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
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
300
文献紹介: Similarity-Based Reconstruction Loss for Meaning Representation
yumeto
1
250
Other Decks in Research
See All in Research
Google Cloud Next 2026 DM Recap Agentic Data Cloudを添えて / Google Cloud Next 2026 DM Recap
nnaka2992
0
130
SoftMatcha 2: 1兆語規模コーパスの超高速かつ柔らかい検索
e869120_sub
7
3.8k
全国町字単位空き家率推定データver1.0データ仕様
microbaseinc
0
220
AIエージェント時代のLLM-jpモデルのあるべき姿
k141303
0
620
typst の使い方:言語学を研究する学生のために
gitomochang
0
580
Harness Engineering and Al Agent
kzinmr
3
2k
ハードウェア研究で国際トップ会議を目指す!IROS 2027での論文採択を目指して
ayatokanada
6
3.6k
【ローカルAIに向き合う展示会vol.2】液体時間定数型モジュールを用いた オリジナルの双方向エンコーダーモデルNexteraBERT 推論速度向上検討並びにダウンストリーム評価
rikkabotan7
0
190
EIRによる不正端末のブロッキング 5G時代におけるデバイス識別と不正対策の進化
stellarcraft
0
130
第64回CV・PRML勉強会 論文紹介:Linguistic Priors for Visual Decoupling: Towards Symmetric Vision-Brain Alignment
sokikatayama
0
190
IA for theory
gpeyre
1
400
[ACL 2026 Demo] Fast-MIA: Efficient and Scalable Membership Inference for LLMs
upura
0
110
Featured
See All Featured
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
870
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
370
Leading Effective Engineering Teams in the AI Era
addyosmani
9
2.5k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
30 Presentation Tips
portentint
PRO
1
390
The SEO Collaboration Effect
kristinabergwall1
1
550
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
6
1.2k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
249
1.3M
Abbi's Birthday
coloredviolet
3
9.8k
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
67
58k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
4.7k
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
• •
• •
•
• • •
• • • •
• • • • •
• •
• •
• •
•
• • • •