Results 161 to 170 of about 31,258 (204)

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

Metadata and Linked Data in Word Sense Disambiguation

, 2015
Matthew Corsmeier
openalex   +1 more source

Tracking neural correlates of contextualized meanings with representational similarity analysis. [PDF]

J Neurosci
Messi AP, Pylkkanen L.
europepmc   +1 more source

Dutch word sense disambiguation

, 2001
Hendrickx, I.H.E., van den Bosch, A.
openaire   +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