NDLI: Sentence Features Fusion for Text Summarization Using Fuzzy Logic

Content Provider	IEEE Xplore Digital Library
Author	Suanmali, L. Binwahlan, M.S. Salim, N.
Copyright Year	2009
Abstract	The scoring mechanism of the text features is the unique way for determining the key ideas in the text to be presented as text summary. The efficiency of the technique used for scoring the text sentences could produce good summary. The feature scores are imprecise and uncertain, this marks the differentiation between the important features and unimportant is difficult task. In this paper, we introduce fuzzy logic to deal with this problem. Our approach used important features based on fuzzy logic to extract the sentences. In our experiment, we used 30 test documents in DUC2002 data set. Each document is prepared by preprocessing process: sentence segmentation, tokenization, removing stop word, and word stemming. Then, we use 9 important features and calculate their score for each sentence. We propose a method using fuzzy logic for sentence extraction and compare our results with the baseline summarizer and Microsoft Word 2007 summarizers. The results show that the highest average precision, recall, and F-measure for the summaries were obtained from fuzzy method.
Starting Page	142
Ending Page	146
File Size	503414
Page Count	5
File Format	PDF
ISBN	9780769537450
DOI	10.1109/HIS.2009.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Humans fuzzy logic Multivalued logic text summarization Data mining Fuzzy logic Fuzzy sets sentence features Genetic programming Frequency Fuzzy reasoning Hybrid intelligent systems
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

Feature-Based Sentence Extraction Using Fuzzy Inference Rules

Automatic Text Summarization Using Hybrid Fuzzy GA-GP

Fuzzy logic based tools for classification and reasoning with uncertainty

Fuzzy connectionist expert systems

Fuzzy-Rough Set Aided Sentence Extraction Summarization

Rule based fuzzy logic inferencing

From fuzzy logic to fuzzy truth-valued logic for expert systems: a survey

On logical and algebraic foundations of approximate reasoning

Uncertainty reasoning based on filter of lattice implication algebra

Sentence Features Fusion for Text Summarization Using Fuzzy Logic

Similar Documents

Feature-Based Sentence Extraction Using Fuzzy Inference Rules

Automatic Text Summarization Using Hybrid Fuzzy GA-GP

Fuzzy logic based tools for classification and reasoning with uncertainty

Fuzzy connectionist expert systems

Fuzzy-Rough Set Aided Sentence Extraction Summarization

Rule based fuzzy logic inferencing

From fuzzy logic to fuzzy truth-valued logic for expert systems: a survey

On logical and algebraic foundations of approximate reasoning

Uncertainty reasoning based on filter of lattice implication algebra

Sentence Features Fusion for Text Summarization Using Fuzzy Logic