Bookcover of Statistical and Semantic Similarity between English Sentences
Booktitle:

Statistical and Semantic Similarity between English Sentences

LAP LAMBERT Academic Publishing (2014-10-22 )

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ISBN-13:

978-3-659-61638-9

ISBN-10:
3659616389
EAN:
9783659616389
Book language:
English
Blurb/Shorttext:
This book presents various algorithms to compute semantic similarities between english texts. I explored three different algorithms for computing English sentence similarity. The first algorithm, which is well-explored in the literature [Salton and Buckley, 1988, Wu and Salton, 1981], weights words in each sentence according to term frequency and inverse document frequency (tf-idf ) and uses no semantic information. The second algorithm uses measures of the semantic distance between words belonging to the same part of speech. The third algorithm combines the tf-idf scores and the semantic distance scores between words. I evaluated the performance of the second and third algorithms on two data sets: O’Shea’s set of sentence pairs with human similarity judgements [Li et al., Aug, Rubenstein and Goodenough, 1965], and Microsoft Research’s sentence-level paraphrase dataset [Rus et al., 2012]. On O’Shea’s data set, the third algorithm more accurately matches human judgments than the second. On the Microsoft data set, there was not a significant difference between the two algorithms
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Anis Zaman
Number of pages:
72
Published on:
2014-10-22
Stock:
Available
Category:
Informatics
Price:
39.90 €
Keywords:
Natural Language Processing, NLP, WordNet, Word sense disambiguation

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