Automatically annotating textual resources with human intentions

Annotations represent an increasingly popular means for organizing, categorizing and finding resources on the “social” web. Yet, only a small portion of the total resources available on the web are annotated. In this paper, we describe a prototype iTAG - for automatically annotating textual resources with human intent, a novel dimension of tagging. We investigate the extent to which the automatic analysis of human intentions in textual resources is feasible. To address this question, we present selected evidence from a study aiming to automatically annotate intent in a simplified setting, that is transcripts of speeches given by US presidential candidates in 2008. Categories and Subject Descriptors

• Type: Conference
• Year: 2009
• Where: HYPERTEXT
• Authors: Markus Strohmaier, Mark Kröll, Christian Körner
• Keywords: Computer Science, Human Intent, HYPERTEXT 2009, Textual Resources, Total Resources