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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

Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review.

J Med Internet Res
Kugic A, Martin I, Modersohn L, Pallaoro P, Kreuzthaler M, Schulz S, Boeker M.   +6 more
europepmc   +1 more source

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Word sense disambiguation

ACM Computing Surveys, 2009
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence.
Roberto Navigli
exaly   +3 more sources

Word sense disambiguation with pictures

Artificial Intelligence, 2005
AbstractWe introduce using images for word sense disambiguation, either alone, or in conjunction with traditional text based methods. The approach is based on a recently developed method for automatically annotating images by using a statistical model for the joint probability for image regions and words. The model itself is learned from a data base of
Kobus Barnard
exaly   +2 more sources

Trends in word sense disambiguation

Artificial Intelligence Review, 2012
The problem and process of identifying the meaning of a word as per its usage context is called word sense disambiguation (WSD). Although research in this field has been ongoing for the past forty years, a distinct change of techniques adopted can be observed over time.
Vidhu Bhala R. Vidhu Bhala, S. Abirami
exaly   +2 more sources