Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation

Omar Ali; Alexander Gegov; Ella Haig; Rinat Khusainov

doi:10.1109/INISTA52262.2021.9548619

Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation

Omar Ali, Alexander Gegov, Ella Haig, Rinat Khusainov

School of Computing

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

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Abstract

We present fuzzy boundaries, a method of segmenting text whereby we consider a population of boundaries to be in a fuzzy-state. Furthermore, we aim to use this method to present a multifaceted segmentation approach that is applicable across various domains that require the use of text segmentation: Text summerisation, Rhetorical Stricture Theory, sentence-based segmentation, paragraph-based segmentation and search-algorithms that require topic-based querying. The work first outlines the subject domain together with previous work surrounding the topic of text segmentation. We move to discussing the rationale, exploring our motivations for such a method. The model and its composition is then described next along side the direction taken in the implementation of the model. We move to the results and performance of our method concluding finally with a discussion on the benefits and justifications for our propositions.

Original language	English
Title of host publication	2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings
Editors	Zeynep Hilal Kilimci, Tulay Yildirim, Vincenzo Piuri, Ireneusz Czarnowski, David Camacho, Yannis Manolopoulos, Serdar Solak
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781665436038
ISBN (Print)	9781665411622
DOIs	https://doi.org/10.1109/INISTA52262.2021.9548619
Publication status	Published - 30 Sept 2021
Event	2021 International Conference on Innovations in Intelligent SysTems and Applications - Kocaeli, Turkey Duration: 25 Aug 2021 → 27 Aug 2021

Conference

Conference	2021 International Conference on Innovations in Intelligent SysTems and Applications
Abbreviated title	INISTA 2021
Country/Territory	Turkey
City	Kocaeli
Period	25/08/21 → 27/08/21

Keywords

fuzzy systems
rhetorical structure theory
text segmentation

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10.1109/INISTA52262.2021.9548619

Light_Syntax_Parsing_and_Fuzzy_Systems_for_Rhetorical_Structure_Theory_Text_Segmentation__IEEE_INISTA_2021_ (2)
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Accepted author manuscript (Post-print), 219 KB

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Ali, O., Gegov, A., Haig, E., & Khusainov, R. (2021). Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation. In Z. H. Kilimci, T. Yildirim, V. Piuri, I. Czarnowski, D. Camacho, Y. Manolopoulos, & S. Solak (Eds.), 2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INISTA52262.2021.9548619

Ali, Omar ; Gegov, Alexander ; Haig, Ella et al. / Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation. 2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings. editor / Zeynep Hilal Kilimci ; Tulay Yildirim ; Vincenzo Piuri ; Ireneusz Czarnowski ; David Camacho ; Yannis Manolopoulos ; Serdar Solak. Institute of Electrical and Electronics Engineers Inc., 2021.

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Ali, O, Gegov, A , Haig, E & Khusainov, R 2021, Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation. in ZH Kilimci, T Yildirim, V Piuri, I Czarnowski, D Camacho, Y Manolopoulos & S Solak (eds), 2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021 International Conference on Innovations in Intelligent SysTems and Applications, Kocaeli, Turkey, 25/08/21. https://doi.org/10.1109/INISTA52262.2021.9548619

Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation. / Ali, Omar; Gegov, Alexander ; Haig, Ella et al.

2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings. ed. / Zeynep Hilal Kilimci; Tulay Yildirim; Vincenzo Piuri; Ireneusz Czarnowski; David Camacho; Yannis Manolopoulos; Serdar Solak. Institute of Electrical and Electronics Engineers Inc., 2021.

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

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AU - Khusainov, Rinat

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N2 - We present fuzzy boundaries, a method of segmenting text whereby we consider a population of boundaries to be in a fuzzy-state. Furthermore, we aim to use this method to present a multifaceted segmentation approach that is applicable across various domains that require the use of text segmentation: Text summerisation, Rhetorical Stricture Theory, sentence-based segmentation, paragraph-based segmentation and search-algorithms that require topic-based querying. The work first outlines the subject domain together with previous work surrounding the topic of text segmentation. We move to discussing the rationale, exploring our motivations for such a method. The model and its composition is then described next along side the direction taken in the implementation of the model. We move to the results and performance of our method concluding finally with a discussion on the benefits and justifications for our propositions.

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Ali O, Gegov A , Haig E , Khusainov R. Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation. In Kilimci ZH, Yildirim T, Piuri V, Czarnowski I, Camacho D, Manolopoulos Y, Solak S, editors, 2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021 doi: 10.1109/INISTA52262.2021.9548619

Light syntax parsing and fuzzy systems for rhetorical structure theory text segmentation

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Keywords

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