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
文献紹介: Query and Output: Generating Words by Que...
Search
Yumeto Inaoka
July 20, 2018
Research
1
170
文献紹介: Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
2018/07/20の文献紹介で発表
Yumeto Inaoka
July 20, 2018
Tweet
Share
More Decks by Yumeto Inaoka
See All by Yumeto Inaoka
文献紹介: Quantity doesn’t buy quality syntax with neural language models
yumeto
1
150
文献紹介: Open Domain Web Keyphrase Extraction Beyond Language Modeling
yumeto
0
200
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
130
文献紹介: Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
yumeto
0
140
文献紹介: PAWS: Paraphrase Adversaries from Word Scrambling
yumeto
0
120
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
240
文献紹介: EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
yumeto
0
300
文献紹介: Decomposable Neural Paraphrase Generation
yumeto
0
200
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
200
Other Decks in Research
See All in Research
The many faces of AI and the role of mathematics
gpeyre
1
1.7k
PetiteSRE_GenAIEraにおけるインフラのあり方観察
ichichi
0
270
A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images
satai
3
140
Large Vision Language Model (LVLM) に関する最新知見まとめ (Part 1)
onely7
24
5.9k
ラムダ計算の拡張に基づく 音楽プログラミング言語mimium とそのVMの実装
tomoyanonymous
0
400
機械学習でヒトの行動を変える
hiromu1996
1
550
国際会議ACL2024参加報告
chemical_tree
1
430
The Economics of Platforms 輪読会 第1章
tomonatu8
0
140
eAI (Engineerable AI) プロジェクトの全体像 / Overview of eAI Project
ishikawafyu
0
380
ナレッジプロデューサーとしてのミドルマネージャー支援 - MIMIGURI「知識創造室」の事例の考察 -
chiemitaki
0
220
o1 pro mode の調査レポート
smorce
0
120
複数データセットを用いた動作認識
yuyay
0
120
Featured
See All Featured
For a Future-Friendly Web
brad_frost
176
9.6k
Unsuck your backbone
ammeep
669
57k
Building an army of robots
kneath
303
45k
The Language of Interfaces
destraynor
156
24k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Optimising Largest Contentful Paint
csswizardry
34
3.1k
Why You Should Never Use an ORM
jnunemaker
PRO
55
9.2k
Facilitating Awesome Meetings
lara
52
6.2k
The Cult of Friendly URLs
andyhume
78
6.2k
Docker and Python
trallard
44
3.3k
GraphQLとの向き合い方2022年版
quramy
44
13k
Designing for humans not robots
tammielis
250
25k
Transcript
Query and Output: Generating Words by Querying Distributed Word Representations
for Paraphrase Generation Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren. Proceedings of NAACL-HLT 2018, pages 196-206, 2018. จݙհ Ԭٕज़Պֶେֶࣗવݴޠॲཧݚڀࣨ ҴԬເਓ
"CTUSBDU wطଘͷ4FRTFRϞσϧ͕ੜ͢Δจ จ๏తʹਖ਼͍͕͠ҙຯతʹෆదͳ͜ͱ͕Α͋͘Δ w୯ޠࢄදݱͷݕࡧʹΑͬͯ୯ޠΛੜ͢Δ 8PSE&NCFEEJOH"UUFOUJPO/FUXPSL 8&"/ ΛఏҊ wݴ͍͕͑ॏཁͳςΩετฏқԽͱจཁλεΫͰ TUBUFPGUIFBSUΛୡ
!2
*OUSPEVDUJPO w ैདྷͷ4FRTFRϞσϧ୯ޠͷҙຯͰͳ͘܇࿅ ηοτͷ୯ޠύλʔϯΛ҉ه͢Δ͕͋Δ ˡσίʔμͷग़ྗ͕ҙຯతใΛϞσϦϯά ɹ͍ͯ͠ͳ͍ͨΊ w σίʔμͷग़ྗ͕࣋ͭύϥϝʔλ͕ଟ͍ ӅΕͷ࣍ݩ͕ ޠኮαΠζ͕ສͷ߹
ύϥϝʔλ ສͱͳΔ !3
8&"/ w 8PSE&NCFEEJOH"UUFOUJPO/FUXPSL w 3//ͷग़ྗΛΫΤϦͱͯ͠࠷Ұக͢Δࢄදݱ ͷ୯ޠΛBUUFOUJPOΛ༻ͨ͠ݕࡧʹΑͬͯબ w ୯ޠͷࢄදݱΤϯίʔμɺσίʔμͷೖྗ ʹՃ͑ͯग़ྗͷΫΤϦʹΑͬͯߋ৽͞ΕΔ !4
!5 8&"/
!6 8&"/
!7 8&"/
!8 8&"/
ΫΤϦͱ୯ޠͷηοτ͔ΒείΞΛܭࢉ RUλΠϜεςοϓUͷRVFSZ FJJ൪ͷީิ୯ޠ J ʜ O OޠኮαΠζ είΞ͕࠷େͱͳΔ୯ޠΛબ WBMJEBUJPOTFUTͰͷੑೳΛجʹHFOFSBMΛ༻
!9
5SBJOJOH w ୯ޠͷબʹݕࡧΛ༻͍͍ͯΔ͕ɺҰൠతͳ 4FRTFRͱಉ༷ʹඍՄೳ ˠଛࣦؔಉ͡ͷ͕༻Մೳ w "EBN Ћ Ќ Ќ
ЏF !10
&YQFSJNFOUT 5FYU4JNQMJpDBUJPO w %BUBTFUT 1BSBMMFM8JLJQFEJB4JNQMJpDBUJPO$PSQVT 18,1 USBJOWBMJEUFTU
&OHMJTI8JLJQFEJBBOE4JNQMF&OHMJTI8JLJQFEJB &84&8 L USBJOWBMJEUFTU UFTUTFU".5ͰಘΒΕͨͭͷ3FGFSFODFΛ࣋ͭ !11
&YQFSJNFOUT 5FYU4JNQMJpDBUJPO w &WBMVBUJPO.FUSJDT #-&6 ػց༁ฏқԽͰ͘༻͍ΒΕ͍ͯΔࣗಈධՁख๏ ਓखධՁ ྲྀெੑɺଥੑɺฏқ͞ΛͰධՁ ฏқ͞ग़ྗ͕ೖྗͱൺͯͲΕ͚ͩฏқ͔Λࣔ͢
!12
݁Ռ ࣗಈධՁ !13
݁Ռ ਓखධՁ !14
"OBMZTJT w 8&"/ैདྷͷ4FRTFRͱൺͯύϥϝʔλ͕গͳ͍ !15
"OBMZTJT w /54XW1#.53ඞਢͷཁૉΛ͍͍ܽͯΔ w 4#.54"3*ྲྀெ͕ͩҙຯ͕ҟͳΔ !16
"OBMZTJT !17
"OBMZTJT !18 ˢলུ͕ଟ͘ใ͕ෆ͍ͯ͠Δ
"OBMZTJT !19 ˢTJFNFOTNBSUJO SSC TIVSCBͱ͍ͬͨແؔͷ ɹ୯ޠΛग़ྗ
"OBMZTJT !20 ˣྲྀெ͕ͩҙຯ͕ҟͳΓΑΓཧղ͕͘͠ͳ͍ͬͯΔ
$PODMVTJPO w ΫΤϦʹΑΔ୯ޠࢄදݱͷݕࡧ͔Β୯ޠΛੜ ͢ΔFODPEFSEFDPEFSGSBNFXPSLΛఏҊ w ͭͷӳޠฏқԽσʔληοτʹ͓͍ͯ ϕʔεϥΠϯͱൺֱͯ͠#-&6͕ͦΕͧΕ ͓Αͼ্ͨ͠ w ຊϞσϧTUBUFPGUIFBSUΛୡ͍ͯ͠Δ
!21