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Towards More Efficient Screen Reader Web Access with Automatic Summary Generation and Text Tagging

Sarwar, Usama; Eika, Evelyn
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Eika-Summarization2020 R1V15.pdf (987.8Kb)
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https://hdl.handle.net/10642/9662
Utgivelsesdato
2020-09-04
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  • TKD - Institutt for informasjonsteknologi [871]
Originalversjon
Sarwar, Eika H: Towards More Efficient Screen Reader Web Access with Automatic Summary Generation and Text Tagging. In: Miesenberger K, Manduchi R, Rodriguez MC, Peňáz P. ICCHP: International Conference on Computers Helping People with Special Needs, 2020. Springer p. 303-313   https://doi.org/10.1007/978-3-030-58796-3_36
Sammendrag
Readers with 20/20 vision can easily read text and quickly perceive information to get an overview of the information within a text. This is more challenging for readers who rely on screen readers. This study investigated fac-tors affecting successful screen reading in order to shed light on what contributes towards the improvement of screen reading access. Text extraction, summariza-tion, and representation techniques were explored. The goal of this work leads to the development of a new summarization technique, referred to as On Demand Summary Generation and Text Tagging (ODSG&TT). This technique makes use of a summarization algorithm and a text tagging algorithm developed by Algo-rithmia, which enables on the fly and on-demand summarization of text and key-word generation. The focus of the screen reader is transferred to the keywords using a button control. The intention is to provide summaries with minimum user navigation effort to simplify the screen reading process.
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Springer
Serie
Lecture Notes in Computer Science;Volume 12376

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