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How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach

SA Cammel, et al. (2020)
BMC Medical Informatics and Decision Making

  • There is no summary for this article.
Engineering
Information and Computing
Medical and Health Science
 Abstract

Spark NLP: Natural language understanding at scale

V Kocaman, D Talby (2021)
Software Impacts

  • There is no summary for this article.
Language and Culture
Mathematics
 Abstract

Biodiversity in NLP: modelling lexical meaning with the Fruit Fly Algorithm

S Preissner, A Herbelot (2020)
Italian Journal of Computational Linguistics

  • There is no summary for this article.
 Abstract

Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation

BC Knoll, et al. (2020)
Stud Health Technol Inform

  • There is no summary for this article.
Information and Computing
Medical and Health Science
 Abstract

Trumer: Rumor Detection on Twitter Using Machine Learning and NLP Techniques

G Dharod, et al. (2021)
Innovative Data Communication Technologies and Application

  • There is no summary for this article.
 Abstract

Few-Shot Learning for Chinese NLP Tasks

L Xu, et al. (2021)
Natural Language Processing and Chinese Computing

  • There is no summary for this article.
 Abstract
 Abstract
 Abstract

The Effectiveness of Neuro-Linguistic Programming (NLP) on Shooters’ Mental Skills and Shooting Performance

S Ahmadzadeh, R Badami, A Aghaei (2019)
Iranian Journal of Psychiatry and Behavioral Sciences

  • There is no summary for this article.
Medical and Health Science
Psychology
 Abstract
 Abstract

RNAi-mediated disruption of neuropeptide genes, nlp-3 and nlp-12 , cause multiple behavioral defects in Meloidogyne incognita

M Dash, et al. (2017)
Biochemical and Biophysical Research Communications

Summary

  • To characterize the novel peptidergic neurotransmitters, in silico mining of M. incognita genomic and transciptomic datasets revealed the presence of 16 neuropeptide-like protein (nlp) genes with structural hallmarks of neuropeptide preproproteins; among which 13 nlps were PCR-amplified and sequenced.
  • Mi-nlp-3 and Mi-nlp-12 were greatly expressed (in qRT-PCR assay) in the pre-parasitic juveniles and adult females, suggesting the association of these genes in host recognition, development and reproduction of M. incognita.
  • The deleterious phenotypes obtained due to NLP knockdown suggests that transgenic plants engineered to express RNA constructs targeting nlp genes may emerge as an environmentally viable option to manage nematode problems in crop plants.Copyright © 2017 Elsevier Inc.
Biology
Chemistry
Medical and Health Science
Physics
 Abstract

Review On: Detection of Spam Comments Using NLP Algorithm

MR D.warkar, M Shaikh (2018)
International Journal Of Engineering And Computer Science

  • There is no summary for this article.
 Abstract

The Use of NLP Techniques in Static Code Analysis to Detect Weaknesses and Vulnerabilities

SA Mokhov, J Paquet, M Debbabi (2014)
Advances in Artificial Intelligence

Summary

  • We employ classical NLP techniques (n-grams and various smoothing algorithms) combined with machine learning for non-NLP applications of detection, classification, and reporting of weaknesses related to vulnerabilities or bad coding practices found in artificial constrained languages, such as programming languages and their compiled counterparts.
  • We compare and contrast the NLP approach to the signal processing approach in our results summary along with concrete promising results for specific test cases of open-source software written in C, C++, and JAVA.
  • We use the open-source MARF's NLP framework and its MARFCAT application for the task, where the latter originally was designed for the Static Analysis Tool Exposition (SATE) workshop.
 Abstract