Sentence similarity measures for essay coherence

Sentence similarity measures for essay coherence
复制标题

论文连贯性的句子相似性度量

DOI:
--
复制
发表时间:
2007
期刊:
--
影响因子:
--
通讯作者:
J. Burstein
J. Burstein
中科院分区:
--
文献类型:
--
作者:
J. Burstein

文献摘要

参考文献

被引文献

相似文献

本文介绍了使用不同的方法来预测一种特定类型的语篇连贯的语义相似度计算。我们表明,随机索引可以用来定位在语义空间中的文档以及术语,但不是通过直接求和项向量。使用语义空间的数学翻译,我们能够使用随机索引来评估文本连贯性以及LSA,但计算开销要低得多。
This paper describes the use of different methods for semantic similarity calculation for predicting a specific type of textual coherence. We show that Random Indexing can be used to locate documents in a semantic space as well as terms, but not by straightforwardly summing term vectors. Using a mathematical translation of the semantic space, we are able to use Random Indexing to assess textual coherence as well as LSA, but with considerably lower computational overhead.
DOI: --
发表时间: 2000
期刊: --
影响因子: --
作者:
P. Kanerva;Jan Kristoferson;Anders Holst
通讯作者: P. Kanerva;Jan Kristoferson;Anders Holst