Improving Readability for Tweet Contextualization using Bipartite Graphs

Amira Dhokar, Lobna Hlaoua, Lotfi Ben Romdhane

Abstract

Tweet contextualization (TC) is a new issue that aims to answer questions of the form What is this tweet about? The idea of this task was imagined as an extension of a previous area called multi-document summarization (MDS), which consists in generating a summary from many sources. In both TC and MDS, the summary should ideally contain most relevant information of the topic that is being discussed in the source texts (for MDS) and related to the query (for TC). Furthermore of being informative, a summary should be coherent, i.e. well written to be readable and grammatically compact. Hence, coherence is an essential characteristic in order to produce comprehensible texts. In this paper, we propose a new approach to improve readability and coherence for tweet contextualization based on bipartite graphs. The main idea of our proposed method is to reorder sentences in a given paragraph by combining most expressive words detection and HITS (Hyperlink- Induced Topic Search) algorithm to make up a coherent context.

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Paper Citation


in Harvard Style

Dhokar A., Hlaoua L. and Ben Romdhane L. (2019). Improving Readability for Tweet Contextualization using Bipartite Graphs.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 60-68. DOI: 10.5220/0007313900600068


in Bibtex Style

@conference{icaart19,
author={Amira Dhokar and Lobna Hlaoua and Lotfi Ben Romdhane},
title={Improving Readability for Tweet Contextualization using Bipartite Graphs},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2019},
pages={60-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007313900600068},
isbn={978-989-758-350-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Improving Readability for Tweet Contextualization using Bipartite Graphs
SN - 978-989-758-350-6
AU - Dhokar A.
AU - Hlaoua L.
AU - Ben Romdhane L.
PY - 2019
SP - 60
EP - 68
DO - 10.5220/0007313900600068