Paper: A Comprehensive Gold Standard for the Enron Organizational Hierarchy

ACL ID P12-2032
Title A Comprehensive Gold Standard for the Enron Organizational Hierarchy
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

Many researchers have attempted to predict the Enron corporate hierarchy from the data. This work, however, has been hampered by a lack of data. We present a new, large, and freely available gold-standard hierarchy. Us- ing our new gold standard, we show that a simple lower bound for social network-based systems outperforms an upper bound on the approach taken by current NLP systems.