Learning to extract proteins and their interactions from Medline abstracts

Learning to extract proteins and their interactions from Medline abstracts (2002)

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by Razvan Bunescu , Ruifang Ge , Rohit J. Kate , Raymond J. Mooney , Yuk Wah Wong , Arun Ramani

Venue:	In: ICML-2003 Workshop on Machine Learning in Bioinformatics. (2003
Citations:	10 - 0 self

BibTeX

@INPROCEEDINGS{Bunescu02learningto,
    author = {Razvan Bunescu and Ruifang Ge and Rohit J. Kate and Raymond J. Mooney and Yuk Wah Wong and Arun Ramani},
    title = {Learning to extract proteins and their interactions from Medline abstracts},
    booktitle = {In: ICML-2003 Workshop on Machine Learning in Bioinformatics. (2003},
    year = {2002},
    pages = {46--53}
}

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Abstract

We present results from a variety of learned information extraction systems for identifying human protein names in Medline abstracts and subsequently extracting interactions between the proteins. We demonstrate that machine learning approaches using support vector machines and hidden Markov models are able to identify human proteins with higher accuracy than several previous approaches. We also demonstrate that various rule induction methods are able to identify protein interactions with higher precision than manually-developed rules. 1.

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