Abstract
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.
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© 2015 Springer International Publishing Switzerland
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Konaka, F., Miura, T. (2015). Textual Similarity for Word Sequences. In: Amato, G., Connor, R., Falchi, F., Gennaro, C. (eds) Similarity Search and Applications. SISAP 2015. Lecture Notes in Computer Science(), vol 9371. Springer, Cham. https://doi.org/10.1007/978-3-319-25087-8_23
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DOI: https://doi.org/10.1007/978-3-319-25087-8_23
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25086-1
Online ISBN: 978-3-319-25087-8
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