A domain independent environment for creating information extraction modules

Feldman, Ronen; Aumann, Yonatan; Liberzon, Yair; Ankori, Kfir; Schler, Jonathan; Rosenfeld, Benjamin

doi:10.1145/502692.502699

Cited by 1 publication

(1 citation statement)

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“…In event extraction, additional levels of semantic analysis allow the system to gain a deeper level of understanding about the public health significance of the event through rules for disambiguating the geo-temporal and linguistic context in which a term is used. This is done by using a simple rule language (SRL) motivated by DIAL (Feldman et al , 2001 ) with a capability to match entity classes, skipwords, string literals, regular expressions, entity types as well as guard lists. Examples of lists include verbs of infection, common victim expressions, occupation names and so on.…”

Section: Methodsmentioning

confidence: 99%

BioCaster: detecting public health rumors with a Web-based text mining system

et al. 2008

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Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700 RSS feeds, classifies them for topical relevance and plots them onto a Google map using geocoded information. The background knowledge for bridging the gap between Layman's terms and formal-coding systems is contained in the freely available BioCaster ontology which includes information in eight languages focused on the epidemiological role of pathogens as well as geographical locations with their latitudes/longitudes. The system consists of four main stages: topic classification, named entity recognition (NER), disease/location detection and event recognition. Higher order event analysis is used to detect more precisely specified warning signals that can then be notified to registered users via email alerts. Evaluation of the system for topic recognition and entity identification is conducted on a gold standard corpus of annotated news articles.Availability: The BioCaster map and ontology are freely available via a web portal at http://www.biocaster.org.Contact: collier@nii.ac.jp

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Section: Methodsmentioning

confidence: 99%