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
Learning Word Meta-Embeddings by Autoencoding
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
onizuka laboratory
October 17, 2018
Research
0
45
Learning Word Meta-Embeddings by Autoencoding
弊研究室で行なったCOLING2018読み会の発表資料です。
onizuka laboratory
October 17, 2018
Tweet
Share
More Decks by onizuka laboratory
See All by onizuka laboratory
Phrase-Based & Neural Unsupervised Machine Translation
onilab
0
120
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
onilab
0
72
Card-660: A Reliable Evaluation Framework for Rare Word Representation Models
onilab
0
37
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
onilab
0
130
Integrating Transformer and Paraphrase Rules for Sentence Simplification
onilab
0
61
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
onilab
0
57
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
onilab
0
100
Modeling Multi-turn Conversation with Deep Utterance Aggregation
onilab
0
98
Learning Semantic Sentence Embeddings using Pair-wise Discriminator
onilab
0
120
Other Decks in Research
See All in Research
第66回コンピュータビジョン勉強会@関東 Epona: Autoregressive Diffusion World Model for Autonomous Driving
kentosasaki
0
340
Pythonでジオを使い倒そう! 〜それとFOSS4G Hiroshima 2026のご紹介を少し〜
wata909
0
1.3k
音声感情認識技術の進展と展望
nagase
0
460
An Open and Reproducible Deep Research Agent for Long-Form Question Answering
ikuyamada
0
270
情報技術の社会実装に向けた応用と課題:ニュースメディアの事例から / appmech-jsce 2025
upura
0
310
競合や要望に流されない─B2B SaaSでミニマム要件を決めるリアルな取り組み / Don't be swayed by competitors or requests - A real effort to determine minimum requirements for B2B SaaS
kaminashi
0
720
ドメイン知識がない領域での自然言語処理の始め方
hargon24
1
240
Remote sensing × Multi-modal meta survey
satai
4
710
Community Driveプロジェクト(CDPJ)の中間報告
smartfukushilab1
0
170
大規模言語モデルにおけるData-Centric AIと合成データの活用 / Data-Centric AI and Synthetic Data in Large Language Models
tsurubee
1
490
CoRL2025速報
rpc
4
4.2k
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
satai
3
500
Featured
See All Featured
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.3k
Evolving SEO for Evolving Search Engines
ryanjones
0
120
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
22k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
280
Why Our Code Smells
bkeepers
PRO
340
58k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
830
4 Signs Your Business is Dying
shpigford
187
22k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
240
Utilizing Notion as your number one productivity tool
mfonobong
3
220
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.1k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Transcript
DC BA - -- - - 1
• 2 – 2 – • 2
• ) ) ( - • ) ) ( -
• ) ( - 3
2 2 1 2 1- • , ,2 4
- - - • 5
- 6
G • 0 6 , – 74: 2 51 –
• G 7 Method Bs Lr Epoch !" !# !$ Hidden neurons DAEME 128 0.001 500 1.0 1.0 5.0 600 CAEME 128 0.001 500 1.0 1.0 / 600 AAEME 128 0.001 500 1.0 1.0 / 600
DR • M • • M • E – ,
• B J – M B J 8
• 2 2 • 2 9
• 0 #&/% "1(* +!"1(*$) • "1(*,.
• -' ,. 10