Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Stockinger, Kurt"'
Autor:
Frehner, Robin, Stockinger, Kurt
Anomaly detection is an important problem with applications in various domains such as fraud detection, pattern recognition or medical diagnosis. Several algorithms have been introduced using classical computing approaches. However, using quantum com
Externí odkaz:
http://arxiv.org/abs/2410.04154
Autor:
Pardo, Fernando De Meer, Lehmann, Claude, Gehrig, Dennis, Nagy, Andrea, Nicoli, Stefano, Misheva, Branka Hadji, Braschler, Martin, Stockinger, Kurt
In this paper, we present an end-to-end multi-source Entity Matching problem, which we call entity group matching, where the goal is to assign to the same group, records originating from multiple data sources but representing the same real-world enti
Externí odkaz:
http://arxiv.org/abs/2406.15015
Autor:
Nooralahzadeh, Farhad, Zhang, Yi, Smith, Ellery, Maennel, Sabine, Matthey-Doret, Cyril, de Fondville, Raphaël, Stockinger, Kurt
The potential for improvements brought by Large Language Models (LLMs) in Text-to-SQL systems is mostly assessed on monolingual English datasets. However, LLMs' performance for other languages remains vastly unexplored. In this work, we release the S
Externí odkaz:
http://arxiv.org/abs/2406.03170
Text-to-SQL systems (also known as NL-to-SQL systems) have become an increasingly popular solution for bridging the gap between user capabilities and SQL-based data access. These systems translate user requests in natural language to valid SQL statem
Externí odkaz:
http://arxiv.org/abs/2402.08349
Publikováno v:
IEEE International Conference on Big Data 2023
With the recent spike in the number and availability of Large Language Models (LLMs), it has become increasingly important to provide large and realistic benchmarks for evaluating Knowledge Graph Question Answering (KGQA) systems. So far the majority
Externí odkaz:
http://arxiv.org/abs/2309.16248
Publikováno v:
PVLDB Volume 17, 2023-2024
The current boom of learned query optimizers (LQO) can be explained not only by the general continuous improvement of deep learning (DL) methods but also by the straightforward formulation of a query optimization problem (QOP) as a machine learning (
Externí odkaz:
http://arxiv.org/abs/2309.01551
With the proliferation of research means and computational methodologies, published biomedical literature is growing exponentially in numbers and volume. Cancer cell lines are frequently used models in biological and medical research that are current
Externí odkaz:
http://arxiv.org/abs/2307.00933
Autor:
Zhang, Yi, Deriu, Jan, Katsogiannis-Meimarakis, George, Kosten, Catherine, Koutrika, Georgia, Stockinger, Kurt
Publikováno v:
PVLDB Volume 17, 2023-2024
Natural Language to SQL systems (NL-to-SQL) have recently shown a significant increase in accuracy for natural language to SQL query translation. This improvement is due to the emergence of transformer-based language models, and the popularity of the
Externí odkaz:
http://arxiv.org/abs/2306.04743
Quantum computing promises to solve difficult optimization problems in chemistry, physics and mathematics more efficiently than classical computers, but requires fault-tolerant quantum computers with millions of qubits. To overcome errors introduced
Externí odkaz:
http://arxiv.org/abs/2107.10508
Autor:
Sima, Ana Claudia, de Farias, Tarcisio Mendes, Anisimova, Maria, Dessimoz, Christophe, Robinson-Rechavi, Marc, Zbinden, Erich, Stockinger, Kurt
Publikováno v:
33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021)
The problem of natural language processing over structured data has become a growing research field, both within the relational database and the Semantic Web community, with significant efforts involved in question answering over knowledge graphs (KG
Externí odkaz:
http://arxiv.org/abs/2104.13744