Semi-Supervised Technical Term Tagging With Minimal User Feedback

LREC 2012 Behrang QasemiZadehPaul BuitelaarTianqi ChenGeorgeta Bordea

In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger that is based on Liblinear Support Vector Machines and employs linguistic features including Part of Speech tags and Dependency Structures, in addition to user feedback to perform the task of identification of technology related terms... (read more)

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