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This paper describes a media-independent knowledge representation scheme, or content language, for describing the content of communicative goals and actions. The language is used within an intelligent system for automatically generating integrated text and information graphics presentations about complex , quantitative information. The language is designed(More)
This paper extends language understanding and plan inference to information graphics. We identify the kinds of communicative signals that appear in information graphics, describe how we utilize them in a Bayesian network that hypothesizes the graphic's intended message, and discuss the performance of our implemented system. This work is part of a larger(More)
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(More)
For people who use text-based web browsers, graphs, diagrams, and pictures are inaccessible. Yet, such diagrams are quite prominent in documents commonly found on the web. In this work we describe a method for rendering important aspects of a line graph as plain text. Our method relies heavily on research in natural language generation and is motivated by(More)
This paper describes a media-independent, compositional, plan-based approach to representing attributive descriptions for use in integrated text and graphics generation. An attributive description's main function is to convey information directly contributing to the communicative goals of a discourse, whereas a referential description's only function is to(More)
We developed a Bayesian network coding scheme for annotating biomedical content in layperson-oriented clinical genetics documents. The coding scheme supports the representation of probabilistic and causal relationships among concepts in this domain, at a high enough level of abstraction to capture commonalities among genetic processes and their relationship(More)
Initiative in dialogue can be regarded as the speaker taking the opportunity to contribute more information than was his obligation in a particular discourse turn. This paper describes the use of stimulus conditions as a computational mechanism for taking the initiative to provide unrequested information in responses to Yes-No questions, as part of a system(More)