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NLP for 한글(HAN-GEUL, Korean) words. To find out if a given (Entity, Concept) pair is in IS-A relationship or not. Using word embedding(used pre-trained fastText model) from facebook research. CSI4108 @ Yonsei Univ. Republic of Korea

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.ipynb_checkpoints

.ipynb_checkpoints

 
 

__pycache__

__pycache__

 
 

.gitignore

.gitignore

 
 

LICENSE

LICENSE

 
 

README.md

README.md

 
 

basis.txt

basis.txt

 
 

build_KB.py

build_KB.py

 
 

isa_predict.py

isa_predict.py

 
 

loco_kb.txt

loco_kb.txt

 
 

note.ipynb

note.ipynb

 
 

nounExtract.py

nounExtract.py

 
 

test.py

test.py

 
 

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is-A-relationship-teller

NLP for 한글(HAN-GEUL, Korean) words. To find out if a given (Entity, Concept) pair is in is-a relationship or not. Using word embedding(used pre-trained fastText model) from facebook research. CSI4108 @ Yonsei Univ. Republic of Korea

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Konlpy: fastText: sklearn:

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NLP for 한글(HAN-GEUL, Korean) words. To find out if a given (Entity, Concept) pair is in IS-A relationship or not. Using word embedding(used pre-trained fastText model) from facebook research. CSI4108 @ Yonsei Univ. Republic of Korea

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