Link Detection – Results and Analysis
journal contribution
posted on 1999-01-01, 00:00 authored by Ralf D. Brown, Thomas Pierce, Yiming Yang, Jaime G. Carbonell
This paper describes the two Story Link Detection systems Carnegie Mellon University (CMU) developed, and examines why their performance on the evaluation data was considerably worse than expected while performance on an alternate evaluation set matched the performance on the training data.