Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Card-660: A Reliable Evaluation Framework for R...
Search
onizuka laboratory
December 18, 2018
Research
0
36
Card-660: A Reliable Evaluation Framework for Rare Word Representation Models
弊研究室で行なったEMNLP2018読み会の発表資料です。
onizuka laboratory
December 18, 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
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
SGM: Sequence Generation Model for Multi-Label Classification
onilab
0
80
Other Decks in Research
See All in Research
湯村研究室の紹介2025 / yumulab2025
yumulab
0
240
投資戦略202508
pw
0
580
第二言語習得研究における 明示的・暗示的知識の再検討:この分類は何に役に立つか,何に役に立たないか
tam07pb915
0
400
When Learned Data Structures Meet Computer Vision
matsui_528
1
1.4k
多言語カスタマーインタビューの“壁”を越える~PMと生成AIの共創~ 株式会社ジグザグ 松野 亘
watarumatsuno
0
170
J-RAGBench: 日本語RAGにおける Generator評価ベンチマークの構築
koki_itai
0
1.1k
HoliTracer:Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery
satai
3
320
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
satai
3
530
病院向け生成AIプロダクト開発の実践と課題
hagino3000
0
440
学習型データ構造:機械学習を内包する新しいデータ構造の設計と解析
matsui_528
4
2k
スキマバイトサービスにおける現場起点でのデザインアプローチ
yoshioshingyouji
0
270
論文紹介: ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
hisaokatsumi
0
140
Featured
See All Featured
Product Roadmaps are Hard
iamctodd
PRO
55
12k
How to Ace a Technical Interview
jacobian
280
24k
Why Our Code Smells
bkeepers
PRO
340
57k
The Cost Of JavaScript in 2023
addyosmani
55
9.3k
The Illustrated Children's Guide to Kubernetes
chrisshort
51
51k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
34k
Art, The Web, and Tiny UX
lynnandtonic
303
21k
Building an army of robots
kneath
306
46k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.1k
Designing for Performance
lara
610
69k
Code Reviewing Like a Champion
maltzj
527
40k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.8k
Transcript
- 0
R MNP 1 6A : 16 : C 6 6
: L 6 1: 6 : :B8 A6 C B :EI:B C 1:D : :B 6 CB C : -0 C 6AA6 26 : 0 : 6 A 6 6 8 C 0 C C C : C : B : K C 6A : 1
>) • :06*- " • :06*-81 4 • =7
!;54 • ,396#<(,%+$' / !;5& 2. 2
)$(!*, • #, ,'+,365 – ;?F1 D@7= B149C –
:AE4%+!*,< :AE4.8 – &"2 -0>/ 3
P • • 2 • 0 6 8 • -
• - - 814 4
5
6
# • " • –
! 7
• •
8
• • 9
• • 10
• 8.4)7/+ !2 0, • ;6 !"
&93( "!5#$% • 8.41: '* 8.41: '* - 11