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A comprehensive gold standard for the enron organizational hierarchy

  • Apoorv Agarwal
  • , Adinoyi Omuya
  • , Aaron Harnly
  • , Owen Rambow
  • Columbia University
  • Wireless Generation Inc.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations

Abstract

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. Using 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.

Original languageEnglish
Title of host publication50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
Pages161-165
Number of pages5
StatePublished - 2012
Event50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Jeju Island, Korea, Republic of
Duration: Jul 8 2012Jul 14 2012

Publication series

Name50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
Volume2

Conference

Conference50th Annual Meeting of the Association for Computational Linguistics, ACL 2012
Country/TerritoryKorea, Republic of
CityJeju Island
Period07/8/1207/14/12

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