@article{
 title = {Real-time event extraction for infectious disease outbreaks},
 type = {article},
 year = {2002},
 identifiers = {[object Object]},
 pages = {366-369},
 websites = {http://portal.acm.org/citation.cfm?id=1289189.1289229},
 publisher = {Association for Computational Linguistics},
 id = {626889c5-afcf-3012-aee5-59b0a7b58202},
 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 = {Grishman2002},
 private_publication = {false},
 abstract = {We describe a system for creating and automatically updating a data base of information on infectious disease outbreaks. A web crawler is used to retrieve current news stories; potentially relevant stories are fed to an information extraction engine, whose output is used to update the data base. A web-based browser allows users to examine the data base and select records based on date, disease, location, and other fields. The browser can also display the source text from which the data base information is derived. The data base provides an alternative to conventional search engines for retrieving documents in this domain; the advantages and disadvantages of this approach are discussed.},
 bibtype = {article},
 author = {Grishman, Ralph and Huttunen, Silja and Yangarber, Roman},
 journal = {Proceedings of the second international conference on Human Language Technology Research}
}

{"_id":"KRQTkr9kFpCnxqbHr","bibbaseid":"grishman-huttunen-yangarber-realtimeeventextractionforinfectiousdiseaseoutbreaks-2002","authorIDs":[],"author_short":["Grishman, R.","Huttunen, S.","Yangarber, R."],"bibdata":{"title":"Real-time event extraction for infectious disease outbreaks","type":"article","year":"2002","identifiers":"[object Object]","pages":"366-369","websites":"http://portal.acm.org/citation.cfm?id=1289189.1289229","publisher":"Association for Computational Linguistics","id":"626889c5-afcf-3012-aee5-59b0a7b58202","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":"Grishman2002","private_publication":false,"abstract":"We describe a system for creating and automatically updating a data base of information on infectious disease outbreaks. A web crawler is used to retrieve current news stories; potentially relevant stories are fed to an information extraction engine, whose output is used to update the data base. A web-based browser allows users to examine the data base and select records based on date, disease, location, and other fields. The browser can also display the source text from which the data base information is derived. The data base provides an alternative to conventional search engines for retrieving documents in this domain; the advantages and disadvantages of this approach are discussed.","bibtype":"article","author":"Grishman, Ralph and Huttunen, Silja and Yangarber, Roman","journal":"Proceedings of the second international conference on Human Language Technology Research","bibtex":"@article{\n title = {Real-time event extraction for infectious disease outbreaks},\n type = {article},\n year = {2002},\n identifiers = {[object Object]},\n pages = {366-369},\n websites = {http://portal.acm.org/citation.cfm?id=1289189.1289229},\n publisher = {Association for Computational Linguistics},\n id = {626889c5-afcf-3012-aee5-59b0a7b58202},\n created = {2012-02-28T00:51:15.000Z},\n file_attached = {false},\n profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},\n group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},\n last_modified = {2017-03-14T14:36:19.698Z},\n tags = {event extraction},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Grishman2002},\n private_publication = {false},\n abstract = {We describe a system for creating and automatically updating a data base of information on infectious disease outbreaks. A web crawler is used to retrieve current news stories; potentially relevant stories are fed to an information extraction engine, whose output is used to update the data base. A web-based browser allows users to examine the data base and select records based on date, disease, location, and other fields. The browser can also display the source text from which the data base information is derived. The data base provides an alternative to conventional search engines for retrieving documents in this domain; the advantages and disadvantages of this approach are discussed.},\n bibtype = {article},\n author = {Grishman, Ralph and Huttunen, Silja and Yangarber, Roman},\n journal = {Proceedings of the second international conference on Human Language Technology Research}\n}","author_short":["Grishman, R.","Huttunen, S.","Yangarber, R."],"urls":{"Website":"http://portal.acm.org/citation.cfm?id=1289189.1289229"},"bibbaseid":"grishman-huttunen-yangarber-realtimeeventextractionforinfectiousdiseaseoutbreaks-2002","role":"author","downloads":0,"html":""},"bibtype":"article","creationDate":"2020-02-06T23:48:12.014Z","downloads":0,"keywords":[],"search_terms":["real","time","event","extraction","infectious","disease","outbreaks","grishman","huttunen","yangarber"],"title":"Real-time event extraction for infectious disease outbreaks","year":2002}