Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thilini Wijesiriwardene"'
Publikováno v:
The Semantic Web ISBN: 9783031334542
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85e0a510f98c9935a5773445bb521b92
https://doi.org/10.1007/978-3-031-33455-9_21
https://doi.org/10.1007/978-3-031-33455-9_21
Autor:
Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit Sheth, Olivier Bodenreider
Publikováno v:
Proc Int World Wide Web Conf
The Unified Medical Language System (UMLS) Metathesaurus construction process mainly relies on lexical algorithms and manual expert curation for integrating over 200 biomedical vocabularies. A lexical-based learning model (LexLM) was developed to pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d8046b8f29ea3e1315bcb21eb154361
https://europepmc.org/articles/PMC9455675/
https://europepmc.org/articles/PMC9455675/
Autor:
Goonmeet, Bajaj, Vinh, Nguyen, Thilini, Wijesiriwardene, Hong Yung, Yip, Vishesh, Javangula, Srinivasan, Parthasarathy, Amit, Sheth, Olivier, Bodenreider
Publikováno v:
Proc Conf Assoc Comput Linguist Meet
Recent work uses a Siamese Network, initialized with BioWordVec embeddings (distributed word embeddings), for predicting synonymy among biomedical terms to automate a part of the UMLS (Unified Medical Language System) Metathesaurus construction proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3479c2a6f7249b97f442c9db3a356946
https://doi.org/10.18653/v1/2022.insights-1.11
https://doi.org/10.18653/v1/2022.insights-1.11
Autor:
Amit Sheth, Manas Gaur, Ugur Kursuncu, Hale Inan, I. Budak Arpinar, Thilini Wijesiriwardene, Krishnaprasad Thirunarayan, Valerie L. Shalin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030609740
SocInfo
SocInfo
The convenience of social media has also enabled its misuse, potentially resulting in toxic behavior. Nearly 66% of internet users have observed online harassment, and 41% claim personal experience, with 18% facing severe forms of online harassment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f8f3841155d2d095ff74175b72cc958
https://doi.org/10.1007/978-3-030-60975-7_31
https://doi.org/10.1007/978-3-030-60975-7_31