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https://hdl.handle.net/20.500.14365/3207| Title: | Extracting the Features of Similarity in Short Texts | Authors: | Kisla, Tarik Metin, Senem Kumova Karaoglan, Bahar |
Keywords: | text similarity paraphrase corpus discrimant analysis |
Publisher: | IEEE | Abstract: | Automatic identification of text similarity has found applications in information retrieval, text summarization, assessment of machine translation, assessment of question answering, word sense disambiguation and many more. In this work, the results of discrimant analysis applied to find out the cumulative effect of the attributes used in the literature so far (ratio of common words, text lentgths, common word sequences, synonyms, hypernyms, hyponyms) in detecting word similarity are reported. | Description: | 23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY | URI: | https://hdl.handle.net/20.500.14365/3207 | ISBN: | 978-1-4673-7386-9 | ISSN: | 2165-0608 |
| Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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| File | Size | Format | |
|---|---|---|---|
| 2322.pdf Restricted Access | 254.61 kB | Adobe PDF | View/Open Request a copy |
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