NDLI: A study of Chinese text summarization using adaptive clustering of paragraphs

Content Provider	IEEE Xplore Digital Library
Author	Po Hu Tingting He Donghong Ji Meng Wang
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China (Po Hu; Tingting He)
Abstract	Automatic summarization is an important research issue in natural language processing. This paper presents a special summarization method to generate single-document summary with maximum topic completeness and minimum redundancy. It initially implements the semantic-class-based vector representations of various kinds of linguistic units in a document by means of HowNet (an existing ontology), which can improve the representation quality of traditional term-based vector space model in a certain degree. Then, by adopting K-means clustering algorithm as well as a clustering analysis algorithm, we can capture the number of different latent topic regions in a document adoptively. Finally, topic representative sentences are selected from each topic region to form the final summary. In order to evaluate the effectiveness of the proposed summarization method, a novel metric which is known as representation entropy is used for summarization redundancy evaluation. Preliminary experimental results show that the proposed method outperforms the conventional basic summarization method under the evaluation scheme when dealing with diverse genres of Chinese documents with free writing style and flexible topic distribution.
Sponsorship	Wuhan Univ. Univ. of Aizu, Japan Nat. Natural Sci. Found. China IEEE Eng. in Medicine and Biology Soc
Starting Page	1159
Ending Page	1164
File Size	252502
Page Count	6
File Format	PDF
ISBN	0769522165
DOI	10.1109/CIT.2004.1357351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer science Clustering algorithms Ontologies Writing Natural language processing Entropy Partitioning algorithms Internet Helium
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Extracting Partitional Clusters from Heterogeneous Datasets using Mutual Entropy

An intelligent algorithm for automatic document summarization

A Neural Networks-Based graph algorithm for cross-document coreference resolution

CODE (Common Ontology DEvelopment): A Knowledge Integration Approach from Multiple Ontologies

A novel ant clustering algorithm based on cellular automata

A partitioning algorithm for large scale ontologies

A novel clustering algorithm using voronoi diagram

Partition document clustering using ontology approach

Summarization of text clustering based vector space model

A study of Chinese text summarization using adaptive clustering of paragraphs

Similar Documents

Extracting Partitional Clusters from Heterogeneous Datasets using Mutual Entropy

An intelligent algorithm for automatic document summarization

A Neural Networks-Based graph algorithm for cross-document coreference resolution

CODE (Common Ontology DEvelopment): A Knowledge Integration Approach from Multiple Ontologies

A novel ant clustering algorithm based on cellular automata

A partitioning algorithm for large scale ontologies

A novel clustering algorithm using voronoi diagram

Partition document clustering using ontology approach

Summarization of text clustering based vector space model

A study of Chinese text summarization using adaptive clustering of paragraphs