@inproceedings{a02bebda3d6247bb9ad1f23884b4a1e5,
title = "Text segmentation using light syntax parsing and fuzzy systems",
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.",
keywords = "fuzzy systems, text pre-processing, text segmentation",
author = "Omar Ali and Alexander Gegov and Ella Haig and Rinat Khusainov",
year = "2021",
month = aug,
day = "24",
doi = "10.1007/978-3-030-85626-7_5",
language = "English",
isbn = "9783030856250",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer",
pages = "36--43",
editor = "Cengiz Kahraman and Selcuk Cebi and {Cevik Onar}, Sezi and Basar Oztaysi and Tolga, {A. Cagri} and Sari, {Irem Ucal}",
booktitle = "Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference",
note = "International Conference on Intelligent and Fuzzy Systems, INFUS 2021 ; Conference date: 24-08-2021 Through 26-08-2021",
}