Plan-based integration of natural language and graphics generation
Artificial Intelligence - Special volume on natural language processing
Intelligent multimedia presentation systems: research and principles
Intelligent multimedia interfaces
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Mapping communicative goals into conceptual tasks to generate graphics in discourse
Proceedings of the 5th international conference on Intelligent user interfaces
A Discipline for Software Engineering
A Discipline for Software Engineering
Intentions in the coordinated generation of graphics and text from tabular data
Knowledge and Information Systems
Describing complex charts in natural language: a caption generation system
Computational Linguistics - Special issue on natural language generation
Referring to world objects with text and pictures
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
A strategy for generating evaluative arguments
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Avoiding unwanted conversational implicatures in text and graphics
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
International Journal of Human-Computer Studies
An experiment to evaluate the effectiveness of cross-media cues in computer media
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
| Hi-index | 0.00 |
We have analyzed a corpus of human-authored arguments expressed in text and information graphics, non-pictorial graphics such as bar graphs. The goal of our research is to enable intelligent argument generation systems to make effective use of these media. This paper presents and compares two classification schemes used to analyze the corpus, illustrated by examples from the corpus, and discusses implications for generation systems.