Title: Localised topic information extraction for summarisation using syntactic sequences

Authors: Paul Villavicencio; Toyohide Watanabe

Addresses: Graduate School of Information Science, Nagoya University, Furo-Cho, Chikusa-Ku, Nagoya 464-8603, Japan. ' Graduate School of Information Science, Nagoya University, Furo-Cho, Chikusa-Ku, Nagoya 464-8603, Japan

Abstract: In order to support the processes of reading digital research articles, we propose a summarisation method focused on using the localised topic information of documents. The objective is to produce summaries containing topics which are detailed in a document rather than those representing a general overview. We obtain the summaries by ranking sentences based on key-terms cooccurring throughout the document structure, and key-terms within the syntactic structure of sentences. Our idea of using the concept of syntactic structures is that authors usually have their own writing styles, represented by grammatical structures. In this paper we present a description of the method along with an evaluation, comparing our method to other existing summarisation methods.

Keywords: text summarisation; syntactic sequences; localised topic information; information extraction; digital articles; research articles; article summaries; sentence ranking; document structure; key terms; keywords; writing styles; grammatical structures; subject information; subjects; topics; information retrieval.

DOI: 10.1504/IJKWI.2012.050853

International Journal of Knowledge and Web Intelligence, 2012 Vol.3 No.3, pp.224 - 236

Received: 01 Oct 2011
Accepted: 27 Feb 2012
Published online: 04 Sep 2014 *

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