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
why is academic writing important for us
Search
Sho Yokoi
PRO
October 26, 2017
Research
3
4.1k
why is academic writing important for us
2017-10-26, 研究室内勉強会資料
(1) なぜライティングスキルは重要なのか
(2) 論文投稿先に関する基礎知識
Sho Yokoi
PRO
October 26, 2017
Tweet
Share
More Decks by Sho Yokoi
See All by Sho Yokoi
A Theory of Emergent In-Context Learning as Implicit Structure Induction
eumesy
PRO
4
930
ChatGPT と自然言語処理 / 言語の意味の計算と最適輸送
eumesy
PRO
24
17k
Revisiting Over-smoothing in BERT from the Perspective of Graph
eumesy
PRO
0
870
構造を持った言語データと最適輸送
eumesy
PRO
5
6.6k
最適輸送と自然言語処理
eumesy
PRO
19
10k
言葉の形を教えてくれる自然言語処理
eumesy
PRO
0
1.2k
自分を知る,遊び場を作る
eumesy
PRO
9
4k
Long-tail learning via logit adjustment
eumesy
PRO
4
2.5k
How to leverage optimal transport
eumesy
PRO
14
10k
Other Decks in Research
See All in Research
Gmail の「メール送信者のガイドライン」強化から 1 ヵ月、今後予想されるメールセキュリティの変化とは
hirachan
1
230
デフスポーツにおける支援技術 〜競技特性・ルールと技術との関係〜
slab
0
210
2024-01-23-az
sofievl
1
730
第14回対話システムシンポジウム EMNLP 2023 参加報告
atsumoto
0
140
[Human-AI Decision Making勉強会] 説明の更新はユーザにどのような影響をもたらすか
okoso
1
150
Evolutionary Optimization ofModel Merging Recipes (2024/04/17, NLPコロキウム)
iwiwi
5
1.9k
Refactoring Mining - The key to unlock software evolution
tsantalis
0
240
東工大Swallowプロジェクトにおける大規模日本語Webコーパスの構築
aya_se
12
6.3k
生成AIを用いたText to SQLの最前線
masatoto
1
2k
Prompt Tuning から Fine Tuning への移行時期推定
icoxfog417
17
6.8k
第12回全日本コンピュータビジョン勉強会:画像の自己教師あり学習における大規模データセット
naok615
0
500
論文紹介 DSRNet: Single Image Reflection Separation via Component Synergy (ICCV 2023)
tattaka
0
180
Featured
See All Featured
Thoughts on Productivity
jonyablonski
57
3.8k
A Modern Web Designer's Workflow
chriscoyier
688
190k
Product Roadmaps are Hard
iamctodd
43
9.7k
Building Better People: How to give real-time feedback that sticks.
wjessup
354
18k
We Have a Design System, Now What?
morganepeng
42
6.7k
Unsuck your backbone
ammeep
662
57k
Making the Leap to Tech Lead
cromwellryan
123
8.5k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
18
1.7k
Producing Creativity
orderedlist
PRO
336
39k
The Language of Interfaces
destraynor
151
23k
Embracing the Ebb and Flow
colly
79
4.1k
Bash Introduction
62gerente
604
210k
Transcript
Why is Writing Important ݚڀͱษڧͷϧʔϧͷҧ͍ɼ͓Αͼจߘઌʹؔ͢Δجૅࣝ Research Skills ษڧձ #1; October
26th, 2017 ౦େֶ סݚڀࣨ ԣҪ (D1) 1
1. ͳͥʮจͷॻ͖ํʯΠγϡʔͳͷ͔ 2
ษڧͱݚڀతධՁͷํ๏ҟͳΔ • ษڧɿطͷݟͷशಘ͕తɽࢼݧϨϙʔτΛ௨ͯ͠ɼֶ शऀͷशख़ΛධՁɾݕূɽ • ݚڀɿਓྨʹͱͬͯະͷࣄ࣮ͷൃݟ͕తɽࠪಡͱҾ༻Λ௨ ͯ͠ɼओுʢจʣͷଥੑॏཁੑΛධՁɾݕূɽ → ݚڀ׆ಈͷ࣮ફతˍظతͳඪɼݚڀ݁ՌΛจʹ·ͱ ΊͯɼࠪಡΛύε͢Δ͜ͱɽݚڀࣨଐ͔Β1ʙ2ͰͨͲΓண
͖͍ͨɽ 3
ͳͥࠪಡ͢Δͷ͔ɼͳͥҾ༻͢Δͷ͔ ਓྨશମͰֶΛલਐͤ͞Δํ๏ৗʹΞοϓσʔτ͞Ε͖ͯ ͨɽݱࡏࠪಡͱҾ༻ʹΑͬͯݚڀͷ࣭Λ୲อ͢Δํ๏͕ओྲྀɽ • Peer ReviewʢࠪಡʣɿݚڀՌʢจʣͷॏཁੑ৽نੑΛ ઐՈಉ࢜Ͱ૬ޓݕূʢࠪಡʣ͢ΔɽࠪಡΛύεͨ͠จ͕ग़ ൛͞Εɼଞऀ͔ΒࢀরͰ͖Δঢ়ଶʹͳΔɽˡ ࠓճͷείʔϓ •
CitationʢҾ༻ʣɿઌߦݚڀΛ౿·͑ɼݞʹΓʢҾ༻͠ʣɼ ݟΛ͞ΒʹਐΊΔɽ·ͨҾ༻ʹΑΓઌߦݚڀܟҙΛࣔ͢ɽ 4
ࠪಡͰνΣοΫ͞ΕΔ߲ • ݚڀͷ༰ʹؔΘΔ߲ Noveltyʢ৽نੑʣɼOriginalityʢಠੑʣɿ৽͠͞ SignificanceʢॏཁੑʣɼRelevanceʢؔ࿈ੑʣɿॏཁ͞ Correctnessʢਖ਼ੑʣɼSoundnessʢଥੑʣɿٞͷଥ͞ • จͷॻ͖ํʹؔΘΔ߲ ← ॻ͖ํۃΊͯॏཁ
ClarityɼPresentationɿهड़ͷ໌ղ͞ɼٞͷ͍͢͞ Repeatabilityɿ࠶ݱੑʢʹಡΈख͕ࢼՄೳ͔ʣ 5
·ͱΊɿͳͥʮจͷॻ͖ํʯΠγϡʔͳͷ͔ • ݚڀ׆ಈʢਓྨͷΛલਐͤ͞Δ׆ಈʣͷεϞʔϧΰʔϧݚ ڀՌΛࠪಡ͖จͱͯ͠ग़൛͢Δ͜ͱɽ • ࠪಡͰจͷॻ͖ํ͕νΣοΫ͞ΕΔʢʹΑ͘ॻ͚͍ͯΔ จʹՁ͕͋Δʣɽ • →ʮจͷॻ͖ํʯॏཁɽ •
·ͨจͷ໌ղ͞Λ্ͤ͞ΔաఔͰɼݚڀࣗମ͕લਐ͢Δɽ 6
2. จߘઌʹؔ͢Δجૅࣝ 7
ߘઌ จͷߘઌʹଟ͘ͷબࢶ͕͋Δɽ • ࠪಡɿࠪಡͷ༗ແ • ഔମɿจࢽɼձٞͷ༧ߘूɼϫʔΫγϣοϓͷ༧ߘू • ݴޠɿӳޠʢࠃࡍࢽɼձٞʣʀຊޠʢࠃࢽɼձٞʣ • Tierɿܝࡌจͷ࣭ɼࠪಡͷݫ͠͞
8
ࠪಡ • ࠪಡͷ༗ແɿجຊతʹࠪಡ͖จͷΈ͕Ҿ༻ͷରͱͳΔɽ ݴ͍͑Εɼࠪಡͳ͠ͷจʢྫ͑ࠃձٞͷ༧ߘʣҾ ༻ͷରͱͳΒͳ͍ɽ • ಗ໊ੑɿެਖ਼ੑͷͨΊɼDouble-blindʢೋॏݕʀஶऀͱࠪಡ ऀ͕͓ޓ͍ΛΒͳ͍ʣ Single-blindʢยଆݕʀஶऀଆͩ ͚ࠪಡऀΛΒͳ͍ʣͰࠪಡ͞ΕΔ͜ͱ͕ଟ͍ɽզʑ͕ߘ
͢Δจࢽࠃࡍձٞ΄ͱΜͲ double-blind peer reviewɽ 9
ഔମ • Journal Articleʢݪஶจʣɿ௨ৗจࢽʹ࠾͞Εͨจ ͕ݪஶจʢҰ࣍ࢿྉʣͱݟͳ͞ΕҾ༻ͷରͱͳΔɽ·ͨ ͬͱॏཁͳۀͱͳΔɽࠪಡϲ݄͔Βఔɽ • Proceedings Paperʢձٞ༧ߘʣɿଟ͘ͷʹ͓͍ͯձٞڝ ૪తͰͳ࣭͘୲อ͞Ε͓ͯΒͣۀʹͳΒͳ͍ɽ͔͠͠
ਝͳࠪಡΛॏΜ͡ΔܭࢉػՊֶͷҰ෦Ͱࠃࡍձٞڝ૪త ͔ͭ࠷ॏཁࢹ͞ΕΔɽNLPಛʹݦஶɽࠪಡ1ʙ2ϲ݄ఔɽ 10
ഔମ • Preprintɿग़൛લͷݪߘΛެ։͢ΔαʔϏεʢPreprint serverʀ యܕతʹ arXivʣ͕ۙΜʹΘΕ͍ͯΔɽૣΊͷެ։Ͱ ৽نੑΛओுͰ͖ɼ·ͨۀքશମͷݚڀαΠΫϧૣ·Δɽ ※ ࣭୲อ͞Εͣۄੴࠞ߹ɽʢҾ༻ʹΑΔ୲อՄೳʣ ※
Double-blind Ͱͷࠪಡ͕࣮࣭తʹෆՄೳʹͳΔ͋Δɽ ACLίϛϡχςΟɼߘ1ϲ݄લҎޙʹϓϨϓϦϯτΛެ։ࡁ ͷจΛෆ࠾ʹ͢Δࢫએݴɽ 11
ݴޠ • զʑͷۀքͰɼجຊతʹӳޠͰॻ͔ΕͨจͷΈ͕Ҿ༻ͷର ͱͳΔɽ • ͨͩ͠ࠃจࢽɾࠃձٞͷߘʹɼۀҎ֎ʹଟ͘ͷ Ձ͕͋Δɽ ✔ จͷܗʹ·ͱΊɼ·ͨଞେֶଞݚڀػؔͷݚڀऀ͔Βί ϝϯτΛΒ͏͜ͱͰɼݚڀΛਐΊΔྑ͍ػձʹͳΔɽ
✔ ࠃͷϓϨʔϠʔʢಛʹඇݚڀऀʣͷ༗༻ͳࢀরઌʹͳΔɽ 12
Tier • ࠪಡ͕ڝ૪తͰ࠾จͷ࣭͕ߴ͍ഔମͱͦ͏Ͱͳ͍ͷ͕͋ Δɽ׳ྫతʹڝ૪తͳॱʹTop (1st) Tier, 2nd Tier, ͱΑͿɽ •
Top Tier ͷจࢽɾձٞɼࠪಡऀͱͯ͠ۀܦݧͷ͋Δݚ ڀऀׂ͕ΓͯΒΕΔ͜ͱ͕ଟ͘ɼࠪಡίϝϯτ༗ӹɽ → ͳΔ͘ྑ͍ձٞʹग़͠·͠ΐ͏ɽ • ಡΈखͱͯ͠ Tier ͷߴ͍จࢽɾձ͔ٞΒαʔϕΠ͢Δͷ͕ ޮతɽ 13
ܭࢉػՊֶͷࠃࡍձٞͷྫ NLP AI ML; DM; ΄͔ 1st Tier पล͔Β ࢀর͞ΕΔ
ACL, EMNLP, NAACL AAAI, IJCAI NIPS, ICML; KDD, WSDM; WWW, SIGIR, CVPR, InterSpeech 2nd Tier ͔֘Β ࢀর͞ΕΔ EACL, COLING, IJCNLP, CoNLL UAI, ECAI AISTATS, ICLR; ICDM, ECMLPKDD, CIKM 14
Long Paper, Short Paper ࠃࡍձٞɼLong Paperʢ6ʙ8ϖʔδఔʣͱ Short Paperʢ4ʙ6ϖʔδఔʣΛબΔέʔε͕͋Δɽ • ҰൠʹɼLong
Paper ʹ࣮ݧߟͳͲ͕ेʹἧͬͨݚڀ ΛɼShort Paper ʹΞΠσΞҰൃ࣮ݧ͕ݶఆ͞ΕͨݚڀΛ ߘ͢Δɼͱ͞Ε͍ͯΔɽ • ҰൠʹɼLong Paper ͷํ͕ڝ૪తͰ࠾จͷߴ͍ɽ 15
Oral Presentation, Poster Presentation ࠃࡍձٞʹจ͕࠾͞ΕΔͱɼձٞͰݚڀͷ༰Λൃද͢Δػ ձ͕༩͑ΒΕΔɽൃදଟ͘ͷ߹ٛɽ • ൃදͷܗଶʹ Oral Presentationʢޱ಄ൃදʣͱ
Poster Presentationʢϙελʔൃදʣ͕͋ΔɽҰൠʹɼ࠾จͷൃ දͷܗଶओ࠵ऀଆ͔Βࢦࣔ͞ΕΔɽ • Ұൠʹɼจͷ࣭͕ߴ͘ଟ͘ͷௌऺ͕ظ͞ΕΔݚڀ͕ Oral Presentation ʹׂΓͯΒΕΔɽ 16
NLPʹ͓͚ΔΑ͋͘Δߘॱ 1. ࠃձٞɿຊޠɼࠪಡͳ͠ɽۀʹͳΒͳ͍ɽจԽͷػ ձɼଞݚڀऀͱٞ͢ΔػձʹɽݴޠॲཧֶձɼNLݚͳͲɽ ࠃࡍձٞซઃϫʔΫγϣοϓಉ༷ͷϝϦοτ͕͋Γɼਪɽ 2. ࠃࡍձٞɿӳޠɼࠪಡ͋Γɽ͕͜͜ओઓɽNLP12݄͔Β4 ݄ࠒ͕ߘγʔζϯɼ6݄͔Β9݄ࠒ͕ձٞγʔζϯɽ 3. จࢽɿΞΧσϛοΫͳจ຺ͰධՁΛड͚ΔࡍʹॏཁɽTACL
࠾͞ΕΔͱACL/EMNLP/NAACLͰൃදՄɽ 17
3. ࠓޙͷ Research Skills ษڧձ ΑΓΑ͘ॻ͚ΔΑ͏ʹͳΔͨΊʹ 18
ษڧձͷείʔϓ είʔϓ είʔϓ֎ Α͍ॻ͖͔ͨΛֶͿ Α͍ςʔϚઃఆΛֶͿ How to say What to
say ୡՄೳͳٕज़ ͓ؾ࣋ͪɼҙ 19
ษڧձͰѻ͏ςʔϚ • πʔϧͷ͍ํɿLaTeX ͷ Tips ؚΊͨࣥචڥɼϊϋ ɼKWIC ͷपลπʔϧ • ӳޠͷॻ͖ํɿจతɾ׳ྫతͳݴ͍ճ͠ɼΑ͋͘Δؒҧ͍
• Α͍ߏʹ͢ΔͨΊͷํ๏ɿoutline-driven writing • ΄͔ɿ༗ӹࢿྉͷڞ༗ɼ૬ޓࠪಡɼͳͲ 20