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
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Sho Yokoi
PRO
October 26, 2017
Research
4.5k
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by Sho Yokoi
See All by Sho Yokoi
Symmetry in language statistics shapes the geometry of model representations
eumesy
PRO
0
8
言語モデルから言語について語る際に押さえておきたいこと
eumesy
PRO
7
2.5k
Language Models Are Implicitly Continuous
eumesy
PRO
0
540
言語モデルの内部機序:解析と解釈
eumesy
PRO
94
32k
コーパスを丸呑みしたモデルから言語の何がわかるか
eumesy
PRO
12
4.9k
Zipf 白色化:タイプとトークンの区別がもたらす良質な埋め込み空間と損失関数
eumesy
PRO
10
2.6k
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve
eumesy
PRO
7
2.1k
「確率的なオウム」にできること、またそれがなぜできるのかについて
eumesy
PRO
8
4.7k
A Theory of Emergent In-Context Learning as Implicit Structure Induction
eumesy
PRO
5
1.8k
Other Decks in Research
See All in Research
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
shunk031
4
1.2k
某助成金プロジェクト採択に向けて企業研究所のアウトリーチ専任者がやったこと
afroscript
0
160
進学校の生徒にはア行の苗字が多いのか
ozekinote
0
520
AIで最適化を解けるか?
mickey_kubo
0
150
ふとした出会いで生まれたSkillが、 社内利用1位になるまで
mikimhk
13
13k
研究室単位での自律的 IPv6接続性確立に向けたAS共同運用モデルの提案と実証
reokashiwa
PRO
0
190
議論 学術ムーブメントを成功させるために何が必要なのだろうか
rmaruy
0
110
人間中心の意思決定支援AI
yukinobaba
PRO
7
3.7k
Spatial Active Noise Control Based onSound Field Interpolation Incorporating Physical Constraints
skoyamalab
0
150
typst の使い方:言語学を研究する学生のために
gitomochang
0
540
大規模言語モデルは誰を覚えているか / Who Do Large Language Models Memorize?
upura
0
110
LA-Bench 2025:実験指示から実行可能手順を生成するためのデータセット/LA-Bench 2025: A Dataset for Generating Executable Experimental Procedures from Experimental Instructions
stktu
0
120
Featured
See All Featured
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
My Coaching Mixtape
mlcsv
0
220
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.7k
Build your cross-platform service in a week with App Engine
jlugia
234
19k
Heart Work Chapter 1 - Part 1
lfama
PRO
8
36k
How to train your dragon (web standard)
notwaldorf
97
6.7k
Information Architects: The Missing Link in Design Systems
soysaucechin
0
1.1k
Paper Plane
katiecoart
PRO
2
53k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
240
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
1.2k
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
490
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