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pro vyhledávání: '"Ziletti, A."'
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
Autor:
Steinigen, Daniel, Teucher, Roman, Ruland, Timm Heine, Rudat, Max, Flores-Herr, Nicolas, Fischer, Peter, Milosevic, Nikola, Schymura, Christopher, Ziletti, Angelo
Recent advancements in Large Language Models (LLMs) have showcased their proficiency in answering natural language queries. However, their effectiveness is hindered by limited domain-specific knowledge, raising concerns about the reliability of their
Externí odkaz:
http://arxiv.org/abs/2408.03010
Autor:
Ziletti, Angelo, D'Ambrosi, Leonardo
Publikováno v:
NAACL 2024 Clinical NLP Workshop
Electronic health records (EHR) and claims data are rich sources of real-world data that reflect patient health status and healthcare utilization. Querying these databases to answer epidemiological questions is challenging due to the intricacy of med
Externí odkaz:
http://arxiv.org/abs/2403.09226
Publikováno v:
Il Foro Italiano, 1994 Jan 01. 117, 3049/3050-3055/3056.
Externí odkaz:
https://www.jstor.org/stable/23189858
Autor:
Cécile Tréhin, Olivier Duriez, François Sarrazin, Benoit Betton, Jocelyn Fonderflick, Franziska Loercher, Etienne Marlé, Jean‐Francois Seguin, Julien Traversier, Noémie Ziletti, Jean‐Baptiste Mihoub
Publikováno v:
Ecosphere, Vol 15, Iss 8, Pp n/a-n/a (2024)
Abstract Restoring ecological dynamics is a key objective of conservation translocations. Exemplarily, reconnecting the reintroduced alpine populations with native Pyrenean populations through re‐establishing locally extinct populations in between,
Externí odkaz:
https://doaj.org/article/c74b814655c44ca58bcb106246611131
Autor:
Ziletti, Angelo, Akbik, Alan, Berns, Christoph, Herold, Thomas, Legler, Marion, Viell, Martina
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track
Medical coding (MC) is an essential pre-requisite for reliable data retrieval and reporting. Given a free-text reported term (RT) such as "pain of right thigh to the knee", the task is to identify the matching lowest-level term (LLT) - in this case "
Externí odkaz:
http://arxiv.org/abs/2206.02662
Publikováno v:
Leitherer, A., Ziletti, A. & Ghiringhelli, L.M. Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning. Nat. Commun. 12, 6234 (2021)
Due to their ability to recognize complex patterns, neural networks can drive a paradigm shift in the analysis of materials science data. Here, we introduce ARISE, a crystal-structure identification method based on Bayesian deep learning. As a major
Externí odkaz:
http://arxiv.org/abs/2103.09777
Data-to-text (D2T) generation in the biomedical domain is a promising - yet mostly unexplored - field of research. Here, we apply neural models for D2T generation to a real-world dataset consisting of package leaflets of European medicines. We show t
Externí odkaz:
http://arxiv.org/abs/2109.01518
Autor:
Ziletti, Angelo, Berns, Christoph, Treichel, Oliver, Weber, Thomas, Liang, Jennifer, Kammerath, Stephanie, Schwaerzler, Marion, Virayah, Jagatheswari, Ruau, David, Ma, Xin, Mattern, Andreas
Publikováno v:
Front. Comput. Sci 88 (3) (2021)
Millions of unsolicited medical inquiries are received by pharmaceutical companies every year. It has been hypothesized that these inquiries represent a treasure trove of information, potentially giving insight into matters regarding medicinal produc
Externí odkaz:
http://arxiv.org/abs/2012.04545
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