Sentence Similarity - A State of Art Approaches

Raju, T Nora; Rahana, P A; Moncy, Raichel; Ajay, Sreedarsana; Nambiar, Sindhya K

doi:10.1109/ic3sis54991.2022.9885721

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Kaundal Et Al Reviewed Two Methods For Calculating1

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2024

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Cited by 4 publications

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“…short text semantic similarity (STSS), a vector space model and a knowledge-based model that used WordNet [7]. In [9]Three approaches have been used…”

Section: Kaundal Et Al Reviewed Two Methods For Calculatingmentioning

confidence: 99%

A Survey of Numerous Text Similarity Approach

Dasgupta¹,

Mishra²,

Karuppasamy³

et al. 2023

IJSRCSEIT

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One of the most common NLP use cases is text similarity. Every domain comes with a variety of use cases. The most common uses of text similarity include finding related articles/news/genres, efficient use of search engines, classification of related issues on any topic, etc. It serves as a framework for many text analytics use cases. Methods to solve text similarity use cases have been around for a while, but the main drawbacks of the old methods are loss of dependency information, difficulty remembering long conversations, exploding gradient problems, etc. Recent advanced deep learning-based models pay attention to both contiguous and distant words, making their learning ability more rigorous. This white paper focuses on various text similarity techniques that can be used in everyday life to solve these use cases.

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“…short text semantic similarity (STSS), a vector space model and a knowledge-based model that used WordNet [7]. In [9]Three approaches have been used…”

Section: Kaundal Et Al Reviewed Two Methods For Calculatingmentioning

confidence: 99%