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
[論紹] DEEP CONTEXTUALIZED WORD REPRESENTATIONS
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
onizuka laboratory
July 11, 2018
Research
90
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
[論紹] DEEP CONTEXTUALIZED WORD REPRESENTATIONS
弊研究室で行なったNAACL読み会の発表資料です。
onizuka laboratory
July 11, 2018
More Decks by onizuka laboratory
See All by onizuka laboratory
Phrase-Based & Neural Unsupervised Machine Translation
onilab
0
130
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
onilab
0
100
Card-660: A Reliable Evaluation Framework for Rare Word Representation Models
onilab
0
47
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
onilab
0
160
Integrating Transformer and Paraphrase Rules for Sentence Simplification
onilab
0
72
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
onilab
0
70
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
onilab
0
110
Modeling Multi-turn Conversation with Deep Utterance Aggregation
onilab
0
100
Learning Semantic Sentence Embeddings using Pair-wise Discriminator
onilab
0
130
Other Decks in Research
See All in Research
HackSick vol.7 LT資料【LLMアーキテクチャ入門・事前学習時の躓き所解説】 スパースなAttention・状態空間モデル
rikkabotan7
0
220
[WebDB2026]セレンディピティ指向推薦システム再考 ―セレンディピティの原義・類型・発生過程に基づく設計指針―
recsyslab
PRO
0
210
The Conductor Pattern -Multi-Granularity Feedback for Creative Agents-
shibuiwilliam
2
110
長時間動画QAにおけるマルチエージェント推論 ・SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration
murakawatakuya
1
230
Physical AIでモデリングはどう変わるか/How Physical AI Will Change Modeling
stktu
0
300
Kaggle|AI Agent Security — しくじり先生、俺みたいになるな
pomcho555
1
120
横浜市長(山中氏)の言動にかかる第三者による調査報告書
sishi2026
0
640
Evaluation génomique des femelles laitières croisées : comprendre la méthode pour accompagner les éleveurs à son utilisation
institutdelelevage
PRO
0
170
山中市政の総括:相反する二つの顔
sishi
0
220
実例から見るLLMのマンガ理解:実務VQAタスクによる長期的文脈と視覚情報の定性評価
kzmssk
0
190
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
satai
3
120
Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
satai
3
180
Featured
See All Featured
brightonSEO & MeasureFest 2025 - Winning Strategies for Black Friday CRO & PPC - Christian Goodrich
cargoodrich
3
870
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
460
jQuery: Nuts, Bolts and Bling
dougneiner
66
8.6k
Between Models and Reality
mayunak
4
500
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
63
46k
WCS-LA-2024
lcolladotor
0
890
Build The Right Thing And Hit Your Dates
maggiecrowley
39
3.5k
DevOps and Value Stream Thinking: Enabling flow, efficiency and business value
helenjbeal
2
410
It's Worth the Effort
3n
188
29k
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
330
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Digital Projects Gone Horribly Wrong (And the UX Pros Who Still Save the Day) - Dean Schuster
uxyall
1
3.4k
Transcript
/""$-:0.*,"* UI+VMZ %&&1$0/5&956"-*;&% 803%3&13&4&/5"5*0/4 (3"%6"5&4$)00-PG*/'03."5*0/4$*&/$&BOE5&$)/0-0(: 04","6/*7 +6/:"5",":"."
1BQFS*/'0 .&1FUFST ./FVNBOO .*ZZFS .(BSEOFS $$MBSL ,-FFBOE-;FUUMFNPZFS l%FFQDPOUFYUVBMJ[FEXPSESFQSFTFOUBUJPOTz *O1SPDFFEJOHTPG/""$-)-5
#FTU1BQFS
$POUFOUT 0WFSWJFX &-.P&NCFEEJOHT GSPN-BOHVBHF.PEFMT &WBMVBUJPO "OBMZTJT
$PODMVTJPO
0WFSWJFX 1SPQPTFBOFXUZQFPGXPSESFQSFTFOUBUJPO&-.P • .PEFMTCPUIPG ØDPNQMFYDIBSBDUFSJTUJDTPGXPSEVTF FH TZOUBYBOETFNBOUJDT Ø)PXUIFTFVTFTWBSZBDSPTTMJOHVJTUJDDPOUFYUT JF UPNPEFMQPMZTFNZ
• #BTFEPOJOUFSOBMTUBUFTPGB#J-45.-BOHVBHFNPEFM • $BOCFFBTJMZUPBEEFEUPFYJTUJOHNPEFMT BOEJNQSPWFUIF405"BDSPTTNBOZUBTLT
$POUFOUT 0WFSWJFX &-.P&NCFEEJOHT GSPN-BOHVBHF.PEFMT &WBMVBUJPO "OBMZTJT
$PODMVTJPO
&-.P&NCFEEJOHT GSPN-BOHVBHF.PEFMT 8PSESFQSFTFOUBUJPOGSPN#J-45.-BOHVBHF.PEFM 1SFUSBJOFE#J-45.-BOHVBHF.PEFM TNBMM DBU -45. -45. -45.
DVUF ɾɾɾ #J-45. #J-45. #J-45. -45. -45. -45. #J-45. #J-45. #J-45. &-.P ! "# "$ "%
#JEJSFDUJPOBMMBOHVBHFNPEFMT 5SBJOCJEJSFDUJPOBM-.CBTFEPO4UBDLFE#J-45. TNBMM DBU -45. -45. -45. DVUF ɾɾɾ
#J-45. #J-45. #J-45. -45. -45. -45. #J-45. #J-45. #J-45. DBU JT FPT !"#$%$&': ) *+, - log 1 2*|2,, … , 2*6,; 89, 8:;<=, 8> + log 1(2*A,, … , 2-; 89, 8:;<=, 8>) 89: Embedding matrix 8:;<=: parameters for LSTMs 8>: parameters for Softmax Layer
&-.P 8PSE3FQSFTFOUBUJPOPGUPLFO!" JTCFMPX !" -45. GPSXBSE -45. GPSXBSE #"
= %& '(, *&,+ '(, *&,+ '(|- = 1, … , 0 = *&,+ '(|- = 0, … , 0 %& '( XPSEFNCFEEJOHT *&,+ '(PVUQVUPG KUI MBZFS LUI DFMM CBDLXBSE -45. CBDLXBSE *&,+ '( *&,+ '( %&,+ '(
&-.P&NCFEEJOHT GSPN-BOHVBHF.PEFMT 0QUJNJ[FUIFXFJHIUPGFBDIIJEEFOMBZFSGPSFBDIUBTL -45. #J-45. -45. #J-45. &-.PL UBTL
! "# "$ "% &' ()*+' ,-.' = ( 0' ; 2,-.' = !,-.' 3 456 7 "4 ,-.'89,; <= >?@>9 TPGUNBYOPSNBMJ[FE XFJHIUT !,-.' XFJHIUGPSFOUJSF &-.P WFDUPS
"QQMZJOH&-.P UPTVQFSWJTFEUBTLT $PODBU &-.P BOEUBTL`TFNCFEEJOHIJEEFOMBZFSPVUQVU &-.PL UBTL 8PSE&NCFEEJOHL &-.PL
UBTL )JEEFO MBZFS PVUQVUL 3// $//
$POUFOUT 0WFSWJFX &-.P&NCFEEJOHT GSPN-BOHVBHF.PEFMT &WBMVBUJPO "OBMZTJT
$PODMVTJPO
5SBJOJOHTFUUJOHT • /PGMBZFSTUBDLJOH MBZFST • /PGUSBJOJOHFQPDIT FQPDIT • -45. VOJUTJ[F
VOJUT • -45. EJNFOTJPO • $PSQVT #JMMJPO8PSE#FODINPSL • "QQMZJOHSFTJEVBMDPOOFDUJPOGPSGJSTUMBZFSUPTFDPOEMBZFS
&WBMVBUJPO3FTVMUT • "QQMZ&-.0UPBTJNQMFCBTFMJOFJOUBTLT 2" 35& 43- $PSFGFSFODF /&3 4FOUJNFOU
• "DIJFWFTDPSFTDPNQBSBCMFUPPSCFUUFSUIBO405"JOBMM
$POUFOUT 0WFSWJFX &-.P&NCFEEJOHT GSPN-BOHVBHF.PEFMT &WBMVBUJPO "OBMZTJT
$PODMVTJPO
8IFSFUPJODMVEF&-.P • *O43- UBTLTQFDJGJDSFQSFTFOUBUJPOJTNPSFJNQPSUBOU UIVT&-.P JOUIFPVUQVUMBZFSJTMPXFGGFDU • 'PSNPEFMTXJUIBUUFOUJPOMBZFSBGUFS3//JUJTFGGFDUJWF UPBEE&-.P
UPUIFPVUQVUPG3//
8IBU*/'0TDBQUVSFECZ&-.P • $PNQBSFEXJUI(MPWF &-.P DBOXFMMDBQUVSFDPOUFYU JOGPSNBUJPO
4BNQMFFGGJDJFODZ • 6TJOH&-.P NBLFT MFBSOJOHNPSFFGGJDJFOU UIBOFYDJTUJOH NPEFM
7JTVBMJ[BUJPOPGMFBSOFEXFJHIUT • 7JTVBMJ[BUJPOPGXFJHIUJOH PG&-.P JOFBDIFOEUBTL • *OJOQVUMBZFS GJSTU#J-45. -BZFSJTNPTUFGGFDUJWF •
*OPVUQVUMBZFS VTJOH JOGPSNBUJPOPGBMMMBZFSTPO BWFSBHF
$POUFOUT 0WFSWJFX &-.P&NCFEEJOHT GSPN-BOHVBHF.PEFMT &WBMVBUJPO "OBMZTJT
$PODMVTJPO
$PODMVTJPO 1SPQPTFEBOFXUZQFPGXPSESFQSFTFOUBUJPO&-.P • .PEFMTCPUIPG ØDPNQMFYDIBSBDUFSJTUJDTPGXPSEVTF FH TZOUBYBOETFNBOUJDT Ø)PXUIFTFVTFTWBSZBDSPTTMJOHVJTUJDDPOUFYUT JF UPNPEFMQPMZTFNZ
• #BTFEPOJOUFSOBMTUBUFTPGB#J-45.-BOHVBHFNPEFM • $BOCFFBTJMZUPBEEFEUPFYJTUJOHNPEFMT BOEJNQSPWFUIF405"BDSPTTNBOZUBTLT