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 Dual Retrieval Module for Semi-supervi...
Search
Ryusuke_Tanaka
October 01, 2019
Technology
0
80
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
Tweet
Share
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
1.7k
An Effective Approach to Unsupervised Machine Translationの紹介
ryusuketa
0
120
Universal Decompositional Semantics on Universal Dependencies
ryusuketa
0
85
動画視聴を整数倍(最大値)で_効率化するchrome extension作った
ryusuketa
0
80
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
580
Other Decks in Technology
See All in Technology
やる気のない自分との向き合い方/How to Deal with Your Unmotivated Self
sanogemaru
0
470
『OCI で学ぶクラウドネイティブ 実践 × 理論ガイド』 書籍概要
oracle4engineer
PRO
3
200
業務効率化をさらに加速させる、ノーコードツールとStep Functionsのハイブリッド化
smt7174
2
130
衛星画像超解像化によって実現する2D, 3D空間情報の即時生成と“AI as a Service”/ Real-time generation spatial data enabled_by satellite image super-resolution
lehupa
0
140
セキュアな認可付きリモートMCPサーバーをAWSマネージドサービスでつくろう! / Let's build an OAuth protected remote MCP server based on AWS managed services
kaminashi
3
280
実装で解き明かす並行処理の歴史
zozotech
PRO
1
690
関係性が駆動するアジャイル──GPTに人格を与えたら、対話を通してふりかえりを習慣化できた話
mhlyc
0
140
ACA でMAGI システムを社内で展開しようとした話
mappie_kochi
1
310
20251014_Pythonを実務で徹底的に使いこなした話
ippei0923
0
150
「使い方教えて」「事例教えて」じゃもう遅い! Microsoft 365 Copilot を触り倒そう!
taichinakamura
0
320
[Keynote] What do you need to know about DevEx in 2025
salaboy
0
160
能登半島災害現場エンジニアクロストーク 【JAWS FESTA 2025 in 金沢】
ditccsugii
0
370
Featured
See All Featured
Rebuilding a faster, lazier Slack
samanthasiow
84
9.2k
Building a Scalable Design System with Sketch
lauravandoore
463
33k
Why Our Code Smells
bkeepers
PRO
339
57k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
114
20k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
45
2.5k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.6k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.4k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
23
1.5k
Into the Great Unknown - MozCon
thekraken
40
2.1k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.2k
For a Future-Friendly Web
brad_frost
180
9.9k
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