A Discourse-Aware Graph-Based Content-Selection Framework

This paper presents an easy-to-adapt, discourse-aware framework that can be utilized as the content selection component of a generation system whose goal is to deliver descriptive texts in several turns. Our framework involves a novel use of a graph-based ranking algorithm, to iteratively determine what content to convey to a given request while taking into account various considerations such as capturing a priori importance of information, conveying related information, avoiding redundancy, and incorporating the effects of discourse history. We illustrate and evaluate this framework in an accessibility system for sight-impaired individuals.

• Type: Journal
• Year: 2010
• Where: INLG
• Authors: Seniz Demir, Sandra Carberry, Kathleen F. McCoy
• Keywords: Account Various Considerations, Content Selection Component, Graph-based Ranking Algorithm, INLG 2010, Natural Language Processing