Using Phrase-Structure Rules in Extractive Text Summarization

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2016
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Haverford College. Department of Computer Science
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eng
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Abstract
Document summarization has become increasingly important since the explosion of data creation that began in the mid-20th century. Improving automated text summarization is essential in order to provide methods of generating summaries either for the purpose of replacing a larger document or for indexing. The most common form of automatic text summarization utilizes extractive techniques, which nearly always rely on orthographic sentences as the main textual unit. By using phrase-structure sentences instead, we are able to isolate meaning and importance at the sub-sentence, but super-word, level. In changing the primary textual unit from orthographic sentence to phrase-structure sentence, we hope to see a marked improvement in the quality of generated abstracts, as assessed by the ROUGE evaluation system.
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