Key-Phrase Extraction Based on a Combination of CRF Model with Document Structure

Key-Phrase should not only reflect the main content of a document, but also reflect the specialty of this document. Key-Phrase extraction is an important technique in the field of text information processing. With the advent of the Internet age, on-line file shows an astonishing increase in geometry and information explosion has became the main character of this age. Searching and making use of network information becomes more difficult. Therefore, automatically extraction on keyword is required. This paper uses the idea of classification to complete the task of Key-Phrase extraction, which uses SVM to build classification model and uses CRF to extract Key-Phrases. The testing result shows that, the mentioned extraction approach has improved dramatically compared with previous methods in precision and recall rate.