Using Wikipedia Concepts and Frequency in Language to Extract Key Terms from Support Documents

Using Wikipedia Concepts and Frequency in Language to Extract Key Terms from Support Documents - scientific work related to Wikipedia quality published in 2012, written by M. Romero, Alejandro Moreo, Juan Luis Castro and Jose Manuel Zurita.

Overview

In this paper, authors present a new key term extraction system able to handle with the particularities of support documents. Authors system takes advantages of frequency-based and thesaurus-based approaches to recognize two different classes of key terms. On the one hand, it identifies multi-domain key terms of the collection using Wikipedia as knowledge resource. On the other hand, the system extracts specific key terms highly related with the context of a support document. Authors use the frequency in language as a criterion to detect and rank such terms. To prove the validity of system authors have designed a set of experiment using a Frequently Asked Questions (FAQ) collection of documents. Since approach is generic, minor modifications should be undertaken to adapt the system to other kind of support documents. The empirical results evidence the validity of approach.