A novel hybrid methodology for computing semantic similarity between sentences through various word senses
In the area of natural language processing, measuring sentence similarity is an essential problem. Searching for semantic meaning in natural language is a related issue. The task of measuring sentence similarity is to find semantic symmetry in two sentences, not matter how they are arranged. It is i...
Main Authors: | Farooq Ahmad, Dr. Mohammad Faisal |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2022-06-01
|
Series: | International Journal of Cognitive Computing in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666307422000055 |
Similar Items
-
An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia
by: Fei Li, et al.
Published: (2020-01-01) -
Enhancing Accuracy of Semantic Relatedness Measurement by Word Single-Meaning Embeddings
by: Xiaotao Li, et al.
Published: (2021-01-01) -
Semantic Management Systems for the Material Support of E-learning Platforms
by: Vincenzo Di Lecce, et al.
Published: (2010-09-01) -
The semantic similarity ensemble
by: Andrea Ballatore, et al.
Published: (2013-12-01) -
Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition
by: Marek Maziarz, et al.
Published: (2015-11-01)