197 related articles for article (PubMed ID: 30066651)
1. Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases.
Chen Z; He Z; Liu X; Bian J
BMC Med Inform Decis Mak; 2018 Jul; 18(Suppl 2):65. PubMed ID: 30066651
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study.
Lin C; Lou YS; Tsai DJ; Lee CC; Hsu CJ; Wu DC; Wang MC; Fang WH
JMIR Med Inform; 2019 Jul; 7(3):e14499. PubMed ID: 31339103
[TBL] [Abstract][Full Text] [Related]
5. Domain specific word embeddings for natural language processing in radiology.
Chen TL; Emerling M; Chaudhari GR; Chillakuru YR; Seo Y; Vu TH; Sohn JH
J Biomed Inform; 2021 Jan; 113():103665. PubMed ID: 33333323
[TBL] [Abstract][Full Text] [Related]
6. Jointly learning word embeddings using a corpus and a knowledge base.
Alsuhaibani M; Bollegala D; Maehara T; Kawarabayashi KI
PLoS One; 2018; 13(3):e0193094. PubMed ID: 29529052
[TBL] [Abstract][Full Text] [Related]
7. The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
Neuraz A; Rance B; Garcelon N; Llanos LC; Burgun A; Rosset S
Stud Health Technol Inform; 2020 Jun; 270():432-436. PubMed ID: 32570421
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research.
Major V; Surkis A; Aphinyanaphongs Y
AMIA Annu Symp Proc; 2018; 2018():1405-1414. PubMed ID: 30815185
[TBL] [Abstract][Full Text] [Related]
10. Corpus domain effects on distributional semantic modeling of medical terms.
Pakhomov SV; Finley G; McEwan R; Wang Y; Melton GB
Bioinformatics; 2016 Dec; 32(23):3635-3644. PubMed ID: 27531100
[TBL] [Abstract][Full Text] [Related]
11. Concept embedding to measure semantic relatedness for biomedical information ontologies.
Park J; Kim K; Hwang W; Lee D
J Biomed Inform; 2019 Jun; 94():103182. PubMed ID: 31009761
[TBL] [Abstract][Full Text] [Related]
12. Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts.
Jiang S; Wu W; Tomita N; Ganoe C; Hassanpour S
J Biomed Inform; 2020 Nov; 111():103581. PubMed ID: 33010425
[TBL] [Abstract][Full Text] [Related]
13. Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks.
Alachram H; Chereda H; Beißbarth T; Wingender E; Stegmaier P
PLoS One; 2021; 16(10):e0258623. PubMed ID: 34653224
[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. 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]
16. Unsupervised low-dimensional vector representations for words, phrases and text that are transparent, scalable, and produce similarity metrics that are not redundant with neural embeddings.
Smalheiser NR; Cohen AM; Bonifield G
J Biomed Inform; 2019 Feb; 90():103096. PubMed ID: 30654030
[TBL] [Abstract][Full Text] [Related]
17. A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS.
Chang E
J Biomed Inform; 2022 Jul; 131():104118. PubMed ID: 35690349
[TBL] [Abstract][Full Text] [Related]
18. Visualization of medical concepts represented using word embeddings: a scoping review.
Oubenali N; Messaoud S; Filiot A; Lamer A; Andrey P
BMC Med Inform Decis Mak; 2022 Mar; 22(1):83. PubMed ID: 35351120
[TBL] [Abstract][Full Text] [Related]
19. Summarization of biomedical articles using domain-specific word embeddings and graph ranking.
Moradi M; Dashti M; Samwald M
J Biomed Inform; 2020 Jul; 107():103452. PubMed ID: 32439479
[TBL] [Abstract][Full Text] [Related]
20. Knowledge based word-concept model estimation and refinement for biomedical text mining.
Jimeno Yepes A; Berlanga R
J Biomed Inform; 2015 Feb; 53():300-7. PubMed ID: 25510606
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
