Approaches and Strategies to Extract Relevant Terms: How are they being applied?

机译：提取相关术语的方法和策略：如何应用它们？

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One of the goals of the term extraction is to identify and structure relevant information form texts. Despite advances in recent years, there are still several challenges for the development of efficient tools and methods related to this activity. Term extraction in specific domain knowledge is even a more complex issue, because sometimes you cannot rely on an initial vocabulary to support the extraction. Motivated by this question, an exploratory research to identify the approaches and strategies that are being applied to term extraction has been conducted. The main goal was to identify the most significant one. The research began with 174 proposals and finished with 25 that achieved the filter criteria. This research presents the main data related to these selected proposals.

机译：术语提取的目的之一是识别和构造相关的信息表单文本。尽管近年来取得了进步，但与此活动相关的有效工具和方法的开发仍面临一些挑战。特定领域知识中的术语提取甚至是一个更复杂的问题，因为有时您不能依靠初始词汇来支持提取。出于这个问题的动机，已经进行了一项探索性研究，以确定用于术语提取的方法和策略。主要目标是确定最重要的目标。该研究从174个建议开始，最后有25个达到过滤条件的建议。这项研究提出了与这些选定建议有关的主要数据。

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《International conference on artificial intelligence》|2015年|478-484|共7页
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J. Valaski; S. Reinehr; A. Malucelli;
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Relevant Term; Term Extraction; Exploratory Research; Domain Knowledge;

机译：相关条款;术语提取;探索性研究;领域知识;

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Approaches and Strategies to Extract Relevant Terms: How are they being applied?

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