Academic
Publications
Automatic Keyphrases Extraction from Document Using Neural Network

Automatic Keyphrases Extraction from Document Using Neural Network,10.1007/11739685_66,Jiabing Wang,Hong Peng,Jing-song Hu

Automatic Keyphrases Extraction from Document Using Neural Network   (Citations: 2)
BibTex | RIS | RefWorks Download
Keyphrase extraction is a task with many applications in information retrieval, text mining, and natural language processing. In this paper, a keyphrase extraction approach based on neural network is proposed. To determine whether a phrase is a keyphrase, the following features of a phrase in a given document are adopted: its term frequency and inverted document frequency, whether to appear in the title or headings (subheadings) of the given document, and its frequency appearing in the paragraphs of the given document. The algorithm is evaluated by the standard information retrieval metrics of precision and recall, and human assessment.
Conference: Machine Learning and Cybernetics - ICMLC , pp. 633-641, 2005
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
Sort by: