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Bert-based Braille Summarization of Long Documents

Publication Type : Conference Paper

Publisher : IEEE Xplore

Source : 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-6

Url : https://ieeexplore.ieee.org/document/9579748

ISBN : Electronic ISBN:978-1-7281-8595-8, Print on Demand(PoD) ISBN:978-1-7281-8596-5

Campus : Amritapuri

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Verified : Yes

Year : 2021

Abstract : Availability of accurate document summaries is of paramount importance in our lives, though there is a dearth of such options for the visually challenged people. With a large volume of existing text summarization work dealing with short documents, this work aims to tackle the problem of large document summarization in braille. We propose a novel domain and genre agnostic approach to document summarization in braille using a BERT extractive summarizer. Experimental evaluation of our approach involved a comparison of the generated and reference summaries using ROUGE metrics. Given the lack of robust convertors from English to Braille, another key contribution of our work is the development of a novel English & Braille interconversion library to facilitate further research in this domain.

Cite this Research Publication : K. Yamuna, V. Shriamrut, D. Singh, V. Gopalasamy and V. Menon, "Bert-based Braille Summarization of Long Documents," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-6, doi: 10.1109/ICCCNT51525.2021.9579748.

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