A Model for Identifying Steps in Undergraduate Thesis Methodology

Samuel González-López, A. López-López, Steven Bethard, Jesús Miguel García-Gorrostieta
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Abstract

. Knowledge generation is an important asset of great economic powers, and knowledge societies are a fundamental part in the development of countries. Mexico is a country that is in the process of development and improvement of its education system, according to the Educational Reform promoted since 2012 by the Federal Gov-ernment. We identified an area of opportunity at the undergraduate level to help improve the writing of students, specifically in draft theses and research proposals. This work focuses its efforts on analyzing with natural language processing techniques the ”Methodology” section, an important element for the development of a thesis, that helps the reader to understand if the techniques and data used are appropriate in an investigation. This paper proposes a Model to identify a series of steps in such a section. In addition, preliminary results of a basic exploration of a collected corpus are presented, pre-processing the text to generate a representation according to Language Models. The corpus contains documents of graduate and undergraduate levels in the computer science and information technologies domain. The preliminary results showed that the information extracted from the corpus serves to adequately differentiate the methodologies of both levels.
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本科毕业论文方法论步骤识别模型
。知识创造是经济大国的重要资产,知识社会是国家发展的重要组成部分。根据联邦政府自2012年以来推动的教育改革,墨西哥是一个正在发展和完善其教育体系的国家。我们确定了一个机会的领域,在本科水平,以帮助提高学生的写作,特别是在论文草案和研究计划。这项工作的重点是用自然语言处理技术分析“方法论”部分,这是论文发展的一个重要元素,有助于读者理解在调查中使用的技术和数据是否合适。本文提出了一个模型来确定这一节中的一系列步骤。此外,本文还介绍了对收集的语料库进行基本探索的初步结果,并根据语言模型对文本进行预处理以生成表示。该语料库包含计算机科学和信息技术领域的研究生和本科生水平的文档。初步结果表明,从语料库中提取的信息可以充分区分两个层次的方法。
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