Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping
Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping
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DOI：
10.3758/bf03192778
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发表时间：
2006-05-01
影响因子：
5.4
通讯作者：
Humphreys, Michael S.
中科院分区：
文献类型：
--
作者：
Smith, Andrew E.;Humphreys, Michael S.
lexximancer系统是一种较新的将自然语言中的词汇共现信息以无监督的方式转换为语义模式的方法。它采用语义和关系两个阶段的共现信息提取，每个阶段使用不同的算法。使用的算法是统计的，但它们使用非线性动力学和机器学习。本文尝试使用一组适合于知识发现任务的内容分析评估标准来验证Leximancer的输出。
The Leximancer system is a relatively new method for transforming lexical co-occurrence information from natural language into semantic patterns in an unsupervised manner. It employs two stages of co-occurrence information extraction-semantic and relational-using a different algorithm for each stage. The algorithms used are statistical, but they employ nonlinear dynamics and machine learning. This article is an attempt to validate the output of Leximancer, using a set of evaluation criteria taken from content analysis that are appropriate for knowledge discovery tasks.