Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
文献紹介: EditNTS: An Neural Programmer-Interpreter...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Yumeto Inaoka
August 08, 2019
Research
440
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
文献紹介: EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
2019/08/08の文献紹介で発表
Yumeto Inaoka
August 08, 2019
More Decks by Yumeto Inaoka
See All by Yumeto Inaoka
文献紹介: Quantity doesn’t buy quality syntax with neural language models
yumeto
1
220
文献紹介: Open Domain Web Keyphrase Extraction Beyond Language Modeling
yumeto
0
290
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
200
文献紹介: Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
yumeto
0
210
文献紹介: PAWS: Paraphrase Adversaries from Word Scrambling
yumeto
0
220
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
330
文献紹介: Decomposable Neural Paraphrase Generation
yumeto
0
260
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
290
文献紹介: Similarity-Based Reconstruction Loss for Meaning Representation
yumeto
1
250
Other Decks in Research
See All in Research
SAKURAONE:An Open Ethernet-based AI HPC System And Its Observed Workload Dynamicsin a Single-Tenant LLM Development Environment
yuukit
1
520
Harness Engineering and Al Agent
kzinmr
3
1.9k
セマンティック通信勉強会 6Gに向けたデバイス間効率的な通信の技術紹介・課題・今後展望
satai
3
270
進学校の生徒にはア行の苗字が多いのか
ozekinote
0
520
人間中心の意思決定支援AI
yukinobaba
PRO
7
3.8k
Ghost in the 7‑Zip: The Shadow of Residential Proxies Creeping into Your Life
nttcom
0
1.8k
[IR Reading 2026春 論文紹介] LLM-based Listwise Reranking under the Effect of Positional Bias (ECIR 2026) /IR-Reading-2026-Spring
koheishinden
PRO
0
310
GLIM とMegaParticles:正規分布近似の限界とタイトカップリング&パーティクルフィルタの進展 / GLIM and MegaParticles : Progress of the distribution representation in SLAM
koide3
0
690
2026年 オープンキャンパス 研究室紹介
junkurihara
0
110
第64回CV・PRML勉強会 論文紹介:Linguistic Priors for Visual Decoupling: Towards Symmetric Vision-Brain Alignment
sokikatayama
0
150
Scalable dynamic origin-destination demand estimation enhanced by high-resolution satellite imagery data
satai
3
400
技術は予測を代補する:スティグレールの三次的記憶論と予測処理パラダイムの交差
ktanishima
0
130
Featured
See All Featured
Writing Fast Ruby
sferik
630
63k
Designing for Performance
lara
611
70k
Docker and Python
trallard
47
4.1k
Being A Developer After 40
akosma
91
590k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
38
3k
Joys of Absence: A Defence of Solitary Play
codingconduct
1
430
Optimising Largest Contentful Paint
csswizardry
37
3.9k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.7k
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
280
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
270
So, you think you're a good person
axbom
PRO
2
2.1k
Transcript
None
None
• • • •
• •
None
None
• • •1:−1 •1:−1 •
• • enc = 1 , … , enc =
ℎ1 enc, … , ℎ enc • = 1 , … , •ℎ enc = LSTMenc 1 , 2 1 ∙ , 2 ∙
• •h enc •ℎ edit 1:−1 • •ℎ edit =
LSTMedit ℎ enc, , ℎ−1 edit, ℎ−1 int • = σ =1 || ℎ = softmax ℎ , ℎ
• •
• •ℎ int = LSTMint ℎ−1 int , −1
• •
• •
•
• • •
• • • •
• • • • •
• •
• •
• •
•
• • • •