Michael Färber

192 papers A* 6A 9B 14Misc 4Journal 87Unranked 71
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering.
CoRR
Philip Müller, Nicholas Popovic, Michael Färber, Peter Steinbach
2026 J jnl
GRAIL: Geometry-Aware Retrieval-Augmented Inference with LLMs over Hyperbolic Representations of Patient Trajectories.
CoRR
Zhan Qu, Michael Färber
2026 J jnl
Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas.
CoRR
Tim Schopf, Michael Färber
2026 A* conf
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs.
AAAI
Zhan Qu, Shuzhou Yuan, Michael Färber
2026 — conf
Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference.
ECIR (1)
Cornelius Kummer, Lena Jurkschat, Michael Färber, Sahar Vahdati
2026 J jnl
TRACE: Temporal Reasoning via Agentic Context Evolution for Streaming Electronic Health Records (EHRs).
CoRR
Zhan Qu, Michael Färber
2026 — conf
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models.
EACL (Findings)
Konrad Löhr, Shuzhou Yuan, Michael Färber
2026 J jnl
X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting.
CoRR
Zhan Qu, Michael Färber
2025 J jnl
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models.
CoRR
Tobias Schreieder, Tim Schopf, Michael Färber
2025 J jnl
Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs.
CoRR
Shuzhou Yuan, Ercong Nie, Yinuo Sun, Chenxuan Zhao, William LaCroix, Michael Färber
2025 — conf
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems.
DASFAA (5)
Michael Färber, David Lamprecht, Yuni Susanti
2025 J jnl
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems.
CoRR
Michael Färber, David Lamprecht, Yuni Susanti
2025 J jnl
Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs.
CoRR
Yuni Susanti, Michael Färber
2025 — conf
Claim2Source at CheckThat! 2025: Zero-Shot Style Transfer for Scientific Claim-Source Retrieval.
CLEF (Working Notes)
Tobias Schreieder, Michael Färber
2025 J jnl
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation.
CoRR
Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Färber
2025 A* conf
CoDy: Counterfactual Explainers for Dynamic Graphs.
ICML
Zhan Qu, Daniel Gomm, Michael Färber
2025 A* conf
ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering.
EMNLP
Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt
2025 — conf
Context-Based URL Classification for Open Access Datasets and Software in Scholarly Documents.
JCDL
Lamia Salsabil, Rochana R. Obadage, Bipasha Banerjee, Yasasi Abeysinghe, Sawood Alam, Michael Färber, William A. Ingram, Edward A. Fox, Jian Wu
2025 — conf
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models.
IJCNLP-AACL (Findings)
Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2025 J jnl
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations.
CoRR
Nicholas Popovic, Ashish Yashwanth Kangen, Tim Schopf, Michael Färber
2025 — conf
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence.
KDD (1)
Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan
2025 J jnl
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence.
CoRR
Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan
2025 A* conf
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass.
EMNLP
Nicholas Popovic, Michael Färber
2025 J jnl
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass.
CoRR
Nicholas Popovic, Michael Färber
2025 — conf
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks.
IJCNLP-AACL (Findings)
Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber
2025 J jnl
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks.
CoRR
Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber
2025 A* conf
Graph-Guided Textual Explanation Generation Framework.
EMNLP
Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein
2025 J jnl
Hallucinations Can Improve Large Language Models in Drug Discovery.
CoRR
Shuzhou Yuan, Michael Färber
2025 J jnl
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models.
CoRR
Shuzhou Yuan, Ercong Nie, Mario Tawfelis, Helmut Schmid, Hinrich Schütze, Michael Färber
2025 J jnl
Implementation of an open chemistry knowledge base with a Semantic Wiki.
J. Cheminformatics
Charlotte Neidiger, Tarek Saier, Kai Kühn, Victor Larignon, Michael Färber, Claudia Bizzarri, Helena Simek Tosino, Laura Holzhauer, Michael Erdmann, An Nguyen, Dean Harvey, Pierre Tremouilhac, Claudia Kramer, Daniel Hansch, Fabian Schönle, Jana Alpin, Maximilian Hartmann, Jérome Wagner, Nicole Jung, Stefan Bräse
2025 — conf
Incorporating Content-based Features into Quantum Knowledge Graph Embeddings.
AIQxQIA@ECAI
Jonas Hendl, Michael Färber
2025 J jnl
Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming.
CoRR
Christoph Stein, Michael Färber
2025 — conf
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification.
IJCNLP-AACL (Findings)
Shuzhou Yuan, Ercong Nie, Lukas Kouba, Helmut Schmid, Hinrich Schütze, Michael Färber
2025 J jnl
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification.
CoRR
Shuzhou Yuan, Ercong Nie, Lukas Kouba, Ashish Yashwanth Kangen, Helmut Schmid, Hinrich Schütze, Michael Färber
2025 J jnl
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models.
CoRR
Kristian Gonzalez Barman, Sascha Caron, Emily Sullivan, Henk W. de Regt, Roberto Ruiz de Austri, Mieke Boon, Michael Färber, Stefan Fröse, Faegheh Hasibi, Andreas Ipp, Rukshak Kapoor, Gregor Kasieczka, Daniel Kostic, Michael Krämer, Tobias Golling, Luis G. Lopez, Jesús Marco de Lucas, Sydney Otten, Pawel Pawlowski, Pietro Vischia, Erik Weber, Christoph Weniger
2025 J jnl
MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs.
CoRR
Zhan Qu, Michael Färber
2025 J jnl
Optical-access networks for smart sustainable cities: from network architecture to fiber deployment.
J. Opt. Commun. Netw.
Md Mosaddek Hossain Adib, Patrick Matalla, Christoph Füllner, Shi Li, Elias G. Giacoumidis, Christian Raack, Ulrich Menne, Michael Straub, Tarek Saier, Christoph Schweikert, Stefan Orf, Martin Gontscharow, Tobias Käfer, Michael Färber, André Richter, René Bonk, Sebastian Randel
2025 J jnl
Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts.
CoRR
Julius Neumann, Robert Lange, Yuni Susanti, Michael Färber
2025 — conf
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery.
KDD (2)
Yuni Susanti, Michael Färber
2025 J jnl
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery.
CoRR
Yuni Susanti, Michael Färber
2025 J jnl
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs.
CoRR
Zhan Qu, Shuzhou Yuan, Michael Färber
2025 — conf
Predicting Company ESG Ratings from News Articles Using Multivariate Timeseries Analysis.
WWW (Companion Volume)
Tanja Aue, Adam Jatowt, Michael Färber
2025 J jnl
RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering.
CoRR
Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber
2025 A conf
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting.
CIKM
Chen Shao, Michael Färber, Sebastian Pütz, Benjamin Schäfer, Yue Wang, Tobias Käfer, Zhanbo Huang, Zhenyi Zhu
2025 J jnl
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting.
CoRR
Chen Shao, Yue Wang, Zhenyi Zhu, Zhanbo Huang, Sebastian Pütz, Benjamin Schäfer, Tobias Käfer, Michael Färber
2025 — conf
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages.
NoDaLiDa/Baltic-HLT
Andrei Politov, Oleh Shkalikov, René Jäkel, Michael Färber
2025 J jnl
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages.
CoRR
Andrei Politov, Oleh Shkalikov, René Jäkel, Michael Färber
2025 A conf
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation.
CIKM
Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber
2025 J jnl
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation.
CoRR
Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber
2025 — conf
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification.
ECIR (4)
Michael Färber, Parisa Aghdam, Kyuri Im, Mario Tawfelis, Hardik Ghoshal
2025 J jnl
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification.
CoRR
Michael Färber, Parisa Aghdam, Kyuri Im, Mario Tawfelis, Hardik Ghoshal
2025 J jnl
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models.
CoRR
Konrad Löhr, Shuzhou Yuan, Michael Färber
2025 J jnl
The Impact of International Collaborations with Highly Publishing Countries in Computer Science.
CoRR
Alberto Gómez-Espés, Michael Färber, Adam Jatowt
2025 B conf
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
IJCNN
Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber
2024 — conf
A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON.
OFC
Chen Shao, Elias G. Giacoumidis, Shi Li, Jialei Li, Michael Färber, Tobias Käfer, André Richter
2024 J jnl
A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON.
CoRR
Chen Shao, Elias G. Giacoumidis, Shi Li, Jialei Li, Michael Färber, Tobias Käfer, André Richter
2024 J jnl
Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network.
CoRR
Chen Shao, Elias G. Giacoumidis, Patrick Matalla, Jialei Li, Shi Li, Sebastian Randel, André Richter, Michael Färber, Tobias Käfer
2024 J jnl
Analyzing the impact of companies on AI research based on publications.
Scientometrics
Michael Färber, Lazaros Tampakis
2024 J jnl
Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges.
CoRR
Irem Aydin, Hermann Diebel-Fischer, Vincent Freiberger, Julia Möller-Klapperich, Erik Buchmann, Michael Färber, Anne Lauber-Rönsberg, Birte Platow
2024 — conf
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning.
ISWC (3)
Michael Färber, David Lamprecht, Yuni Susanti
2024 J jnl
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning.
CoRR
Michael Färber, David Lamprecht, Yuni Susanti
2024 J jnl
Benefits of international collaboration in computer science: a case study of China, the European Union, and the United States.
Scientometrics
Alberto Gómez-Espés, Michael Färber, Adam Jatowt
2024 J jnl
ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering.
CoRR
Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt
2024 J jnl
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models.
CoRR
Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2024 A* conf
Embedded Named Entity Recognition using Probing Classifiers.
EMNLP
Nicholas Popovic, Michael Färber
2024 J jnl
Embedded Named Entity Recognition using Probing Classifiers.
CoRR
Nicholas Popovic, Michael Färber
2024 A conf
Future Timelines: Extraction and Visualization of Future-related Content From News Articles.
WSDM
Juwal Regev, Adam Jatowt, Michael Färber
2024 — conf
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network.
ACL (Findings)
Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
2024 J jnl
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network.
CoRR
Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
2024 — conf
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism.
NAACL-HLT (Findings)
Shuzhou Yuan, Michael Färber
2024 J jnl
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism.
CoRR
Shuzhou Yuan, Michael Färber
2024 J jnl
Graph-Guided Textual Explanation Generation Framework.
CoRR
Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein
2024 J jnl
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs.
CoRR
Zhan Qu, Daniel Gomm, Michael Färber
2024 — conf
HyperPIE: Hyperparameter Information Extraction from Scientific Publications.
ECIR (2)
Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber
2024 B conf
KITspotlight: A System for Spotlighting Researchers in the Media.
ICWE
Michael Färber, Benjamin Zagoruiko, Markus Wambach
2024 — conf
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-Based Causal Discovery.
ISWC (1)
Yuni Susanti, Michael Färber
2024 J jnl
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery.
CoRR
Yuni Susanti, Michael Färber
2024 J jnl
ML approaches for OTDR diagnoses in passive optical networks - event detection and classification: ways for ODN branch assignment.
J. Opt. Commun. Netw.
Michael Straub, Johannes Reber, Tarek Saier, Robert Borkowski, Shi Li, Dmitry Khomchenko, André Richter, Michael Färber, Tobias Käfer, René Bonk
2024 — conf
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction.
KBC-LM/LM-KBC@ISWC
Steven Rogulsky, Nicholas Popovic, Michael Färber
2024 J jnl
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction.
CoRR
Steven Rogulsky, Nicholas Popovic, Michael Färber
2024 — conf
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
EACL (1)
Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2024 J jnl
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
CoRR
Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2024 J jnl
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
CoRR
Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber
2023 B conf
A Full-Fledged Framework for Combining Entity Linking Systems and Components.
K-CAP
Kristian Noullet, Ayoub Ourgani, Michael Färber
2023 B conf
A Full-fledged Commit Message Quality Checker Based on Machine Learning.
COMPSAC
David Faragó, Michael Färber, Christian Petrov
2023 J jnl
A Full-fledged Commit Message Quality Checker Based on Machine Learning.
CoRR
David Faragó, Michael Färber, Christian Petrov
2023 — conf
Ablesbarkeitsmesser: A System for Assessing the Readability of German Text.
ECIR (3)
Florian Pickelmann, Michael Färber, Adam Jatowt
2023 J jnl
Analyzing the Impact of Companies on AI Research Based on Publications.
CoRR
Michael Färber, Lazaros Tampakis
2023 Misc conf
Automatic Hint Generation.
ICTIR
Adam Jatowt, Calvin Gehrer, Michael Färber
2023 J jnl
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation.
CoRR
Michael Färber, Melissa Coutinho, Shuzhou Yuan
2023 J jnl
Biases in scholarly recommender systems: impact, prevalence, and mitigation.
Scientometrics
Michael Färber, Melissa Coutinho, Shuzhou Yuan
2023 — conf
CoCon: A Data Set on Combined Contextualized Research Artifact Use.
JCDL
Tarek Saier, Youxiang Dong, Michael Färber
2023 J jnl
CoCon: A Data Set on Combined Contextualized Research Artifact Use.
CoRR
Tarek Saier, Youxiang Dong, Michael Färber
2023 Misc conf
Evaluating Generative Models for Graph-to-Text Generation.
RANLP
Shuzhou Yuan, Michael Färber
2023 J jnl
Evaluating Generative Models for Graph-to-Text Generation.
CoRR
Shuzhou Yuan, Michael Färber
2023 J jnl
HyperPIE: Hyperparameter Information Extraction from Scientific Publications.
CoRR
Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber
2023 J jnl
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets.
CoRR
Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner
2023 — conf
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph.
ISWC (Posters/Demos/Industry)
Michael Färber, David Lamprecht
2023 J jnl
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph.
CoRR
Michael Färber, David Lamprecht
2023 J jnl
Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election.
CoRR
Michael Färber, Jannik Schwade, Adam Jatowt
2023 Misc conf
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples.
ISWC
Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase
2023 J jnl
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples.
CoRR
Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase
2023 Misc conf
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings.
RANLP
Michael Färber, Nicholas Popovic
2023 J jnl
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings.
CoRR
Michael Färber, Nicholas Popovic
2023 — conf
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network.
JCDL
Tarek Saier, Johan Krause, Michael Färber
2023 J jnl
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network.
CoRR
Tarek Saier, Johan Krause, Michael Färber
2022 — conf
A Blocking-Based Approach to Enhance Large-Scale Reference Linking.
ULITE@JCDL
Tarek Saier, Meng Luan, Michael Färber
2022 — conf
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities.
SemEval@NAACL
Nicholas Popovic, Walter Laurito, Michael Färber
2022 J jnl
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities.
CoRR
Nicholas Popovic, Walter Laurito, Michael Färber
2022 J jnl
Cross-lingual citations in English papers: a large-scale analysis of prevalence, usage, and impact.
Int. J. Digit. Libr.
Tarek Saier, Michael Färber, Tornike Tsereteli
2022 — conf
Explaining Convolutional Neural Networks by Tagging Filters.
CIKM Workshops
Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber
2022 — conf
Few-Shot Document-Level Relation Extraction.
NAACL-HLT
Nicholas Popovic, Michael Färber
2022 J jnl
Few-Shot Document-Level Relation Extraction.
CoRR
Nicholas Popovic, Michael Färber
2022 J jnl
How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level.
CoRR
Chifumi Nishioka, Michael Färber, Tarek Saier
2022 — conf
How does author affiliation affect preprint citation count?: analyzing citation bias at the institution and country level.
JCDL
Chifumi Nishioka, Michael Färber, Tarek Saier
2022 J jnl
Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis.
CoRR
Tanja Aue, Adam Jatowt, Michael Färber
2022 — conf
Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations.
SafeAI@AAAI
Leopold Müller, Lars Böcking, Michael Färber
2022 — conf
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References.
SDU@AAAI
Igor Shapiro, Tarek Saier, Michael Färber
2022 — conf
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References.
SDU@AAAI
Igor Shapiro, Tarek Saier, Michael Färber
2022 — conf
The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models.
ISWC (Posters/Demos/Industry)
Michael Färber, David Lamprecht
2022 J jnl
The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings.
Quant. Sci. Stud.
Michael Färber, Lin Ao
2022 — conf
When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem.
SDU@AAAI
Michael Färber, Nicolas Weber
2022 — conf
Which Publications' Metadata Are in Which Bibliographic Databases? A System for Exploration.
BIR@ECIR
Michael Färber, Christoph Braun, Nicholas Popovic, Tarek Saier, Kristian Noullet
2021 J jnl
Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe.
CoRR
Michael Färber, Alexander Klein
2021 — conf
C-Rex: A Comprehensive System for Recommending In-Text Citations with Explanations.
WWW (Companion Volume)
Michael Färber, Vinzenz Zinecker, Isabela Bragaglia Cartus, Sebastian Celis, Maria Duma
2021 — conf
CLiT: Combining Linking Techniques for Everyone.
ESWC (Satellite Events)
Kristian Noullet, Samuel Printz, Michael Färber
2021 J jnl
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact.
CoRR
Tarek Saier, Michael Färber, Tornike Tsereteli
2021 A conf
DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions.
RecSys
Michael Färber, Ann-Kathrin Leisinger
2021 J jnl
Explaining Convolutional Neural Networks by Tagging Filters.
CoRR
Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber
2021 — conf
Exploding TV Sets and Disappointing Laptops: Suggesting Interesting Content in News Archives Based on Surprise Estimation.
ECIR (1)
Adam Jatowt, I-Chen Hung, Michael Färber, Ricardo Campos, Masatoshi Yoshikawa
2021 — conf
Identifying Used Methods and Datasets in Scientific Publications.
SDU@AAAI
Michael Färber, Alexander Albers, Felix Schüber
2021 J jnl
Improving question answering for event-focused questions in temporal collections of news articles.
Inf. Retr. J.
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
2021 — conf
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion.
BIAS
Michael Färber, Frederic Bartscherer
2021 — conf
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP.
ECML/PKDD (5)
Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber
2021 A conf
Recommending Datasets for Scientific Problem Descriptions.
CIKM
Michael Färber, Ann-Kathrin Leisinger
2021 — conf
Right for the Right Reasons: Making Image Classification Intuitively Explainable.
ECIR (2)
Anna Nguyen, Adrian Oberföll, Michael Färber
2021 J jnl
The data set knowledge graph: Creating a linked open data source for data sets.
Quant. Sci. Stud.
Michael Färber, David Lamprecht
2021 J jnl
Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text.
CoRR
Michael Färber, Anna Steyer
2020 — conf
A Large-Scale Analysis of Cross-lingual Citations in English Papers.
ICADL
Tarek Saier, Michael Färber
2020 A conf
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias.
CIKM
Michael Färber, Victoria Burkard, Adam Jatowt, Sora Lim
2020 — conf
AWARE: A Situational Awareness Framework for Facilitating Adaptive Behavior of Autonomous Vehicles in Manufacturing.
ISWC (2)
Boulos El Asmar, Syrine Chelly, Nour Azzi, Lynn Nassif, Jana El Asmar, Michael Färber
2020 — conf
Analyzing the GitHub Repositories of Research Papers.
JCDL
Michael Färber
2020 B conf
Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing.
LREC
Sora Lim, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
2020 — conf
Answering Event-Related Questions over Long-Term News Article Archives.
ECIR (1)
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
2020 J jnl
Citation Recommendation: Approaches and Datasets.
CoRR
Michael Färber, Adam Jatowt
2020 J jnl
Citation recommendation: approaches and datasets.
Int. J. Digit. Libr.
Michael Färber, Adam Jatowt
2020 — conf
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation.
JCDL
Michael Färber, Ashwath Sampath
2020 J jnl
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation.
CoRR
Michael Färber, Ashwath Sampath
2020 B conf
KORE 50
LREC
Kristian Noullet, Rico Mix, Michael Färber
2020 — conf
Making Neural Networks FAIR.
KGSWC
Anna Nguyen, Tobias Weller, Michael Färber, York Sure-Vetter
2020 — conf
Neural Citation Recommendation: A Reproducibility Study.
BIR@ECIR
Michael Färber, Timo Klein, Joan Sigloch
2020 J jnl
Right for the Right Reason: Making Image Classification Robust.
CoRR
Anna Nguyen, Adrian Oberföll, Michael Färber
2020 — conf
Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation.
ECIR (1)
Tarek Saier, Michael Färber
2020 — conf
Trends of Publications' Citations and Altmetrics Based on Open Access Types.
JCDL
Chifumi Nishioka, Michael Färber
2020 B conf
Who's Behind That Website? Classifying Websites by the Degree of Commercial Intent.
ICWE
Michael Färber, Benjamin Scheer, Frederic Bartscherer
2020 J jnl
unarXive: a large scholarly data set with publications' full-text, annotated in-text citations, and links to metadata.
Scientometrics
Tarek Saier, Michael Färber
2019 — conf
Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks.
BIR@ECIR
Tarek Saier, Michael Färber
2019 B conf
Determining How Citations Are Used in Citation Contexts.
TPDL
Michael Färber, Ashwath Sampath
2019 — conf
Evaluating the Availability of Open Citation Data.
BIRNDL@SIGIR
Chifumi Nishioka, Michael Färber
2019 — conf
Finding Temporal Trends of Scientific Concepts.
BIR@ECIR
Michael Färber, Adam Jatowt
2019 — conf
Identifying Twitter Bots Using a Convolutional Neural Network.
CLEF (Working Notes)
Michael Färber, Agon Qurdina, Lule Ahmedi
2019 J jnl
Linked Crunchbase: A Linked Data API and RDF Data Set About Innovative Companies.
CoRR
Michael Färber
2019 — conf
PaperHunter: A System for Exploring Papers and Citation Contexts.
ECIR (2)
Michael Färber, Ashwath Sampath, Adam Jatowt
2019 — conf
Relational schemata for distributed SPARQL query processing.
SBD@SIGMOD
Victor Anthony Arrascue Ayala, Polina Koleva, Anas Alzogbi, Matteo Cossu, Michael Färber, Patrick Philipp, Guilherme Schievelbein, Io Taxidou, Georg Lausen
2019 — conf
ScholarSight: Visualizing Temporal Trends of Scientific Concepts.
JCDL
Michael Färber, Chifumi Nishioka, Adam Jatowt
2019 — conf
Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks.
SemEval@NAACL-HLT
Michael Färber, Agon Qurdina, Lule Ahmedi
2019 — conf
The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data.
ISWC (2)
Michael Färber
2018 B conf
A High-Quality Gold Standard for Citation-based Tasks.
LREC
Michael Färber, Alexander Thiemann, Adam Jatowt
2018 J jnl
A Linked Data wrapper for CrunchBase.
Semantic Web
Michael Färber, Carsten Menne, Andreas Harth
2018 A conf
CITEWERTs: A System Combining Cite-Worthiness with Citation Recommendation.
ECIR
Michael Färber, Alexander Thiemann, Adam Jatowt
2018 J jnl
Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO.
Semantic Web
Michael Färber, Frederic Bartscherer, Carsten Menne, Achim Rettinger
2018 B conf
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies.
EDBT
Matteo Cossu, Michael Färber, Georg Lausen
2018 J jnl
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies.
CoRR
Matteo Cossu, Michael Färber, Georg Lausen
2018 A conf
To Cite, or Not to Cite? Detecting Citation Contexts in Text.
ECIR
Michael Färber, Alexander Thiemann, Adam Jatowt
2018 — conf
Towards Recommending Interesting Content in News Archives.
ICADL
I-Chen Hung, Michael Färber, Adam Jatowt
2018 J jnl
Which Knowledge Graph Is Best for Me?
CoRR
Michael Färber, Achim Rettinger
2017 — conf
A Delay-Robust Touristic Plan Recommendation Using Real-World Public Transportation Information.
RecTour@RecSys
Victor Anthony Arrascue Ayala, Kemal Cagin Gülsen, Anas Alzogbi, Michael Färber, Marco Muñiz, Georg Lausen
2017 — conf
BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search.
ISWC (Posters, Demos & Industry Tracks)
Lei Zhang, Maribel Acosta, Michael Färber, Steffen Thoma, Achim Rettinger
2017 — —
Semantic search for novel information.
Michael Färber
2017 J jnl
The xLiMe system: Cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams.
J. Web Semant.
Lei Zhang, Andreas Thalhammer, Achim Rettinger, Michael Färber, Aditya Mogadala, Ronald Denaux
2016 B conf
On Emerging Entity Detection.
EKAW
Michael Färber, Achim Rettinger, Boulos El Asmar
2016 B conf
Towards Monitoring of Novel Statements in the News.
ESWC
Michael Färber, Achim Rettinger, Andreas Harth
2016 J jnl
Using a semantic wiki for technology forecast and technology monitoring.
Program
Michael Färber
2016 A conf
XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval.
CIKM
Lei Zhang, Michael Färber, Achim Rettinger
2015 — conf
A Statistical Comparison of Current Knowledge Bases.
SEMANTiCS (Posters & Demos)
Michael Färber, Achim Rettinger
2015 — conf
Toward Real Event Detection.
DeRiVE@ESWC
Michael Färber, Achim Rettinger
2014 — conf
Exploiting Semantic Annotations for Entity-based Information Retrieval.
ISWC (Posters & Demos)
Lei Zhang, Michael Färber, Thanh Tran, Achim Rettinger
2014 — conf
Kuphi - an Investigation Tool for Searching for and via Semantic Relations.
ESWC (Satellite Events)
Michael Färber, Lei Zhang, Achim Rettinger
2014 B conf
xLiD-Lexica: Cross-lingual Linked Data Lexica.
LREC
Lei Zhang, Michael Färber, Achim Rettinger
2013 — conf
A Comparative Evaluation of Cross-Lingual Text Annotation Techniques.
CLEF
Lei Zhang, Achim Rettinger, Michael Färber, Marko Tadic
2013 — conf
A semantic wiki for novelty search on documents.
DIR
Michael Färber, Achim Rettinger
2013 B conf
Ontology-Supported Document Ranking for Novelty Search.
ESWC
Michael Färber