Title
Random Sampling And. Inductive Ability Evaluation Of Word Embedding In Medical Literature
Abstract
In the NLP (natural language learning) applied to medical literature semantic analysis, we proposed a method to analysis different data base training result in order to show that RNN with rough set training method can learn some relations between medical nouns. In our previous work, we trained a RNN model by rough set data preprocessing in medical literature analysis. So, we improved the word embedding method by using random sampling and inductive ability evaluation.
Year
DOI
Venue
2019
10.1109/ICCE.2019.8662022
2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)
Keywords
Field
DocType
NLP, RNN, world embedding, random sampling
Computer vision,Computer science,Noun,Data pre-processing,Rough set,Natural language,Artificial intelligence,Natural language processing,Sampling (statistics),Word embedding,Medical literature
Conference
ISSN
Citations 
PageRank 
2158-3994
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Huaze Xie100.68
Mohd Anuaruddin Bin Ahmadon2610.13
shingo36431.04
Ichiro Toyoshima462.42