 | This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)
|
Automatic content extraction (ACE) is a research program for developing advanced information extraction technologies convened by the NIST from 1999 to 2008, succeeding MUC and preceding Text Analysis Conference.
Topics and exercises
Given a text in natural language, the ACE challenge is to detect:
- entities mentioned in the text, such as: persons, organizations, locations, facilities, weapons, vehicles, and geo-political entities.
- relations between entities, such as: person A is the manager of company B.
- events mentioned in the text, such as: interaction, movement, transfer, creation and destruction.
The program relates to English, Arabic and Chinese texts.
The ACE corpus is one of the standard benchmarks for testing new information extraction algorithms.
References
- George Doddington@NIS T, Alexis Mitchell@LD C, Mark Przybocki@NIS T, Lance Ramshaw@BB N, Stephanie Strassel@LD C, Ralph Weischedel@BB N. The automatic content extraction (ACE) program–tasks, data, and evaluation. 2004
External links
- MUC - ACE's predecessor.
- ACE Archived 2013-09-25 at the Wayback Machine (LDC)
- ACE (NIST)
