Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Anna Lisa Gentile"'
Publikováno v:
The Semantic Web ISBN: 9783031334542
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c60c92d6dfc0980a2426bd5af12f1b
https://doi.org/10.1007/978-3-031-33455-9_37
https://doi.org/10.1007/978-3-031-33455-9_37
Creating and curating knowledge resources has been a paramount activity in the biomedical domain. In recent years, automated methods for knowledge base construction have flourished and have enabled large scale construction and curation of such resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fba7e187d26c682e74b31a675d3ecf0
https://doi.org/10.1101/2022.04.14.488416
https://doi.org/10.1101/2022.04.14.488416
Autor:
Anna Lisa Gentile, Ismini Lourentzou, Alfredo Alba, Steve Welch, Muntasir Wahed, Daniel Gruhl, Petar Ristoski, Deluca Chad
Publikováno v:
CIKM
Recent advances in text representation have shown that training on large amounts of text is crucial for natural language understanding. However, models trained without predefined notions of topical interest typically require careful fine-tuning when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d18b205803d0c2468a333e150ad5b241
https://doi.org/10.1145/3459637.3481950
https://doi.org/10.1145/3459637.3481950
Autor:
Tania Tudorache, Anna Lisa Gentile
Publikováno v:
Semantic Web. 10:631-635
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d956a6f9999ffd0cceefebedb7495b1d
https://doi.org/10.3233/sw-190354
https://doi.org/10.3233/sw-190354
Autor:
Steve Welch, Petar Ristoski, Linda Kato, Nathaniel H. Park, Daniel P. Sanders, Daniel Gruhl, Dmitry Yu. Zubarev, Anna Lisa Gentile
Publikováno v:
CIKM
The use of AI in knowledge dense domains, e.g., chemistry, medicine, biology, etc. - is extremely promising, but often suffers from slow deployment and adaptation to different tasks. We propose a methodology to quickly capture the intent and expertis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9c87572105b290d4b4220c5cd9a57f8
https://doi.org/10.1145/3340531.3416020
https://doi.org/10.1145/3340531.3416020
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030624651
ISWC (2)
ISWC (2)
Data centers are a crucial component of modern IT ecosystems. Their size and complexity present challenges in terms of maintaining and understanding knowledge about them. In this work we propose a novel methodology to create a semantic representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9ffbf2048bff3ed1d7e0999e20b07d7
https://doi.org/10.1007/978-3-030-62466-8_37
https://doi.org/10.1007/978-3-030-62466-8_37
Autor:
Peter Haase, Andreas Harth, Axel-Cyrille Ngonga Ngomo, Anisa Rula, Sabrina Kirrane, Anna Lisa Gentile, Heiko Paulheim, Michael Cochez
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030494605
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0de35f96ff5c9bf04198f7a71cea65e7
https://research.wu.ac.at/de/publications/8bc18d66-2d61-44ac-9da9-83e39a7b195c
https://research.wu.ac.at/de/publications/8bc18d66-2d61-44ac-9da9-83e39a7b195c
Publikováno v:
K-CAP
In many Information Extraction tasks, dictionaries and lexica are powerful building blocks for sophisticated extractions. The success of the Semantic Web in the last 10 years has produced an unprecedented quantity of available structured data that ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26db0f0a0a3be501068d3a18aa8a3877
https://doi.org/10.1145/3360901.3364412
https://doi.org/10.1145/3360901.3364412
Autor:
Cristina Sarasua, Anna Lisa Gentile, Oana Inel, Ujwal Gadiraju, Gianluca Demartini, Lora Aroyo, Alessandro Checco
Publikováno v:
Companion Proceedings of The 2019 World Wide Web Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed2d5e4643bc4e4b3fb498ee8b39d5f8
https://doi.org/10.1145/3308560.3317301
https://doi.org/10.1145/3308560.3317301
Autor:
Anna Lisa Gentile
Publikováno v:
WWW (Companion Volume)
Information Extraction (IE) techniques enables us to distill Knowledge from the abundantly available unstructured content. Some of the basic IE methods include the automatic extraction of relevant entities from text (e.g. places, dates, people, ...),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccf1bf1e367841399e77732fffee517d
https://doi.org/10.1145/3308560.3316478
https://doi.org/10.1145/3308560.3316478