Automatically annotating textual resources with human intentions

Authors:
Markus Strohmaier;Mark Kröll;Christian Koerner
Affiliations:
Graz University of Technology, Graz, Austria;Graz University of Technology, Graz, Austria;Graz University of Technology, Graz, Austria
Venue:
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Year:
2009

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Abstract

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.