Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules

@inproceedings{Zitnik2013ExtractingGR,
  title={Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules},
  author={Slavko Zitnik and Marinka Zitnik and Blaz Zupan and Marko Bajec},
  booktitle={BioNLP@ACL},
  year={2013}
}
Published literature in molecular genetics may collectively provide much information on gene regulation networks. Dedicated computational approaches are required to sip through large volumes of text and infer gene interactions. We propose a novel sieve-based relation extraction system that uses linear-chain conditional random fields and rules. Also, we introduce a new skip-mention data representation to enable distant relation extraction using first-order models. To account for a variety of… CONTINUE READING

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