Paper: NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels

ACL ID S13-2107
Title NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

A drug-drug interaction (DDI) occurs when one drug affects the level or activity of another drug. Semeval 2013 DDI Extraction challenge is going to be held with the aim of identify- ing the state of the art relation extraction algo- rithms. In this paper we firstly review some of the existing approaches in relation extraction generally and biomedical relations especially. And secondly we will explain our SVM based approaches that use lexical, morphosyntactic and parse tree features. Our combination of sequence and tree kernels have shown promis- ing performance with a best result of 0.54 F1 macroaverage on the test dataset.