| 2026 | ECIR | LectureChat: Hybrid RAG over Wikipedia and Multilingual Lecture Videos. | Markos Dimitsas, Jochen L. Leidner |
| 2025 | ECIR | BiasScanner: Automatic News Bias Classification for Strengthening Democracy. | Tim Menzner, Jochen L. Leidner |
| 2025 | IC3K | Bias-Mitigating News Search with BiasRank. | Tim Menzner, Jochen L. Leidner |
| 2025 | SoMeT | MANDALA.ML: A Life Cycle-Centric and Role-Aware Methodology for Agile Machine Learning Projects. | Michael Reiche, Jochen L. Leidner |
| 2024 | ECIR | Homo Narrans: From Information to Narratives. | Jochen L. Leidner |
| 2024 | ECIR | Experiments in News Bias Detection with Pre-trained Neural Transformers. | Tim Menzner, Jochen L. Leidner |
| 2024 | NLDB | Improved Models for Media Bias Detection and Subcategorization. | Tim Menzner, Jochen L. Leidner |
| 2024 | W2GIS | TAME II: A Modern Geographic Text Annotation Tool. | Jochen L. Leidner, Luca Jung |
| 2023 | ECAI | Topic Segmentation of Educational Video Lectures Using Audio and Text. | Markos Dimitsas, Jochen L. Leidner |
| 2023 | ECAI | Language-Model Assisted Learning How to Program? | Jochen L. Leidner, Michael Reiche |
| 2023 | ECAI | Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students. | Michael Reiche, Jochen L. Leidner |
| 2023 | ECIR | Which Country Is This? Automatic Country Ranking of Street View Photos. | Tim Menzner, Florian Mittag, Jochen L. Leidner |
| 2023 | ECIR | Extractive Summarization of Financial Earnings Call Transcripts - Or: When GREP Beat BERT. | Timothy Nugent, George Gkotsis, Jochen L. Leidner |
| 2022 | EMNLP | DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents. | Puneet Mathur, Mihir Goyal, Ramit Sawhney, Ritik Mathur, Jochen L. Leidner, Franck Dernoncourt, Dinesh Manocha |
| 2022 | NLDB | Data to Value: An 'Evaluation-First' Methodology for Natural Language Projects. | Jochen L. Leidner |
| 2021 | FQAS | Detecting Environmental, Social and Governance (ESG) Topics Using Domain-Specific Language Models and Data Augmentation. | Timothy Nugent, Nicole Stelea, Jochen L. Leidner |
| 2020 | ECIR | Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval. | Jochen L. Leidner, Bruno Martins, Katherine McDonough, Ross S. Purves |
| 2019 | ECIR | Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling. | Daniel Pfeifer, Jochen L. Leidner |
| 2019 | FQAS | A Study on Topic Modeling for Feature Space Reduction in Text Classification. | Daniel Pfeifer, Jochen L. Leidner |
| 2019 | PAAMS | Financial Market Data Simulation Using Deep Intelligence Agents. | Natraj Raman, Jochen L. Leidner |
| 2019 | SIGIR | Nobody Said it Would be Easy: A Decade of R&D Projects in Information Access from Thomson over Reuters to Refinitiv. | Jochen L. Leidner |
| 2018 | KDD | An Extensible Event Extraction System With Cross-Media Event Resolution. | Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner |
| 2018 | NAACL | attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines. | Fabio Petroni, Vassilis Plachouras, Timothy Nugent, Jochen L. Leidner |
| 2018 | NAACL | A Comparison of Two Paraphrase Models for Taxonomy Augmentation. | Vassilis Plachouras, Fabio Petroni, Timothy Nugent, Jochen L. Leidner |
| 2016 | ECIR | Recent Advances in Information Access at Thomson Reuters R&D: News and Beyond. | Jochen L. Leidner |
| 2016 | ICDM | Risk Mining: Company-Risk Identification from Unstructured Sources. | Timothy Nugent, Jochen L. Leidner |
| 2016 | INLG | When to Plummet and When to Soar: Corpus Based Verb Selection for Natural Language Generation. | Charese Smiley, Vassilis Plachouras, Frank Schilder, Hiroko Bretz, Jochen L. Leidner, Dezhao Song |
| 2016 | SIGIR | Interacting with Financial Data using Natural Language. | Vassilis Plachouras, Charese Smiley, Hiroko Bretz, Ola Taylor, Jochen L. Leidner, Dezhao Song, Frank Schilder |
| 2013 | FQAS | Making Structured Data Searchable via Natural Language Generation - with an Application to ESG Data. | Jochen L. Leidner, Darya Kamkova |
| 2010 | ACL | Hunting for the Black Swan: Risk Mining from Text. | Jochen L. Leidner, Frank Schilder |
| 2009 | ICAIL | Query-based opinion summarization for legal blog entries. | Jack G. Conrad, Jochen L. Leidner, Frank Schilder, Ravi Kondadadi |
| 2008 | CIKM | Professional credibility: authority on the web. | Jack G. Conrad, Jochen L. Leidner, Frank Schilder |
| 2008 | LREC | Cost-Sensitive Learning in Answer Extraction. | Michael Wiegand, Jochen L. Leidner, Dietrich Klakow |
| 2007 | SIGIR | Resource monitoring in information extraction. | Jochen L. Leidner |
| 2007 | SIGIR | Combining term-based and event-based matching for question answering. | Michael Wiegand, Jochen L. Leidner, Dietrich Klakow |
| 2006 | LREC | Building an Evaluation Corpus for German Question Answering by Harvesting Wikipedia. | Irene M. Cramer, Jochen L. Leidner, Dietrich Klakow |
| 2005 | SIGIR | A wireless natural language search engine. | Jochen L. Leidner |
| 2004 | SIGIR | Toponym resolution in text (abstract only): "which sheffield is it?". | Jochen L. Leidner |