Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/20953
Title: Towards Automated Related Work Summarization
Authors: HOANG CONG DUY VU
Keywords: related work, summarization, generation, scientific articles, automatic, topic analysis
Issue Date: 27-Dec-2010
Source: HOANG CONG DUY VU (2010-12-27). Towards Automated Related Work Summarization. ScholarBank@NUS Repository.
Abstract: This thesis introduces and describes the novel problem of automated related work summarization. Given multiple articles (e.g., conference or journal papers) as input, and a set of keywords that describes a target paper?s topics of interest in a hierarchical fashion, a related work summarization system creates a topic-biased summary of related work specific to the target paper. This thesis has two main contributions. First, I conducted a deep manual analysis on various aspects of related work sections to identify their important characteristics in locating appropriate information for summarization and generation processes. Second, based on the observations from my manual analysis, I have developed my initial prototype Related Work Summarization system, namely ReWoS, which creates its extractive summaries using two different strategies for locating appropriate sentences for general topics as well as detailed ones. The proposed ReWoS system significantly outperforms baseline systems in terms of human evaluation measures designed specific to the task.
URI: http://scholarbank.nus.edu.sg/handle/10635/20953
Appears in Collections:Master's Theses (Open)

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