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Published in:
2015 | OriginalPaper | Chapter
A Novel Knowledge Extraction Framework for Resumes Based on Text Classifier
Authors : Jie Chen, Zhendong Niu, Hongping Fu
Published in: Web-Age Information Management
Publisher: Springer International Publishing
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In the information age, there are plenty of resume data in the internet. Several previous research have been proposed to extract facts from resumes, however, they mainly rely on large amounts of labeled data and the text format information, which made them limited by human efforts and the file format. In this paper, we propose a novel framework, not depending on the file format, to extract knowledge about the person for building a structured resume repository. The proposed framework includes two major processes: the first is to segment text into semi-structured data with some text pretreatment operations. The second is to further extract knowledge from the semi-structured data with text classifier. The experiments on the real dataset demonstrate the improvement when compared to previous researches.