Type
Text
Type
Thesis
Advisor
Ramakrishnan, IV | Fodor, Paul | Borodin, Yevgen.
Date
2016-12-01
Keywords
Natural Language Processing, Skimming | Computer science
Department
Department of Computer Science
Language
en_US
Source
This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.
Identifier
http://hdl.handle.net/11401/77251
Publisher
The Graduate School, Stony Brook University: Stony Brook, NY.
Format
application/pdf
Abstract
This paper is an attempt at describing the priority of skimming in enhancing the lives of the visually impaired and dyslexic. The paper distinguishes summarization from skimming. It speaks of skimming a given blob of text. And with it, arises some unique challenges. So, the paper tries to tackle these challenges by enhancing and speeding up the algorithm. The algorithm breaks down the input into smaller and compact skimmed results, which when used as the input to the algorithm completely fastens the algorithm with a tremendous decrease in run time. The ways of creating the compact skimmed version of the text are described in the paper, at the same time comparing and contrasting the differences between those ways. The paper finally describes the fastest algorithm, its origin and the way to derive the shortest skimmed version to input to the final algorithm. | 23 pages
Recommended Citation
Satpute, Aaswad Anil, "Efficient Skimming of Text" (2016). Stony Brook Theses and Dissertations Collection, 2006-2020 (closed to submissions). 3074.
https://commons.library.stonybrook.edu/stony-brook-theses-and-dissertations-collection/3074