Automatic Content Extraction
The objective of the ACE Program is to develop extraction technology to support automatic processing of source language data (in the form of natural text, and as text derived from ASR and OCR). This includes classification, filtering, and selection based on the language content of the source data, i.e., based on the meaning conveyed by the data. Thus the ACE program requires the development of technologies that automatically detect and characterize this meaning. The ACE research objectives are viewed as the detection and characterization of Entities, Relations, and Events.
Linguistic Data Consortium develops annotation guidelines, corpora and other linguistic resources to support the ACE Program. Some of these resources have been developed in cooperation with the TIDES Program, in support of TIDES Extraction evaluations.
- ACE introduction
An overview of ACE research and annotation tasks.
- ACE data overview
A profile of data created for ACE Program technology evaluations.
- Current ACE efforts
Description of current annotation effort, including task definitions and pointers to information about evaluations.
- Previous ACE efforts
Archive of previous annotation task definitions and pointers to information about prior evaluations.
- ACE Annotation Tools
Download LDC's most recent ACE annotation toolkit.
ACE Workshops hosted by LDC
- Papers and Presentations
ACE-related papers and presentations by LDC