Hedge classification with syntactic dependency features based on an ensemble classifier

  • Authors:
  • Yi Zheng;Qifeng Dai;Qiming Luo;Enhong Chen

  • Affiliations:
  • University of Science and Technology of China, Hefei, China;University of Science and Technology of China, Hefei, China;University of Science and Technology of China, Hefei, China;University of Science and Technology of China, Hefei, China

  • Venue:
  • CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
  • Year:
  • 2010

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Abstract

We present our CoNLL-2010 Shared Task system in the paper. The system operates in three steps: sequence labeling, syntactic dependency parsing, and classification. We have participated in the Shared Task 1. Our experimental results measured by the in-domain and cross-domain F-scores on the biological domain are 81.11% and 67.99%, and on the Wikipedia domain 55.48% and 55.41%.