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:Automated Evaluation of Out-of-Context Errors
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Atsushi
February 06, 2019
Technology
0
99
文献紹介:Automated Evaluation of Out-of-Context Errors
2019/02/06 文献紹介
長岡技術科学大学
自然言語処理研究室
Atsushi
February 06, 2019
Tweet
Share
More Decks by Atsushi
See All by Atsushi
文献紹介:Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods
atsumikan
0
170
文献紹介:Auxiliary Objectives for Neural Error Detection Models
atsumikan
0
94
文献紹介:Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
atsumikan
0
130
文献紹介:Low-resource OCR error detection and correction in French Clinical Texts
atsumikan
0
130
文献紹介:CMMC-BDRC Solution to the NLP-TEA-2018 Chinese Grammatical Error Diagnosis Task
atsumikan
0
130
文献紹介 : Fluency Boost Learning and Inference for Neural Grammatical Error Correction
atsumikan
0
180
文献紹介:語彙の概念化と Wikipediaを用いた英字略語の意味推定方法
atsumikan
0
150
文献紹介:The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction
atsumikan
0
140
文献紹介: Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
atsumikan
0
180
Other Decks in Technology
See All in Technology
AIエージェントを開発しよう!-AgentCore活用の勘所-
yukiogawa
0
190
ファインディの横断SREがTakumi byGMOと取り組む、セキュリティと開発スピードの両立
rvirus0817
1
1.7k
usermode linux without MMU - fosdem2026 kernel devroom
thehajime
0
240
Cosmos World Foundation Model Platform for Physical AI
takmin
0
980
[CV勉強会@関東 World Model 読み会] Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models (Mousakhan+, NeurIPS 2025)
abemii
0
150
顧客との商談議事録をみんなで読んで顧客解像度を上げよう
shibayu36
0
340
【Oracle Cloud ウェビナー】[Oracle AI Database + AWS] Oracle Database@AWSで広がるクラウドの新たな選択肢とAI時代のデータ戦略
oracle4engineer
PRO
2
190
Bedrock PolicyでAmazon Bedrock Guardrails利用を強制してみた
yuu551
0
260
猫でもわかるKiro CLI(セキュリティ編)
kentapapa
0
120
コンテナセキュリティの最新事情 ~ 2026年版 ~
kyohmizu
7
2.4k
Tebiki Engineering Team Deck
tebiki
0
24k
顧客の言葉を、そのまま信じない勇気
yamatai1212
1
370
Featured
See All Featured
Building Adaptive Systems
keathley
44
2.9k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8.4k
Utilizing Notion as your number one productivity tool
mfonobong
3
220
Speed Design
sergeychernyshev
33
1.5k
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
380
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
180
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
750
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.6k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
7.9k
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
57
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.4k
The Language of Interfaces
destraynor
162
26k
Transcript
"VUPNBUFE&WBMVBUJPOPG 0VUPG$POUFYU&SSPST Ԭٕज़Պֶେֶࣗવݴޠॲཧݚڀࣨ ੁ३ࢤ จݙհ ݄ 1BUSJDL)VCFS +BO/JFIVFT "MFY8BJCFM 1SPDFFEJOHTPGUIF&MFWFOUI*OUFSOBUJPOBM$POGFSFODFPO-BOHVBHF
3FTPVSDFTBOE&WBMVBUJPO -3&$ QBHFTr .JZB[BLJ +BQBO .BZ
"CTUSBDU w ςΩετཧղλεΫͷͨΊͷ ܭࢉϞσϧΛධՁ͢Δ৽͍͠ΞϓϩʔνΛఏҊ w ࣗಈతͳվมख๏ʹΑΓେنͳσʔληοτ Λ༻Մೳʹ w 5&%ίʔύεΛվม͠ධՁ
*OUSPEVDUJPO w ࣗಈԻೝࣝ "43 χϡʔϥϧػց༁ /.5 γεςϜͷଟ͘Ͱ Ұʹจͣͭॲཧ w จ͚ͩͰจ຺֎ͷޡΓͷࣝผ͕ࠔ
w ྫ "43γεςϜͰੈքܦࡁʹؔ͢ΔจΛॻ͖ى͜͢߹ w ਖ਼ 5IFSFBSFHSFBUPQQPSUVOJUJFTJOUIFGBSFBTU w ޡ 5IFSFBSFHSFBUPQQPSUVOJUJFTJOUIFGPSFTU w
Իతʹࣅ͍ͯΔͨΊ GBSFBTU͕GPSFTUͱޡೝࣝ w จ຺্ GPSFTUਖ਼͘͠ͳ͍୯ޠ *OUSPEVDUJPO
*OUSPEVDUJPO w ৽͍͠ςΩετཧղλεΫΛઃܭ w จ຺֎ͷޡΓΛࣝผ͢ΔλεΫ w ࣗಈԽ͞Εͨσʔληοτ࡞खॱΛఏҊ w จ຺֎ͷޡΓΛࣝผ͢ΔϞσϧΛධՁ͢ΔͨΊ ͷσʔληοτ
5BTL w จ຺֎ͷޡΓΛࣝผ͢ΔλεΫ w ֤୯ޠ͕ޡΓͰ͋Δ͔൱͔ͷ όΠφϦܥྻϥϕϦϯά w ޡΓҐஔσʔληοτશମʹࢄ͞Ε͍ͯΔ ͨΊݻఆҐஔΞϓϩʔνΑΓλεΫ͕ෳࡶ
5BTL w 8F IBWF JO
IJHIFS FEVDBUJPO B USJMMJPO EPMMBST PG TUVEFOU EFCU <ʜ> 8F IBWF B MPU PG TIPQQJOH 0VS FDPOPNZ HSFX <ʜ> PO UIF CBDL PG DPOTVNFST NBTTJWFMZ PWFS CPSSPXJOH
%BUB.PEJpDBUJPO w ϞσϧΛධՁ͢ΔͨΊͷσʔληοτͷ࡞खॱ w طଘͷσʔληοτʹจ຺֎ͷޡΓΛૠೖ w ಛʹڧྗͳจ຺্ͷಛΛ࣋ͭจষΛ༻͍Δ w શʹࣗಈԽ͞Ε͓ͯΓ ਓखΛඞཁͱ͠ͳ͍
w େنίʔύεͷվมՄೳ
%BUB.PEJpDBUJPO w σʔληοτͷ࡞खॱ %BUBTFU'JMUFSJOH 1BSUPG4QFFDI5BHHJOH $BOEJEBUF4FMFDUJPO
"QQFBSBODF8JOEPX
%BUBTFU'JMUFSJOH w σʔληοτͷ࣭Λ্ͤ͞ΔͨΊʹ ޠະຬͷ୯ޠͰߏ͞ΕΔจষΛআڈ͢Δ
1BSUPG4QFFDI5BHHJOH w ஔ͞ΕΔ୯ޠͷબͷͨΊʹ ࢺΛ༩͢Δ w จ຺ಛʹ໊ࢺʹͱͬͯॏཁ1BQFSOPFUBM w ໊ࢺͷஔʹযΛͯΔ
w จষதͷ໊ࢺͷϦετΛऔಘ͢Δ
$BOEJEBUF4FMFDUJPO w ஔ͞ΕΔ୯ޠΛબ͢Δ w จষͷҰ෦ʹෳճग़ݱ͢Δ໊ࢺ͕จ຺Λܾఆ w ໊ࢺϦετͷதͰ ྡ͢Δ୯ޠҎʹෳճग़ݱ͠ ໊ͨࢺͷ͏ͪ ࠷ޙͷ໊ࢺͷҐஔΛஔҐஔͷީิͱ͢Δ
w ྫʣ໊ࢺ" ໊ࢺ# ໊ࢺ$ ໊ࢺ% ໊ࢺ& ໊ࢺ' ໊ࢺ( ໊ࢺ$ ໊ࢺ* ໊ࢺ$ w ஔҐஔ ީิ͔ΒϥϯμϜʹબ͢Δ
"QQFBSBODF8JOEPX w ஔ͢Δ୯ޠΛબ͢Δ w ݩͷσʔληοτ্Ͱ ग़ݱճ͕ಉఔͷ୯ޠΛબ w ͜ͷख๏ʹΑΓ ҎԼͷಛΛಘΔ
Ұൠతͳ୯ޠ͕සͳ୯ޠʹஔ͞ΕΔ͜ͱΛճආ ୯ޠͷग़ݱճҰൠతʹҙຯͱ͕ؔͳ͍ͨΊ ஔ͞Εͨ୯ޠͱݩͷ୯ޠͷؒͰؔΛ࣋ͨͳ͍ w ͞Βʹ੍͓࣌Αͼʹؔ͢ΔϑΟϧλϦϯάΛߦ͏
/PXOPUJDF JOBQFSJPEXIJDIJTEPNJOBUFECZB NPOPQPMBSXPSME ZPVIBWFpYFEBMMJBODFTr/"50 UIF8BSTBX1BDU"pYFEQPMBSJUZPGQPXFSNFBOT pYFEBMMJBODFT#VUBNVMUJQMFQPMBSJUZPGQPXFS NFBOTTIJGUJOHBOEDIBOHJOHBMMJBODFT"OEUIBU`TUIF XPSMEXF`SFDPNJOHJOUP JOXIJDIXFXJMMJODSFBTJOHMZ
TFFUIBUPVSNBSLFUFSTBSFOPUpYFE .PEJpDBUJPOEBUBFYBNQMF ਖ਼ʣBMMJBODFT ޡʣNBSLFUFST
&WBMVBUJPO w σʔληοτ w &OHMJTI5&%5BMLDPSQVT SFMFBTFEGPSUIF*84-5 $FUUPMPFUBM w
ϕʔεϥΠϯ w -BOHVBHF.PEFM w #JOBSZ$MBTTJpDBUJPO.PEFM w )VNBO#BTFMJOF
#BTFMJOF w -BOHVBHF.PEFM w 3//Λ༻͍ͨڭࢣͳֶ͠शϞσϧ w #JOBSZ$MBTTJpDBUJPO.PEFM w OFVSBM-.ͷग़ྗΛͱͨ͠ڭࢣ͋ΓֶशϞσϧ w
)VNBO#BTFMJOF w จΛݟͯจ຺ʹ߹Θͳ͍୯ޠΛਓ͕ؒݟ͚ͭΔ w ςετηοτ͔ΒϥϯμϜʹબΜͩจʹର͠ ਓͷࢀՃऀ͕ճ
None
&WBMVBUJPO
$PODMVTJPO w จ຺Λҙࣝͨ͠ܭࢉϞσϧΛධՁ͢ΔͨΊͷ ৽͍͠λεΫΛఏࣔ w จ຺ͷҙຯදݱʹযΛ߹Θͤͨจ຺ೝࣝϞσϧͷͨΊ ͷแׅతͳϕϯνϚʔΫΛ࡞ w ہॴతͳτʔΫϯͷΈΛ༻͢ΔϞσϧͰ ஔ͞ΕͨτʔΫϯͷਪఆ͕ࠔͰ͋Δ͜ͱ͕ࣔ͞Εͨ
w λεΫͷύϑΥʔϚϯεΛ্ͤ͞ΔͨΊʹ ঢ়گʹԠͨ͡ΞϓϩʔνͷఏҊ͕ඞཁͰ͋Δ