Title | ||
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Exploring and exploiting the limited utility of captions in recognizing intention in information graphics |
Abstract | ||
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This paper presents a corpus study that explores the extent to which captions contribute to recognizing the intended message of an information graphic. It then presents an implemented graphic interpretation system that takes into account a variety of communicative signals, and an evaluation study showing that evidence obtained from shallow processing of the graphic's caption has a significant impact on the system's success. This work is part of a larger project whose goal is to provide sight-impaired users with effective access to information graphics. |
Year | DOI | Venue |
---|---|---|
2005 | 10.3115/1219840.1219868 | ACL |
Keywords | Field | DocType |
graphic interpretation system,shallow processing,larger project,corpus study,information graphics,evaluation study,intended message,communicative signal,effective access,limited utility,sight-impaired user | Graphics,Computer science,Artificial intelligence,Natural language processing,Access to information,Multimedia | Conference |
Volume | Citations | PageRank |
P05-1 | 16 | 0.91 |
References | Authors | |
8 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stephanie Elzer | 1 | 229 | 15.79 |
Sandra Carberry | 2 | 1005 | 122.43 |
Daniel Chester | 3 | 138 | 17.51 |
Seniz Demir | 4 | 130 | 10.67 |
Nancy Green | 5 | 117 | 13.33 |
Ingrid Zukerman | 6 | 994 | 113.39 |
Keith Trnka | 7 | 97 | 7.51 |