The Illinois-Columbia system in the CoNLL-2014 shared task

Alla Rozovskaya, Kai Wei Chang, Mark Sammons, Dan Roth, Nizar Habash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The CoNLL-2014 shared task is an extension of last year’s shared task and focuses on correcting grammatical errors in essays written by non-native learners of English. In this paper, we describe the Illinois-Columbia system that participated in the shared task. Our system ranked second on the original annotations and first on the revised annotations. The core of the system is based on the University of Illinois model that placed first in the CoNLL-2013 shared task. This baseline model has been improved and expanded for this year’s competition in several respects. We describe our underlying approach, which relates to our previous work, and describe the novel aspects of the system in more detail.

Original languageEnglish (US)
Title of host publicationCoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task
PublisherAssociation for Computational Linguistics (ACL)
Pages34-42
Number of pages9
ISBN (Electronic)9781941643198
StatePublished - Jan 1 2014
Event18th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2014 - Baltimore, United States
Duration: Jun 26 2014Jun 27 2014

Publication series

NameCoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task

Conference

Conference18th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2014
Country/TerritoryUnited States
CityBaltimore
Period6/26/146/27/14

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Linguistics and Language
  • Artificial Intelligence

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