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: Decomposable Neural Paraphrase Generation
Search
Yumeto Inaoka
July 23, 2019
Research
0
250
文献紹介: Decomposable Neural Paraphrase Generation
2019/07/23の文献紹介で発表
Yumeto Inaoka
July 23, 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
210
文献紹介: Open Domain Web Keyphrase Extraction Beyond Language Modeling
yumeto
0
270
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
180
文献紹介: Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
yumeto
0
190
文献紹介: PAWS: Paraphrase Adversaries from Word Scrambling
yumeto
0
180
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
310
文献紹介: EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
yumeto
0
380
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
260
文献紹介: Similarity-Based Reconstruction Loss for Meaning Representation
yumeto
1
230
Other Decks in Research
See All in Research
ペットのかわいい瞬間を撮影する オートシャッターAIアプリへの スマートラベリングの適用
mssmkmr
0
380
Aurora Serverless からAurora Serverless v2への課題と知見を論文から読み解く/Understanding the challenges and insights of moving from Aurora Serverless to Aurora Serverless v2 from a paper
bootjp
6
1.5k
LLMアプリケーションの透明性について
fufufukakaka
0
190
ローテーション別のサイドアウト戦略 ~なぜあのローテは回らないのか?~
vball_panda
0
300
生成的情報検索時代におけるAI利用と認知バイアス
trycycle
PRO
0
400
都市交通マスタープランとその後への期待@熊本商工会議所・熊本経済同友会
trafficbrain
0
180
ForestCast: Forecasting Deforestation Risk at Scale with Deep Learning
satai
3
550
2026年3月1日(日)福島「除染土」の公共利用をかんがえる
atsukomasano2026
0
460
台湾モデルに学ぶ詐欺広告対策:市民参加の必要性
dd2030
0
270
2026 東京科学大 情報通信系 研究室紹介 (すずかけ台)
icttitech
0
940
[SITA2025 Workshop] 空中計算による高速・低遅延な分散回帰分析
k_sato
0
130
Can We Teach Logical Reasoning to LLMs? – An Approach Using Synthetic Corpora (AAAI 2026 bridge keynote)
morishtr
1
170
Featured
See All Featured
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.2k
Into the Great Unknown - MozCon
thekraken
40
2.3k
First, design no harm
axbom
PRO
2
1.1k
The Language of Interfaces
destraynor
162
26k
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
470
Design in an AI World
tapps
0
170
Paper Plane
katiecoart
PRO
0
48k
Building an army of robots
kneath
306
46k
Automating Front-end Workflow
addyosmani
1370
200k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.8k
Code Reviewing Like a Champion
maltzj
528
40k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.4k
Transcript
Decomposable Neural Paraphrase Generation
https://arxiv.org/abs/1906.09741
• • • •
• • •
•
• • •
• • •
• •
• • = [1 , … , ] • =
[1 , … , ]
• • • ℎ = BiLSTM( ; ℎ−1 , ℎ+1
) • = LSTM ℎ , −1 ; −1 • = GumbelSoftmax( , )
• • = − encoderz (, ) • 1:−1 ,
= − encoderz , 1:−1
• • 1:−1 , = σ 1:−1 , ( |1:−1
, )
• 0 , 1 • = LSTM 0 ; 1
; −1 ; −1 • 1:−1 , = GumbelSoftmax ,
• • ∗ = 0 ∗ = 1
• • ℒ = σ=1 log 1:−1 , + σ=1
log ∗ + σ=1 log ( ∗ 1:−1 ,
• • •
• •
•
• •
• •
• •
• •
• •
• • From 1(best) to 4(worst)
• • • • •