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To Distinguish Full and Short Papers using Commonness of Words

Published:14 October 2021Publication History

ABSTRACT

Our eventual goal regarding this study is to support students with developing paper-writing skill. In order to achieve this goal, we have been trying to find characteristic features of good papers through analyzing educational and other kinds of data. We take conference papers as target data and suppose full/regular papers are good because they are chosen as reviewers evaluate them more valuable to be presented in the conference than other papers. In our series of study, we have been surveying the differences of full and short papers. In this paper, we aim to investigate further differences of them by taking different analysis method. We have been using the numbers of occurrences of each word in full/short papers as the data for analysis. In this paper we use the numbers of full/short papers that contain the word instead of the total numbers of occurrences of words. We define a new index of a word which shows how likely it is used in full or short papers. We discuss its effectiveness by applying it to an experiment of distinguishing full and short papers.

References

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  • Published in

    cover image ACM Other conferences
    ICCMS '21: Proceedings of the 13th International Conference on Computer Modeling and Simulation
    June 2021
    276 pages
    ISBN:9781450389792
    DOI:10.1145/3474963

    Copyright © 2021 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 14 October 2021

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