A Machine learning Filter for Relation Extraction

Kevin Lange Di Cesare, Michel Gagnon, Amal Zouaq, Ludovic Jean-Louis
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
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
more » ... the classifier on 14 of the 18 participating systems in the TAC KBP English slot filling track 2013. The results show that our filter is able to improve the precision of the best 2013 system by nearly 20% and improve the F1score for 17 relations out of 33 considered.
doi:10.1145/2872518.2889397 dblp:conf/www/CesareGZJ16 fatcat:p76722fvcjf2bmvfqtccxq6oxm