Abstract
One common application of text mining is event extraction, which encompasses deducing specific knowledge concerning incidents referred to in texts. Event extraction can be applied to various types of written text, e.g., (online) news messages, blogs, and manuscripts. This literature survey reviews text mining techniques that are employed for various event extraction purposes. It provides general guidelines on how to choose a particular event extraction technique depending on the user, the available content, and the scenario of use.
| Original language | English |
|---|---|
| Title of host publication | Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011) at Tenth International Semantic Web Conference (ISWC 2011) |
| Editors | M. van Erp, W.R. van Hage, L. Hollink, A. Jameson, R. Troncy |
| Pages | 48-57 |
| Number of pages | 10 |
| Volume | 779 |
| Publication status | Published - 23 Oct 2011 |
Research programs
- EUR ESE 32