Results 231 to 240 of about 41,163,437 (285)

TextAidAR: Text-Driven Domain Knowledge for Fine-Grained Medical Activity Recognition. [PDF]

Comput Vis Image Underst
Zhang W, Gao C, Yuan S, Kim MS, Sarcevic A, Burd RS, Marsic I.   +6 more
europepmc   +1 more source

A Mechanism-Centered Text-Mining Landscape of Mitochondrial Bioenergetics and Signaling in Disease Research. [PDF]

Int J Mol Sci
Yonar H, Beşoluk FÇ, Parlak TM.
europepmc   +1 more source

Measuring complex constructs in large-scale text with computational social mixed methods. [PDF]

Behav Res Methods
Herderich A, Lasser J, Galesic M, Aroyehun S, Garcia D, Garland J.   +5 more
europepmc   +1 more source

Correction: Whole-genome characterization of seven multidrug-resistant <i>Neisseria gonorrhoeae</i> isolates from a single tertiary center in Beijing. [PDF]

Front Microbiol
Qin JH, Lyu QM, Zhao XY, Liu L, Xiao N.
europepmc   +1 more source

TASSY—A Text Annotation Survey System [PDF]

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2021
We present a free and open-source tool for creat-ing web-based surveys that include text annotation tasks. Exist-ing tools offer either text annotation or survey functionality but not both. Combining the two input types is particularly relevant for investigating a reader’s perception of a text which also de-pends on the reader’s background, such as age,
Timo Spinde, Norman Meuschke, Bela Gipp
exaly   +5 more sources

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Feature annotation for text categorization

Proceedings of the CUBE International Information Technology Conference, 2012
In text categorization, feature extraction is one of the major strategies that aim at making text classifiers more efficient and accurate. Selecting quickly a suitable strategy for feature extraction out of many strategies proposed by previous studies is difficult. In this paper, we propose an efficient entity extraction approach for feature extraction
Yashodhara V. Haribhakta, Santosh Kalamkar, Parag A. Kulkarni   +2 more
openaire   +1 more source

Automatic Annotation of Text with Pictures

IT Professional, 2018
The vast array of information available on the Internet makes it challenging to quickly determine the importance and relevance of content. Text picturing is a cognitive aid that can help with text understanding, as it helps users decide if the text deserves a closer look by showing relevant pictures along with the text.
J. Kent Poots, Ebrahim Bagheri
openaire   +2 more sources