Article: Design and development of a concept-based multi-document summarization system for research abstracts
Ou, S., Khoo, C.S.G., & Goh, D. (2008). Design and development of a concept-based multi-document summarization system for research abstracts. Journal of Information Science, 34(3), 308-326. Summary: This paper describes a concept-based multi-document summarization system that was developed to summarize sets of dissertation abstracts in sociology that might be retrieved by an information retrieval system or Web search engine in response to a user query. The summarization method developed in this study is a hybrid method comprising four major steps: Macro-level discourse parsing: An automatic discourse parsing method was developed to segment a dissertation abstract into several macro-level sections and identify which sections contain important research information; Information extraction: An information extraction method was developed to extract research concepts and relationships as well as other kinds of information from the micro-level structure (within sentences); Information integration: An information integration method was developed to integrate similar concepts and relationships...
Article: Automatic multi-document summarization of research abstracts: Design and user evaluation
Ou, S., Khoo, C.S.G., & Goh, D. (2007). Automatic multi-document summarization of research abstracts: Design and user evaluation. Journal of the American Society for Information Science & Technology, 58(10), 1419-1435. Summary: This study developed a method for multi-document summarization of sociology dissertation abstracts. We did not use traditional sentence extraction approaches. Instead, a hybrid summarization method involving both extractive and abstractive techniques was used. This method focused on extracting and integrating similarities and differences across different documents to summarize a set of related documents. The identification of similarities and differences was based more on identifying research concepts and relationships expressed in the text, rather than words, phrases or sentences and rhetorical relations used in previous studies. To do that, the macro-level discourse structure (between sentences and segments) peculiar to sociology dissertation abstracts was analyzed to identify which segments of the text contain more important research information. Then the micro-level...