A Unique Indexing Technique for Discourse Structures

Sutra is a form of text representation that has been used in both Tamil and Sanskrit literature to convey information in a short and crisp manner. Nanool, an ancient Tamil grammar masterpiece has used sutras for defining grammar rules. Similarly, in Sanskrit literature, many of the Shāstrās have use...

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Main Authors: Subalalitha Chinnaudayar Navaneethakrishnan, Ranjani Parthasarathi
Format: Article
Language:English
Published: De Gruyter 2014-09-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2013-0034
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spelling doaj-3566a807a0054d14900acdfde181a34e2021-09-06T19:40:35ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2014-09-0123323124310.1515/jisys-2013-0034A Unique Indexing Technique for Discourse StructuresSubalalitha Chinnaudayar Navaneethakrishnan0Ranjani Parthasarathi1Department of Information Science and Technology, College of Engineering, Anna University, Guindy, Chennai, 600025, IndiaDepartment of Information Science and Technology, College of Engineering, Anna University, Guindy, Chennai, 600025, IndiaSutra is a form of text representation that has been used in both Tamil and Sanskrit literature to convey information in a short and crisp manner. Nanool, an ancient Tamil grammar masterpiece has used sutras for defining grammar rules. Similarly, in Sanskrit literature, many of the Shāstrās have used sutras for a concise representation of their content. Sutras are defined as short aphorisms, formulae-like structures that convey the complete essence of the text. They act as indices to the elaborate content they refer to. Inspired by their characteristics, this article proposes an indexing mechanism based on sutras for discourse structures built using rhetorical structure theory (RST) and also using Sangati, a concept proposed in Sanskrit literature. The indices identified by the indexer are ideal for question answering (QA), summary generation, and information retrieval (IR) systems. The indexer has been tested on IR system using 1000 Tamil language text documents. A performance comparison has also been made with one of the existing RST-based indexing technique.https://doi.org/10.1515/jisys-2013-0034indexing discourse structuresrhetorical structure theorysutra-based indexing
collection DOAJ
language English
format Article
sources DOAJ
author Subalalitha Chinnaudayar Navaneethakrishnan
Ranjani Parthasarathi
spellingShingle Subalalitha Chinnaudayar Navaneethakrishnan
Ranjani Parthasarathi
A Unique Indexing Technique for Discourse Structures
Journal of Intelligent Systems
indexing discourse structures
rhetorical structure theory
sutra-based indexing
author_facet Subalalitha Chinnaudayar Navaneethakrishnan
Ranjani Parthasarathi
author_sort Subalalitha Chinnaudayar Navaneethakrishnan
title A Unique Indexing Technique for Discourse Structures
title_short A Unique Indexing Technique for Discourse Structures
title_full A Unique Indexing Technique for Discourse Structures
title_fullStr A Unique Indexing Technique for Discourse Structures
title_full_unstemmed A Unique Indexing Technique for Discourse Structures
title_sort unique indexing technique for discourse structures
publisher De Gruyter
series Journal of Intelligent Systems
issn 0334-1860
2191-026X
publishDate 2014-09-01
description Sutra is a form of text representation that has been used in both Tamil and Sanskrit literature to convey information in a short and crisp manner. Nanool, an ancient Tamil grammar masterpiece has used sutras for defining grammar rules. Similarly, in Sanskrit literature, many of the Shāstrās have used sutras for a concise representation of their content. Sutras are defined as short aphorisms, formulae-like structures that convey the complete essence of the text. They act as indices to the elaborate content they refer to. Inspired by their characteristics, this article proposes an indexing mechanism based on sutras for discourse structures built using rhetorical structure theory (RST) and also using Sangati, a concept proposed in Sanskrit literature. The indices identified by the indexer are ideal for question answering (QA), summary generation, and information retrieval (IR) systems. The indexer has been tested on IR system using 1000 Tamil language text documents. A performance comparison has also been made with one of the existing RST-based indexing technique.
topic indexing discourse structures
rhetorical structure theory
sutra-based indexing
url https://doi.org/10.1515/jisys-2013-0034
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