Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Learning Dual Retrieval Module for Semi-supervi...
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Ryusuke_Tanaka
October 01, 2019
Technology
110
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Learning Dual Retrieval Module for Semi-supervised Relation Extractionの紹介
Learning Dual Retrieval Module for Semi-supervised Relation Extractionの紹介です。
Ryusuke_Tanaka
October 01, 2019
More Decks by Ryusuke_Tanaka
See All by Ryusuke_Tanaka
医師向けQAサイトのための推薦システム開発
ryusuketa
1
1.8k
An Effective Approach to Unsupervised Machine Translationの紹介
ryusuketa
0
130
Universal Decompositional Semantics on Universal Dependencies
ryusuketa
0
100
動画視聴を整数倍(最大値)で_効率化するchrome extension作った
ryusuketa
0
92
双曲空間への単語埋め込みと QAサービスでの自然言語処理を 用いた推薦システムについて
ryusuketa
0
680
Other Decks in Technology
See All in Technology
⾮構造化データを価値に変える AI エージェント基盤とその組織
ivry_presentationmaterials
0
190
Rust で関数型ドメインモデリング
takonda
0
140
オントロジーって 結局なにもの? AI エージェントに「意味」を渡す知識設計の話
greenmidori
0
200
Persisting Massive Data with Rails ~Designing for 60 billion rows, and fighting the bottlenecks~ Railsで挑む大量データ永続化 〜600億件を永続化するための設計とボトルネックとの戦い〜
occhi
0
730
古い指輪から広がった JAVA コミュニティ とのつながり
yamad
0
110
hackers_champloo_2026_tidb
makocchi
0
160
LambdaWebFunctionsを試してみた / exploring-lambda-web-functions
koukihosaka
1
340
NDIでApple Vision Proにリアルタイム映像送信
jyouryuusui
0
120
CTO Night|NotionのAIエージェントとFDE
kzkhykw1991
0
130
S3 Filesで挑む! 八戸せんべい汁の食べ頃問題
usanchuu
0
100
How to Design Configuration for Rails Applications
willnet
1
800
PHPカンファレンス関西の招待状 / Invitation to PHP Conference Kansai
ykanoh
0
130
Featured
See All Featured
Designing for Timeless Needs
cassininazir
1
530
The Language of Interfaces
destraynor
162
27k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
450
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1.3k
Code Reviewing Like a Champion
maltzj
529
40k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.6k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.9k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
940
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
7k
Information Architects: The Missing Link in Design Systems
soysaucechin
1
1.2k
New Earth Scene 8
popppiees
4
2.7k
Transcript
Learning Dual Retrieval Module for Semi- supervised Relation Extraction
h$>Y 4X?f7]Oc=l ,)8#d 4,),)l9N#e 4,)kl9NiI!,)8aKTD,)`m#G p]Oc=l9N.5, C6f7:j !+*%#ogH _L
! nB" bB" c=:j nB" ,)# q 4l9S<4PES<,+(U\ 4l9#6,) FBkeyword matching^A;^VZ@ 4l9103(&2#-'+/J R ! rlearning-to-rank#d WQZM[N
Introduction 5$-%/" entity 5$+-% 63#'47 ,1 .*)2&.*)2distant supervision0( !
self-training self-training: %" ,!-$unlabeled (*#. )
, proposed: '+& ,self-training-
relation relation
: relation prediction relation retrieval :unlabelled
Prediction !
! learning-to-rank" Pointwise Approach:
Pairwise Approach :
Unlabeled& ". unlabeled self-training & %, * →+(%,
→& ".)# /". !'$ )- EM
TACRED:
None