[journal]
M. Sundermeyer
/ 2012
/ LSTM Neural Networks for Language Modeling
/ Interspeech
: 194~197
[confproc]
mykang, bgkim
/ 2015
/ Word Sense Disambiguation using Word2Vec
/ Proceeding of 27th Conference on Human & Cognitive Language Technology
: 81~84
[confproc]
jcshin
/ 2016
/ Homograph Word Sense Disambiguation using Korean Lexical Semantic Map(UWordMap) and Word-Embedding
/ Proceeding of Korean Computer Congress 2016
: 702~704
[other]
D. Yuan
/ 2016
/ Word Sense Disambiguation with Neural Language Models
/ arXivpreprint arXiv:1603.07012
[confproc]
jhmin
/ 2017
/ Study on Word Sense Disambiguation Using Recurrent Neural Network for Korean
/ Proceeding of Winter Conference on Korean Association of Computer Education 2017
: 93~96
[confproc]
jsbae
/ 2015
/ End-to-end Learning of Korean Semantic Role Labeling Using Bidirectional LSTM CRF
/ Proceeding of 42th Winter Conference on Korean Institute of Information Scientists and Engineers
: 566~568
[confproc]
C. Irsoy
/ 2014
/ Opinion Mining with Deep Recurrent Neural Networks
/ Proceedings of 2014 Conference on Empirical Methods in Natural Language Processing
: 720~728
[other]
H. Sak
/ 2014
/ Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition
/ arXiv preprint arXiv:1402.1128
[other]
Junyoung Chung
/ 2014
/ Empirical evaluation of gated recurrent neural networks on sequence modeling
/ arXiv preprint arXiv:1412.3555
[journal]
정순호
/ 2012
/
Inference of Context-Free Grammars using Binary Third-order Recurrent Neural Networks with Genetic Algorithm
/ 한국컴퓨터정보학회논문지
/ 한국컴퓨터정보학회
17(3)
: 11~25
[confproc]
hmkim
/ 2016
/ Syllable-based Korean POS Tagging using POS Distribution and Bidirectional LSTM CRFs
/ Proceeding of 28th Conference on Human & Cognitive Language Technology
: 3~8
[journal]
안성만
/ 2016
/
Deep Learning Architectures and Applications
/ 지능정보연구
/ 한국지능정보시스템학회
22(2)
: 127~142
[journal]
Y. Bengio
/ 1994
/ Learning Long-Term Dependencies with Gradient Descent is Difficult
/ IEEE Transactions on Neural Networks
5(2)
[journal]
강범모
/ 2014
/
Text Context and Word Meaning: Latent Semantic Analysis
/ 언어학
/ 사단법인 한국언어학회
(68)
: 3~34
[web]
/ Gensim
/ https://radimrehurek.com/gensim/models/word2vec.html
[other]
T. Mikolov
/ 2013
/ Efficient estimation of word representations in vector space
/ arXivpreprint arXiv: 1301.3781
[journal]
정명범
/ 2015
/
Color matching application which can help color blind people based on smart phone
/ 한국컴퓨터정보학회논문지
/ 한국컴퓨터정보학회
20(5)
: 65~72
[web]
/ National Institute of Korean Language
/ http://ithub.korean.go.kr
[confproc]
hgkim
/ 2007
/ 21st Century Sejong Modern Korean Corpora: Results and Expectations
/ Proceeding of 19th Conference on Human & Cognitive Language Technology
: 311~316
[confproc]
shchoi
/ 2016
/ On Word Embedding Models and Parameters Optimized for Korean
/ Proceeding of 28th Conference on Human & Cognitive Language Technology
: 252~256
[web]
/ Korean Wikipedia
/ https://ko.wikipedia.org/
[web]
/ Namuwiki
/ https://namu.wiki/
[web]
/ SENSEAVAL-2
/ http://www.hipposmond.com/senseval2/
[web]
/ Keras
/ http://keras.io