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A flexible keyphrase extraction technique for academic literature

A keyphrase extraction technique endeavors to extract quality keyphrases from a given document, which provide a high-level summary of that document. Except statistical keyphrase extraction approaches, all other approaches are either domain-dependent or require a su�cient amount of training data, whi...

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Main Authors: Gollam, Rabby, Azad, Saiful, Paolo, Casari, Kamal Z., Zamli, Mohammed Mostafizur, Rahman
Format: Conference or Workshop Item
Language:English
English
Published: Elsevier B.V. 2018
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/22468/1/67.%20A%20flexible%20keyphrase%20extraction%20technique%20for%20academic%20literature.pdf
http://umpir.ump.edu.my/id/eprint/22468/2/67.1%20A%20flexible%20keyphrase%20extraction%20technique%20for%20academic%20literature.pdf
http://umpir.ump.edu.my/id/eprint/22468/
https://doi.org/10.1016/j.procs.2018.08.208
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spelling my.ump.umpir.224682018-12-13T03:19:10Z http://umpir.ump.edu.my/id/eprint/22468/ A flexible keyphrase extraction technique for academic literature Gollam, Rabby Azad, Saiful Paolo, Casari Kamal Z., Zamli Mohammed Mostafizur, Rahman QA76 Computer software A keyphrase extraction technique endeavors to extract quality keyphrases from a given document, which provide a high-level summary of that document. Except statistical keyphrase extraction approaches, all other approaches are either domain-dependent or require a su�cient amount of training data, which are rare at present. Therefore, in this paper, a new tree-based automatic keyphrase extraction technique is proposed, which is domain-independent and employs nominal statistical knowledge; but no train data are required. The proposed technique extracts a quality keyphrase through forming a tree from a candidate keyphrase; and later, it is expanded or shrunk or remained in the same state depending on other similar candidate keyphrases. At the end, keyphrases are extracted from the resultant trees based on a value, � (which is the Maturity Index (MI) of a node in the tree), which enables flexibility in this process. A small � value would yield many and/or lengthy keyphrases (greedy approach); whereas, a large � value would yield lower and/or abbreviated keyphrases (conservative approach). Thereby, a user can extract his/her desired-level of keyphrases through tuning � value. The e�ectiveness of the proposed technique is evaluated on an actual corpus, and compared with Rapid Automatic Keyphrase Extraction (RAKE) technique. Elsevier B.V. 2018-09 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22468/1/67.%20A%20flexible%20keyphrase%20extraction%20technique%20for%20academic%20literature.pdf pdf en http://umpir.ump.edu.my/id/eprint/22468/2/67.1%20A%20flexible%20keyphrase%20extraction%20technique%20for%20academic%20literature.pdf Gollam, Rabby and Azad, Saiful and Paolo, Casari and Kamal Z., Zamli and Mohammed Mostafizur, Rahman (2018) A flexible keyphrase extraction technique for academic literature. In: 3rd International Conference on Computer Science and Computational Intelligence 2018, 7 - 8 September 2018 , BINUS University @ Alam SuteraTangerang, Indonesia. pp. 553-563., 135. ISSN 18770509 ISBN 9789811087875 https://doi.org/10.1016/j.procs.2018.08.208
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Gollam, Rabby
Azad, Saiful
Paolo, Casari
Kamal Z., Zamli
Mohammed Mostafizur, Rahman
A flexible keyphrase extraction technique for academic literature
description A keyphrase extraction technique endeavors to extract quality keyphrases from a given document, which provide a high-level summary of that document. Except statistical keyphrase extraction approaches, all other approaches are either domain-dependent or require a su�cient amount of training data, which are rare at present. Therefore, in this paper, a new tree-based automatic keyphrase extraction technique is proposed, which is domain-independent and employs nominal statistical knowledge; but no train data are required. The proposed technique extracts a quality keyphrase through forming a tree from a candidate keyphrase; and later, it is expanded or shrunk or remained in the same state depending on other similar candidate keyphrases. At the end, keyphrases are extracted from the resultant trees based on a value, � (which is the Maturity Index (MI) of a node in the tree), which enables flexibility in this process. A small � value would yield many and/or lengthy keyphrases (greedy approach); whereas, a large � value would yield lower and/or abbreviated keyphrases (conservative approach). Thereby, a user can extract his/her desired-level of keyphrases through tuning � value. The e�ectiveness of the proposed technique is evaluated on an actual corpus, and compared with Rapid Automatic Keyphrase Extraction (RAKE) technique.
format Conference or Workshop Item
author Gollam, Rabby
Azad, Saiful
Paolo, Casari
Kamal Z., Zamli
Mohammed Mostafizur, Rahman
author_facet Gollam, Rabby
Azad, Saiful
Paolo, Casari
Kamal Z., Zamli
Mohammed Mostafizur, Rahman
author_sort Gollam, Rabby
title A flexible keyphrase extraction technique for academic literature
title_short A flexible keyphrase extraction technique for academic literature
title_full A flexible keyphrase extraction technique for academic literature
title_fullStr A flexible keyphrase extraction technique for academic literature
title_full_unstemmed A flexible keyphrase extraction technique for academic literature
title_sort flexible keyphrase extraction technique for academic literature
publisher Elsevier B.V.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22468/1/67.%20A%20flexible%20keyphrase%20extraction%20technique%20for%20academic%20literature.pdf
http://umpir.ump.edu.my/id/eprint/22468/2/67.1%20A%20flexible%20keyphrase%20extraction%20technique%20for%20academic%20literature.pdf
http://umpir.ump.edu.my/id/eprint/22468/
https://doi.org/10.1016/j.procs.2018.08.208
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score 13.211869

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