loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors:  Nurwati ; Yudi Santoso and Krisna Adiyarta

Affiliation: Universitas Budi Luhur, Indonesia

Keyword(s): Paraphrasing, Vector Space Model, Precision and Recall

Abstract: Paraphrasing if seen in plain view, does not look like it, so we need a technique or model that can measure the level of similarity between documents that will compare these documents. Vector Space Model is a standard approach model used to find similarities between documents. This study aims to find a system model that can be applied to paraphrase detection applications by utilizing semantic information as a tool that is integrated with the Vector Space Model. This study will use prototyping research strategies. The approach taken in conducting this investigation is to compare the performance of the system prototype developed according to the research hypothesis with a standard prototype that is built according to a standard framework. In its investigation, this research will use Confusion matrix as the most popular tool in evaluating system performance using accuracy performance criteria, namely Precision and Recall. In this way, it is expected that the semantic network model, data structure model, and algorithm that can be integrated with the vector space model to produce a paraphrase detection system that has a perfect performance is expected. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.14.221.113

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nurwati.; Santoso, Y. and Adiyarta, K. (2020). Paraphrase Detection based on Vector Space Model: A Study of Utilization of Semantic Network for Improving Information. In Proceedings of the 1st International Conference on IT, Communication and Technology for Better Life - ICT4BL; ISBN 978-989-758-429-9, SciTePress, pages 172-176. DOI: 10.5220/0008931301720176

@conference{ict4bl20,
author={Nurwati. and Yudi Santoso. and Krisna Adiyarta.},
title={Paraphrase Detection based on Vector Space Model: A Study of Utilization of Semantic Network for Improving Information},
booktitle={Proceedings of the 1st International Conference on IT, Communication and Technology for Better Life - ICT4BL},
year={2020},
pages={172-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008931301720176},
isbn={978-989-758-429-9},
}

TY - CONF

JO - Proceedings of the 1st International Conference on IT, Communication and Technology for Better Life - ICT4BL
TI - Paraphrase Detection based on Vector Space Model: A Study of Utilization of Semantic Network for Improving Information
SN - 978-989-758-429-9
AU - Nurwati.
AU - Santoso, Y.
AU - Adiyarta, K.
PY - 2020
SP - 172
EP - 176
DO - 10.5220/0008931301720176
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic