122 related articles for article (PubMed ID: 36093038)
1. Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks.
Bajaj G; Nguyen V; Wijesiriwardene T; Yip HY; Javangula V; Parthasarathy S; Sheth A; Bodenreider O
Proc Conf Assoc Comput Linguist Meet; 2022 May; 2022():82-87. PubMed ID: 36093038
[TBL] [Abstract][Full Text] [Related]
2. Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.
Mao Y; Fung KW
J Am Med Inform Assoc; 2020 Oct; 27(10):1538-1546. PubMed ID: 33029614
[TBL] [Abstract][Full Text] [Related]
3. Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus.
Nguyen V; Yip HY; Bajaj G; Wijesiriwardene T; Javangula V; Parthasarathy S; Sheth A; Bodenreider O
Proc Int World Wide Web Conf; 2022 Apr; 2022():1037-1046. PubMed ID: 36108322
[TBL] [Abstract][Full Text] [Related]
4. Siamese KG-LSTM: A deep learning model for enriching UMLS Metathesaurus synonymy.
Tran TTT; Nghiem SV; Le VT; Quan TT; Nguyen V; Yip HY; Bodenreider O
Int Conf Knowl Syst Eng; 2020 Nov; 2020():281-286. PubMed ID: 36277606
[TBL] [Abstract][Full Text] [Related]
5. Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus.
Nguyen V; Yip HY; Bodenreider O
Proc Int World Wide Web Conf; 2021 Apr; 2021():2672-2683. PubMed ID: 34514472
[TBL] [Abstract][Full Text] [Related]
6. The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.
Weinzierl MA; Maldonado R; Harabagiu SM
J Am Med Inform Assoc; 2020 Oct; 27(10):1556-1567. PubMed ID: 33029619
[TBL] [Abstract][Full Text] [Related]
7. Adding an Attention Layer Improves the Performance of a Neural Network Architecture for Synonymy Prediction in the UMLS Metathesaurus.
Nguyen V; Bodenreider O
Stud Health Technol Inform; 2022 Jun; 290():116-119. PubMed ID: 35672982
[TBL] [Abstract][Full Text] [Related]
8. Two complementary AI approaches for predicting UMLS semantic group assignment: heuristic reasoning and deep learning.
Mao Y; Miller RA; Bodenreider O; Nguyen V; Fung KW
J Am Med Inform Assoc; 2023 Nov; 30(12):1887-1894. PubMed ID: 37528056
[TBL] [Abstract][Full Text] [Related]
9. Improved biomedical word embeddings in the transformer era.
Noh J; Kavuluru R
J Biomed Inform; 2021 Aug; 120():103867. PubMed ID: 34284119
[TBL] [Abstract][Full Text] [Related]
10. BioWordVec, improving biomedical word embeddings with subword information and MeSH.
Zhang Y; Chen Q; Yang Z; Lin H; Lu Z
Sci Data; 2019 May; 6(1):52. PubMed ID: 31076572
[TBL] [Abstract][Full Text] [Related]
11. Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation.
Jimeno Yepes A
J Biomed Inform; 2017 Sep; 73():137-147. PubMed ID: 28797709
[TBL] [Abstract][Full Text] [Related]
12. A comparison of word embeddings for the biomedical natural language processing.
Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H
J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670
[TBL] [Abstract][Full Text] [Related]
13. Adversarial Learning of Knowledge Embeddings for the Unified Medical Language System.
Maldonado R; Yetisgen M; Harabagiu SM
AMIA Jt Summits Transl Sci Proc; 2019; 2019():543-552. PubMed ID: 31259009
[TBL] [Abstract][Full Text] [Related]
14. Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish.
Chiu C; Villena F; Martin K; Núñez F; Besa C; Dunstan J
Front Artif Intell; 2022; 5():970517. PubMed ID: 36213168
[TBL] [Abstract][Full Text] [Related]
15. Improving medical term embeddings using UMLS Metathesaurus.
Chanda AK; Bai T; Yang Z; Vucetic S
BMC Med Inform Decis Mak; 2022 Apr; 22(1):114. PubMed ID: 35488252
[TBL] [Abstract][Full Text] [Related]
16. A tool for sharing annotated research data: the "Category 0" UMLS (Unified Medical Language System) vocabularies.
Berman JJ
BMC Med Inform Decis Mak; 2003 Jun; 3():6. PubMed ID: 12809560
[TBL] [Abstract][Full Text] [Related]
17. The quest for better clinical word vectors: Ontology based and lexical vector augmentation versus clinical contextual embeddings.
Nath N; Lee SH; McDonnell MD; Lee I
Comput Biol Med; 2021 Jul; 134():104433. PubMed ID: 34004575
[TBL] [Abstract][Full Text] [Related]
18. Explaining Contextualized Word Embeddings in Biomedical Research - A Qualitative Investigation.
Miletic M; Sariyar M
Stud Health Technol Inform; 2022 Jun; 295():289-292. PubMed ID: 35773865
[TBL] [Abstract][Full Text] [Related]
19. Comparing general and specialized word embeddings for biomedical named entity recognition.
Ramos-Vargas RE; Román-Godínez I; Torres-Ramos S
PeerJ Comput Sci; 2021; 7():e384. PubMed ID: 33817030
[TBL] [Abstract][Full Text] [Related]
20. Medical terminology-based computing system: a lightweight post-processing solution for out-of-vocabulary multi-word terms.
Saeed N; Naveed H
Front Mol Biosci; 2022; 9():928530. PubMed ID: 36032678
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
