian Rabus, Ralf Krestel, Eyke Hüllermeier:
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark. xAI (2) 2023: 88-109 - [e2]Hidir Aras, Ralf Krestel, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
Proceedings of the 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) 2023 co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipeh, Taiwan, July 27th, 2023. CEUR Workshop Proceedings 3604, CEUR-WS.org 2023 [contents] - 2022
- [j14]Ralf Krestel, Annegret Kuhn, Wilhelm Hasselbring:
Data-driven analysis and prediction of norm acceptance. Inform. Spektrum 45(4): 240-245 (2022) - [c77]Nitisha Jain, Ralf Krestel:
Discovering Fine-Grained Semantics in Knowledge Graph Relations. CIKM 2022: 822-831 - [c76]Nitisha Jain, Alejandro Sierra Múnera, Maria Lomaeva, Julius Streit, Simon Thormeyer, Philipp Schmidt, Ralf Krestel:
Generating Domain-Specific Knowledge Graphs: Challenges with Open Information Extraction. TEXT2KG/MK@ESWC 2022: 52-69 - [c75]Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra Múnera, Gerard de Melo, Ralf Krestel:
Art Creation with Multi-Conditional StyleGANs. IJCAI 2022: 4936-4942 - [c74]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). SIGIR 2022: 3474-3477 - [i9]Nitisha Jain, Ralf Krestel:
Discovering Fine-Grained Semantics in Knowledge Graph Relations. CoRR abs/2202.08917 (2022) - [i8]Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra Múnera, Gerard de Melo, Ralf Krestel:
Art Creation with Multi-Conditional StyleGANs. CoRR abs/2202.11777 (2022) - [i7]Mohamed Karim Belaid, Eyke Hüllermeier, Maximilian Rabus, Ralf Krestel:
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark. CoRR abs/2207.14160 (2022) - 2021
- [j13]Mohamed Karim Belaid, Maximilian Rabus, Ralf Krestel:
CrashNet: an encoder-decoder architecture to predict crash test outcomes. Data Min. Knowl. Discov. 35(4): 1688-1709 (2021) - [c73]Tim Reke, Robert Schwanhold, Ralf Krestel:
Modeling the Evolution of Word Senses with Force-Directed Layouts of Co-occurrence Networks. LChange@ACL-IJCNLP 2021: 58-63 - [c72]Tim Repke, Ralf Krestel:
Robust Visualisation of Dynamic Text Collections: Measuring and Comparing Dimensionality Reduction Algorithms. CHIIR 2021: 255-259 - [c71]Nitisha Jain, Jan-Christoph Kalo, Wolf-Tilo Balke, Ralf Krestel:
Do Embeddings Actually Capture Knowledge Graph Semantics? ESWC 2021: 143-159 - [c70]Tim Repke, Ralf Krestel:
Interactive Curation of Semantic Representations in Digital Libraries. ICADL 2021: 219-229 - [c69]Julian Risch, Tim Repke, Lasse Kohlmeyer, Ralf Krestel:
ComEx: Comment Exploration on Online News Platforms. IUI Workshops 2021 - [c68]Julian Risch, Philipp Hager, Ralf Krestel:
Multifaceted Domain-Specific Document Embeddings. NAACL-HLT (Demonstrations) 2021: 78-83 - [c67]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). SIGIR 2021: 2693-2696 - [c66]Lasse Kohlmeyer, Tim Repke, Ralf Krestel:
Novel Views on Novels: Embedding Multiple Facets of Long Texts. WI/IAT 2021: 670-675 - 2020
- [j12]Philipp Hacker, Ralf Krestel, Stefan Grundmann, Felix Naumann:
Explainable AI under contract and tort law: legal incentives and technical challenges. Artif. Intell. Law 28(4): 415-439 (2020) - [c65]Julian Risch, Ralf Krestel:
Bagging BERT Models for Robust Aggression Identification. TRAC@LREC 2020: 55-61 - [c64]Julian Risch, Robin Ruff, Ralf Krestel:
Offensive Language Detection Explained. TRAC@LREC 2020: 137-143 - [c63]Julian Risch, Ralf Krestel:
A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments? CIKM 2020: 3117-3124 - [c62]Nitisha Jain, Christian Bartz, Tobias Bredow, Emanuel Metzenthin, Jona Otholt, Ralf Krestel:
Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-Historic Collections. ICPR Workshops (3) 2020: 517-530 - [c61]Julian Risch, Ralf Krestel:
Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. ICWSM 2020: 579-589 - [c60]Tim Repke, Ralf Krestel:
Exploration Interface for Jointly Visualised Text and Graph Data. IUI Companion 2020: 73-74 - [c59]Julian Risch, Samuele Garda, Ralf Krestel:
Hierarchical Document Classification as a Sequence Generation Task. JCDL 2020: 147-155 - [c58]Tim Repke, Ralf Krestel:
Visualising Large Document Collections by Jointly Modeling Text and Network Structure. JCDL 2020: 279-288 - [c57]Ali Ehteshami Bejnordi, Ralf Krestel:
Dynamic Channel and Layer Gating in Convolutional Neural Networks. KI 2020: 33-45 - [c56]Jan Ehmüller, Lasse Kohlmeyer, Holly McKee, Daniel Paeschke, Tim Repke, Ralf Krestel, Felix Naumann:
Sense Tree: Discovery of New Word Senses with Graph-based Scoring. LWDA 2020: 246-257 - [c55]Nitisha Jain, Ralf Krestel:
Learning Fine-Grained Semantics for Multi-Relational Data. ISWC (Demos/Industry) 2020: 124-129 - [c54]Julian Risch, Victor Künstler, Ralf Krestel:
HyCoNN: Hybrid Cooperative Neural Networks for Personalized News Discussion Recommendation. WI/IAT 2020: 41-48 - [i6]Julian Risch, Ralf Krestel:
Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. CoRR abs/2003.11949 (2020) - [i5]Julian Risch, Nicolas Alder, Christoph Hewel, Ralf Krestel:
PatentMatch: A Dataset for Matching Patent Claims & Prior Art. CoRR abs/2012.13919 (2020)
2010 – 2019
- 2019
- [j11]Julian Risch, Ralf Krestel:
Measuring and Facilitating Data Repeatability in Web Science. Datenbank-Spektrum 19(2): 117-126 (2019) - [j10]Julian Risch, Ralf Krestel:
Domain-specific word embeddings for patent classification. Data Technol. Appl. 53(1): 108-122 (2019) - [c53]Nitisha Jain, Ralf Krestel:
Who is Mona L.? Identifying Mentions of Artworks in Historical Archives. TPDL 2019: 115-122 - [c52]Julian Risch, Anke Stoll, Marc Ziegele, Ralf Krestel:
hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model. KONVENS 2019 - [c51]Thomas Kellermeier, Tim Repke, Ralf Krestel:
Mining Business Relationships from Stocks and News. MIDAS@PKDD 2019: 70-84 - [i4]Julian Risch, Ralf Krestel:
My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections. CoRR abs/1911.11240 (2019) - 2018
- [c50]Betty van Aken, Julian Risch, Ralf Krestel, Alexander Löser:
Challenges for Toxic Comment Classification: An In-Depth Error Analysis. ALW 2018: 33-42 - [c49]Tim Repke, Ralf Krestel, Jakob Edding, Moritz Hartmann, Jonas Hering, Dennis Kipping, Hendrik Schmidt, Nico Scordialo, Alexander Zenner:
Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora. CIKM 2018: 1871-1874 - [c48]Julian Risch, Ralf Krestel:
Aggression Identification Using Deep Learning and Data Augmentation. TRAC@COLING 2018 2018: 150-158 - [c47]Julian Risch, Ralf Krestel:
Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom. TRAC@COLING 2018 2018: 166-176 - [c46]Tim Repke, Ralf Krestel:
Bringing Back Structure to Free Text Email Conversations with Recurrent Neural Networks. ECIR 2018: 114-126 - [c45]Tim Repke, Ralf Krestel:
Topic-aware Network Visualisation to Explore Large Email Corpora. EDBT/ICDT Workshops 2018: 104-107 - [c44]Julian Risch, Samuele Garda, Ralf Krestel:
Book Recommendation Beyond the Usual Suspects - Embedding Book Plots Together with Place and Time Information. ICADL 2018: 227-239 - [c43]Julian Risch, Ralf Krestel:
Learning Patent Speak: Investigating Domain-Specific Word Embeddings. ICDIM 2018: 63-68 - [c42]Julian Risch, Ralf Krestel:
My Approach = Your Apparatus? JCDL 2018: 283-292 - [c41]Stefan Bunk, Ralf Krestel:
WELDA: Enhancing Topic Models by Incorporating Local Word Context. JCDL 2018: 293-302 - [c40]Carl Ambroselli, Julian Risch, Ralf Krestel, Andreas Loos:
Prediction for the Newsroom: Which Articles Will Get the Most Comments? NAACL-HLT (3) 2018: 193-199 - [c39]Michael Loster, Tim Repke, Ralf Krestel, Felix Naumann, Jan Ehmueller, Benjamin Feldmann, Oliver Maspfuhl:
The Challenges of Creating, Maintaining and Exploring Graphs of Financial Entities. DSMM@SIGMOD 2018: 6:1-6:2 - [i3]Betty van Aken, Julian Risch, Ralf Krestel, Alexander Löser:
Challenges for Toxic Comment Classification: An In-Depth Error Analysis. CoRR abs/1809.07572 (2018) - 2017
- [j9]Felix Naumann, Ralf Krestel:
Das Fachgebiet "Informationssysteme" am Hasso-Plattner-Institut. Datenbank-Spektrum 17(1): 69-76 (2017) - [c38]Julian Risch, Ralf Krestel:
What Should I Cite? Cross-Collection Reference Recommendation of Patents and Papers. TPDL 2017: 40-46 - [c37]Konstantina Lazaridou, Ralf Krestel, Felix Naumann:
Identifying Media Bias by Analyzing Reported Speech. ICDM 2017: 943-948 - [c36]Ralf Krestel, Julian Risch:
How Do Search Engines Work? A Massive Open Online Course with 4000 Participants. LWDA 2017: 259 - [c35]Zhe Zuo, Michael Loster, Ralf Krestel, Felix Naumann:
Uncovering Business Relationships: Context-sensitive Relationship Extraction for Difficult Relationship Types. LWDA 2017: 271 - [c34]Tim Repke, Michael Loster, Ralf Krestel:
Comparing Features for Ranking Relationships Between Financial Entities based on Text. DSMM@SIGMOD 2017: 12:1-12:2 - [c33]Toni Grütze, Ralf Krestel, Konstantina Lazaridou, Felix Naumann:
What was Hillary Clinton doing in Katy, Texas? WWW (Companion Volume) 2017: 783-784 - 2016
- [j8]Felix Naumann, Ralf Krestel:
The Information Systems Group at HPI. SIGMOD Rec. 45(2): 63-68 (2016) - [j7]Konstantina Lazaridou, Ralf Krestel:
Identifying Political Bias in News Articles. Bull. IEEE Tech. Comm. Digit. Libr. 12(2) (2016) - [c32]Jihyun Park, Margaret Blume-Kohout, Ralf Krestel, Eric T. Nalisnick, Padhraic Smyth:
Analyzing NIH Funding Patterns over Time with Statistical Text Analysis. AAAI Workshop: Scholarly Big Data 2016 - [c31]Christian Godde, Konstantina Lazaridou, Ralf Krestel:
Classification of German Newspaper Comments. LWDA 2016: 299-310 - [c30]Toni Grütze, Ralf Krestel, Felix Naumann:
Topic Shifts in StackOverflow: Ask it Like Socrates. NLDB 2016: 213-221 - [c29]Maximilian Grundke, Johannes Jasper, Mariya Perchyk, Jan Philipp Sachse, Ralf Krestel, Mariana L. Neves:
TextAI: Enhancing TextAE with Intelligent Annotation Support. SMBM 2016: 80-84 - [c28]Maximilian Jenders, Ralf Krestel, Felix Naumann:
Which Answer is Best?: Predicting Accepted Answers in MOOC Forums. WWW (Companion Volume) 2016: 679-684 - [e1]Ralf Krestel, Davide Mottin, Emmanuel Müller:
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Potsdam, Germany, September 12-14, 2016. CEUR Workshop Proceedings 1670, CEUR-WS.org 2016 [contents] - 2015
- [j6]Ralf Krestel, Nima Dokoohaki:
Diversifying customer review rankings. Neural Networks 66: 36-45 (2015) - [c27]Maximilian Jenders, Thorben Lindhauer, Gjergji Kasneci, Ralf Krestel, Felix Naumann:
A Serendipity Model for News Recommendation. KI 2015: 111-123 - [c26]Mandy Roick, Maximilian Jenders, Ralf Krestel:
How to Stay Up-To-Date on Twitter With General Keywords. LWA 2015: 373-381 - [c25]Tobias Schubotz, Ralf Krestel:
Online Temporal Summarization of News Events. WI-IAT (1) 2015: 409-412 - [c24]Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci:
Tweet-Recommender: Finding Relevant Tweets for News Articles. WWW (Companion Volume) 2015: 53-54 - [c23]Toni Grütze, Gary Yao, Ralf Krestel:
Learning Temporal Tagging Behaviour. WWW (Companion Volume) 2015: 1333-1338 - 2014
- [j5]Ralf Krestel, Sabine Bergler, René Witte:
Modeling human newspaper readers: The Fuzzy Believer approach. Nat. Lang. Eng. 20(2): 261-288 (2014) - 2013
- [c22]Nam Khanh Tran, Sergej Zerr, Kerstin Bischoff, Claudia Niederée, Ralf Krestel:
Topic Cropping: Leveraging Latent Topics for the Analysis of Small Corpora. TPDL 2013: 297-308 - [c21]Ralf Krestel, Stefan Siersdorfer:
Generating contextualized sentiment lexica based on latent topics and user ratings. HT 2013: 129-138 - [c20]Ralf Krestel, Padhraic Smyth:
Recommending patents based on latent topics. RecSys 2013: 395-398 - 2012
- [b1]Ralf Krestel:
On the use of language models and topic models in the web : new algorithms for filtering, classification, ranking, and recommendation. University of Hanover, 2012, pp. 1-128 - [j4]Ralf Krestel, Peter Fankhauser:
Personalized topic-based tag recommendation. Neurocomputing 76(1): 61-70 (2012) - [j3]Ralf Krestel, Peter Fankhauser:
Reranking web search results for diversity. Inf. Retr. 15(5): 458-477 (2012) - [c19]Christoph Lofi, Ralf Krestel:
iParticipate: Automatic Tweet Generation from Local Government Data. DASFAA (2) 2012: 295-298 - [c18]Ralf Krestel, Alex Wall, Wolfgang Nejdl:
Treehugger or petrolhead?: identifying bias by comparing online news articles with political speeches. WWW (Companion Volume) 2012: 547-548 - 2011
- [c17]Ralf Krestel, Gianluca Demartini, Eelco Herder:
Visual interfaces for stimulating exploratory search. JCDL 2011: 393-394 - [c16]Ralf Krestel, Nima Dokoohaki:
Diversifying Product Review Rankings: Getting the Full Picture. Web Intelligence 2011: 138-145 - [p1]René Witte, Thomas Kappler, Ralf Krestel, Peter C. Lockemann:
Integrating Wiki Systems, Natural Language Processing, and Semantic Technologies for Cultural Heritage Data Management. Language Technology for Cultural Heritage 2011: 213-230 - 2010
- [j2]René Witte, Ralf Krestel, Thomas Kappler, Peter C. Lockemann:
Converting a Historical Architecture Encyclopedia into a Semantic Knowledge Base. IEEE Intell. Syst. 25(1): 58-67 (2010) - [j1]Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel, Wolfgang Nejdl:
Why finding entities in Wikipedia is difficult, sometimes. Inf. Retr. 13(5): 534-567 (2010) - [c15]Bodo Billerbeck, Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel:
Ranking Entities Using Web Search Query Logs. ECDL 2010: 273-281 - [c14]Ralf Krestel, Bhaskar Mehta:
Learning the Importance of Latent Topics to Discover Highly Influential News Items. KI 2010: 211-218 - [c13]René Witte, Ralf Krestel:
Semantic Content Access Using Domain-Independent NLP Ontologies. NLDB 2010: 36-47 - [c12]Bodo Billerbeck, Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel:
Exploiting click-through data for entity retrieval. SIGIR 2010: 803-804 - [c11]Ralf Krestel, Peter Fankhauser:
Language Models and Topic Models for Personalizing Tag Recommendation. Web Intelligence 2010: 82-89
2000 – 2009
- 2009
- [c10]Gianluca Demartini, Claudiu S. Firan, Mihai Georgescu, Tereza Iofciu, Ralf Krestel, Wolfgang Nejdl:
An Architecture for Finding Entities on the Web. LA-WEB/CLIHC 2009: 230-237 - [c9]Ralf Krestel, Peter Fankhauser:
Tag Recommendation Using Probabilistic Topic Models. DC@PKDD/ECML 2009 - [c8]Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl:
Latent dirichlet allocation for tag recommendation. RecSys 2009: 61-68 - [i2]Ralf Krestel, René Witte, Sabine Bergler:
Believe It or Not: Solving the TAC 2009 Textual Entailment Tasks through an Artificial Believer System. TAC 2009 - 2008
- [c7]Ralf Krestel, Ling Chen:
The Art of Tagging: Measuring the Quality of Tags. ASWC 2008: 257-271 - [c6]Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel, Wolfgang Nejdl:
A Model for Ranking Entities and Its Application to Wikipedia. LA-WEB 2008: 29-38 - [c5]Ralf Krestel, Sabine Bergler, René Witte:
Minding the Source: Automatic Tagging of Reported Speech in Newspaper Articles. LREC 2008 - [c4]Ralf Krestel, Bhaskar Mehta:
Predicting News Story Importance Using Language Features. Web Intelligence 2008: 683-689 - [i1]Ralf Krestel, Sabine Bergler, René Witte:
A Belief Revision Approach to Textual Entailment Recognition. TAC 2008 - 2007
- [c3]Ralf Krestel, René Witte, Sabine Bergler:
Fuzzy Set Theory-Based Belief Processing for Natural Language Texts. AAAI 2007: 1878-1879 - [c2]Ralf Krestel, René Witte, Sabine Bergler:
Creating a Fuzzy Believer to Model Human Newspaper Readers. Canadian AI 2007: 489-501 - 2005
- [c1]René Witte, Petra Gerlach, Markus Joachim, Thomas Kappler, Ralf Krestel, Praharshana Perera:
Engineering a Semantic Desktop for Building Historians and Architects. Semantic Desktop Workshop 2005
Coauthor Index
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