A Comprehensive Analysis of Guided Abstractive Text Summarization
Abstractive summarization is the process of creating a condensed version of the given text document by collating only the important information in it. It also involves structuring the information into sentences that are simple and easy to understand. This paper presents the process that generates an abstractive summary by focusing on a unified model with attribute based Information Extraction (IE) rules and class based templates. Term Frequency/Inverse Document Frequency (TF/IDF) rules are used for classification of the document into several categories. Lexical analysis reduces prolixity, resulting in robust IE rules. Usage of templates for sentence generation makes the summaries information intensive. The IE rules are designed to accommodate the complexities of some Indian languages. This paper analyzes the adaptation of the system methodology over multiple Indian languages and several document categories. It also draws comparison between abstracts generated and summaries obtained by extractive methods.
Keywords: Template based Generation, Language Parsing and Understanding, Information Extraction, Template Selection, Abstractive and Extractive Text Summarizations
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ABOUT THE AUTHORS
Jagadish S Kallimani
Jagadish S Kallimani is pursuing his research in the areas of information extraction, text summarization, speech synthesis and prosody analysis for several Indian regional languages. He has published many papers in national and international conferences and journals in the above areas. He is currently interested in developing hand written rules for word sense disambiguation and CFG for summarization.
Srinivasa K G
Srinivasa K G received his PhD in Computer Science and Engineering from Bangalore University in 2007. He is now working as a professor and Head in the Department of Computer Science and Engineering, M S Ramaiah Institute of Technology, Bangalore. He is the recipient of All India Council for Technical Education - Career Award for Young Teachers, Indian Society of Technical Education – ISGITS National Award for Best Research Work Done by Young Teachers, Institution of Engineers(India) – IEI Young Engineer Award in Computer Engineering, Rajarambapu Patil National Award for Promising Engineering Teacher Award from ISTE - 2012, IMS Singapore – Visiting Scientist Fellowship Award. He has published more than hundred research papers in International Conferences and Journals. He has visited many Universities abroad as a visiting researcher – He has visited University of Oklahoma, USA, Iowa State University, USA, Hong Kong University, Korean University, National University of Singapore are few prominent visits. He has authored two books namely File Structures using C++ by TMH and Soft Computer for Data Mining Applications LNAI Series – Springer. He has been awarded BOYSCAST Fellowship by DST, for conducting collaborative Research with Clouds Laboratory in University of Melbourne in the area of Cloud Computing. He is the principal Investigator for many funded projects from UGC, DRDO, and DST. His research areas include Data Mining, Machine Learning and Cloud Computing.
Eswara Reddy B
Dr. B. Eswara Reddy Graduated in B.Tech (CSE) from Sri Krishna Devaraya University in 1995. He received Masters Degree in M.Tech (Software Engineering), from JNT University, Hyderabad, in 1999. He received Ph.D in Computer Science & Engineering from JNT University, Hyderabad, in 2008. He served as Assistant Professor from 1996 to 2006, Associate professor from 2006 to 2012.He served as Head of the Dept. of CSE during 2010 to 2012. Presently, he has been serving as professor of CSE Dept and Coordinator for Master of Science in Information Technology (MSIT) program, JNTUA (in collaboration with CIHL and CMU). He has been acting as Board of Studies (BoS) – UG Chairman since 2011 to till date for JNT University Anantapur. He has more than 30 Publications in various International Journals and more than 20 Publications in various National and International Conferences. He has authored two books: “Programming with Java published by Pearson/Sanguine Publishers” and “Data Mining: Principles and approaches” published. He has received University Grants Commission-Major Research Project(UGC-MRP) titled ‘Cloud computing framework for rural health care in Indian scenario’ His research interests include Cloud Computing, Pattern Recognition & Image Analysis, Data Warehousing & Mining and Software Engineering. He is a life member of ISTE, IE, ISCA, IAENG and member of CSI, IEEE.
Jagadish S Kallimani
Jagadish S Kallimani is pursuing his research in the areas of information extraction, text summarization, speech synthesis and prosody analysis for several Indian regional languages. He has published many papers in national and international conferences and journals in the above areas. He is currently interested in developing hand written rules for word sense disambiguation and CFG for summarization.
Srinivasa K G
Srinivasa K G received his PhD in Computer Science and Engineering from Bangalore University in 2007. He is now working as a professor and Head in the Department of Computer Science and Engineering, M S Ramaiah Institute of Technology, Bangalore. He is the recipient of All India Council for Technical Education - Career Award for Young Teachers, Indian Society of Technical Education – ISGITS National Award for Best Research Work Done by Young Teachers, Institution of Engineers(India) – IEI Young Engineer Award in Computer Engineering, Rajarambapu Patil National Award for Promising Engineering Teacher Award from ISTE - 2012, IMS Singapore – Visiting Scientist Fellowship Award. He has published more than hundred research papers in International Conferences and Journals. He has visited many Universities abroad as a visiting researcher – He has visited University of Oklahoma, USA, Iowa State University, USA, Hong Kong University, Korean University, National University of Singapore are few prominent visits. He has authored two books namely File Structures using C++ by TMH and Soft Computer for Data Mining Applications LNAI Series – Springer. He has been awarded BOYSCAST Fellowship by DST, for conducting collaborative Research with Clouds Laboratory in University of Melbourne in the area of Cloud Computing. He is the principal Investigator for many funded projects from UGC, DRDO, and DST. His research areas include Data Mining, Machine Learning and Cloud Computing.
Eswara Reddy B
Dr. B. Eswara Reddy Graduated in B.Tech (CSE) from Sri Krishna Devaraya University in 1995. He received Masters Degree in M.Tech (Software Engineering), from JNT University, Hyderabad, in 1999. He received Ph.D in Computer Science & Engineering from JNT University, Hyderabad, in 2008. He served as Assistant Professor from 1996 to 2006, Associate professor from 2006 to 2012.He served as Head of the Dept. of CSE during 2010 to 2012. Presently, he has been serving as professor of CSE Dept and Coordinator for Master of Science in Information Technology (MSIT) program, JNTUA (in collaboration with CIHL and CMU). He has been acting as Board of Studies (BoS) – UG Chairman since 2011 to till date for JNT University Anantapur. He has more than 30 Publications in various International Journals and more than 20 Publications in various National and International Conferences. He has authored two books: “Programming with Java published by Pearson/Sanguine Publishers” and “Data Mining: Principles and approaches” published. He has received University Grants Commission-Major Research Project(UGC-MRP) titled ‘Cloud computing framework for rural health care in Indian scenario’ His research interests include Cloud Computing, Pattern Recognition & Image Analysis, Data Warehousing & Mining and Software Engineering. He is a life member of ISTE, IE, ISCA, IAENG and member of CSI, IEEE.
