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ORCIDMichael Färber 0001
Michael Faerber 0001 – Michael Farber 0001
Person information
- affiliation: Technical University (TU) Dresden, Germany
- affiliation (former): KIT, Germany
- affiliation (former): University of Freiburg, Germany
Other persons with the same name
- Michael Färber 0002
![[0000-0003-1634-9525]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1634-9525")
— Universität Innsbruck, Austria (and 1 more) - Michael Faerber 0003 (aka: Michael Färber 0003) — Intel Mobile Communications GmbH, Munich, Germany
- Michael Farber — disambiguation page
- Michael Farber 0002 — Queen Mary University of London, School of Mathematical Sciences, UK (and 3 more)
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2020 – today
- 2026
[c117]Zhan Qu, Shuzhou Yuan, Michael Färber:
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs. AAAI 2026: 32764-32772- [c116]Zhan Qu, Michael Färber:
MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs. ACL (1) 2026: 16150-16164 - [c115]Tobias Schreieder, Tim Schopf, Michael Färber:
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models. ACL (1) 2026: 30956-31000 - [c114]Klaudia Thellmann, Bernhard Stadler, Michael Färber, Jens Lehmann:
Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation. ACL (1) 2026: 41311-41334 - [c113]Nicholas Popovic, Michael Färber:
Tracing Relational Knowledge Recall in Large Language Models. ACL (Findings) 2026: 43490-43509 - [c112]Tobias Schreieder, Harsh Khandelwal, Yu-Ling Zhong, Michael Färber:
Scientific Claim-Source Retrieval Revisited: A Comparative Study of Style Transfer and Re-ranking. CLEF 2026: 258-273 - [c111]Konrad Löhr, Shuzhou Yuan, Michael Färber:
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models. EACL (Findings) 2026: 2235-2252 - [c110]Cornelius Kummer, Lena Jurkschat, Michael Färber, Sahar Vahdati:
Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference. ECIR (1) 2026: 257-271 - [c109]Zhan Qu, Michael Färber:
X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting. KDD (2) 2026: 7878-7889 - [c108]Tim Schopf, Michael Färber:
Is This Idea Novel? An Automated Benchmark for Judgment of Research Ideas. LREC 2026: 4716-4727 - [c107]Ines Besrour, Michael Färber:
unarXive 2024: A Large-Scale Scientific Corpus for Citation-Aware Retrieval and Generation. LREC 2026: 6990-6997 - [c106]Klaudia Thellmann, Bernhard Stadler, Michael Färber:
Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite. LREC 2026: 9030-9043 - [c105]Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Färber:
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation. LREC 2026: 10677-10687 - [c104]Florian Kelber, Matthias Jobst, Yuni Susanti, Michael Färber:
Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models. NSLP@LREC 2026: 108-118 - [d35]Syeda Khushbakht Batool, Michael Färber, Adam Jatowt:
Task2Model. Zenodo, 2026
- [d34]Abdul Rafay, Yuni Susanti, David Lamprecht, Michael Färber:
SemRepo: A Knowledge Graph for Research Software and Its Scholarly Ecosystem. Version 2. Zenodo, 2026 [all versions] - [i88]Kyuri Im, Shuzhou Yuan, Michael Farber:
Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification. CoRR abs/2601.08668 (2026) - [i87]Philip Müller, Nicholas Popovic, Michael Färber, Peter Steinbach:
Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering. CoRR abs/2602.00279 (2026) - [i86]Zhan Qu, Michael Färber:
GRAIL: Geometry-Aware Retrieval-Augmented Inference with LLMs over Hyperbolic Representations of Patient Trajectories. CoRR abs/2602.12828 (2026) - [i85]Zhan Qu, Michael Färber:
TRACE: Temporal Reasoning via Agentic Context Evolution for Streaming Electronic Health Records (EHRs). CoRR abs/2602.12833 (2026) - [i84]Zhan Qu, Michael Färber:
X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting. CoRR abs/2602.12869 (2026) - [i83]Tim Schopf, Michael Färber:
Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas. CoRR abs/2603.10303 (2026) - [i82]Klaudia Thellmann, Bernhard Stadler, Michael Färber:
Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite. CoRR abs/2604.01957 (2026) - [i81]Florian Kelber, Matthias Jobst, Yuni Susanti, Michael Färber:
Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models. CoRR abs/2604.01965 (2026) - [i80]Cornelius Kummer, Lena Jurkschat, Michael Färber, Sahar Vahdati:
Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference. CoRR abs/2604.02985 (2026) - [i79]Nicholas Popovic, Michael Färber:
Tracing Relational Knowledge Recall in Large Language Models. CoRR abs/2604.19934 (2026) - [i78]Abdul Rafay, Yuni Susanti, David Lamprecht, Michael Färber:
SemRepo: A Knowledge Graph for Research Software and Its Scholarly Ecosystem. CoRR abs/2605.13310 (2026) - [i77]Klaudia-Doris Thellmann, Bernhard Stadler, Michael Färber, Jens Lehmann:
Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation. CoRR abs/2605.24904 (2026) - [i76]Jinhe Bi, Aniri, Minglai Yang, Xingcheng Zhou, Wenke Huang, Sikuan Yan, Yujun Wang, Zixuan Cao, Michael Färber, Xun Xiao, Volker Tresp, Yunpu Ma:
EchoRL: Reinforcement Learning via Rollout Echoing. CoRR abs/2605.31228 (2026) - [i75]Punit Kumar Singh, Niladri Ghosh, Advait Joshiinst, Shailee Choudhary, Michael Färber, Haiqin Yang:
NRITYAM: Language Models Meet Art and Heritage of Dance. CoRR abs/2606.19727 (2026) - [i74]Zeynep Yilbirt, Marina Litvak, Michael Färber:
Topic-to-Timestamp Alignment by Constrained Evidence Selection. CoRR abs/2606.20890 (2026) - [i73]Jingbo He, Michael Färber, Roberto Calandra:
RCT: A Robot-Collected Touch-Vision-Language Dataset for Tactile Generalization. CoRR abs/2606.31694 (2026) - [i72]Tobias Schreieder, Harsh Khandelwal, Yu-Ling Zhong, Michael Färber:
Claim2Source at CheckThat! 2026: Improving Multilingual Scientific Claim-Source Retrieval with Verification-based Re-Ranking. CoRR abs/2607.04043 (2026) - [i71]Jörn Maurischat, Nikola Besinovic, Michael Färber:
LP Mining with LP2Graph: A Use Case for Railway Rescheduling. CoRR abs/2607.11980 (2026) - [i70]Tobias Schreieder, Harsh Khandelwal, Yu-Ling Zhong, Michael Färber:
Scientific Claim-Source Retrieval Revisited: A Comparative Study of Style Transfer and Re-Ranking. CoRR abs/2607.15875 (2026) - [i69]Kyuri Im, Michael Färber:
A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries. CoRR abs/2607.25630 (2026) - [i68]Marina Litvak, Ariel Perstin, Ilan Shtilman, Michael Färber:
Example-Guided Prompting for Document-Level Text Simplification. CoRR abs/2608.05447 (2026) - 2025
- [j16]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:
Implementation of an open chemistry knowledge base with a Semantic Wiki. J. Cheminformatics 17(1): 99 (2025) - [j15]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:
Optical-access networks for smart sustainable cities: from network architecture to fiber deployment. J. Opt. Commun. Netw. 17(3): 221 (2025) - [c103]Jonas Hendl, Michael Färber:
Incorporating Content-based Features into Quantum Knowledge Graph Embeddings. AIQxQIA@ECAI 2025 - [c102]Chen Shao, Michael Färber, Sebastian Pütz, Benjamin Schäfer, Yue Wang, Tobias Käfer, Zhanbo Huang, Zhenyi Zhu:
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting. CIKM 2025: 6523-6527 - [c101]Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber:
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation. CIKM 2025: 6603-6608 - [c100]Tobias Schreieder, Michael Färber:
Claim2Source at CheckThat! 2025: Zero-Shot Style Transfer for Scientific Claim-Source Retrieval. CLEF (Working Notes) 2025: 1203-1216 - [c99]Michael Färber, David Lamprecht, Yuni Susanti:
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems. DASFAA (5) 2025: 425-437 - [c98]Michael Färber, Parisa Aghdam, Kyuri Im, Mario Tawfelis, Hardik Ghoshal:
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification. ECIR (4) 2025: 418-424 - [c97]Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt:
ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering. EMNLP 2025: 9100-9112 - [c96]Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein:
Graph-Guided Textual Explanation Generation Framework. EMNLP 2025: 29362-29386 - [c95]Nicholas Popovic, Michael Färber:
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass. EMNLP 2025: 31692-31705 - [c94]Zhan Qu, Daniel Gomm, Michael Färber:
CoDy: Counterfactual Explainers for Dynamic Graphs. ICML 2025 - [c93]Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models. IJCNLP-AACL (Findings) 2025: 646-659 - [c92]Shuzhou Yuan, Ercong Nie, Lukas Kouba, Helmut Schmid, Hinrich Schütze, Michael Färber:
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification. IJCNLP-AACL (Findings) 2025: 1014-1027 - [c91]Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber:
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks. IJCNLP-AACL (Findings) 2025: 1028-1040 - [c90]Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber:
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. IJCNN 2025: 1-8 - [c89]Lamia Salsabil, Rochana R. Obadage, Bipasha Banerjee, Yasasi Abeysinghe, Sawood Alam, Michael Färber, William A. Ingram, Edward A. Fox, Jian Wu:
Context-Based URL Classification for Open Access Datasets and Software in Scholarly Documents. JCDL 2025: 197-206 - [c88]Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan:
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. KDD (1) 2025: 2504-2513 - [c87]Yuni Susanti, Michael Färber:
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery. KDD (2) 2025: 2778-2789 - [c86]Andrei Politov, Oleh Shkalikov, René Jäkel, Michael Färber:
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages. NoDaLiDa/Baltic-HLT 2025: 499-507 - [c85]Tim Schopf, Juraj Vladika, Michael Färber, Florian Matthes:
Natural Language Inference Fine-tuning for Scientific Hallucination Detection. SDP@ACL 2025: 344-352 - [c84]Tanja Aue, Adam Jatowt, Michael Färber:
Predicting Company ESG Ratings from News Articles Using Multivariate Timeseries Analysis. WWW (Companion Volume) 2025: 1774-1780 - [d33]Michael Färber, Syeda Khushbakht Batool, Adam Jatowt:
HF-NLP10K: A Dataset and Metadata Analysis of 10,000+ Hugging Face NLP Models. Zenodo, 2025 - [d32]Abdul Rafay, David Lamprecht, Michael Färber:
SemRepo.org. Version 1. Zenodo, 2025 [all versions] - [i67]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:
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models. CoRR abs/2501.05382 (2025) - [i66]Christoph Stein, Michael Färber:
Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming. CoRR abs/2501.09682 (2025) - [i65]Shuzhou Yuan, Michael Färber:
Hallucinations Can Improve Large Language Models in Drug Discovery. CoRR abs/2501.13824 (2025) - [i64]Andrei Politov, Oleh Shkalikov, René Jäkel, Michael Färber:
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages. CoRR abs/2501.18750 (2025) - [i63]Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan:
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. CoRR abs/2503.00518 (2025) - [i62]Yuni Susanti, Michael Färber:
Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs. CoRR abs/2504.10936 (2025) - [i61]Michael Färber, Parisa Aghdam, Kyuri Im, Mario Tawfelis, Hardik Ghoshal:
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification. CoRR abs/2504.14223 (2025) - [i60]Alberto Gómez-Espés, Michael Färber, Adam Jatowt:
The Impact of International Collaborations with Highly Publishing Countries in Computer Science. CoRR abs/2505.09776 (2025) - [i59]Shuzhou Yuan, Ercong Nie, Lukas Kouba, Ashish Yashwanth Kangen, Helmut Schmid, Hinrich Schütze, Michael Färber:
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification. CoRR abs/2506.01484 (2025) - [i58]Shuzhou Yuan, Ercong Nie, Mario Tawfelis, Helmut Schmid, Hinrich Schütze, Michael Färber:
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models. CoRR abs/2506.08593 (2025) - [i57]Michael Färber, David Lamprecht, Yuni Susanti:
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems. CoRR abs/2506.08743 (2025) - [i56]Yuni Susanti, Michael Färber:
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery. CoRR abs/2506.08771 (2025) - [i55]Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber:
RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering. CoRR abs/2506.16988 (2025) - [i54]Nicholas Popovic, Ashish Yashwanth Kangen, Tim Schopf, Michael Färber:
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations. CoRR abs/2507.05997 (2025) - [i53]Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber:
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks. CoRR abs/2508.02502 (2025) - [i52]Zhan Qu, Shuzhou Yuan, Michael Färber:
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs. CoRR abs/2508.02515 (2025) - [i51]Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Färber:
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation. CoRR abs/2508.08386 (2025) - [i50]Tobias Schreieder, Tim Schopf, Michael Färber:
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models. CoRR abs/2508.15396 (2025) - [i49]Julius Neumann, Robert Lange, Yuni Susanti, Michael Färber:
Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts. CoRR abs/2509.04982 (2025) - [i48]Chen Shao, Yue Wang, Zhenyi Zhu, Zhanbo Huang, Sebastian Pütz, Benjamin Schäfer, Tobias Käfer, Michael Färber:
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting. CoRR abs/2509.05768 (2025) - [i47]Nicholas Popovic, Michael Färber:
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass. CoRR abs/2509.18901 (2025) - [i46]Shuzhou Yuan, Ercong Nie, Yinuo Sun, Chenxuan Zhao, William LaCroix, Michael Färber:
Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs. CoRR abs/2510.08158 (2025) - [i45]Konrad Löhr, Shuzhou Yuan, Michael Färber:
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models. CoRR abs/2510.08236 (2025) - [i44]Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber:
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation. CoRR abs/2510.15682 (2025) - [i43]Zhan Qu, Michael Färber:
MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs. CoRR abs/2512.20822 (2025) - 2024
- [j14]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]Michael Färber, Lazaros Tampakis:
Analyzing the impact of companies on AI research based on publications. Scientometrics 129(1): 31-63 (2024) - [j12]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) - [c83]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 - [c82]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 - [c81]Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber:
HyperPIE: Hyperparameter Information Extraction from Scientific Publications. ECIR (2) 2024: 254-269 - [c80]Nicholas Popovic, Michael Färber:
Embedded Named Entity Recognition using Probing Classifiers. EMNLP 2024: 17830-17850 - [c79]Michael Färber, Benjamin Zagoruiko, Markus Wambach:
KITspotlight: A System for Spotlighting Researchers in the Media. ICWE 2024: 385-388 - [c78]Steven Rogulsky, Nicholas Popovic, Michael Färber:
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction. KBC-LM/LM-KBC@ISWC 2024 - [c77]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 - [c76]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 - [c75]Yuni Susanti, Michael Färber:
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-Based Causal Discovery. ISWC (1) 2024: 87-106 - [c74]Michael Färber, David Lamprecht, Yuni Susanti:
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning. ISWC (3) 2024: 115-133 - [c73]Juwal Regev, Adam Jatowt, Michael Färber:
Future Timelines: Extraction and Visualization of Future-related Content From News Articles. WSDM 2024: 1082-1085 - [d31]Michael Färber, David Lamprecht:
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. Version 2. Zenodo, 2024 [all versions] - [d30]Michael Färber, David Lamprecht:
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. Version 3. Zenodo, 2024 [all versions] - [d29]David Lamprecht, Michael Färber:
Linked Papers With Code: Knowledge Graph Embeddings. Version 2. Zenodo, 2024 [all versions] - [d28]David Lamprecht, Michael Färber:
Graph Machine Learning Dataset LinkedMDB (LinkedMDB-GML). Version 1. Zenodo, 2024 [all versions] - [d27]David Lamprecht, Michael Färber:
Graph Machine Learning Dataset LinkedMDB (LinkedMDB-GML). Version 2. Zenodo, 2024 [all versions] - [d26]David Lamprecht, Michael Färber, Yuni Susanti:
Graph Machine Learning Dataset AIFB (AIFB-GML). Zenodo, 2024 - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]Nicholas Popovic, Michael Färber:
Embedded Named Entity Recognition using Probing Classifiers. CoRR abs/2403.11747 (2024) - [i37]Zhan Qu, Daniel Gomm, Michael Färber:
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs. CoRR abs/2403.16846 (2024) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt:
ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering. CoRR abs/2406.04866 (2024) - [i31]Michael Färber, David Lamprecht, Yuni Susanti:
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning. CoRR abs/2407.18735 (2024) - [i30]Yuni Susanti, Michael Färber:
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery. CoRR abs/2407.18752 (2024) - [i29]Irem Aydin, Hermann Diebel-Fischer, Vincent Freiberger, Julia Möller-Klapperich, Erik Buchmann, Michael Färber, Anne Lauber-Rönsberg, Birte Platow:
Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges. CoRR abs/2410.08381 (2024) - [i28]Steven Rogulsky, Nicholas Popovic, Michael Färber:
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction. CoRR abs/2410.08393 (2024) - [i27]Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein:
Graph-Guided Textual Explanation Generation Framework. CoRR abs/2412.12318 (2024) - 2023
- [j11]Michael Färber, Melissa Coutinho, Shuzhou Yuan:
Biases in scholarly recommender systems: impact, prevalence, and mitigation. Scientometrics 128(5): 2703-2736 (2023) - [c72]David Faragó, Michael Färber, Christian Petrov:
A Full-fledged Commit Message Quality Checker Based on Machine Learning. COMPSAC 2023: 788-799 - [c71]Florian Pickelmann, Michael Färber, Adam Jatowt:
Ablesbarkeitsmesser: A System for Assessing the Readability of German Text. ECIR (3) 2023: 288-293 - [c70]Adam Jatowt, Calvin Gehrer, Michael Färber:
Automatic Hint Generation. ICTIR 2023: 117-123 - [c69]Tarek Saier, Youxiang Dong, Michael Färber:
CoCon: A Data Set on Combined Contextualized Research Artifact Use. JCDL 2023: 47-50 - [c68]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 - [c67]Kristian Noullet, Ayoub Ourgani, Michael Färber:
A Full-Fledged Framework for Combining Entity Linking Systems and Components. K-CAP 2023: 148-156 - [c66]Michael Färber, Nicholas Popovic:
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. RANLP 2023: 331-335 - [c65]Shuzhou Yuan, Michael Färber:
Evaluating Generative Models for Graph-to-Text Generation. RANLP 2023: 1256-1264 - [c64]Michael Färber, David Lamprecht:
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. ISWC (Posters/Demos/Industry) 2023 - [c63]Michael Färber, David Lamprecht, Johan Krause, Linn Aung, Peter Haase:
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples. ISWC 2023: 94-112 - [d25]Michael Färber, Johan Krause:
Linked Papers With Code: Knowledge Graph Embeddings. Version 1. Zenodo, 2023 [all versions] - [d24]Michael Färber, David Lamprecht:
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. Version 1. Zenodo, 2023 [all versions] - [d23]Tarek Saier, Youxiang Dong, Michael Färber:
CoCon: A Data Set on Combined Contextualized Research Artifact Use. Zenodo, 2023 - [d22]Tarek Saier, Johan Krause, Michael Färber:
unarXive: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network (full). Zenodo, 2023 - [d21]Tarek Saier, Johan Krause, Michael Färber:
unarXive: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network (open subset). Zenodo, 2023 - [i26]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]Michael Färber, Melissa Coutinho, Shuzhou Yuan:
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation. CoRR abs/2301.07483 (2023) - [i24]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]Tarek Saier, Youxiang Dong, Michael Färber:
CoCon: A Data Set on Combined Contextualized Research Artifact Use. CoRR abs/2303.15193 (2023) - [i22]Shuzhou Yuan, Michael Färber:
Evaluating Generative Models for Graph-to-Text Generation. CoRR abs/2307.14712 (2023) - [i21]Michael Färber, Nicholas Popovic:
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. CoRR abs/2308.03519 (2023) - [i20]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]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]David Faragó, Michael Färber, Christian Petrov:
A Full-fledged Commit Message Quality Checker Based on Machine Learning. CoRR abs/2309.04797 (2023) - [i17]Michael Färber, Lazaros Tampakis:
Analyzing the Impact of Companies on AI Research Based on Publications. CoRR abs/2310.20444 (2023) - [i16]Michael Färber, David Lamprecht:
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. CoRR abs/2310.20475 (2023) - [i15]Tarek Saier, Mayumi Ohta, Takuto Asakura, Michael Färber:
HyperPIE: Hyperparameter Information Extraction from Scientific Publications. CoRR abs/2312.10638 (2023) - 2022
- [j10]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]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) - [c62]Michael Färber, Nicolas Weber:
When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem. SDU@AAAI 2022 - [c61]Leopold Müller, Lars Böcking, Michael Färber:
Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations. SafeAI@AAAI 2022 - [c60]Igor Shapiro, Tarek Saier, Michael Färber:
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. SDU@AAAI 2022 - [c59]Igor Shapiro, Tarek Saier, Michael Färber:
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. SDU@AAAI 2022 - [c58]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 - [c57]Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber:
Explaining Convolutional Neural Networks by Tagging Filters. CIKM Workshops 2022 - [c56]Tarek Saier, Meng Luan, Michael Färber:
A Blocking-Based Approach to Enhance Large-Scale Reference Linking. ULITE@JCDL 2022: 16-25 - [c55]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 - [c54]Nicholas Popovic, Michael Färber:
Few-Shot Document-Level Relation Extraction. NAACL-HLT 2022: 5733-5746 - [c53]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 - [c52]Michael Färber, David Lamprecht:
The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models. ISWC (Posters/Demos/Industry) 2022 - [d20]Chifumi Nishioka, Michael Färber, Tarek Saier:
Supplementary Material of "How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level". Zenodo, 2022 - [d19]Chifumi Nishioka, Michael Färber, Tarek Saier:
Supplementary Material of "How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level". Zenodo, 2022 - [i14]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]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) - [i12]Nicholas Popovic, Michael Färber:
Few-Shot Document-Level Relation Extraction. CoRR abs/2205.02048 (2022) - [i11]Tanja Aue, Adam Jatowt, Michael Färber:
Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis. CoRR abs/2212.11765 (2022) - 2021
- [j8]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]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) - [c51]Michael Färber, Alexander Albers, Felix Schüber:
Identifying Used Methods and Datasets in Scientific Publications. SDU@AAAI 2021 - [c50]Michael Färber, Frederic Bartscherer:
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion. BIAS 2021: 9-13 - [c49]Michael Färber, Ann-Kathrin Leisinger:
Recommending Datasets for Scientific Problem Descriptions. CIKM 2021: 3014-3018 - [c48]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 - [c47]Anna Nguyen, Adrian Oberföll, Michael Färber:
Right for the Right Reasons: Making Image Classification Intuitively Explainable. ECIR (2) 2021: 327-333 - [c46]Kristian Noullet, Samuel Printz, Michael Färber:
CLiT: Combining Linking Techniques for Everyone. ESWC (Satellite Events) 2021: 88-92 - [c45]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 - [c44]Michael Färber, Ann-Kathrin Leisinger:
DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions. RecSys 2021: 749-752 - [c43]Johan Krause, Igor Shapiro, Tarek Saier, Michael Färber:
Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic. SDP@NAACL 2021: 66-72 - [c42]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 - [d18]Michael Färber:
The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data. Version 2020-06-19. Zenodo, 2021 [all versions] - [d17]Michael Färber, David Lamprecht:
Data Set Knowledge Graph (DSKG). Zenodo, 2021 - [d16]Johan Krause, Igor Shapiro, Tarek Saier, Michael Färber:
Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications. Zenodo, 2021 - [d15]Igor Shapiro, Tarek Saier, Michael Färber:
Data for Cyrillic Reference Parsing. Zenodo, 2021 - [i10]Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber:
Explaining Convolutional Neural Networks by Tagging Filters. CoRR abs/2109.09389 (2021) - [i9]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]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]Michael Färber, Alexander Klein:
Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe. CoRR abs/2112.00859 (2021) - 2020
- [j6]Michael Färber, Adam Jatowt:
Citation recommendation: approaches and datasets. Int. J. Digit. Libr. 21(4): 375-405 (2020) - [j5]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]Michael Färber, Timo Klein, Joan Sigloch:
Neural Citation Recommendation: A Reproducibility Study. BIR@ECIR 2020: 66-74 - [c40]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]Tarek Saier, Michael Färber:
Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation. ECIR (1) 2020: 220-233 - [c38]Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa:
Answering Event-Related Questions over Long-Term News Article Archives. ECIR (1) 2020: 774-789 - [c37]Tarek Saier, Michael Färber:
A Large-Scale Analysis of Cross-lingual Citations in English Papers. ICADL 2020: 122-138 - [c36]Michael Färber, Benjamin Scheer, Frederic Bartscherer:
Who's Behind That Website? Classifying Websites by the Degree of Commercial Intent. ICWE 2020: 130-145 - [c35]Michael Färber, Ashwath Sampath:
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. JCDL 2020: 117-126 - [c34]Michael Färber:
Analyzing the GitHub Repositories of Research Papers. JCDL 2020: 491-492 - [c33]Chifumi Nishioka, Michael Färber:
Trends of Publications' Citations and Altmetrics Based on Open Access Types. JCDL 2020: 503-504 - [c32]Anna Nguyen, Tobias Weller, Michael Färber, York Sure-Vetter:
Making Neural Networks FAIR. KGSWC 2020: 29-44 - [c31]Sora Lim, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa:
Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing. LREC 2020: 1478-1484 - [c30]Kristian Noullet, Rico Mix, Michael Färber:
KORE 50DYWC: An Evaluation Data Set for Entity Linking Based on DBpedia, YAGO, Wikidata, and Crunchbase. LREC 2020: 2389-2395 - [c29]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 - [d14]Michael Färber:
BreXLiMe: A Semantically Enriched Dataset With News Articles, Micro-Posts, and TV Shows Related to the Brexit. Zenodo, 2020 - [d13]Michael Färber:
The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data. Version 2019-12-26. Zenodo, 2020 [all versions] - [d12]Michael Färber:
The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data. Version 2020-05-29. Zenodo, 2020 [all versions] - [d11]Michael Färber, Victoria Burkard, Adam Jatowt, Sora Lim:
A Multidimensional Dataset for Analyzing and Detecting News Bias based on Crowdsourcing. Zenodo, 2020 - [d10]Tarek Saier, Michael Färber:
unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata. Version 4. Zenodo, 2020 [all versions] - [d9]Tarek Saier, Michael Färber:
Evaluation Data for "Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation". Zenodo, 2020 - [i6]Michael Färber, Ashwath Sampath:
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. CoRR abs/2002.06406 (2020) - [i5]Michael Färber, Adam Jatowt:
Citation Recommendation: Approaches and Datasets. CoRR abs/2002.06961 (2020) - [i4]Anna Nguyen, Adrian Oberföll, Michael Färber:
Right for the Right Reason: Making Image Classification Robust. CoRR abs/2007.11924 (2020)
2010 – 2019
- 2019
- [c28]Michael Färber, Agon Qurdina, Lule Ahmedi:
Identifying Twitter Bots Using a Convolutional Neural Network. CLEF (Working Notes) 2019 - [c27]Tarek Saier, Michael Färber:
Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks. BIR@ECIR 2019: 14-26 - [c26]Michael Färber, Adam Jatowt:
Finding Temporal Trends of Scientific Concepts. BIR@ECIR 2019: 132-139 - [c25]Michael Färber, Ashwath Sampath, Adam Jatowt:
PaperHunter: A System for Exploring Papers and Citation Contexts. ECIR (2) 2019: 246-250 - [c24]Michael Färber, Ashwath Sampath:
Determining How Citations Are Used in Citation Contexts. TPDL 2019: 380-383 - [c23]Michael Färber, Chifumi Nishioka, Adam Jatowt:
ScholarSight: Visualizing Temporal Trends of Scientific Concepts. JCDL 2019: 438-439 - [c22]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]Michael Färber:
The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data. ISWC (2) 2019: 113-129 - [c20]Chifumi Nishioka, Michael Färber:
Evaluating the Availability of Open Citation Data. BIRNDL@SIGIR 2019: 123-129 - [c19]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 - [d8]Michael Färber, Alexander Thiemann, Adam Jatowt:
All Computer Science Papers @ arXiv.org - A High-Quality Gold Standard for Citation-based Tasks. Zenodo, 2019 - [d7]Tarek Saier, Michael Färber:
Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks. Version 1. Zenodo, 2019 [all versions] - [d6]Tarek Saier, Michael Färber:
Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks. Version 2. Zenodo, 2019 [all versions] - [d5]Tarek Saier, Michael Färber:
unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata. Version 3. Zenodo, 2019 [all versions] - [i3]Michael Färber:
Linked Crunchbase: A Linked Data API and RDF Data Set About Innovative Companies. CoRR abs/1907.08671 (2019) - 2018
- [j4]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) - [j3]Michael Färber, Carsten Menne, Andreas Harth:
A Linked Data wrapper for CrunchBase. Semantic Web 9(4): 505-515 (2018) - [c18]Michael Färber, Alexander Thiemann, Adam Jatowt:
To Cite, or Not to Cite? Detecting Citation Contexts in Text. ECIR 2018: 598-603 - [c17]Michael Färber, Alexander Thiemann, Adam Jatowt:
CITEWERTs: A System Combining Cite-Worthiness with Citation Recommendation. ECIR 2018: 815-819 - [c16]Matteo Cossu, Michael Färber, Georg Lausen:
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies. EDBT 2018: 469-472 - [c15]I-Chen Hung, Michael Färber, Adam Jatowt:
Towards Recommending Interesting Content in News Archives. ICADL 2018: 142-146 - [c14]Michael Färber, Alexander Thiemann, Adam Jatowt:
A High-Quality Gold Standard for Citation-based Tasks. LREC 2018 - [d4]Michael Färber:
Crunchbase in RDF: An API and Data Set Covering the Tech and Startup World (Source Code). Zenodo, 2018 - [d3]Michael Färber:
The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data. Version 2018-11-09. Zenodo, 2018 [all versions] - [i2]Matteo Cossu, Michael Färber, Georg Lausen:
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies. CoRR abs/1802.05898 (2018) - [i1]Michael Färber, Achim Rettinger:
Which Knowledge Graph Is Best for Me? CoRR abs/1809.11099 (2018) - 2017
- [b1]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 - [j2]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]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]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
- [j1]Michael Färber:
Using a semantic wiki for technology forecast and technology monitoring. Program 50(2): 225-242 (2016) - [c11]Lei Zhang, Michael Färber, Achim Rettinger:
XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval. CIKM 2016: 2425-2428 - [c10]Michael Färber, Achim Rettinger, Boulos El Asmar:
On Emerging Entity Detection. EKAW 2016: 223-238 - [c9]Michael Färber, Achim Rettinger, Andreas Harth:
Towards Monitoring of Novel Statements in the News. ESWC 2016: 285-299 - [d2]Michael Färber, Carsten Menne, Andreas Harth:
Crunchbase in RDF: A Large Data Set About Jobs, Websites, Organizations, News, People, Products, and Acquisitions. Zenodo, 2016 - 2015
- [c8]Michael Färber, Achim Rettinger:
Toward Real Event Detection. DeRiVE@ESWC 2015: 24-34 - [c7]Michael Färber, Achim Rettinger:
A Statistical Comparison of Current Knowledge Bases. SEMANTiCS (Posters & Demos) 2015: 18-21 - 2014
- [c6]Michael Färber, Lei Zhang, Achim Rettinger:
Kuphi - an Investigation Tool for Searching for and via Semantic Relations. ESWC (Satellite Events) 2014: 349-354 - [c5]Lei Zhang, Michael Färber, Achim Rettinger:
xLiD-Lexica: Cross-lingual Linked Data Lexica. LREC 2014: 2101-2105 - [c4]Lei Zhang, Michael Färber, Thanh Tran, Achim Rettinger:
Exploiting Semantic Annotations for Entity-based Information Retrieval. ISWC (Posters & Demos) 2014: 429-432 - [d1]Lei Zhang, Michael Färber, Achim Rettinger:
xLiD-Lexica: Cross-lingual Linked Data Lexica. Zenodo, 2014 - 2013
- [c3]Lei Zhang, Achim Rettinger, Michael Färber, Marko Tadic:
A Comparative Evaluation of Cross-Lingual Text Annotation Techniques. CLEF 2013: 124-135 - [c2]Michael Färber, Achim Rettinger:
A semantic wiki for novelty search on documents. DIR 2013: 60-61 - [c1]Michael Färber:
Ontology-Supported Document Ranking for Novelty Search. ESWC 2013: 639-644
Coauthor Index
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