A5030693292- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Scientific Computing and Data Management
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Research Data Management Practices
- Artificial Intelligence in Law
- Bioinformatics and Genomic Networks
- Software Reliability and Analysis Research
- Service-Oriented Architecture and Web Services
- Business Process Modeling and Analysis
- Advanced Data Processing Techniques
- Machine Learning in Materials Science
- Speech and dialogue systems
- European and International Law Studies
- Text and Document Classification Technologies
- Intracranial Aneurysms: Treatment and Complications
- Ureteral procedures and complications
- Cardiovascular Health and Disease Prevention
- Advanced MRI Techniques and Applications
- Law, AI, and Intellectual Property
- Systemic Sclerosis and Related Diseases
- Medical and Health Sciences Research
- Breast Cancer Treatment Studies
Semantic Designs (United States)
2020-2023
Austrian Research Institute for Artificial Intelligence
2019-2020
Medical University of Vienna
2019-2020
SUMMARY: Recently, novel machine-learning algorithms have shown potential for predicting undiscovered links in biomedical knowledge networks. However, dedicated benchmarks measuring algorithmic progress not yet emerged. With OpenBioLink, we introduce a large-scale, high-quality and highly challenging link prediction benchmark to transparently reproducibly evaluate such algorithms. Furthermore, present preliminary baseline evaluation results. AVAILABILITY AND IMPLEMENTATION: Source code, data...
Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados. Proceedings of the 16th Conference European Chapter Association for Computational Linguistics: Main Volume. 2021.
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged focuses on combining machine (ML) components techniques developed by Semantic Web (SW) community - Machine Learning (SWeML for short). Due its rapid growth impact several communities last two decades, there is need better understand space of these SWeML Systems, their characteristics, trends. Yet, surveys adopt principled...
In many countries worldwide, including Austria, the environmental impact of production facilities is strongly regulated leading to authorities issuing a large number legal permits on this topic. The access interested parties these typically supported by search systems that present structured view along their key elements, such as authority or basis. paper, we real-life use case from Austria's Environment Agency, where extraction elements represents non-trivial task for laypersons with...
We present WiC-TSV, a new multi-domain evaluation benchmark for Word Sense Disambiguation. More specifically, we introduce framework Target Verification of Words in Context which grounds its uniqueness the formulation as binary classification task thus being independent external sense inventories, and coverage various domains. This makes dataset highly flexible diverse set models systems across WiC-TSV provides three different settings, depending on input signals provided to model. baseline...