2015 | OriginalPaper | Buchkapitel
Textual Similarity for Word Sequences
verfasst von : Fumito Konaka, Takao Miura
Erschienen in: Similarity Search and Applications
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In this work, 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.