Corpus ID: 18682728

Ensemble Detection of Single & Multiple Events at Sentence-Level

@article{Marujo2014EnsembleDO,
  title={Ensemble Detection of Single & Multiple Events at Sentence-Level},
  author={Lu{\'i}s Marujo and Anatole Gershman and Jaime G. Carbonell and Jo{\~a}o Paulo da Silva Neto and David Martins de Matos},
  journal={ArXiv},
  year={2014},
  volume={abs/1403.6023}
}
  • Luís Marujo, Anatole Gershman, +2 authors David Martins de Matos
  • Published in ArXiv 2014
  • Computer Science
  • Event classification at sentence level is an important Information Extraction task with applications in several NLP, IR, and personalization systems. Multi-label binary relevance (BR) are the state-of-art methods. In this work, we explored new multi-label methods known for capturing relations between event types. These new methods, such as the ensemble Chain of Classifiers, improve the F1 on average across the 6 labels by 2.8% over the Binary Relevance. The low occurrence of multi-label… CONTINUE READING

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