Knowledge-Based Extensible Natural Language Interface Technology Program

1989 ◽  
Author(s):  
Jeannette G. Neal
Keyword(s):  
Natural Language ◽  
Technology Program ◽  
Knowledge Based ◽  
Natural Language Interface

KID Designing a Knowledge-Based Natural Language Interface

IEEE Expert ◽  
1987 ◽  
Vol 2 (2) ◽  
pp. 57-71 ◽  
Author(s):  
H. Ishikawa ◽  
Y. Izumida ◽  
T. Yoshino ◽  
T. Hoshiai ◽  
A. Makinouchi
Keyword(s):  
Natural Language ◽  
Knowledge Based ◽  
Natural Language Interface

scholarly journals Evolution of Semantic Similarity—A Survey

2021 ◽  
Vol 54 (2) ◽  
pp. 1-37
Author(s):  
Dhivya Chandrasekaran ◽  
Vijay Mago
Keyword(s):  
Natural Language ◽  
Semantic Similarity ◽  
Language Processing ◽  
Hybrid Methods ◽  
Research Work ◽  
Similarity Measures ◽  
Text Data ◽  
Knowledge Based ◽  
Open Research ◽  
Research Problems

Estimating the semantic similarity between text data is one of the challenging and open research problems in the field of Natural Language Processing (NLP). The versatility of natural language makes it difficult to define rule-based methods for determining semantic similarity measures. To address this issue, various semantic similarity methods have been proposed over the years. This survey article traces the evolution of such methods beginning from traditional NLP techniques such as kernel-based methods to the most recent research work on transformer-based models, categorizing them based on their underlying principles as knowledge-based, corpus-based, deep neural network–based methods, and hybrid methods. Discussing the strengths and weaknesses of each method, this survey provides a comprehensive view of existing systems in place for new researchers to experiment and develop innovative ideas to address the issue of semantic similarity.

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