The CoNLL-2010 shared task: Learning to detect hedges and their scope in natural language text

Richárd Farkas, Veronika Vincze, György Móra, János Csirik, György Szarvas

Research output: Contribution to conferencePaper

168 Citations (Scopus)

Abstract

The CoNLL-2010 Shared Task was dedicated to the detection of uncertainty cues and their linguistic scope in natural language texts. The motivation behind this task was that distinguishing factual and uncertain information in texts is of essential importance in information extraction. This paper provides a general overview of the shared task, including the annotation protocols of the training and evaluation datasets, the exact task definitions, the evaluation metrics employed and the overall results. The paper concludes with an analysis of the prominent approaches and an overview of the systems submitted to the shared task.

Original languageEnglish
Pages1-12
Number of pages12
Publication statusPublished - Dec 1 2010
Event14th Conference on Computational Natural Language Learning, CoNLL 2010: Shared Task - Uppsala, Sweden
Duration: Jul 15 2010Jul 16 2010

Other

Other14th Conference on Computational Natural Language Learning, CoNLL 2010: Shared Task
CountrySweden
CityUppsala
Period7/15/107/16/10

ASJC Scopus subject areas

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

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    Farkas, R., Vincze, V., Móra, G., Csirik, J., & Szarvas, G. (2010). The CoNLL-2010 shared task: Learning to detect hedges and their scope in natural language text. 1-12. Paper presented at 14th Conference on Computational Natural Language Learning, CoNLL 2010: Shared Task, Uppsala, Sweden.