@article{
 title = {Frontex Real-time News Event Extraction Framework},
 type = {article},
 year = {2007},
 identifiers = {[object Object]},
 keywords = {event extraction,multilingual news mining,visualization},
 pages = {749-752},
 volume = {27},
 websites = {PlantCellRep27_117.pdf},
 id = {d51e5d23-5b0c-39fa-8e8d-6ac6b66c7b4a},
 created = {2012-02-28T00:51:15.000Z},
 file_attached = {false},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 tags = {event extraction},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Atkinson2007},
 private_publication = {false},
 abstract = {An ever-growing amount of information relevant for early detection of certain threats can be extracted from on-line news. This led to an emergence of news mining tools to help analysts to digest the overflow of information and to extract valuable knowledge from on-line news sources. This paper gives an overview of the fully operational Real- time News Event Extraction Framework developed for Fron- tex, the EU Border Agency, to facilitate the process of ex- tracting structured information on border security-related events from on-line news. In particular, a hybrid event extraction system has been constructed, which is applied to the stream of news articles continuously gathered and pre-processed by the Europe Media Monitor—a large-scale multilingual news aggregation engine. The framework con- sists also of an earth browser, in which events are visual- ized and an event moderation tool, which allows to access the database of automatically extracted event descriptions and to clean, validate, group, enhance and export them into other knowledge repositories.},
 bibtype = {article},
 author = {Atkinson, Martin},
 journal = {Media},
 number = {1}
}

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