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Michael Färber 0001

Michael Faerber 0001 – Michael Farber 0001

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affiliation: Technical University (TU) Dresden, Germany
affiliation (former): KIT, Germany
affiliation (former): University of Freiburg, Germany

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2024
[j15]
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Michael Farber:
Large simplicial complexes: universality, randomness, and ampleness. J. Appl. Comput. Topol. 8(6): 1551-1574 (2024)
[j14]
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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): 43 (2024)
[j13]
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Michael Färber, Lazaros Tampakis:
Analyzing the impact of companies on AI research based on publications. Scientometrics 129(1): 31-63 (2024)
[j12]
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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): 1155-1171 (2024)
[c79]
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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: 3987-4001
[c78]
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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: 2685-2702
[c77]
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Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber:
HyperPIE: Hyperparameter Information Extraction from Scientific Publications. ECIR (2) 2024: 254-269
[c76]
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  - conf/emnlp/Popovic024
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Nicholas Popovic, Michael Färber:
Embedded Named Entity Recognition using Probing Classifiers. EMNLP 2024: 17830-17850
[c75]
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Michael Färber, Benjamin Zagoruiko, Markus Wambach:
KITspotlight: A System for Spotlighting Researchers in the Media. ICWE 2024: 385-388
[c74]
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  - conf/naacl/YuanF24
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Shuzhou Yuan, Michael Färber:
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. NAACL-HLT (Findings) 2024: 920-933
[c73]
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  - conf/ofc/ShaoGLLFKR24
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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: 1-3
[c72]
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  - conf/wsdm/RegevJ024
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Juwal Regev, Adam Jatowt, Michael Färber:
Future Timelines: Extraction and Visualization of Future-related Content From News Articles. WSDM 2024: 1082-1085
[i39]
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  - journals/corr/abs-2401-16589
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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 abs/2401.16589 (2024)
[i38]
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  - journals/corr/abs-2402-11700
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Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber:
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. CoRR abs/2402.11700 (2024)
[i37]
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  - journals/corr/abs-2402-11709
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Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze:
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. CoRR abs/2402.11709 (2024)
[i36]
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  - journals/corr/abs-2402-18397
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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 abs/2402.18397 (2024)
[i35]
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  - journals/corr/abs-2403-11747
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Nicholas Popovic, Michael Färber:
Embedded Named Entity Recognition using Probing Classifiers. CoRR abs/2403.11747 (2024)
[i34]
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  - journals/corr/abs-2403-16846
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Zhan Qu, Daniel Gomm, Michael Färber:
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs. CoRR abs/2403.16846 (2024)
[i33]
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  - journals/corr/abs-2404-06911
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Shuzhou Yuan, Michael Färber:
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. CoRR abs/2404.06911 (2024)
[i32]
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  - journals/corr/abs-2405-00720
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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 abs/2405.00720 (2024)
[i31]
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  - journals/corr/abs-2405-02609
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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 abs/2405.02609 (2024)
[i30]
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  - journals/corr/abs-2405-09557
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Chen Shao, Elias G. Giacoumidis, Syed Moktacim Billah, Shi Li, Jialei Li, Prashasti Sahu, André Richter, Tobias Käfer, Michael Faerber:
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey. CoRR abs/2405.09557 (2024)
[i29]
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  - journals/corr/abs-2406-04866
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Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt:
ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering. CoRR abs/2406.04866 (2024)
[i28]
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  - journals/corr/abs-2407-18735
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Michael Färber, David Lamprecht, Yuni Susanti:
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning. CoRR abs/2407.18735 (2024)
[i27]
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  - journals/corr/abs-2407-18752
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Yuni Susanti, Michael Färber:
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery. CoRR abs/2407.18752 (2024)
2023
[j11]
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  - journals/scientometrics/FarberCY23
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Michael Färber, Melissa Coutinho, Shuzhou Yuan:
Biases in scholarly recommender systems: impact, prevalence, and mitigation. Scientometrics 128(5): 2703-2736 (2023)
[c71]
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  - conf/compsac/FaragoFP23
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David Faragó, Michael Färber, Christian Petrov:
A Full-fledged Commit Message Quality Checker Based on Machine Learning. COMPSAC 2023: 788-799
[c70]
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  - conf/ecir/PickelmannFJ23
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Florian Pickelmann, Michael Färber, Adam Jatowt:
Ablesbarkeitsmesser: A System for Assessing the Readability of German Text. ECIR (3) 2023: 288-293
[c69]
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  - conf/ictir/JatowtG023
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Adam Jatowt, Calvin Gehrer, Michael Färber:
Automatic Hint Generation. ICTIR 2023: 117-123
[c68]
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  - conf/jcdl/SaierDF23
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Tarek Saier, Youxiang Dong, Michael Färber:
CoCon: A Data Set on Combined Contextualized Research Artifact Use. JCDL 2023: 47-50
[c67]
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  - conf/jcdl/SaierKF23
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Tarek Saier, Johan Krause, Michael Färber:
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network. JCDL 2023: 66-70
[c66]
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  - conf/kcap/NoulletO023
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Kristian Noullet, Ayoub Ourgani, Michael Färber:
A Full-Fledged Framework for Combining Entity Linking Systems and Components. K-CAP 2023: 148-156
[c65]
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  - conf/ranlp/0001P23
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Michael Färber, Nicholas Popovic:
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. RANLP 2023: 331-335
[c64]
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  - conf/ranlp/Yuan023
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Shuzhou Yuan, Michael Färber:
Evaluating Generative Models for Graph-to-Text Generation. RANLP 2023: 1256-1264
[c63]
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  - conf/semweb/0001L23
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Michael Färber, David Lamprecht:
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. ISWC (Posters/Demos/Industry) 2023
[c62]
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  - conf/semweb/FarberLKAH23
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Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase:
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples. ISWC 2023: 94-112
[i26]
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  - journals/corr/abs-2301-02200
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Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner:
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. CoRR abs/2301.02200 (2023)
[i25]
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  - journals/corr/abs-2301-07483
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Michael Färber, Melissa Coutinho, Shuzhou Yuan:
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation. CoRR abs/2301.07483 (2023)
[i24]
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  - journals/corr/abs-2303-14957
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Tarek Saier, Johan Krause, Michael Färber:
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network. CoRR abs/2303.14957 (2023)
[i23]
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  - journals/corr/abs-2303-15193
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Tarek Saier, Youxiang Dong, Michael Färber:
CoCon: A Data Set on Combined Contextualized Research Artifact Use. CoRR abs/2303.15193 (2023)
[i22]
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  - journals/corr/abs-2307-14712
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Shuzhou Yuan, Michael Färber:
Evaluating Generative Models for Graph-to-Text Generation. CoRR abs/2307.14712 (2023)
[i21]
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  - journals/corr/abs-2308-03519
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Michael Färber, Nicholas Popovic:
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. CoRR abs/2308.03519 (2023)
[i20]
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  - journals/corr/abs-2308-03531
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Michael Färber, Jannik Schwade, Adam Jatowt:
Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election. CoRR abs/2308.03531 (2023)
[i19]
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  - journals/corr/abs-2308-03671
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Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase:
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples. CoRR abs/2308.03671 (2023)
[i18]
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  - journals/corr/abs-2309-04797
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David Faragó, Michael Färber, Christian Petrov:
A Full-fledged Commit Message Quality Checker Based on Machine Learning. CoRR abs/2309.04797 (2023)
[i17]
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  - journals/corr/abs-2310-20444
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Michael Färber, Lazaros Tampakis:
Analyzing the Impact of Companies on AI Research Based on Publications. CoRR abs/2310.20444 (2023)
[i16]
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  - journals/corr/abs-2310-20475
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Michael Färber, David Lamprecht:
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. CoRR abs/2310.20475 (2023)
[i15]
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  - journals/corr/abs-2312-10638
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Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber:
HyperPIE: Hyperparameter Information Extraction from Scientific Publications. CoRR abs/2312.10638 (2023)
2022
[j10]
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  - journals/jodl/SaierFT22
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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): 179-195 (2022)
[j9]
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  - journals/qss/FarberA22
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Michael Färber, Lin Ao:
The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings. Quant. Sci. Stud. 3(1): 51-98 (2022)
[c61]
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  - conf/aaai/0001W22
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Michael Färber, Nicolas Weber:
When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem. SDU@AAAI 2022
[c60]
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Leopold Müller, Lars Böcking, Michael Färber:
Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations. SafeAI@AAAI 2022
[c59]
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Igor Shapiro, Tarek Saier, Michael Färber:
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. SDU@AAAI 2022
[c58]
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Igor Shapiro, Tarek Saier, Michael Färber:
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. SDU@AAAI 2022
[c57]
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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: 39-44
[c56]
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Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber:
Explaining Convolutional Neural Networks by Tagging Filters. CIKM Workshops 2022
[c55]
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Tarek Saier, Meng Luan, Michael Färber:
A Blocking-Based Approach to Enhance Large-Scale Reference Linking. ULITE@JCDL 2022: 16-25
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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: 28:1-28:8
[c53]
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Nicholas Popovic, Michael Färber:
Few-Shot Document-Level Relation Extraction. NAACL-HLT 2022: 5733-5746
[c52]
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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: 1687-1694
[c51]
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Michael Färber, David Lamprecht:
The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models. ISWC (Posters/Demos/Industry) 2022
[i14]
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Nicholas Popovic, Walter Laurito, Michael Färber:
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities. CoRR abs/2203.05325 (2022)
[i13]
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Chifumi Nishioka, Michael Färber, Tarek Saier:
How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level. CoRR abs/2205.02033 (2022)
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Nicholas Popovic, Michael Färber:
Few-Shot Document-Level Relation Extraction. CoRR abs/2205.02048 (2022)
[i11]
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Tanja Aue, Adam Jatowt, Michael Färber:
Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis. CoRR abs/2212.11765 (2022)
2021
[j8]
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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): 29-54 (2021)
[j7]
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Michael Färber, David Lamprecht:
The data set knowledge graph: Creating a linked open data source for data sets. Quant. Sci. Stud. 2(4): 1324-1355 (2021)
[c50]
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Michael Färber, Alexander Albers, Felix Schüber:
Identifying Used Methods and Datasets in Scientific Publications. SDU@AAAI 2021
[c49]
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  - conf/bias/0001B21
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Michael Färber, Frederic Bartscherer:
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion. BIAS 2021: 9-13
[c48]
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Michael Färber, Ann-Kathrin Leisinger:
Recommending Datasets for Scientific Problem Descriptions. CIKM 2021: 3014-3018
[c47]
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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: 254-269
[c46]
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Anna Nguyen, Adrian Oberföll, Michael Färber:
Right for the Right Reasons: Making Image Classification Intuitively Explainable. ECIR (2) 2021: 327-333
[c45]
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Kristian Noullet, Samuel Printz, Michael Färber:
CLiT: Combining Linking Techniques for Everyone. ESWC (Satellite Events) 2021: 88-92
[c44]
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Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber:
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP. ECML/PKDD (5) 2021: 251-267
[c43]
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Michael Färber, Ann-Kathrin Leisinger:
DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions. RecSys 2021: 749-752
[c42]
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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: 441-445
[i10]
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Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber:
Explaining Convolutional Neural Networks by Tagging Filters. CoRR abs/2109.09389 (2021)
[i9]
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  - journals/corr/abs-2111-05097
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Tarek Saier, Michael Färber, Tornike Tsereteli:
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact. CoRR abs/2111.05097 (2021)
[i8]
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Michael Färber, Anna Steyer:
Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text. CoRR abs/2112.00160 (2021)
[i7]
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Michael Färber, Alexander Klein:
Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe. CoRR abs/2112.00859 (2021)
2020
[j6]
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Michael Färber, Adam Jatowt:
Citation recommendation: approaches and datasets. Int. J. Digit. Libr. 21(4): 375-405 (2020)
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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): 3085-3108 (2020)
[c41]
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Michael Färber, Timo Klein, Joan Sigloch:
Neural Citation Recommendation: A Reproducibility Study. BIR@ECIR 2020: 66-74
[c40]
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Michael Färber, Victoria Burkard, Adam Jatowt, Sora Lim:
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias. CIKM 2020: 3007-3014
[c39]
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Tarek Saier, Michael Färber:
Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation. ECIR (1) 2020: 220-233
[c38]
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Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa:
Answering Event-Related Questions over Long-Term News Article Archives. ECIR (1) 2020: 774-789
[c37]
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Tarek Saier, Michael Färber:
A Large-Scale Analysis of Cross-lingual Citations in English Papers. ICADL 2020: 122-138
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Michael Färber, Benjamin Scheer, Frederic Bartscherer:
Who's Behind That Website? Classifying Websites by the Degree of Commercial Intent. ICWE 2020: 130-145
[c35]
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Michael Färber, Ashwath Sampath:
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. JCDL 2020: 117-126
[c34]
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Michael Färber:
Analyzing the GitHub Repositories of Research Papers. JCDL 2020: 491-492
[c33]
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Chifumi Nishioka, Michael Färber:
Trends of Publications' Citations and Altmetrics Based on Open Access Types. JCDL 2020: 503-504
[c32]
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Anna Nguyen, Tobias Weller, Michael Färber, York Sure-Vetter:
Making Neural Networks FAIR. KGSWC 2020: 29-44
[c31]
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Sora Lim, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa:
Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing. LREC 2020: 1478-1484
[c30]
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Kristian Noullet, Rico Mix, Michael Färber:
KORE 50^DYWC: An Evaluation Data Set for Entity Linking Based on DBpedia, YAGO, Wikidata, and Crunchbase. LREC 2020: 2389-2395
[c29]
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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: 651-666
[i6]
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  - journals/corr/abs-2002-06406
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Michael Färber, Ashwath Sampath:
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. CoRR abs/2002.06406 (2020)
[i5]
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  - journals/corr/abs-2002-06961
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Michael Färber, Adam Jatowt:
Citation Recommendation: Approaches and Datasets. CoRR abs/2002.06961 (2020)
[i4]
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  - journals/corr/abs-2007-11924
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Anna Nguyen, Adrian Oberföll, Michael Färber:
Right for the Right Reason: Making Image Classification Robust. CoRR abs/2007.11924 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[c28]
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Michael Färber, Agon Qurdina, Lule Ahmedi:
Identifying Twitter Bots Using a Convolutional Neural Network. CLEF (Working Notes) 2019
[c27]
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Tarek Saier, Michael Färber:
Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks. BIR@ECIR 2019: 14-26
[c26]
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Michael Färber, Adam Jatowt:
Finding Temporal Trends of Scientific Concepts. BIR@ECIR 2019: 132-139
[c25]
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Michael Färber, Ashwath Sampath, Adam Jatowt:
PaperHunter: A System for Exploring Papers and Citation Contexts. ECIR (2) 2019: 246-250
[c24]
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Michael Färber, Ashwath Sampath:
Determining How Citations Are Used in Citation Contexts. TPDL 2019: 380-383
[c23]
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Michael Färber, Chifumi Nishioka, Adam Jatowt:
ScholarSight: Visualizing Temporal Trends of Scientific Concepts. JCDL 2019: 438-439
[c22]
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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: 1032-1036
[c21]
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Michael Färber:
The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data. ISWC (2) 2019: 113-129
[c20]
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Chifumi Nishioka, Michael Färber:
Evaluating the Availability of Open Citation Data. BIRNDL@SIGIR 2019: 123-129
[c19]
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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: 3:1-3:6
[i3]
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Michael Färber:
Linked Crunchbase: A Linked Data API and RDF Data Set About Innovative Companies. CoRR abs/1907.08671 (2019)
2018
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Michael Färber, Frederic Bartscherer, Carsten Menne, Achim Rettinger:
Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. Semantic Web 9(1): 77-129 (2018)
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Michael Färber, Carsten Menne, Andreas Harth:
A Linked Data wrapper for CrunchBase. Semantic Web 9(4): 505-515 (2018)
[c18]
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Michael Färber, Alexander Thiemann, Adam Jatowt:
To Cite, or Not to Cite? Detecting Citation Contexts in Text. ECIR 2018: 598-603
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Michael Färber, Alexander Thiemann, Adam Jatowt:
CITEWERTs: A System Combining Cite-Worthiness with Citation Recommendation. ECIR 2018: 815-819
[c16]
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Matteo Cossu, Michael Färber, Georg Lausen:
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies. EDBT 2018: 469-472
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I-Chen Hung, Michael Färber, Adam Jatowt:
Towards Recommending Interesting Content in News Archives. ICADL 2018: 142-146
[c14]
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Michael Färber, Alexander Thiemann, Adam Jatowt:
A High-Quality Gold Standard for Citation-based Tasks. LREC 2018
[i2]
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Matteo Cossu, Michael Färber, Georg Lausen:
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies. CoRR abs/1802.05898 (2018)
[i1]
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Michael Färber, Achim Rettinger:
Which Knowledge Graph Is Best for Me? CoRR abs/1809.11099 (2018)
2017
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Michael Färber:
Semantic search for novel information. Karlsruhe Institute of Technology, Germany, Studies on the Semantic Web 31, IOS Press 2017, ISBN 978-3-89838-727-9, pp. 1-193
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Lei Zhang, Andreas Thalhammer, Achim Rettinger, Michael Färber, Aditya Mogadala, Ronald Denaux:
The xLiMe system: Cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams. J. Web Semant. 46-47: 20-30 (2017)
[c13]
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Victor Anthony Arrascue Ayala, Kemal Cagin Gülsen, Anas Alzogbi, Michael Färber, Marco Muñiz, Georg Lausen:
A Delay-Robust Touristic Plan Recommendation Using Real-World Public Transportation Information. RecTour@RecSys 2017: 9-17
[c12]
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Lei Zhang, Maribel Acosta, Michael Färber, Steffen Thoma, Achim Rettinger:
BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search. ISWC (Posters, Demos & Industry Tracks) 2017
2016
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Michael Färber:
Using a semantic wiki for technology forecast and technology monitoring. Program 50(2): 225-242 (2016)
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Lei Zhang, Michael Färber, Achim Rettinger:
XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval. CIKM 2016: 2425-2428
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Michael Färber, Achim Rettinger, Boulos El Asmar:
On Emerging Entity Detection. EKAW 2016: 223-238
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Michael Färber, Achim Rettinger, Andreas Harth:
Towards Monitoring of Novel Statements in the News. ESWC 2016: 285-299
2015
[c8]
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Michael Färber, Achim Rettinger:
Toward Real Event Detection. DeRiVE@ESWC 2015: 24-34
[c7]
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Michael Färber, Achim Rettinger:
A Statistical Comparison of Current Knowledge Bases. SEMANTiCS (Posters & Demos) 2015: 18-21
2014
[c6]
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Michael Färber, Lei Zhang, Achim Rettinger:
Kuphi - an Investigation Tool for Searching for and via Semantic Relations. ESWC (Satellite Events) 2014: 349-354
[c5]
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Lei Zhang, Michael Färber, Achim Rettinger:
xLiD-Lexica: Cross-lingual Linked Data Lexica. LREC 2014: 2101-2105
[c4]
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Lei Zhang, Michael Färber, Thanh Tran, Achim Rettinger:
Exploiting Semantic Annotations for Entity-based Information Retrieval. ISWC (Posters & Demos) 2014: 429-432
2013
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Lei Zhang, Achim Rettinger, Michael Färber, Marko Tadic:
A Comparative Evaluation of Cross-Lingual Text Annotation Techniques. CLEF 2013: 124-135
[c2]
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Michael Färber, Achim Rettinger:
A semantic wiki for novelty search on documents. DIR 2013: 60-61
[c1]
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Michael Färber:
Ontology-Supported Document Ranking for Novelty Search. ESWC 2013: 639-644

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