具有标准函数和间隙统计的自动群集停止

Ted Pedersen, Anagha Kulkarni
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引用次数: 47

摘要

SenseClusters是一个免费的系统,可以聚类相似的上下文。它可以应用于广泛的问题,尽管这里我们关注的是词义和名字辨别。它支持几种不同的方法来自动确定上下文集合应该分组的集群数量。这些可以用来发现一个词在一个大的文本语料库中使用的意义的数量,或者共享相同名称的实体的数量。有三种基于聚类标准函数的度量,另一种基于差距统计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Cluster Stopping with Criterion Functions and the Gap Statistic
SenseClusters is a freely available system that clusters similar contexts. It can be applied to a wide range of problems, although here we focus on word sense and name discrimination. It supports several different measures for automatically determining the number of clusters in which a collection of contexts should be grouped. These can be used to discover the number of senses in which a word is used in a large corpus of text, or the number of entities that share the same name. There are three measures based on clustering criterion functions, and another on the Gap Statistic.
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