遇见数据集

Evaluation of selection criteria for noun phrases with relevance for information retrieval

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NIAID Data Ecosystem2026-03-10 收录
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Abstract This study assesses the criteria for selecting the most representative noun phrases from documents written in Portuguese in the field of law. The research methods were literature review and an experiment. In the experiment, ten selection criteria were applied to noun phrases extracted from a set of abstracts of theses and dissertations. The effectiveness of the criteria was assessed regarding the selection of noun phrases relevant for information retrieval. Through the experiment, the most effective criteria identified were removal of noun phrases with stopwords value or noun phrases containing pronouns, the selection criteria of noun phrases based on position of occurrence, level of the noun phrase, inverse document frequency, and document occurrence frequency.

摘要:本研究针对法学领域的葡萄牙语文本,评估了从中选取最具代表性名词短语的筛选标准。本研究采用文献综述与实验研究相结合的方法。在实验环节中,研究团队将十种选取准则应用于从一批硕士与博士学位论文摘要中提取的名词短语;针对信息检索任务所需的相关名词短语选取场景,评估了各准则的有效性。经本次实验验证,效果最优的筛选准则包括:移除含停用词(stopwords)或代词的名词短语;基于出现位置、名词短语层级、逆文档频率(inverse document frequency)以及文档出现频率开展名词短语选取的规则。

创建时间:
2018-08-01
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