Business Information Systems / MIT Press / Matsushita / Skype / Google / Large Text Corpora / Picnik / Hyponyms / Microsoft / Decision Support Systems / Intelligent Transportation Systems / Apple / /
Continent
Asia / /
Country
Netherlands / / /
Event
M&A / /
Facility
Knowledge Media Institute / Franciska de Jong Erasmus University / Building Personalized News Services / /
IndustryTerm
online news / hybrid event extraction systems / daily web news / text mining / Online Daily News / personalized news systems / Web-Based Approach / statistics-based text mining / pattern-based algorithms / e - business / finance / proper text mining techniques / decision making support tools / data-driven text mining / Web queries / word-based statistical text mining / knowledge-driven text mining / risk analysis applications / Web search engines / supervised pattern learning algorithm / Web Mining / natural language processing applications / hybrid systems / real-time extraction / e-news / cross-lingual research systems / automated language processing / Online News Documents / text mining techniques / Web Engineering / /
Organization
German parliament / Rotterdam PO / IFIP International Federation for Information Processing / MIT / Web Intelligence / Knowledge Media Institute / Association for Computational Linguistics / /
Person
Semi-Supervised Maximum / Low High High Med Yakushiji / /
Position
Lexico-Syntactic General / General / Hunter / /
ProgrammingLanguage
Lexico / php / /
PublishedMedium
Journal of Finance / Review of Financial Studies / the Stock Market Bulletin / Computational Linguistics / Lala / Lecture Notes in Computer Science / /
An Overview of Event Extraction from Text Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, and Franciska de Jong Erasmus University Rotterdam PO Box 1738, NL-3000 DR Rotterdam, the Netherlands {fhogenboom, frasincar,