23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYWOS: 000380500900024Automatic 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.Dept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Uni
Computing the semantic similarity between terms (or short text expressions) that have the same meani...
This paper presents a method for measuring the semantic similarity of texts, using corpus-based and ...
2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antal...
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 thro...
We present a new composite similarity metric that combines information from multiple linguistic indi...
Short snippets of written text play a central role in our day-to-day communication—SMS and email mes...
The massive amount of information from the internet has revolutionized the field of natural language...
We present a comprehensive study of computing similarity between texts. We start from the observatio...
21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS...
This paper presents a method for measuring the semantic similarity of texts using a corpus based mea...
This paper reports experiments on a corpus of news articles from the Financial Times, comparing diff...
Computing the semantic similarity between terms (or short text expressions) that have the same mean...
Word similarity is a semantic measure that evaluates the similarity of words. The goal of the master...
This article discusses corpus-based and knowledge-based measures of text semantic similarity
This paper reports experiments on a corpus of news articles from the Financial Times, comparing diff...
Computing the semantic similarity between terms (or short text expressions) that have the same meani...
This paper presents a method for measuring the semantic similarity of texts, using corpus-based and ...
2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antal...
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 thro...
We present a new composite similarity metric that combines information from multiple linguistic indi...
Short snippets of written text play a central role in our day-to-day communication—SMS and email mes...
The massive amount of information from the internet has revolutionized the field of natural language...
We present a comprehensive study of computing similarity between texts. We start from the observatio...
21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS...
This paper presents a method for measuring the semantic similarity of texts using a corpus based mea...
This paper reports experiments on a corpus of news articles from the Financial Times, comparing diff...
Computing the semantic similarity between terms (or short text expressions) that have the same mean...
Word similarity is a semantic measure that evaluates the similarity of words. The goal of the master...
This article discusses corpus-based and knowledge-based measures of text semantic similarity
This paper reports experiments on a corpus of news articles from the Financial Times, comparing diff...
Computing the semantic similarity between terms (or short text expressions) that have the same meani...
This paper presents a method for measuring the semantic similarity of texts, using corpus-based and ...
2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antal...