• Corpus ID: 2237672

SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)

@inproceedings{SeguraBedmar2013SemEval2013T9,
  title={SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)},
  author={Isabel Segura-Bedmar and Paloma Mart{\'i}nez and Mar{\'i}a Herrero-Zazo},
  booktitle={International Workshop on Semantic Evaluation},
  year={2013}
}
The DDIExtraction 2013 task concerns the recognition of drugs and extraction of drugdrug interactions that appear in biomedical literature. We propose two subtasks for the DDIExtraction 2013 Shared Task challenge: 1) the recognition and classification of drug names and 2) the extraction and classification of their interactions. Both subtasks have been very successful in participation and results. There were 14 teams who submitted a total of 38 runs. The best result reported for the first… 

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This work developed a two-step approach in which pairs are initially extracted using ensembles of up to five different classifiers and then relabeled to one of the four categories, which achieved the second rank in the DDI competition.

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

This paper firstly reviews some of the existing approaches in relation extraction generally and biomedical relations especially and secondly it explains the SVM based approaches that use lexical, morphosyntactic and parse tree features.

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