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Anna Breit
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2020 – today
- 2024
- [c13]Artem Revenko, Anna Breit, Salma Mahmoud, Mark Szabo, Tomás Knap:
Investigate the Impact of Contextual Information on LLMs for Taxonomy Expansion. SEMANTICS 2024: 37-51 - 2023
- [j2]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annette ten Teije, Frank van Harmelen:
Combining Machine Learning and Semantic Web: A Systematic Mapping Study. ACM Comput. Surv. 55(14s): 313:1-313:41 (2023) - [c12]Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, Sören Auer:
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. ESWC 2023: 372-389 - [c11]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Sotirios Karampatakis, Tomasz Miksa, Gregor Käfer:
Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction. ESWC 2023: 609-624 - [c10]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Frank van Harmelen, Annette ten Teije:
Combining Machine Learning and Semantic Web: A Systematic Mapping Study. NeSy 2023: 424 - [p1]Laura Waltersdorfer, Anna Breit, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annette ten Teije, Frank van Harmelen:
Semantic Web Machine Learning Systems: An Analysis of System Patterns. Compendium of Neurosymbolic Artificial Intelligence 2023: 77-99 - [i3]Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, Sören Auer:
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. CoRR abs/2303.15113 (2023) - 2022
- [c9]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Tomasz Miksa, Marta Sabou:
A Lifecycle Framework for Semantic Web Machine Learning Systems. DEXA Workshops 2022: 359-368 - [c8]Fajar J. Ekaputra, Laura Waltersdorfer, Anna Breit, Marta Sabou:
Towards a Standardized Description of SemanticWeb Machine Learning Systems. SEMANTiCS (Posters & Demos) 2022 - [c7]Víctor Mireles, Artem Revenko, Nikit Srivastava, Daniel Vollmers, Anna Breit, Diego Moussallem:
Proposal for PORQUE, a Polylingual Hybrid Question Answering System. SEMANTiCS (Posters & Demos) 2022 - [c6]Artem Revenko, Víctor Mireles, Anna Breit, Peter Bourgonje, Julián Moreno Schneider, Maria Khvalchik, Georg Rehm:
Learning Ontology Classes from Text by Clustering Lexical Substitutes Derived from Language Models. SEMANTiCS 2022: 155-169 - [c5]Anna Breit, Artem Revenko, Narayani Blaschke:
WiC-TSV-de: German Word-in-Context Target-Sense-Verification Dataset and Cross-Lingual Transfer Analysis. LREC 2022: 2617-2625 - 2021
- [c4]Laura Waltersdorfer, Anna Breit, Fajar J. Ekaputra, Marta Sabou:
Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study. DEXA Workshops 2021: 81-90 - [c3]Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. EACL 2021: 1635-1645 - 2020
- [j1]Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald:
OpenBioLink: a benchmarking framework for large-scale biomedical link prediction. Bioinform. 36(13): 4097-4098 (2020) - [c2]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou:
An Architecture for Extracting Key Elements from Legal Permits. IEEE BigData 2020: 2105-2110 - [c1]Peter Bourgonje, Anna Breit, Maria Khvalchik, Víctor Mireles, Julián Moreno Schneider, Artem Revenko, Georg Rehm:
Automatic Induction of Named Entity Classes from Legal Text Corpora. ASLD@ISWC 2020: 1-11 - [i2]Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. CoRR abs/2004.15016 (2020)
2010 – 2019
- 2019
- [i1]Anna Breit, Asan Agibetov, Matthias Samwald:
OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction. CoRR abs/1912.04616 (2019)
Coauthor Index
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