A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences
This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information r...
Saved in:
Main Authors: | Ming Che Lee, Jia Wei Chang, Tung Cheng Hsieh |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/437162 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Measurement of Chinese Sentence Semantic Complexity
by: Shuqin Zhu, et al.
Published: (2020-01-01) -
From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity
by: Mingxin Gan, et al.
Published: (2013-01-01) -
Improvement and Analysis of Semantic Similarity Algorithm Based on Linguistic Concept Structure
by: Shan Xiao, et al.
Published: (2021-01-01) -
Sentence Embedding Based Semantic Clustering Approach for Discussion Thread Summarization
by: Atif Khan, et al.
Published: (2020-01-01) -
State of Art for Semantic Analysis of Natural Language Processing
by: Dastan Hussen Maulud, et al.
Published: (2021-03-01)