نتایج جستجو برای: negation detection

تعداد نتایج: 571176  

Journal: :Studies in health technology and informatics 2015
Saeed Mehrabi Anand Krishnan Alexandra M. Roch Heidi Schmidt Dingcheng Li Joe Kesterson Chris Beesley Paul R. Dexter C. Max Schmidt Mathew J. Palakal Hongfang Liu

In this study we have developed a rule-based natural language processing (NLP) system to identify patients with family history of pancreatic cancer. The algorithm was developed in a Unstructured Information Management Architecture (UIMA) framework and consisted of section segmentation, relation discovery, and negation detection. The system was evaluated on data from two institutions. The family...

Journal: :Acta Analytica 2012

Journal: :Notre Dame Journal of Formal Logic 1971

Journal: :Procesamiento del Lenguaje Natural 2010
Noa P. Cruz Díaz Manuel J. Maña López Jacinto Mata Vázquez

In this paper, we present a machine learning system that identify the negation and speculation signals in biomedical texts, in particular, in the BioScope corpus. The objective of this research is to compare the efficiency of this approach focused on machine learning with which it is based on regular expressions. Among the systems that follow the latter approach, we used NegEx because of its av...

2011
Emilia Apostolova Noriko Tomuro Dina Demner-Fushman

Detecting the linguistic scope of negated and speculated information in text is an important Information Extraction task. This paper presents ScopeFinder, a linguistically motivated rule-based system for the detection of negation and speculation scopes. The system rule set consists of lexico-syntactic patterns automatically extracted from a corpus annotated with negation/speculation cues and th...

Journal: :International journal of medical informatics 2009
Joshua C. Denny Randolph A. Miller Lemuel R. Waitman Mark Arrieta Josh F. Peterson

OBJECTIVE Typically detected via electrocardiograms (ECGs), QT interval prolongation is a known risk factor for sudden cardiac death. Since medications can promote or exacerbate the condition, detection of QT interval prolongation is important for clinical decision support. We investigated the accuracy of natural language processing (NLP) for identifying QT prolongation from cardiologist-genera...

2016
Savelie Cornegruta Robert Bakewell Samuel Withey Giovanni Montana

Motivated by the need to automate medical information extraction from free-text radiological reports, we present a bi-directional long short-term memory (BiLSTM) neural network architecture for modelling radiological language. The model has been used to address two NLP tasks: medical named-entity recognition (NER) and negation detection. We investigate whether learning several types of word emb...

Journal: :Soft Computing 2016

Journal: :Notre Dame Journal of Formal Logic 1976

Journal: :Nordic Atlas of Language Structures Journal 2017

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