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早期うつ状態検出のためのマルチモーダル対話データセットに基づくうつ状態検出モデルの性能評価(N...
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Kotaro Kashihara
March 16, 2025
Research
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早期うつ状態検出のためのマルチモーダル対話データセットに基づくうつ状態検出モデルの性能評価(NLP2025)
NLP2025@長崎での発表内容
Kotaro Kashihara
March 16, 2025
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Transcript
ദݪޭଠɹߴುढ़थɹܟଠ കݪӳ༟ɹೖᖒߤ࢙ɹத୍ཧਔɹপాपॿ ߁γϯɹ٢ాູɹদຊ ಙౡେֶେֶӃՊֶݚڀՊ࿑ಇऀ݈߁҆શػߏ ಙౡେֶҩֶ෦ಙౡେֶେֶӃࣾձ࢈ۀཧֶݚڀ෦ ૣظ͏ͭঢ়ଶݕग़ͷͨΊͷ ϚϧνϞʔμϧରσʔληοτʹجͮ͘ ͏ͭঢ়ଶݕग़ϞσϧͷੑೳධՁ $
ݚڀഎܠ • ੈքతʹετϨεͱෆ҆ʹΑΔϝϯλϧ࣬ױ͕૿Ճ͍ͯ͠Δ<> • ಛʹຊͰɺ࿑ಇऀͷϝϯλϧ࣬ױ͕૿Ճ͍ͯ͠Δ<> • ͔͠͠ɺਫ਼ਆՊҩΧϯηϥʔͷෆʹΑΓૣظൃݟ͕͍͠ 㱺ϝϯλϧෆௐͷૣظൃݟΛϚϧνϞʔμϧͳ"*ϞσϧͰସͰ͖ͳ͍͔ʁ
ݚڀత • ݈ৗऀɾϝϯλϧෆௐऀΛରͱͨ͠Χϯηϥʔͱͷ໘ஊΛ࣮ࢪ͠ɺ໘ஊதͷ ݴޠɾԻɾಈըɾ৺ഥ͔ΒͳΔϚϧνϞʔμϧσʔληοτΛߏஙɾੳ͢Δ • ߏஙͨ͠σʔληοτͱطଘσʔληοτΛΈ߹Θͤͯɺ ࠷৽ͷϚϧνϞʔμϧ͏ͭঢ়ଶݕग़ϞσϧΛֶश͠ੑೳධՁΛߦ͏ ࠷ۙ࠷ ൵͔ͬͨ͜͠ͱ
ԿͰ͔͢ʁ ࣂ͍ͬͯͨ ϖοτ͕͘ͳͬ ͨ͜ͱͰ͢ ! " σʔλऩू σʔληοτ ͏ͭঢ়ଶ ݕग़Ϟσϧ ͏ͭঢ়ଶ ݈ৗ
ؔ࿈ݚڀɿ%"*$80;<> • ͏ͭঢ়ଶݕग़ͷͨΊͷϚϧνϞʔμϧσʔληοτ %"*$80; ݴޠ ӳޠ ϞμϦςΟ ݴޠɺԻɺಈը ϥϕϧ
͏ͭঢ়ଶʹ͍ͭͯͷ Ξϯέʔτ݁Ռ ඃݧऀ ݈ৗऀ ໘ஊํ๏ 8J[BSEPG8P[๏Ͱͷ Ξόλʔͱͷ໘ஊ σʔληοτ ಛ
%"*$80;ͱͷҧ͍ 4 %"*$80; ຊݚڀ ݴޠ ӳޠ ຊޠ ϞμϦςΟ ݴޠɺԻɺಈը
ݴޠɺԻɺಈըɺ ৺ഥσʔλ ϥϕϧ ͏ͭঢ়ଶʹ͍ͭͯͷ Ξϯέʔτ݁Ռ ༷ʑͳ৺ཧঢ়ଶʢ͏ͭঢ়ଶؚΉʣ ʹ͍ͭͯͷΞϯέʔτ݁Ռ ඃݧऀ ݈ৗऀ ݈ৗऀͱ Ұ෦ϝϯλϧෆௐऀ ໘ஊํ๏ 8J[BSEPG8P[๏Ͱͷ Ξόλʔͱͷ໘ஊ 8J[BSEPG8P[๏Ͱͷ Ξόλʔͱͷ໘ஊ σʔληοτ ಛ
໘ஊํ๏ • ໘ஊ;PPNΛ௨ͯ͡ߦΘΕɺඃݧऀͷԻɾಈըΛهͨ͠ • ඃݧऀ৺ഥܭΛ͚ͯ໘ஊΛ࣮ࢪ • ΧϯηϥʔͷݟͨٴͼԻ 75VCF4UVEJPٴͼ.BHJD.JDΛ௨ͯ͡ ϦΞϧλΠϜʹมͨ͠
• ඃݧऀͱͯ͠ ʮخ͔ͬͨ͜͠ͱʯʮ൵͔ͬͨ͜͠ͱʯ ʮෲཱ͕ͬͨ͜ͱʯͷͭΛࣄલ४උ͠ɺ Χϯηϥʔ͔Βॱ࣭࣍͞Εͨ
Ξόλʔ • ໘ஊதͷΧϯηϥʔͷݟͨΛϦΞϧλΠϜͰΞόλʔʹมͨ͠ • Χϯηϥʔͷإදɾإͷ͖ͷτϥοΩϯάΛߦ͏ • ʮϋϧʯͱ͍͏໊લ͚ͩΛඃݧऀʹ໌ࣔͨ͠ • ˞໊લҎ֎ͷใʹ͍ͭͯඃݧऀʹରͯ͠໌ࣔ͠ͳ͔ͬͨ
*DPOJDCVTJOFTTNBO *O+BQBOFTF IUUQTOJ[JNBDPN*UFN%FUBJM*UFN
Ξϯέʔτ • ඃݧऀ໘ஊલɾ໘ஊޙʹΞϯέʔτʹճ • ໘ஊલɿ ඃݧऀͷ৺ཧঢ়ଶಛੑ • ໘ஊޙɿ ໘ஊதͷؾҹ
ऩू݁Ռ • ಙౡେֶٴͼಙౡେֶපӃ͔Βඃݧऀ͕ࢀՃ͠ɺݱࡏ໊ͷσʔλΛऩूࡁΈ • ͏ͪঁੑ໊ɺஉੑ໊ɺฏۉྸࡀ • 1)2ͷείΞͰ͏ͭঢ়ଶ͔൱͔Λஅͨ͠߹ɺ ݈ৗঢ়ଶ໊ɺ͏ͭঢ়ଶ໊
ಛྔͷநग़ͱ૬ؔੳ • σʔλͱΞϯέʔτ݁ՌΛ૬ؔੳ͠ɺطଘͷ৺ཧֶɾਫ਼ਆҩֶݚڀͱൺֱ • ֤ϞμϦςΟ͝ͱʹҎԼͷํ๏Ͱಛྔͷநग़Λߦͬͨ • ݴޠɿ(J/;"<>ͱຊޠධՁۃੑࣙॻ< >Λ༻͍ͯɺඃݧऀͷൃςΩετதͷ ϙδςΟϒɾωΨςΟϒͳ୯ޠٴͼׂ߹Λܭࢉ
• Իɿ0QFO4.*-&<>Λ༻͍ͯɺඃݧऀͷԻͷมԽʹؔ͢Δಛྔ ʢେ͖͞ɺϐονɺδολʔɺγϚʔʣͷฏۉɾඪ४ภࠩΛܭࢉ • ಈըɿ0QFO'BDF<>Λ༻͍ͯɺඃݧऀͷإදͷ֤ΞΫγϣϯϢχοτͷڧ͞ ͷฏۉɾඪ४ภࠩΛܭࢉ
૬ؔੳ݁Ռʢݴޠσʔλʣ • 5MCMM<>ͷ ʮ͏ͭঢ়ଶͷਓϙδςΟϒͳ ݴޠ༻͕Լ͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ • 1FOOFCBLFSΒ<>ͷ ʮ֎ަతͳਓϙδςΟϒͳ
ײޠΛଟ͘༻͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ ݴޠ ಛྔ Ξϯέʔτ ߲ ૬ؔ ϙδςΟϒͳ ༻ݴͷׂ߹ ("% ಉ্ 1)2 ಉ্ 4$"4 ϙδςΟϒͳ ༻ݴͷ #*( ֎ੑ ϙδςΟϒͳ ୯ޠͷ ಉ্
૬ؔੳ݁Ռʢݴޠσʔλʣ • 5MCMM<>ͷ ʮ͏ͭঢ়ଶͷਓϙδςΟϒͳ ݴޠ༻͕Լ͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ • 1FOOFCBLFSΒ<>ͷ ʮ֎ަతͳਓϙδςΟϒͳ
ײޠΛଟ͘༻͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ ݴޠ ಛྔ Ξϯέʔτ ߲ ૬ؔ ϙδςΟϒͳ ༻ݴͷׂ߹ ("% ಉ্ 1)2 ಉ্ 4$"4 ϙδςΟϒͳ ༻ݴͷ #*( ֎ੑ ϙδςΟϒͳ ୯ޠͷ ಉ্
૬ؔੳ݁Ռʢݴޠσʔλʣ • 5MCMM<>ͷ ʮ͏ͭঢ়ଶͷਓϙδςΟϒͳ ݴޠ༻͕Լ͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ • 1FOOFCBLFSΒ<>ͷ ʮ֎తͳਓϙδςΟϒͳ
ײޠΛଟ͘༻͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ ݴޠ ಛྔ Ξϯέʔτ ߲ ૬ؔ ϙδςΟϒͳ ༻ݴͷׂ߹ ("% ಉ্ 1)2 ಉ্ 4$"4 ϙδςΟϒͳ ༻ݴͷ #*( ֎ੑ ϙδςΟϒͳ ୯ޠͷ ಉ্
૬ؔੳ݁ՌʢԻσʔλʣ • (BMJMMJΒ<>ͷ ʮࣾަෆ҆Λ࣋ͭਓɺ جຊपʢϐονʣ͕େ͖͘ɺ ͷେ͖͕͞খ͘͞ͳΔʹ͋Δʯ ͱ͍͏݁ՌͱҰ෦Ұக • ,PUPWΒ<>ͷ
ʮ͏ͭঢ়ଶͷਓ ͷมԽΤωϧΪʔ͕͘͠ͳΔʯ ͱ͍͏݁ՌͱҰ෦Ұக Ի ಛྔ Ξϯέʔτ ߲ ૬ؔ ͷϐονͷ ฏۉ -4"4 ͷେ͖͞ͷ ඪ४ภࠩ 1)2 ͷϐονͷ ඪ४ภࠩ ಉ্
૬ؔੳ݁ՌʢԻσʔλʣ • (BMJMMJΒ<>ͷ ʮࣾަෆ҆Λ࣋ͭਓɺ جຊपʢϐονʣ͕େ͖͘ɺ ͷେ͖͕͞খ͘͞ͳΔʹ͋Δʯ ͱ͍͏݁ՌͱҰ෦Ұக • ,PUPWΒ<>ͷ
ʮ͏ͭঢ়ଶͷਓ ͷมԽΤωϧΪʔ͕͘͠ͳΔʯ ͱ͍͏݁ՌͱҰ෦Ұக Ի ಛྔ Ξϯέʔτ ߲ ૬ؔ ͷϐονͷ ฏۉ -4"4 ͷେ͖͞ͷ ඪ४ภࠩ 1)2 ͷϐονͷ ඪ४ภࠩ ಉ্
૬ؔੳ݁ՌʢԻσʔλʣ • (BMJMMJΒ<>ͷ ʮࣾަෆ҆Λ࣋ͭਓɺ جຊपʢϐονʣ͕େ͖͘ɺ ͷେ͖͕͞খ͘͞ͳΔʹ͋Δʯ ͱ͍͏݁ՌͱҰ෦Ұக • ,PUPWΒ<>ͷ
ʮ͏ͭঢ়ଶͷਓ ͷมԽΤωϧΪʔ͕͘͠ͳΔʯ ͱ͍͏݁ՌͱҰ෦Ұக Ի ಛྔ Ξϯέʔτ ߲ ૬ؔ ͷϐονͷ ฏۉ -4"4 ͷେ͖͞ͷ ඪ४ภࠩ 1)2 ͷϐονͷ ඪ४ภࠩ ಉ্
૬ؔੳ݁Ռʢಈըσʔλʣ • #*(։์ੑͷߴ͍ඃݧऀɺ ൺֱతϦϥοΫεͯ͠໘ஊΛ ड͚͍ͯͨ͜ͱΛࣔࠦ • #*(ۈษੑͷείΞͱ ΄ͱΜͲͷΞΫγϣϯϢχοτͷڧ͞ͷ ฏۉɾඪ४ภࠩͱʹෛͷ૬͕ؔݟΒΕͨ
㱺#*(ۈษੑͷߴ͍ඃݧऀ ൺֱతແදͰ໘ஊΛड͚͍ͯͨ͜ͱΛࣔࠦ ಈը ಛྔ Ξϯέʔτ ߲ ૬ؔ ʮඑΛԼ͛Δʯ ڧ͞ͷฏۉ #*( ։์ੑ ʮᛐΛۓுͤ͞ Δʯ ڧ͞ͷฏۉ ಉ্ ʮඑͷ֎ଆΛ্ ͛Δʯ ڧ͞ͷฏۉ ಉ্
࣮ݧɿલॲཧͱಛྔநग़ • ߏஙͨ͠σʔληοτͱ%"*$80;ΛΈ߹ΘֶͤͨशΛ࣮ࢪ 㱺ͭͷσʔληοτͰ౷Ұͨ͠લॲཧɾಛྔநग़Λ࣮ࢪ • લॲཧɿੜσʔλ͔Βඃݧऀͷൃ۠ؒͷԻɾಈըϑϨʔϜͷΈΛநग़ • ಛྔநग़ɿ •
ԻಛྔɿࣄલֶशࡁΈϞσϧ7((JTI<>ͷ࠷ऴϕΫτϧ • ಈըಛྔɿ0QFO'BDF͔ΒಘΒΕΔإϥϯυϚʔΫ
࣮ݧɿϞσϧͱֶशϥϕϧ • 1)2ٴͼ1)2ͷ݁ՌΛͱʹɺϥϕϧʢ͏ͭঢ়ଶɾ݈ৗঢ়ଶʣΛ࡞ • ֶशɾݕূɾςετηοτΛʹׂ • ࠷৽ͷϚϧνϞʔμϧ͏ͭঢ়ଶݕग़ϞσϧͰ͋Δ%FQ.BNCB<>Λར༻ • %"*$80;Ͱࣄલֶश㱺ߏஙͨ͠σʔληοτͰϑΝΠϯνϡʔχϯά
• ߏஙͨ͠σʔληοτ୯ମͰͷֶशͱൺֱ %"*$80; ߏஙͨ͠σʔληοτ σʔληοτ ࣄલֶश ϑΝΠϯνϡʔχϯά ! " ͏ͭঢ়ଶ ݈ৗ ࣄલֶशϞσϧ ϑΝΠϯνϡʔχϯά Ϟσϧ
࣮ݧ݁Ռ • %"*$80;ͷࣄલֶशΛߦ͏͜ͱͰɺ΄ͱΜͲͷධՁࢦඪ͕վળ • ϥϕϧͷภΓ͕͋ΔͨΊɺ୯ମͰͷֶश࣌ʹ࠶ݱ͕͔ͬͨ • ࣄલֶशΛߦ͏͜ͱͰେ෯ʹվળ͞Εʮ͏ͭঢ়ଶΛݟಀ͞ͳ͍Ϟσϧʯʹ
࣮ݧ݁Ռ • ҰํಛҟԼ͠ɺޡͬͯ͏ͭঢ়ଶΛݕग़ͯ͠͠·͏͕૿͑ͨ • 㱺ࠓޙσʔλΛ֦ॆͯ͠Ͱ͖Δ͚ͩϥϕϧͷภΓΛͳ͘͠ɺ ࠶ݱɾಛҟͱʹߴ͍ϞσϧͷߏஙΛࢦ͢
ࠓޙͷ՝ σʔλ֦ॆ wܧଓͯ͠σʔλΛऩू w͏ͭঢ়ଶɾ݈ৗঢ়ଶͷϥϕϧͷภΓΛͰ͖Δ͚ͩͳ͘͢ ٬؍Ξϊςʔγϣϯͷ༩ wओ؍ϥϕϧʢඃݧऀͷΞϯέʔτ݁Ռʣ͔͍͍ͯ͠ͳ͍ wୈࡾऀɾઐՈʢਫ਼ਆՊҩͳͲʣʹΑΔΞϊςʔγϣϯΛ࣮ࢪ
Ϟσϧֶशͷ w1)2Ҏ֎ͷΞϯέʔτ݁Ռ٬؍Ξϊςʔγϣϯར༻ֶͯ͠श
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