Michael Färber

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 123

Top Venues

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. EACL (1) (2024)
Alberto Gómez-Espés, Michael Färber, Adam Jatowt
Benefits of international collaboration in computer science: a case study of China, the European Union, and the United States. Scientometrics 129 (2) (2024)
Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. CoRR (2024)
Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. CoRR (2024)
Michael Färber, Lazaros Tampakis
Analyzing the impact of companies on AI research based on publications. Scientometrics 129 (1) (2024)
Nicholas Popovic, Michael Färber
Embedded Named Entity Recognition using Probing Classifiers. CoRR (2024)
Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models. CoRR (2024)
Michael Färber, David Lamprecht, Yuni Susanti
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning. CoRR (2024)
Shuzhou Yuan, Michael Färber
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. CoRR (2024)
Yuni Susanti, Michael Färber
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery. CoRR (2024)
Chen Shao, Elias G. Giacoumidis, Shi Li, Jialei Li, Michael Färber, Tobias Käfer, André Richter
A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON. OFC (2024)
Juwal Regev, Adam Jatowt, Michael Färber
Future Timelines: Extraction and Visualization of Future-related Content From News Articles. WSDM (2024)
Michael Straub, Johannes Reber, Tarek Saier, Robert Borkowski, Shi Li, Dmitry Khomchenko, André Richter, Michael Färber, Tobias Käfer, René Bonk
ML approaches for OTDR diagnoses in passive optical networks - event detection and classification: ways for ODN branch assignment. J. Opt. Commun. Netw. 16 (7) (2024)
Michael Färber, Benjamin Zagoruiko, Markus Wambach
KITspotlight: A System for Spotlighting Researchers in the Media. ICWE (2024)
Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt
ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering. CoRR (2024)
Chen Shao, Elias G. Giacoumidis, Patrick Matalla, Jialei Li, Shi Li, Sebastian Randel, André Richter, Michael Färber, Tobias Käfer
Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network. CoRR (2024)
Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. ACL (Findings) (2024)
Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber
HyperPIE: Hyperparameter Information Extraction from Scientific Publications. ECIR (2) (2024)
Chen Shao, Elias G. Giacoumidis, Shi Li, Jialei Li, Michael Färber, Tobias Käfer, André Richter
A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON. CoRR (2024)
Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. CoRR (2024)
Zhan Qu, Daniel Gomm, Michael Färber
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs. CoRR (2024)
Shuzhou Yuan, Michael Färber
Evaluating Generative Models for Graph-to-Text Generation. CoRR (2023)
Kristian Noullet, Ayoub Ourgani, Michael Färber
A Full-Fledged Framework for Combining Entity Linking Systems and Components. K-CAP (2023)
Tarek Saier, Johan Krause, Michael Färber
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network. CoRR (2023)
Michael Färber, Nicholas Popovic
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. CoRR (2023)
Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples. CoRR (2023)
Adam Jatowt, Calvin Gehrer, Michael Färber
Automatic Hint Generation. ICTIR (2023)
Michael Färber, Melissa Coutinho, Shuzhou Yuan
Biases in scholarly recommender systems: impact, prevalence, and mitigation. Scientometrics 128 (5) (2023)
Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples. ISWC (2023)
David Faragó, Michael Färber, Christian Petrov
A Full-fledged Commit Message Quality Checker Based on Machine Learning. CoRR (2023)
Tarek Saier, Youxiang Dong, Michael Färber
CoCon: A Data Set on Combined Contextualized Research Artifact Use. CoRR (2023)
Michael Färber, Lazaros Tampakis
Analyzing the Impact of Companies on AI Research Based on Publications. CoRR (2023)
Michael Färber, David Lamprecht
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. CoRR (2023)
Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber
HyperPIE: Hyperparameter Information Extraction from Scientific Publications. CoRR (2023)
Michael Färber, Nicholas Popovic
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. RANLP (2023)
Florian Pickelmann, Michael Färber, Adam Jatowt
Ablesbarkeitsmesser: A System for Assessing the Readability of German Text. ECIR (3) (2023)
Michael Färber, Melissa Coutinho, Shuzhou Yuan
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation. CoRR (2023)
David Faragó, Michael Färber, Christian Petrov
A Full-fledged Commit Message Quality Checker Based on Machine Learning. COMPSAC (2023)
Shuzhou Yuan, Michael Färber
Evaluating Generative Models for Graph-to-Text Generation. RANLP (2023)
Michael Färber, David Lamprecht
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. ISWC (Posters/Demos/Industry) (2023)
Tarek Saier, Johan Krause, Michael Färber
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network. JCDL (2023)
Tarek Saier, Youxiang Dong, Michael Färber
CoCon: A Data Set on Combined Contextualized Research Artifact Use. JCDL (2023)
Michael Färber, Jannik Schwade, Adam Jatowt
Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election. CoRR (2023)
Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. CoRR (2023)
Nicholas Popovic, Michael Färber
Few-Shot Document-Level Relation Extraction. CoRR (2022)
Tarek Saier, Meng Luan, Michael Färber
A Blocking-Based Approach to Enhance Large-Scale Reference Linking. ULITE@JCDL (2022)
Michael Färber, Lin Ao
The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings. Quant. Sci. Stud. 3 (1) (2022)
Michael Färber, David Lamprecht
The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models. ISWC (Posters/Demos/Industry) (2022)
Igor Shapiro, Tarek Saier, Michael Färber
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. SDU@AAAI (2022)
Tanja Aue, Adam Jatowt, Michael Färber
Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis. CoRR (2022)
Chifumi Nishioka, Michael Färber, Tarek Saier
How does author affiliation affect preprint citation count?: analyzing citation bias at the institution and country level. JCDL (2022)
Leopold Müller, Lars Böcking, Michael Färber
Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations. SafeAI@AAAI (2022)
Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber
Explaining Convolutional Neural Networks by Tagging Filters. CIKM Workshops (2022)
Nicholas Popovic, Michael Färber
Few-Shot Document-Level Relation Extraction. NAACL-HLT (2022)
Michael Färber, Christoph Braun, Nicholas Popovic, Tarek Saier, Kristian Noullet
Which Publications' Metadata Are in Which Bibliographic Databases? A System for Exploration. BIR@ECIR (2022)
Chifumi Nishioka, Michael Färber, Tarek Saier
How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level. CoRR (2022)
Tarek Saier, Michael Färber, Tornike Tsereteli
Cross-lingual citations in English papers: a large-scale analysis of prevalence, usage, and impact. Int. J. Digit. Libr. 23 (2) (2022)
Nicholas Popovic, Walter Laurito, Michael Färber
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities. SemEval@NAACL (2022)
Nicholas Popovic, Walter Laurito, Michael Färber
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities. CoRR (2022)
Igor Shapiro, Tarek Saier, Michael Färber
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. SDU@AAAI (2022)
Michael Färber, Nicolas Weber
When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem. SDU@AAAI (2022)
Michael Färber, Ann-Kathrin Leisinger
Recommending Datasets for Scientific Problem Descriptions. CIKM (2021)
Anna Nguyen, Adrian Oberföll, Michael Färber
Right for the Right Reasons: Making Image Classification Intuitively Explainable. ECIR (2) (2021)
Kristian Noullet, Samuel Printz, Michael Färber
CLiT: Combining Linking Techniques for Everyone. ESWC (Satellite Events) (2021)
Michael Färber, Alexander Klein
Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe. CoRR (2021)
Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber
Explaining Convolutional Neural Networks by Tagging Filters. CoRR (2021)
Tarek Saier, Michael Färber, Tornike Tsereteli
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact. CoRR (2021)
Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP. ECML/PKDD (5) (2021)
Michael Färber, Vinzenz Zinecker, Isabela Bragaglia Cartus, Sebastian Celis, Maria Duma
C-Rex: A Comprehensive System for Recommending In-Text Citations with Explanations. WWW (Companion Volume) (2021)
Michael Färber, Alexander Albers, Felix Schüber
Identifying Used Methods and Datasets in Scientific Publications. SDU@AAAI (2021)
Michael Färber, Ann-Kathrin Leisinger
DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions. RecSys (2021)
Michael Färber, Frederic Bartscherer
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion. BIAS (2021)
Michael Färber, David Lamprecht
The data set knowledge graph: Creating a linked open data source for data sets. Quant. Sci. Stud. 2 (4) (2021)
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Improving question answering for event-focused questions in temporal collections of news articles. Inf. Retr. J. 24 (1) (2021)
Michael Färber, Anna Steyer
Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text. CoRR (2021)
Adam Jatowt, I-Chen Hung, Michael Färber, Ricardo Campos, Masatoshi Yoshikawa
Exploding TV Sets and Disappointing Laptops: Suggesting Interesting Content in News Archives Based on Surprise Estimation. ECIR (1) (2021)
Tarek Saier, Michael Färber
unarXive: a large scholarly data set with publications' full-text, annotated in-text citations, and links to metadata. Scientometrics 125 (3) (2020)
Kristian Noullet, Rico Mix, Michael Färber
: An Evaluation Data Set for Entity Linking Based on DBpedia, YAGO, Wikidata, and Crunchbase. LREC (2020)
Tarek Saier, Michael Färber
A Large-Scale Analysis of Cross-lingual Citations in English Papers. ICADL (2020)
Chifumi Nishioka, Michael Färber
Trends of Publications' Citations and Altmetrics Based on Open Access Types. JCDL (2020)
Michael Färber
Analyzing the GitHub Repositories of Research Papers. JCDL (2020)
Anna Nguyen, Tobias Weller, Michael Färber, York Sure-Vetter
Making Neural Networks FAIR. KGSWC (2020)
Michael Färber, Victoria Burkard, Adam Jatowt, Sora Lim
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias. CIKM (2020)
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Answering Event-Related Questions over Long-Term News Article Archives. ECIR (1) (2020)
Tarek Saier, Michael Färber
Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation. ECIR (1) (2020)
Michael Färber, Benjamin Scheer, Frederic Bartscherer
Who's Behind That Website? Classifying Websites by the Degree of Commercial Intent. ICWE (2020)
Anna Nguyen, Adrian Oberföll, Michael Färber
Right for the Right Reason: Making Image Classification Robust. CoRR (2020)
Michael Färber, Ashwath Sampath
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. JCDL (2020)
Michael Färber, Adam Jatowt
Citation Recommendation: Approaches and Datasets. CoRR (2020)
Michael Färber, Adam Jatowt
Citation recommendation: approaches and datasets. Int. J. Digit. Libr. 21 (4) (2020)
Boulos El Asmar, Syrine Chelly, Nour Azzi, Lynn Nassif, Jana El Asmar, Michael Färber
AWARE: A Situational Awareness Framework for Facilitating Adaptive Behavior of Autonomous Vehicles in Manufacturing. ISWC (2) (2020)
Michael Färber, Timo Klein, Joan Sigloch
Neural Citation Recommendation: A Reproducibility Study. BIR@ECIR (2020)
Michael Färber, Ashwath Sampath
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. CoRR (2020)
Sora Lim, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing. LREC (2020)
Michael Färber, Adam Jatowt
Finding Temporal Trends of Scientific Concepts. BIR@ECIR (2019)
Victor Anthony Arrascue Ayala, Polina Koleva, Anas Alzogbi, Matteo Cossu, Michael Färber, Patrick Philipp, Guilherme Schievelbein, Io Taxidou, Georg Lausen
Relational schemata for distributed SPARQL query processing. SBD@SIGMOD (2019)
Chifumi Nishioka, Michael Färber
Evaluating the Availability of Open Citation Data. BIRNDL@SIGIR (2019)
Michael Färber, Agon Qurdina, Lule Ahmedi
Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks. SemEval@NAACL-HLT (2019)
Michael Färber, Ashwath Sampath
Determining How Citations Are Used in Citation Contexts. TPDL (2019)
Michael Färber
The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data. ISWC (2) (2019)

Michael Färber.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael Färber