Exploiting Rhetorical Relations to Multiple Documents Text Summarization
نویسندگان
چکیده
منابع مشابه
Exploiting Rhetorical Relations to Multiple Documents Text Summarization
Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of rhetorical relations to address redundancy problem for cluster-based text summarization of multiple documents. We exploited rhetorical relati...
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Exploiting Rhetorical Relations in Blog Summarization Shamima Mithun, Ph.D. Concordia University, 2012 With the rapid growth of the Social Web, a large amount of informal opinionated texts are available on numerous topics. Natural language tools for automatically analyzing these opinions become necessary to help individuals, organizations, and governments in making timely decisions. A query-bas...
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We propose a method for automatically identifying rhetorical relations. We use supervised machine learning but exploit cue phrases to automatically extract and label training data. Our models draw on a variety of linguistic cues to distinguish between the relations. We show that these feature-rich models outperform the previously suggested bigram models by more than 20%, at least for small trai...
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Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of rhetorical relations to address redundancy problem in text summarization. We first examined and redefined the type of rhetorical relations th...
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ژورنال
عنوان ژورنال: International Journal of Network Security & Its Applications
سال: 2015
ISSN: 0975-2307,0974-9330
DOI: 10.5121/ijnsa.2015.7201