Text segmentation using light syntax parsing and fuzzy systems

Omar Ali; Alexander Gegov; Ella Haig; Rinat Khusainov

doi:10.1007/978-3-030-85626-7_5

Text segmentation using light syntax parsing and fuzzy systems

Omar Ali^*, Alexander Gegov, Ella Haig, Rinat Khusainov

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

We present our positions and proposition in regards to the process of text segmentation. The method discussed below aims to improve upon the current processes available for text segmentation by introducing the concept of fuzzy boundaries. our method of segmenting text concerns a population of boundaries to be in a fuzzy state whereby the decision of boundary insertion is determined by a fuzzy system with syntactic information serving as the inputs. Furthermore, we aim to build on this method in the future with the goal of presenting a multifaceted segmentation approach that is applicable across various domains that require segmentation: Text summarisation, Rhetorical structure theory, sentence-based segmentation and paragraph-based segmentation.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
Editors	Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
Publisher	Springer
Pages	36-43
Number of pages	8
ISBN (Electronic)	9783030856267
ISBN (Print)	9783030856250
DOIs	https://doi.org/10.1007/978-3-030-85626-7_5
Publication status	Published - 24 Aug 2021
Event	International Conference on Intelligent and Fuzzy Systems - Istanbul, Turkey Duration: 24 Aug 2021 → 26 Aug 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	307
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems
Abbreviated title	INFUS 2021
Country/Territory	Turkey
City	Istanbul
Period	24/08/21 → 26/08/21

Keywords

fuzzy systems
text pre-processing
text segmentation

Access to Document

10.1007/978-3-030-85626-7_5

Segmentation_Using_Light_Syntax_Parsing_and_Fuzzy_Systems___Position_Paper__INFUS_2021_
This is a post-peer-review, pre-copyedit version of an article published in Ali O., Gegov A., Haig E., Khusainov R. (2022) Text Segmentation Using Light Syntax Parsing and Fuzzy Systems. In: Kahraman C., Cebi S., Cevik Onar S., Oztaysi B., Tolga A.C., Sari I.U. (eds) Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. INFUS 2021. Lecture Notes in Networks and Systems, vol 307. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-85626-7_5.
Accepted author manuscript (Post-print), 220 KB

Cite this

Ali, O., Gegov, A., Haig, E., & Khusainov, R. (2021). Text segmentation using light syntax parsing and fuzzy systems. In C. Kahraman, S. Cebi, S. Cevik Onar, B. Oztaysi, A. C. Tolga, & I. U. Sari (Eds.), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference (pp. 36-43). (Lecture Notes in Networks and Systems; Vol. 307). Springer. https://doi.org/10.1007/978-3-030-85626-7_5

Ali, Omar ; Gegov, Alexander ; Haig, Ella et al. / Text segmentation using light syntax parsing and fuzzy systems. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. editor / Cengiz Kahraman ; Selcuk Cebi ; Sezi Cevik Onar ; Basar Oztaysi ; A. Cagri Tolga ; Irem Ucal Sari. Springer, 2021. pp. 36-43 (Lecture Notes in Networks and Systems).

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abstract = "We present our positions and proposition in regards to the process of text segmentation. The method discussed below aims to improve upon the current processes available for text segmentation by introducing the concept of fuzzy boundaries. our method of segmenting text concerns a population of boundaries to be in a fuzzy state whereby the decision of boundary insertion is determined by a fuzzy system with syntactic information serving as the inputs. Furthermore, we aim to build on this method in the future with the goal of presenting a multifaceted segmentation approach that is applicable across various domains that require segmentation: Text summarisation, Rhetorical structure theory, sentence-based segmentation and paragraph-based segmentation.",

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booktitle = "Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference",

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Ali, O, Gegov, A , Haig, E & Khusainov, R 2021, Text segmentation using light syntax parsing and fuzzy systems. in C Kahraman, S Cebi, S Cevik Onar, B Oztaysi, AC Tolga & IU Sari (eds), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Lecture Notes in Networks and Systems, vol. 307, Springer, pp. 36-43, International Conference on Intelligent and Fuzzy Systems, Istanbul, Turkey, 24/08/21. https://doi.org/10.1007/978-3-030-85626-7_5

Text segmentation using light syntax parsing and fuzzy systems. / Ali, Omar; Gegov, Alexander ; Haig, Ella et al.
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. ed. / Cengiz Kahraman; Selcuk Cebi; Sezi Cevik Onar; Basar Oztaysi; A. Cagri Tolga; Irem Ucal Sari. Springer, 2021. p. 36-43 (Lecture Notes in Networks and Systems; Vol. 307).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Text segmentation using light syntax parsing and fuzzy systems

AU - Ali, Omar

AU - Gegov, Alexander

AU - Haig, Ella

AU - Khusainov, Rinat

PY - 2021/8/24

Y1 - 2021/8/24

N2 - We present our positions and proposition in regards to the process of text segmentation. The method discussed below aims to improve upon the current processes available for text segmentation by introducing the concept of fuzzy boundaries. our method of segmenting text concerns a population of boundaries to be in a fuzzy state whereby the decision of boundary insertion is determined by a fuzzy system with syntactic information serving as the inputs. Furthermore, we aim to build on this method in the future with the goal of presenting a multifaceted segmentation approach that is applicable across various domains that require segmentation: Text summarisation, Rhetorical structure theory, sentence-based segmentation and paragraph-based segmentation.

AB - We present our positions and proposition in regards to the process of text segmentation. The method discussed below aims to improve upon the current processes available for text segmentation by introducing the concept of fuzzy boundaries. our method of segmenting text concerns a population of boundaries to be in a fuzzy state whereby the decision of boundary insertion is determined by a fuzzy system with syntactic information serving as the inputs. Furthermore, we aim to build on this method in the future with the goal of presenting a multifaceted segmentation approach that is applicable across various domains that require segmentation: Text summarisation, Rhetorical structure theory, sentence-based segmentation and paragraph-based segmentation.

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KW - text pre-processing

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BT - Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference

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A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Tolga, A. Cagri

A2 - Sari, Irem Ucal

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems

Y2 - 24 August 2021 through 26 August 2021

ER -

Ali O, Gegov A , Haig E , Khusainov R. Text segmentation using light syntax parsing and fuzzy systems. In Kahraman C, Cebi S, Cevik Onar S, Oztaysi B, Tolga AC, Sari IU, editors, Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Springer. 2021. p. 36-43. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-85626-7_5

Text segmentation using light syntax parsing and fuzzy systems

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Keywords

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