Message Understanding Conference (MUC) 7
|Item Name:||Message Understanding Conference (MUC) 7|
|LDC Catalog No.:||LDC2001T02|
|Project(s):||TIDES, MUC, GALE|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2001T02 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Chinchor, Nancy. Message Understanding Conference (MUC) 7 LDC2001T02. Web Download. Philadelphia: Linguistic Data Consortium, 2001.|
Message Understanding Conference (MUC) 7 was produced by Linguistic Data Consortium (LDC) catalog number LDC2001T02 and ISBN 1-58563-205-8.
In the 1990s, the MUC evaluations funded the development of metrics and statistical algorithms to support government evaluations of emerging information extraction technologies. Additional information from NIST can be found here.
The following list shows the correspondence between versions of the IE task definition and stages of the MUC-7 evaluation.
|4.1||training and dryrun|
The dryrun and formalrun have different domains; the dryrun (and training) consists of aircrashes scenarios and the formalrun consists of missile launches scenarios. The final version updates especially the Template Relations portion of the guidelines.
Normally, for each scenario, two datasets are provided: training and test. When the evaluation cycle begins, the label for the scenario dataset is training. Then the corresponding test dataset for that same scenario is used for the dryrun testing. For the formal run, a formal training set is given out four weeks before the test answers are due. The formal test is given out one week before the test answers are due. After the entire evaluation and meeting have been held, final edits are made if necessary.
Please view this text sample.
August 22, 2001: This publication was inadvertently released without the guidelines documentation and the scoring software. These documents and programs have now been added to the publication and if you previously purchased this corpus and would like to download a complete copy of the corpus please contact email@example.com.