序列带状结构的语义相似性

2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2015-11-30 DOI:10.1109/PACRIM.2015.7334801

Fumito Konaka, T. Miura

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引用次数: 0

摘要

在这项研究中，我们引入了新的句子相似度，称为欧几里得相似度和Levenshtein相似度，以捕获词序列和语义方面。这对于语义文本相似度(STS)特别有用，这样我们就可以检索SNS文本、短句或包含搭配的东西。我们用一些实验结果证明了我们的方法的有效性。

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Semantic similarity for sequenced shingles

In this investigation, we introduce new kinds of sentence similarity, called Euclid similarity and Levenshtein similarity, to capture both word sequences and semantic aspects. This is especially useful for Semantic Textual Similarity (STS) so that we could retrieve SNS texts, short sentences or something including collocations. We show the usefulness of our approach by some experimental results.

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2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)

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