MR
Ananda-Rajah, C Bergmeir, F
Purpose Prospective epidemiologic
surveillance of invasive mold disease (IMD) in hematology patients is
hampered by the absence of a reliable laboratory prompt. This
study develops an expert system for electronic surveillance of IMD that
combines probabilities
JS
Redman, Y Natarajan, JK Hou, J Wang, M Hanif… - Digestive Diseases and …, 2017
Methods We utilized this technique to
develop algorithms capable of “reading” full-text radiology reports to
accurately identify the presence of fatty liver disease.
Abdominal ultrasound, computerized tomography, and magnetic resonance
imaging reports were
Gamification for Arabic Natural Language Processing:
Ideas into Practice
I
Zeroual, A El Kah, A Lakhouaja - Transactions on Machine Learning and
Artificial …, 2017
Abstract Gamification is a novel IT
development that focuses on how to address the use of games and apply game
design techniques in a non-gaming context. Recently, it has significantly
attracted several researchers' attention concerned with different fields such
as
Towards Cognitively Constrained Models of Language
Processing: A Review
M
Vogelzang, AC De Rechteren van Hemert, D Reitter… - Frontiers in Communication,
2017
... other cognitive processes.
Architecture-based cognitive models of languageprocessing may
be able to make explicit which language-specific resources
areneeded to acquire and process natural language. The
review sheds ...
[HTML] Adaptive Spelling Error Correction Models for Learner English
R
Nagata, H Takamura, G Neubig - Procedia Computer Science, 2017
Spelling errors are a characteristic of
learner English and degrade the performances of naturallanguage processing systems
targeting English learners. This pap. ... In: Proc. of 2009
Conferenceon Empirical Methods in Natural Language Processing.
2009, p. 1241-1249. ...
[HTML] Big data analysis to Features Opinions Extraction of customer
A
Mars, MS Gouider - Procedia Computer Science, 2017
Opinion mining refers to extract subjective
information from text data using tools such as naturallanguage processing (NLP),
text analysis and computational li. ... O. Etzioni, “Extracting
productfeatures and opinions from reviews,” in Natural language processing and
text mining. ...
Segment convolutional neural networks (Seg-CNNs) for classifying
relations in clinical notes
Y
Luo, Y Cheng, Ö Uzuner, P Szolovits, J Starren - Journal of the American
Medical …, 2017
Abstract. We propose Segment Convolutional
Neural Networks (Seg-CNNs) for classifyingrelations from clinical notes.
Seg-CNNs use only word-embedding features.
B
Aysolmaz, H Leopold, HA Reijers, O Demirörs - Information and Software …, 2017
... Cover image Cover image. A
semi-automated approach for generating naturallanguage requirements
documents based on business process models. ... However,the
final requirements are typically still specified in natural language. ...
[PDF] Language-based Construction of Explorable News Graphs for
Journalists
R
Bois, G Gravier,
Faced with ever-growing news archives,
media professionals are in need of advanced tools to explore the
information surrounding specific events. This problem is most
commonly answered by browsing news datasets, going from article to article
and viewing unaltered
Distributed Computing in Cognitive Analytics
V
Kamat - Distributed Computing in Big Data Analytics, 2017
... The cognitive analysis, includes some
of the most compute intensive processing such as NLP(natural language processing),
ML (machine learning), probabilistic reasoning, and traditionalstatistical
computation among other compute intensive data processing. ...