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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3186

Title: TOPIC SUMMARIZATION AND CONTENT ANATOMY
Authors: Shimy Joseph
Keywords: Topic anatomy, topic summarization, temporal, theme, event.
Issue Date: 26-May-2011
Abstract: A topic is defined as a seminal event or activity along with all directly related events and activities. It is represented as a chronological sequence of documents by different authors published on the Internet. Topic anatomy summarizes and associates core parts of a topic graphically so that readers can understand the content easily. TSCAN, an anatomy model derives the major themes of a topic from the eigenvectors of a temporal block association matrix. Then, the significant events of the themes and their summaries are extracted by examining the constitution of the eigenvectors. Finally, the extracted events are associated through their temporal closeness and context similarity to form the evolution graph of the topic. Experiments based on the official TDT4 corpus demonstrate that the generated evolution graphs comprehensibly describe the storylines of topics.
URI: http://hdl.handle.net/123456789/3186
Appears in Collections:MTech 2010-2012 Batch

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