Title | ||
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Random Sampling And. Inductive Ability Evaluation Of Word Embedding In Medical Literature |
Abstract | ||
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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 Xie | 1 | 0 | 0.68 |
Mohd Anuaruddin Bin Ahmadon | 2 | 6 | 10.13 |
shingo | 3 | 64 | 31.04 |
Ichiro Toyoshima | 4 | 6 | 2.42 |