Results 181 to 190 of about 304,629 (283)
Named Entity Recognition in Turkish Using Association Measures
Senem Kumova Metın
openalex +1 more source
Effect of the Named Entity Recognition and Sliding Window on the HONcode Automated Detection of HONcode Criteria for Mass Health Online Content [PDF]
Célia Boyer+3 more
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Abstract This paper reports on findings from 15 semi‐structured interviews with LGBTQIA+ individuals within the United States who have experienced the loss of one or more LGBTQIA+ information spaces. The paper specifically focuses on how such losses occurred and the information transitions experienced by the participants in response to this loss ...
Travis L. Wagner, Vanessa L. Kitzie
wiley +1 more source
Attention-based interactive multi-level feature fusion for named entity recognition. [PDF]
Xu Y, Chen Y.
europepmc +1 more source
Dutch named entity recognition using ensemble classifiers [PDF]
Desmet, Bart, Hoste, Veronique
core +1 more source
Abstract Provenance is the story of how something has come to be. In this paper, we provide a systematic literature review to categorize the various notions of provenance in Information Sciences. The goal of this review is to paint a broader picture of the multiple uses of provenance at play and to enhance our understanding of the importance of ...
Rhiannon Bettivia+2 more
wiley +1 more source
Named entity recognition of pharmacokinetic parameters in the scientific literature. [PDF]
Gonzalez Hernandez F+12 more
europepmc +1 more source
Named entity recognition using conditional random fields with non-local relational constraints
Flavio Massimiliano Cecchini+1 more
openalex +2 more sources
Abstract Classification schemes are a key way of organizing bibliographic knowledge, yet the way that classification schemes communicate their information to classifiers receives little attention. This article takes a novel approach by exploring the visual aspects contained within classification schemes.
Deborah Lee
wiley +1 more source
A comprehensive dataset and neural network approach for named entity recognition in the Uzbek language. [PDF]
Mengliev D+4 more
europepmc +1 more source