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
81
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
プロダクト開発と社内データ活用での、BI×AIの現在地 / Data_Findy
sansan_randd
1
630
AIを使ってテストを楽にする
kworkdev
PRO
0
260
AWSが好きすぎて、41歳でエンジニアになり、AAIを経由してAWSパートナー企業に入った話
yama3133
2
180
AI時代、“平均値”ではいられない
uhyo
8
2.7k
知覚とデザイン
rinchoku
1
630
仕様駆動開発を実現する上流工程におけるAIエージェント活用
sergicalsix
8
3.8k
Oracle Database@Google Cloud:サービス概要のご紹介
oracle4engineer
PRO
0
390
GPUをつかってベクトル検索を扱う手法のお話し~NVIDIA cuVSとCAGRA~
fshuhe
0
220
serverless team topology
_kensh
3
240
GraphRAG グラフDBを使ったLLM生成(自作漫画DBを用いた具体例を用いて)
seaturt1e
1
160
[re:Inent2025事前勉強会(有志で開催)] re:Inventで見つけた人生をちょっと変えるコツ
sh_fk2
1
940
OTEPsで知るOpenTelemetryの未来 / Observability Conference Tokyo 2025
arthur1
0
320
Featured
See All Featured
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Designing Experiences People Love
moore
142
24k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.6k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
253
22k
Context Engineering - Making Every Token Count
addyosmani
8
310
Become a Pro
speakerdeck
PRO
29
5.6k
Reflections from 52 weeks, 52 projects
jeffersonlam
355
21k
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Optimising Largest Contentful Paint
csswizardry
37
3.5k
Balancing Empowerment & Direction
lara
5
700
Art, The Web, and Tiny UX
lynnandtonic
303
21k
Java REST API Framework Comparison - PWX 2021
mraible
34
8.9k
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