Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text
, 2013 Bridget T. McInnes, Ted Pedersen
openalex +2 more sources
An integrative approach for measuring semantic similarities using gene ontology [PDF]
, 2014 Jiajie Peng +4 more
openalex +1 more source
Confessions of a Poverty Researcher: My Journey Through the Foothills of Scholarship
Australian Journal of Social Issues, EarlyView.ABSTRACT This paper describes the key events, experiences and ideas that influenced the author's career as a poverty researcher. He describes how his early disillusion with economics was replaced by a spark of interest in social issues and how his migration from the UK to Australia in the mid‐1970s provided the impetus to begin what became a lifetime ...
Peter Saunders
wiley +1 more source
Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11
Annals of Neurology, EarlyView.Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles +7 more
wiley +1 more source
Inferior parietal lobule is sensitive to different semantic similarity relations for concrete and abstract words. [PDF]
Psychophysiology, 2021 Montefinese M +4 more
europepmc +1 more source
Between Order and Confusion: Clearing up Structural Misconceptions in Carbon Materials Nomenclature
Angewandte Chemie International Edition, EarlyView.Despite the versatile use of carbon materials, inconsistent terminology and inadequate characterization – especially regarding graphene structures based on sp2‐hybridized carbon atoms – often cause confusion. This perspective clarifies terms like graphite, graphitic carbon, non‐graphitic carbon, and amorphous carbon by aligning IUPAC definitions with X‐
Chantal Glatthaar +3 more
wiley +1 more source
Simcryocluster: a semantic similarity clustering method of cryo-EM images by adopting contrastive learning. [PDF]
BMC BioinformaticsTang H, Wang Y, Ouyang J, Wang J.
europepmc +1 more source
Exploring Semantic Textual Similarity
, 2012 [EN]Measuring semantic similarity and relatedness between textual items (words, sentences, paragraphs or even documents) is a very important research area in Natural Language Processing (NLP). In fact, it has many practical applications in other NLP tasks.
openaire +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity\n Estimation [PDF]
, 2014 Felix Hill, Roi Reichart, Anna Korhonen
openalex +1 more source