Results 61 to 70 of about 18,890 (150)

A Dependency Annotation Scheme to Extract Syntactic Features in Indonesian Sentences

International Journal of Technology, 2017
In languages with fixed word orders, syntactic information is useful when solving natural language processing (NLP) problems. In languages like Indonesian, however, which has a relatively free word order, the usefulness of syntactic information has ...
Budi Irmawati, Hiroyuki Shindo, Yuji Matsumoto   +2 more
doaj   +1 more source

Entity recognition in the biomedical domain using a hybrid approach

Journal of Biomedical Semantics, 2017
Background This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles. Method The approach uses a two-stage pipeline, combining a dictionary-based entity recognizer with a machine ...
Marco Basaldella, Lenz Furrer, Carlo Tasso, Fabio Rinaldi   +3 more
doaj   +1 more source

Validity of a Computational Linguistics-Derived Automated Health Literacy Measure Across Race/Ethnicity: Findings from The ECLIPPSE Project. [PDF]

J Health Care Poor Underserved, 2021
Schillinger D, Balyan R, Crossley S, McNamara D, Karter A.   +4 more
europepmc   +1 more source

Breaking down the ear-brain dichotomy: the effects of age-related hearing loss on the cortical language system

NeuroImage
Older individuals frequently experience hearing difficulties, often due to sensorineural hearing loss (HL) primarily originating in the inner ear. However, it is not uncommon for older adults with HL to also exhibit impairments in speech intelligibility ...
Stefan Elmer, Vanessa Frei, Julian Ockelmann, Nathalie Giroud   +3 more
doaj   +1 more source

Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study. [PDF]

Health Serv Res, 2021
Schillinger D, Balyan R, Crossley SA, McNamara DS, Liu JY, Karter AJ.   +5 more
europepmc   +1 more source

Large language models to process, analyze, and synthesize biomedical texts: a scoping review

Discover Artificial Intelligence
The advent of large language models (LLMs) such as BERT and, more recently, GPT, is transforming our approach of analyzing and understanding biomedical texts.
Simona Emilova Doneva, Sijing Qin, Beate Sick, Tilia Ellendorff, Jean-Philippe Goldman, Gerold Schneider, Benjamin Victor Ineichen   +6 more
doaj   +1 more source

Examining the language demands of informed consent documents in patient recruitment to cancer trials using tools from corpus and computational linguistics. [PDF]

Health (London), 2022
Isaacs T, Murdoch J, Demjén Z, Stevenson F.   +3 more
europepmc   +1 more source

Implicit voice learning through discrimination outperforms explicit listen-and-memorize tasks

Scientific Reports
Voice learning primarily occurs implicitly in everyday situations—as an incidental by-product of other activities such as participating in conversation or listening to voices in the media.
Andrea Fröhlich, Meike Ramon, Peter French, Volker Dellwo   +3 more
doaj   +1 more source

Who is the root in a syntactic dependency structure?

Applied Network Science
The syntactic structure of a sentence can be described as a tree that indicates the syntactic relationships between words. In spite of significant progress in unsupervised methods that retrieve the syntactic structure of sentences, guessing the right ...
Ramon Ferrer-i-Cancho, Marta Arias
doaj   +1 more source

ATLAS: A Knowledge Graph to enhance the findability of International Scholarly Research on the Italian Digital Cultural Heritage

Umanistica Digitale
In recent years, the abundance of scholarly information has requested constant development and revision of standardized models and shared guidelines.
Sebastiano Giacomini, Chiara Martignano, Giorgia Rubin, Alessia Bardi, Marina Buzzoni, Marilena Daquino, Riccardo Del Gratta, Angelo Mario Del Grosso, Franz Fischer, Roberto Rosselli Del Turco, Francesca Tomasi   +10 more
doaj   +1 more source