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
0
340
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
Tweet
Share
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
180
文献紹介: Open Domain Web Keyphrase Extraction Beyond Language Modeling
yumeto
0
230
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
160
文献紹介: Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
yumeto
0
170
文献紹介: PAWS: Paraphrase Adversaries from Word Scrambling
yumeto
0
150
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
270
文献紹介: Decomposable Neural Paraphrase Generation
yumeto
0
230
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
220
文献紹介: Similarity-Based Reconstruction Loss for Meaning Representation
yumeto
1
210
Other Decks in Research
See All in Research
EarthMarker: A Visual Prompting Multimodal Large Language Model for Remote Sensing
satai
3
340
ノンパラメトリック分布表現を用いた位置尤度場周辺化によるRTK-GNSSの整数アンビギュイティ推定
aoki_nosse
0
320
LLM-as-a-Judge: 文章をLLMで評価する@教育機関DXシンポ
k141303
3
820
When Submarine Cables Go Dark: Examining the Web Services Resilience Amid Global Internet Disruptions
irvin
0
230
2025年度人工知能学会全国大会チュートリアル講演「深層基盤モデルの数理」
taiji_suzuki
24
15k
実行環境に中立なWebAssemblyライブマイグレーション機構/techtalk-2025spring
chikuwait
0
230
A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis
satai
3
220
rtrec@dbem6
myui
6
880
言語モデルの内部機序:解析と解釈
eumesy
PRO
49
18k
さくらインターネット研究所 アップデート2025年
matsumoto_r
PRO
0
660
業界横断 副業・兼業者の実態調査
fkske
0
180
[輪講] SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
nk35jk
2
550
Featured
See All Featured
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
Side Projects
sachag
455
42k
Building Flexible Design Systems
yeseniaperezcruz
328
39k
Balancing Empowerment & Direction
lara
1
420
A Modern Web Designer's Workflow
chriscoyier
694
190k
Art, The Web, and Tiny UX
lynnandtonic
299
21k
Unsuck your backbone
ammeep
671
58k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
138
34k
Build The Right Thing And Hit Your Dates
maggiecrowley
36
2.8k
GitHub's CSS Performance
jonrohan
1031
460k
It's Worth the Effort
3n
185
28k
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
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
• •
• •
•
• • •
• • • •
• • • • •
• •
• •
• •
•
• • • •