Event Extraction Approach for French Language
Sellmi, Oussama (SOIE, ISG de Tunis)
S. Tenier, A. Napoli, X. Polanco and Y.Toussaint (2006) With the proliferation of news articles from thousands of developed an automatic WebPages semantic annotation different sources now available on the Web, summarization system. The objective is to classify pages concerning teams of such information is becoming increasingly important. of research, in order to be able to determine for example Considering the large number of news source (for who works where, on what and with whom (use of examples, BBC, Reuters, CNN…), every day, thousands of ontology of the domain). It consists, first, of the articles are produced in the entire world concerning a given identification of the syntactic structure characterizing the event.
May-18-2011
- Country:
- North America > United States
- New York (0.04)
- Florida
- Volusia County > Daytona Beach (0.04)
- Monroe County > Key West (0.04)
- California > San Diego County
- San Diego (0.04)
- Europe
- France (0.04)
- Switzerland > Geneva
- Geneva (0.04)
- Asia > Middle East
- Iraq
- Baghdad Governorate > Baghdad (0.05)
- Kirkuk Governorate > Kirkuk (0.04)
- Basra Governorate > Basra (0.04)
- Iraq
- Africa > Middle East
- Tunisia > Tunis Governorate > Tunis (0.04)
- North America > United States
- Industry:
- Government > Military (0.47)
- Technology: