NLP 참고자료 모음 (계속 업데이트)

스탠포드 교육 사이트

http://web.stanford.edu/class/cs224n/syllabus.html

http://cs231n.stanford.edu/

Generative 모델 (VAE, GAN, pixel CNN)

https://norman3.github.io/papers/docs/fairseq.html

https://ratsgo.github.io/generative%20model/2018/01/28/VAEs/

http://jaejunyoo.blogspot.com/2017/03/kr-nips-2016-tutorial-summary-nuts-and-bolts-of-building-AI-AndrewNg.html

https://hollobit.github.io/All-About-the-GAN/

분포공부 

http://blog.acronym.co.kr/440?category=455469

http://issactoast.com/95

실시간 유명 논문 사이트

https://ai.google/research/teams/brain

https://deepmind.com/blog/deepmind-papers-nips-2017/

https://research.fb.com/publications/?cat=13

https://www.research.ibm.com/artificial-intelligence/towards-human-level-intelligence/

https://ai.googleblog.com/2018/03/using-machine-learning-to-discover.html

https://korea.googleblog.com/2018/05/IO-2018.html

https://ai.google/research/pubs/?collection=ICLR

synced

https://medium.com/dair-ai/tagged/nlp

네이버

https://www.slideshare.net/NaverEngineering?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview

카카오

https://brunch.co.kr/@kakao-it/155

페북
fairseq
skt
https://www.slideshare.net/NUGU_developers/nugu-conference-2018-b31-1?fbclid=IwAR2c_LSQW1rHRGW76Tk8XZ4-ZmLqwh1BKB5zVcDVx8wEfLDUxPM_aBLqc50

연구실 세미나 (논문 리스트)

http://dmqm.korea.ac.kr/board/view.asp?B_CATEGORY=0&B_CODE=b_papers&tID=105&sID=122&IDX=150&gotopage=1&search_category=&searchstring=

http://www.modulabs.co.kr/DeepLAB_Paper
https://blog.naver.com/PostView.nhn?blogId=hist0134&logNo=221651366440&parentCategoryNo=&categoryNo=21&viewDate=&isShowPopularPosts=true&from=search

이미지처리

https://jayhey.github.io/deep%20learning/2018/02/06/saimese_network/

강화학습
https://openai.com/research/
https://www.youtube.com/watch?v=NGGO0zdzhVQ&feature=push-u&attr_tag=R45uU4WkIyGpmhg9-6

자연어 책
https://kh-kim.gitbook.io/natural-language-processing-with-pytorch/00-cover-9/05-teacher-forcing
https://www.edwith.org/deepnlp/lecture/29208/

가장 최신 자연어 글
https://medium.com/dair-ai/xlnet-outperforms-bert-on-several-nlp-tasks-9ec867bb563b


프레임워크
https://towardsdatascience.com/choose-the-right-transformer-framework-for-you-b7c51737d45
intel nlp
fair seq
fastai
tensor2tensor
openNMT
allenNLP
paddlepaddle



자연어처리 글이 자주 올라오는 곳
https://lovit.github.io/nlp/2018/04/22/implementing_pmi_numpy_practice/ https://lovit.github.io/nlp/2019/05/01/krwordrank_sentence/
https://ratsgo.github.io/

https://bab2min.tistory.com/
http://docs.likejazz.com/search-engine/
https://www.lyrn.ai/2019/03/12/the-evolved-transformer/


검색엔진
https://www.twinword.co.kr/blog/measure-seo-results/


행사
실전자연언어처리튜토리얼
한국어
SKT T-toc
네이버 2019 콜로키움
파이콘
데뷰
한글 및 한국어 정보처리 학술대회