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Jacques Robin

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3 papers

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AIJ Journal 1996 Journal Article

Empirically designing and evaluating a new revision-based model for summary generation

Jacques Robin
Kathleen McKeown

We present a system for summarizing quantitative data in natural language, focusing on the use of a corpus of basketball game summaries, drawn from on-line news services, to empirically shape the system design and to evaluate our approach. Our initial corpus analysis revealed characteristics of textual summaries that challenge the capabilities of current language generation systems. In order to meet these challenges, we developed a revision-based model for summary generation and implemented it in our prototype system streak. A second, detailed corpus analysis was used to identify and encode the revision rules of the system. Finally, we carried out a quantitative evaluation, using several test corpora, to measure the robustness of the new revision-based model. Our results show that our new model improves both coverage and extensibility of the traditional language generation model.

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AAAI Conference 1993 Conference Paper

Corpus Analysis for Revision-Based Generation of Complex Sentences

Jacques Robin

The complex sentences of newswire reports contain floating content units that appear to be opportunistically placed where the form of the surrounding text allows. We present a corpus analysis that identified precise semantic and syntactic constraints on where and how such information is realized. The result is a set of revision tools that form the rule base for a report generation system, allowing incremental generation of complex sentences.

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AAAI Conference 1992 Conference Paper

Generating Cross-References for Multimedia Explanation

Kathleen R. McKeown
Jacques Robin

When explanations include multiple media, such as text and illustrations, a reference to an object can be made through a combination of media. We call part of a presentation that references material elsewhere a cross-reference. We are concerned here with how textual expressions can refer to parts of accompanying illustrations. The illustration to which a cross-reference refers should also satisfy the specific goal of identifying an object for the user. Thus, producing an effective cross-reference not only involves text generation, but may also entail modifying or replacing an existing illustration and in some cases, generating an illustration where previously none was needed. In this paper, we describe the different types of cross-references that COMET (Coordinated Multimedia Explanation Testbed) generates and show the roles that both its text and graphics generators play in this process.

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