Live掘金提取器:用于文本提取和测试集合创建的半自动化系统

Matthew Ekstrand-Abueg, Virgil Pavlu, J. Aslam
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引用次数: 5

摘要

Live Nugget Extractor系统为用户提供了一种有效而准确地收集任何网络查询相关信息的方法,而不是提供简单的文档排名列表。该系统利用在线学习程序来推断未被判断的文档的相关性,同时从被判断的文档中提取信息并对其进行排序。这将为文档和文本片段创建一组判断和推断的相关性分数,这些分数可用于测试收集、摘要和其他任务,在这些任务中,需要最少的人力来进行高精度和大型收集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Live nuggets extractor: a semi-automated system for text extraction and test collection creation
The Live Nugget Extractor system provides users with a method of efficiently and accurately collecting relevant information for any web query rather than providing a simple ranked lists of documents. The system utilizes an online learning procedure to infer relevance of unjudged documents while extracting and ranking information from judged documents. This creates a set of judged and inferred relevance scores for both documents and text fragments, which can be used for test collections, summarization, and other tasks where high accuracy and large collections with minimal human effort are needed.
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