Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing
Andras Csomai, Rada F. Mihalcea · University of North Texas Digital Library (University of North Texas) · 2008
In this paper we present a supervised method for back-of-the-book index construction. We introduce a novel set of features that goes beyond the typical frequency-based analysis, including features based on discourse comprehension, syntactic patterns, and information drawn from an online encyclopedia. In experiments carried out on a book collection, the method was found to lead to an improvement of roughly 140 % as compared to an existing state-of-the-art supervised method. 1