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Authors: Siddhartha Banerjee 1 ; Nitin Kumar 2 and C. E. Veni Madhavan 2

Affiliations: 1 Indian Institute Of Science, India ; 2 Indian Institute of Science, India

Keyword(s): Mining Text and Semi-structured Data, Text Summarization, Text Simplification.

Abstract: Our goal is to perform automatic simplification of a piece of text to enhance readability. We combine the two processes of summarization and simplification on the input text to effect improvement. We mimic the human acts of incremental learning and progressive refinement. The steps are based on: (i) phrasal units in the parse tree, yield clues (handles) on paraphrasing at a local word/phrase level for simplification, (ii) phrasal units also provide the means for extracting segments of a prototype summary, (iii) dependency lists provide the coherence structures for refining a prototypical summary. A validation and evaluation of a paraphrased text can be carried out by two methodologies: (a) standardized systems of readability, precision and recall measures, (b) human assessments. Our position is that a combined paraphrasing as above, both at lexical (word or phrase) level and a linguistic-semantic (parse tree, dependencies) level, would lead to better readability scores than either approach performed separately. (More)

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Paper citation in several formats:
Banerjee, S.; Kumar, N. and E. Veni Madhavan, C. (2013). Text Simplification for Enhanced Readability. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR; ISBN 978-989-8565-75-4; ISSN 2184-3228, SciTePress, pages 202-207. DOI: 10.5220/0004626102020207

@conference{kdir13,
author={Siddhartha Banerjee. and Nitin Kumar. and C. {E. Veni Madhavan}.},
title={Text Simplification for Enhanced Readability},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR},
year={2013},
pages={202-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004626102020207},
isbn={978-989-8565-75-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR
TI - Text Simplification for Enhanced Readability
SN - 978-989-8565-75-4
IS - 2184-3228
AU - Banerjee, S.
AU - Kumar, N.
AU - E. Veni Madhavan, C.
PY - 2013
SP - 202
EP - 207
DO - 10.5220/0004626102020207
PB - SciTePress

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