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Sentence Extraction for Automatic Summarization and Notetaking Systems

Name: Sentence Extraction for Automatic Summarization and Notetaking Systems
Brand: VDM Verlag
SKU: 06839713
Price: 61.76 EUR
Availability: InStock
Author: Hamed Khanpour
ISBN: 9783639329971

Applying Cognitive and Computational Linguistic Techniques to Improve Student's Learning Skills

Hamed Khanpour

Език

Английски език

Книга С меки корици

Код Либристо: 06839713

Издателство VDM Verlag, февруари 2011

In this book, we propose both automatic summarization and semi-automatic Notetaking systems as impor... Цялото описание

Код Либристо: 06839713

149 b

61.76 €

120.79 лв

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In this book, we propose both automatic summarization and semi-automatic Notetaking systems as important tools that can engage students in learning activities and improve their learning, namely comprehending and recalling of the study materials. However, they can also be employed by lecturers to evaluate their students' understanding. Many current systems summarize texts by selecting sentences with important content using methods generally known as sentence extraction. To deal with the development of a new sentence extraction method, we delve into text analysis at three levels: word, sentence, and text level analysis. At the word level, we consider word similarity and word disambiguation based on WordNet to compute the value for semantic relatedness. This feature is exploited by the proposed method we have developed for text similarity. For the sentence level, we analyze for its similarity using vector correlation. For text similarity, a cognitive method is used to identify the most important sentence. Our proposed unsupervised sentence extraction method is then used to identify the most salient sentences to produce high quality summarization and notes.