Results 221 to 230 of about 82,228 (264)

Syntactic analysis of SMOSS model combined with improved LSTM model: Taking English writing teaching as an example. [PDF]

PLoS One
Yan K.
europepmc   +1 more source

Fast max-margin clustering for unsupervised word sense disambiguation in biomedical texts. [PDF]

BMC Bioinformatics, 2009
Duan W, Song M, Yates A.
europepmc   +1 more source

Word sense disambiguation to improve precision for ambiguous queries

Open Computer Science, 2012
Chifu Adrian-Gabriel, Ionescu Radu-Tudor
doaj   +1 more source

Deciphering Abbreviations in Malaysian Clinical Notes Using Machine Learning. [PDF]

Methods Inf Med
Sulaiman IM, Bulgiba A, Kareem SA, Latip AA.   +3 more
europepmc   +1 more source

Named entity recognition for Chinese electronic medical records by integrating knowledge graph and ClinicalBERT. [PDF]

Front Artif Intell
Xu X, Li Z, Zhang H, Ma K.
europepmc   +1 more source

A comparative study of Arabic syntactic analyzers. [PDF]

Front Artif Intell
Saadiyeh O, Ramadan A, Hajjar M, Bernard G.   +3 more
europepmc   +1 more source

Disambiguating Clinical Abbreviations by One-to-All Classification: Algorithm Development and Validation Study.

JMIR Med Inform
Sung SF, Hu YH, Chen CY.
europepmc   +1 more source

Gold standard, multi-genre dataset for named entity recognition and linking. [PDF]

Sci Data
Olewniczak S, Szymański J.
europepmc   +1 more source