A Machine learning Filter for Relation Extraction

@article{Cesare2016AML,
  title={A Machine learning Filter for Relation Extraction},
  author={Kevin Lange Di Cesare and Michel Gagnon and Amal Zouaq and Ludovic Jean-Louis},
  journal={Proceedings of the 25th International Conference Companion on World Wide Web},
  year={2016}
}
The TAC KBP English slot filling track is an evaluation campaign that targets the extraction of 41 pre-identified relations related to specific named entities. In this work, we present a machine learning filter whose aim is to enhance the precision of relation extractors while minimizing the impact on recall. Our approach aims at filtering relation extractors' output using a binary classifier based on a wide array of features including syntactic, lexical and statistical features. We… 

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