Revision-Based Generation of Natural Language Summaries Providing Historical Background -- Corpus-Based Analysis, Design, Implementation and Evaluation (1994)
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BibTeX
@MISC{Robin94revision-basedgeneration,
author = {Jacques Robin},
title = {Revision-Based Generation of Natural Language Summaries Providing Historical Background -- Corpus-Based Analysis, Design, Implementation and Evaluation},
year = {1994}
}
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Abstract
Automatically summarizing vast amounts of on-line quantitative data with a short natural language paragraph has a wide range of real-world applications. However, this specific task raises a number of difficult issues that are quite distinct from the generic task of language generation: conciseness, complex sentences, floating concepts, historical background, paraphrasing power and implicit content. In this thesis, I address these specific issues by proposing a new generation model in which a first pass builds a draft containing only the essential new facts to report and a second pass incrementally revises this draft to opportunistically add as many background facts as can fit within the space limit. This model requires a new type of linguistic knowledge: revision operations, which specifyies the various ways a draft can...
