Multi‐document summarization of dissertation abstracts using a variable‐based framework | Zendy

Ou Shiyan | Zendy; Khoo Christopher S. G. | Zendy; Goh Dion H. | Zendy

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Multi‐document summarization of dissertation abstracts using a variable‐based framework

Author(s) -

Ou Shiyan,

Khoo Christopher S. G.,

Goh Dion H.

Publication year - 2003

Publication title -

proceedings of the american society for information science and technology

Language(s) - English

Resource type - Journals

eISSN - 1550-8390

pISSN - 0044-7870

DOI - 10.1002/meet.1450400129

Subject(s) - automatic summarization , computer science , variable (mathematics) , information retrieval , sample (material) , multi document summarization , macro , field (mathematics) , domain (mathematical analysis) , natural language processing , data science , mathematics , mathematical analysis , pure mathematics , programming language , chemistry , chromatography

This paper reports initial work on developing a method for automatic construction of multi‐document summaries of sets of domain‐specific dissertation abstracts. A variable‐based framework for multi‐document summarization of dissertation abstracts in the field of sociology and psychology that makes use of the macro‐level and micro‐level discourse structure of dissertation abstracts as well as cross‐document structure is proposed. The micro‐level structure of problem statements found in a sample of 50 dissertation abstracts was analyzed, and the common features found are described. A list of indicator phrases that denote different aspects of the problem statements is provided.

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