Learning Patterns for Information Extraction from Free Text
نویسندگان
چکیده
We describe a general approach to the task of information extraction from free text and propose methods for learning syntax patterns automatically from annotated corpora. We study the application of our approach to the extraction of protein-protein interactions from scientific texts. Based on this evaluation, we find that learning patterns outperforms techniques based on handcrafted patterns.
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تاریخ انتشار 2005