Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing

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.

• Type: Conference
• Year: 2008
• Where: ACL
• Authors: Andras Csomai, Rada Mihalcea
• Keywords: ACL 2008, Back-of-the-book Index Construction, Computational Linguistics, State-of-the-art Supervised Method, Supervised Method