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
意味の解析
Search
Yumeto Inaoka
February 21, 2017
Technology
0
280
意味の解析
2017/02/22のB3ゼミで発表
Yumeto Inaoka
February 21, 2017
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
170
文献紹介: Open Domain Web Keyphrase Extraction Beyond Language Modeling
yumeto
0
220
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
150
文献紹介: Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
yumeto
0
160
文献紹介: PAWS: Paraphrase Adversaries from Word Scrambling
yumeto
0
140
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
260
文献紹介: EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
yumeto
0
320
文献紹介: Decomposable Neural Paraphrase Generation
yumeto
0
220
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
210
Other Decks in Technology
See All in Technology
UIパフォーマンス最適化: AIを活用して100倍の速度向上を実現した事例
kinocoboy2
1
680
テストコードにはテストの意図を込めよう(2025年版) #retechtalk / Put the intent of the test 2025
nihonbuson
PRO
14
2.3k
熱々🔥のUDN🍜を喰らえ❗マルチテナントもVM統合も思いのまま❗新機能で切り拓くk8sネットワークの未来
tsukaman
0
140
水耕栽培に全部賭けろ
mutsumix
0
170
CARTA HOLDINGS エンジニア向け 採用ピッチ資料 / CARTA-GUIDE-for-Engineers
carta_engineering
0
28k
チェックツールを導入したけど使ってもらえなかった話 #GAADjp
lycorptech_jp
PRO
1
150
人間性を捧げる生成AI時代の技術選定
yo4raw
2
1.2k
計装を見直してアプリケーションパフォーマンスを改善させた話
donkomura
2
220
Tailwind CSS の小話「コンテナークエリーって便利」
yamaday
0
160
SRE/インフラエンジニアの市場価値とキャリアパス/Market value and career path for SRE-infrastructure engineers
takumakume
1
230
AWS LambdaをTypeScriptで動かして分かった、Node.jsのTypeScriptサポートの利点と課題
smt7174
1
150
4月15日の AZ 障害をテクサポの中の人目線で振り返ってみる
kazzpapa3
3
190
Featured
See All Featured
Writing Fast Ruby
sferik
628
61k
Making Projects Easy
brettharned
116
6.2k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
720
We Have a Design System, Now What?
morganepeng
52
7.6k
How GitHub (no longer) Works
holman
314
140k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
129
19k
A Modern Web Designer's Workflow
chriscoyier
693
190k
Statistics for Hackers
jakevdp
799
220k
Why Our Code Smells
bkeepers
PRO
336
57k
Code Review Best Practice
trishagee
68
18k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
32
5.8k
Transcript
ҙຯͷղੳ #θϛ ࣗવݴޠॲཧݚڀࣨɹҴԬເਓ
ࢀߟʹͨ͠ॻ੶
ൃද༰ ˗ ҙຯͷղੳͷඞཁੑ ˗ ड़ޠ߲ߏ ˗ ֨ͱ֨ϑϨʔϜ ˗ ֨ϑϨʔϜͷࣗಈߏங
ҙຯͷղੳͷඞཁੑ ˗ ߏจղੳͰจͷߏΛղ໌ ˗ จͷҙຯ8)ͰදݱՄೳ ˗ จͷߏ8)Λ໌ࣔ͠ͳ͍ ɹˠ͞ΒͳΔॲཧ͕ඞཁ
ߏͱҙຯͷҧ͍ " +PIOCSPLFUIFXJOEPXXJUIBIBNNFS # 5IFXJOEPXCSPLF $ "IBNNFSCSPLFUIFXJOEPX ˗ ҙຯ΄΅ಉ͕ͩ͡ߏશવҧ͏ ˗
ओޠతޠΛٻΊΒΕͯҙຯෆ໌
ߏͱҙຯͷҧ͍ " ళ͕ΩϟϯϖʔϯͰച্Λഒ૿ͨ͠ɻ # ച্͕ഒ૿ͨ͠ɻ $ Ωϟϯϖʔϯ͕ച্Λഒ૿ͨ͠ɻ ˗ ओޠҧ͏͕ҙຯಉ͡ ˗
ޠಈࢺͷ߹ʹੜ͡Δ
ड़ޠ߲ߏ ˗ ड़ޠΛҙຯͷத৺ͱ͢Δ ˗ ड़ޠΛิ͏߲ͱͷؔͰҙຯΛଊ͑Δ
֨ ˗ ߲ͷׂ ˗ ද֨ɿදతʹܾ·Δ֨ ˗ ਂ֨ɿਂతɾҙຯతʹܾ·Δ֨
ද֨ ओ֨ ओޠͷׂ ର֨ తޠͷׂ ༩֨ ؒతޠͷׂ
ຊޠͷද֨ ˗ ຊޠޠॱ͕ࣗ༝ ˗ ޠॱ͔Β͕֨۠ผͰ͖ͳ͍ ˗ ֨ॿࢺ͕֨Λࣝผ ˗ ֨ॿࢺʹରԠͨ͠Ψ֨ɾϮ֨ɾχ֨ͳͲ
ਂ֨ ಈ࡞ओ֨ ಈ࡞ΛҾ͖ى͜͢ऀ ܦݧऀ֨ ৺ཧݱΛମݧ͢Δऀ ಓ۩֨ ग़དྷࣄͷݪҼ ର֨ ҠಈมԽͷର
ݯઘ֨ ରͷҠಈʹ͓͚Δى ඪ֨ ରͷҠಈʹ͓͚Δऴ ॴ֨ ग़དྷࣄ͕ى͜ΔॴҐஔ ࣌ؒ֨ ग़དྷࣄ͕ى͜Δ࣌ؒ
֨ϑϨʔϜ " +PIOCSPLFUIFXJOEPXXJUIBIBNNFS # 5IFXJOEPXCSPLF $ "IBNNFSCSPLFUIFXJOEPX { CSFBL
+PIOಈ࡞ओ֨ XJOEPXର֨ IBNNFSಓ۩֨ ֨ϑϨʔϜ
ຊޠͷ֨ղੳ ΦʔϒϯͰϋϜͤͨύϯΛম͍ͨɻ ˗ ʮϋϜΛͤΔʯͷͰϋϜϮ֨ ˗ ʮύϯʹͤΔʯͷͰύϯχ֨ ˠ ඞͣ֨͠ॿࢺࣔ͞Εͳ͍ ˠ ࿈ମम০અ໌֬Ͱͳ͍
֨ϑϨʔϜͷࣗಈߏங ˗ ड़ޠɾ֨ɾ߲ͷΈ߹ΘͤΛίʔύε ͔Βࣗಈߏங ˗ ສจنͷऍ༩ίʔύεͰ ߴਫ਼ͳղੳʹඞཁͳྔͱͯ͠ෆे ˗ େྔͷੜίʔύε͔Βࣗಈߏங
֨ϑϨʔϜͷࣗಈߏங ˗ ߏจղੳͷ݁Ռ͔Βड़ޠ߲ߏΛநग़ ˗ ߏจతᐆດੑͷͳ͍ͷ͚ͩΛநग़ ˗ ड़ޠͷલͷ߲༻͍ͯநग़͢Δ
֨ϑϨʔϜͷࣗಈߏங ΦʔϒϯͰϋϜͤͨύϯΛম͍ͨɻ ˗ ΦʔϒϯͰͤͨʁ ˗ ΦʔϒϯͰম͍ͨʁ ˗ ߏจʹᐆດੑͷ͋Δͷແࢹ
֨ϑϨʔϜͷࣗಈߏங ˗ ߏจղੳͷ݁Ռ͔Βड़ޠ߲ߏΛநग़ ˗ ߏจతᐆດੑͷͳ͍ͷ͚ͩΛநग़ ˗ ड़ޠͷલͷ߲༻͍ͯநग़͢Δ
֨ϑϨʔϜͷࣗಈߏங " ΦʔϒϯͰϋϜͤͨύϯΛম͍ͨ # ࣇಐʹઌੜ͕खΛম͍ͨ $ ൴$%ʹσʔλΛম͍ͨ ˗ ಉ͡ʮম͍ͨʯ͕ͩҙຯҧ͏ ˗
લͷ߲Ληοτʹͯ͠நग़
֨ϑϨʔϜࣗಈߏஙͷྫ ژେֶ֨ϑϨʔϜ ˗ ԯຊޠจΛ༻ ˗ ສޠͷड़ޠ ˗
$16ͷΫϥελܭࢉػͰिؒ ࠇڮɾՏݪݚڀࣨʮژେֶ֨ϑϨʔϜʯ IUUQOMQJTUJLZPUPVBDKQJOEFYQIQ ژେֶ֨ϑϨʔϜ
ൃදͨ͠༰ ˗ ҙຯͷղੳͷඞཁੑ ˗ ड़ޠ߲ߏ ˗ ֨ ˗ ֨ϑϨʔϜͷࣗಈߏங