About: Automated vocabulary discovery for geo-parsing online epidemic intelligence

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About: Automated vocabulary discovery for geo-parsing online epidemic intelligence Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Automated vocabulary discovery for geo-parsing online epidemic intelligence
Creator	Brownstein, John Keller, Mikaela Freifeld, Clark
Source	Medline; PMC
abstract	BACKGROUND: Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats. HealthMap is part of a new generation of online systems designed to monitor and visualize, on a real-time basis, disease outbreak alerts as reported by online news media and public health sources. HealthMap is of specific interest for national and international public health organizations and international travelers. A particular task that makes such a surveillance useful is the automated discovery of the geographic references contained in the retrieved outbreak alerts. This task is sometimes referred to as %22geo-parsing%22. A typical approach to geo-parsing would demand an expensive training corpus of alerts manually tagged by a human. RESULTS: Given that human readers perform this kind of task by using both their lexical and contextual knowledge, we developed an approach which relies on a relatively small expert-built gazetteer, thus limiting the need of human input, but focuses on learning the context in which geographic references appear. We show in a set of experiments, that this approach exhibits a substantial capacity to discover geographic locations outside of its initial lexicon. CONCLUSION: The results of this analysis provide a framework for future automated global surveillance efforts that reduce manual input and improve timeliness of reporting.
has issue date	2009-11-24(xsd:dateTime)
bibo:doi	10.1186/1471-2105-10-385
bibo:pmid	19930702
has license	cc-by
sha1sum (hex)	57694e4ef5e2af0338dc7ba54cf154b2b0cdda76
schema:url	https://doi.org/10.1186/1471-2105-10-385
resource representing a document's title	Automated vocabulary discovery for geo-parsing online epidemic intelligence
has PubMed Central identifier	PMC2787530
has PubMed identifier	19930702
schema:publication	BMC Bioinformatics
resource representing a document's body	covid:57694e4ef5e2af0338dc7ba54cf154b2b0cdda76#body_text
is schema:about of	named entity 'GEO' named entity 'emerging infectious disease' named entity 'travelers' named entity 'MONITOR' named entity 'NEW' named entity 'OUTBREAK' named entity 'CONTAINED IN' named entity 'SPECIFIC' named entity 'BASIS' named entity 'GLOBAL' named entity 'INTERNET' named entity 'PUBLIC HEALTH' named entity 'DISCOVERY' named entity 'METHOD' named entity 'PROVIDES' named entity 'HEALTH ORGANIZATIONS' named entity 'HUMAN' named entity 'NEWS MEDIA' named entity 'BACKGROUND' named entity 'TRAVELERS' named entity 'VISUALIZE' named entity 'GEO' named entity 'PART OF' named entity 'ONLINE' named entity 'ONLINE' named entity 'GEOGRAPHIC' named entity 'PARTICULAR' named entity 'ALERTING' named entity 'AUTOMATED' named entity 'DEMAND' named entity 'GENERATION' named entity 'NATIONAL' named entity 'USEFUL' named entity 'INTEREST' named entity 'AUTOMATED' named entity 'PARSING' named entity 'SENSITIVE' named entity 'DISEASE OUTBREAK' named entity 'REFERENCES' named entity 'SOURCES' named entity 'INTERNATIONAL' named entity 'CORPUS' named entity 'SURVEILLANCE' named entity 'TASK' named entity 'INTERNATIONAL PUBLIC HEALTH' named entity 'REFERRED TO' named entity 'ALERTS' named entity 'INTELLIGENCE' named entity 'TRAINING' named entity 'TYPICAL' named entity 'MANUALLY' named entity 'ONLINE SYSTEMS' named entity 'EPIDEMIC' named entity 'VOCABULARY' named entity 'DISCOVERY' named entity 'THREATS' named entity 'TAGGED' named entity 'REPORTED BY' named entity 'REAL-TIME' named entity 'EMERGING INFECTIOUS DISEASE' named entity 'PARSING' named entity 'TIMELY' named entity 'APPROACH' covid:arg/57694e4ef5e2af0338dc7ba54cf154b2b0cdda76 named entity 'biosurveillance' named entity 'stochastic gradient descent' named entity 'Natural Language Processing' named entity '2, 3' named entity 'disease outbreak' named entity 'false positives' named entity 'public health' named entity 'outbreak' named entity 'algorithm' named entity 'information extraction' named entity 'HealthMap' named entity 'information processing' named entity 'learning algorithm' named entity 'emerging disease' named entity 'disease outbreak'

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