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LINE Data Labs - Possibility of AI Technology

LINE Data Labs - Possibility of AI Technology

LINE Corporation:https://linecorp.com/ja/
LINE Engineering:https://engineering.linecorp.com/ja/
LINE 採用情報:https://linecorp.com/ja/career/

LINE Developers

February 25, 2020
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  1. LINE Data Labs
    Possibility of
    AI Technology
    ೔ຊޠ

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  2. ࢲͨͪͷϛογϣϯ͸ɺੈքதͷਓͱਓɺਓͱ৘ใɾαʔϏεͱͷڑ཭ΛॖΊΔ͜ͱͰ͢ɻ
    LINE͸ɺ
    2011೥3݄11೔ʹ೔ຊͰൃੜͨ͠਒ࡂΛ͖͔͚ͬʹɺ
    ϞόΠϧϝοηϯδϟʔͱͯ͠ੜ·Ε·ͨ͠Ň
    Ո଒΍༑ਓɾ࿀ਓͳͲɺ਎ۙʹ͍Δେ੾ͳਓͱͷؔ܎ੑΛਂΊɺឺΛڧ͘͢Δίϛϡχέʔγϣϯखஈ
    ͕ͦ͜ɺ೔ຊͷΈͳΒͣੈքதͰٻΊΒΕ͍ͯΔͱߟ͑ɺ2011೥6݄ʹαʔϏεΛ։࢝͠·ͨ͠ɻ͍·΍ɺ
    LINE͸೔ຊΛ͸͡Ίɺ
    ΞδΞ஍ҬΛத৺ʹྗڧ͍੒௕Λଓ͚ɺ
    ੈքͰ਺ԯਓʹར༻͞ΕΔϞόΠϧϝοηϯ
    δϟʔ΁ͱ੒௕͍ͯ͠·͢ɻ
    ࢲͨͪ͸ɺ
    ୯ʹੈքڞ௨ʹըҰԽ͞ΕͨάϩʔόϧαʔϏεͰ͸ͳ͘ɺ
    ֤ࠃͷଟछଟ༷ͳจԽɾ׳शΛଚॏ͠Ŋ
    lαʔϏεΛΧϧνϟϥΠζ
    ʢจԽԽʣ
    z͍ͯ͘͜͠ͱ͕ͦ͜ɺ
    ͦͷࠃͰɺ
    ͦͷ౔஍ͰɺαʔϏεΛਅʹࠜ෇͔ͤŊ
    ੒௕͍ͤͯͨ͘͞Ίʹେ੾ͳ͜ͱͩͱڧ͘৴͍ͯ͡·͢ɻ͜Ε͔ΒɺϞόΠϧϝοηϯδϟʔͱͯ͠஀ੜͨ͠
    LINE͸ɺϞόΠϧ্ͷϢʔβʔχʔζΛ౷߹తʹղܾ͍ͯ͘͠ɺεϚʔτϙʔλϧ΁ͱਐԽ͍͖ͯ͠·͢ɻ
    ਓ΍৘ใɾίϯςϯπɺΦϯϥΠϯɾΦϑϥΠϯαʔϏεͳͲ͋ΒΏΔ΋ͷͱϢʔβʔ͕͍ͭͰ΋ɺͲ͜Ͱ΋Ŋ
    ࠷దͳڑ཭ͰγʔϜϨεʹܨ͕͍ͬͯ͘ɺ
    LINEΛೖΓޱͱͯ͠ੜ׆ͷશ͕ͯ׬݁͢Δੈքͷ࣮ݱΛ໨ࢦͯ͠
    ͍͖·͢ɻ
    LINE͸ɺ͋ͳͨͱੈքΛͭͳ͗ɺຖ೔Λڞʹաͯ͘͝͠ΕΔɺ
    ͦΜͳɺՈ଒΍༑ਓͷΑ͏ͳଘࡏʹͳΓ͍ͨͱ
    ࢥ͍ͬͯ·͢ɻ
    About LINE

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  3. LINEͰ͸ɺ
    ϝοηϯδϟʔΛؚΊͨશαʔϏεͷσʔλ෼ੳɾݚڀɾԠ༻ͷͨΊʹઐ໳తͳ
    ૊৫Λฤ੒͍ͯ͠·͢ɻ ֤αʔϏεͷϩά΍ར༻ಈ޲ͳͲͷσʔλΛࣄۀྖҬΛ௒͑ͯ
    ԣஅతʹॲཧ͠ɺΑΓਫ਼ີͳσʔλ෼ੳͱ৘ใϑΟϧλϦϯάΛఏڙ͢Δ͜ͱͰɺશαʔ
    Ϗεͷσʔλͷޮ཰తͳ׆༻Λ໨ࢦ͍ͯ͠·͢ɻ
    σʔλϓϥοτϑΥʔϜͷઃܭɾ։ൃɾӡӦΛ͸͡Ίͱͯ͠ɺ஝ੵ͞Εͨσʔλͷਫ਼੡Ŋ
    ػցֶशΛج൫ʹͨ͠ίϯςϯπਪનɾϑΟϧλϦϯάɾϢʔβʔλʔήςΟϯάͳͲͷ
    ߴ౓ͳσʔλ෼ੳΛߦ͍ɺࣄۀઓུͷߏங΍ࣄۀͷ࠷దԽ࡞ۀΛ֤ࣄۀ૊৫ͱͱ΋ʹ
    ਱ߦ͍ͯ͠·͢ɻ
    Data ScienceνʔϜͰ͸ɺLINEͷαʔϏεՁ஋ͷ࠷େԽΛσʔλ෼ੳʹΑ࣮ͬͯݱͯ͠
    ͍·͢ɻLINEͷ֤αʔϏε΍νʔϜԣஅͷϓϩδΣΫτʹ͓͍ͯɺॏཁͳҙࢥܾఆͷࢧԉŊ
    ՝୊ͷղܾࡦͷఏҊͱ࣮ߦɺࢪࡦͷݕূͱվળΛҰؾ௨؏Ͱ࣮ࢪ͢Δ͜ͱͰɺΑΓྑ͍
    αʔϏεͮ͘ΓΛՃ଎ͤ͞Δ͜ͱ͕ϛογϣϯͰ͢ɻ LINEͷϝοηϯδϟʔ͸ඇৗʹ
    େن໛ͳϢʔβʔج൫Λ͓࣋ͬͯΓɺ
    ͜ΕʹՃ͑ͯɺଟ਺ͷϑΝϛϦʔαʔϏε͔Βඇৗʹ
    ଟ༷ͳσʔλ͕ಘΒΕ·͢ɻ͜ͷੈքతن໛ͷϢʔβʔσʔλͷ෼ੳΛ௨ͯ͠LINEͷ
    ࣄۀͷൃలʹߩݙͰ͖Δ͜ͱ͕ɺେ͖ͳັྗͷҰͭͰ͢ɻ
    ҰํɺMachine LearningνʔϜͰ͸ɺطଘαʔϏεͷվળ΍৽نαʔϏεͷاըΛ
    ߦ͏ͨΊͷɺֵ৽తͳػցֶश͓ΑͼσʔλϚΠχϯάٕज़Λ։ൃ͍ͯ͠·͢ɻػց
    ֶशʹؔ͢Δ৽͍ٕ͠ज़ɾ஌ݟΛ׆͔͠ɺαʔϏεվળ΍৽ͨͳاըͷ࣮ݱΛݕ౼ɾ࣮ફ
    ͍ͯ͠·͢ɻ
    Data Science /
    Machine Learning

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  4. Research
    LINEͰ͸ɺࠓޙࣄۀΛ֦େ͢Δ্ͰجૅͱͳΔٕज़ɺಛʹਓ޻஌ೳʹؔΘΔݚڀΛਐΊ͍ͯ·͢ɻ۩ମ
    తͳݚڀྖҬ͸ɺػցֶशΛ࣠ʹɺԻ੠ॲཧɺݴޠॲཧɺը૾ॲཧͳͲͰ͢ɻ
    Ұൠతʹɺاۀ಺ݚڀॴ͸ݚڀ੒Ռͷ੡඼ԽΛ໨తͱ͍ͯ͠Δ͜ͱ͕ଟ͍Ͱ͕͢ɺ LINEͰ͸ɺ੡඼Խʹ
    ௚݁͢ΔݚڀͰ͸ͳ͘ɺٕज़։ൃ ɾൃ໌Λ໨తͱ͍ͯ͠·͢ɻ ݚڀһ͸·ͩগ਺Ͱ͕͢ɺݚڀςʔϚʹ
    ͍ͭͯ͸ɺ೔ຊࠃ಺ͷଟ਺ͷେֶͱ࿈ܞ͠ɺڞಉݚڀΛߦ͏ମ੍Λඋ͍͑ͯ·͢ɻࠓޙ͸ւ֎ͷݚڀػؔ
    ͱͷ࿈ܞ΋ࢹ໺ʹೖΕ͍ͯ·͢ɻ
    ݚڀһ͸ʮࠃࡍձٞͰ࿦จ͕࠾୒͞ΕͯධՁ͞ΕΔ͜ͱʯ͕།ҰͷϛογϣϯͰ͢ɻձ͔ࣾΒͷධՁͱŊ
    ݚڀһݸਓͱͯ͠ͷ࣮੷͕࿈ಈͨ͠ΫϦΞͳධՁମܥ͕ͻ͔Ε͓ͯΓɺࣥචʹ຅಄Ͱ͖ΔΑ͏ɺΦϑΟε͸
    ϦϥοΫεͰ͖Δ؀ڥ͕༻ҙ͞Ε͍ͯ·͢ɻݚڀҎ֎ͷࡶ຿΍ଧͪ߹Θͤʹ೰·͞ΕΔ͜ͱ͸͋Γ·ͤΜŇ
    ͱ͸͍͑ৗʹࣾ಺ʹด͜͡΋Δ͚ͩͰ͸ͳ͘ɺڞಉݚڀͷͨΊʹ͍ΖΜͳେֶΛ๚໰͠ɺ࠷ઌ୺ͷݚڀʹ
    ৮ΕΔػձ΋ଟ͍Ͱ͢ɻ·ͨLINEͰ͸ɺࣾ಺֎͔ΒAIྖҬͷୈҰਓऀΛট଴͢ΔΠϕϯτͳͲ΋සൟʹ
    ։࠵͓ͯ͠Γɺ֎෦͔Βͷܹࢗ͸ଟ͍؀ڥͰ͢ɻ
    اۀʹ͍ͳ͕ΒΞΧσϛοΫͳݚڀʹܞΘΓ͍ͨํʹ࠷దͳ؀ڥͰ͢ɻݚڀҙཉ͕Ԣ੝Ͱܹࢗతͳ؀ڥʹ
    ඈͼࠐΜͰΈ͍ͨํ͸ɺͥͻ͝Ԡื͍ͩ͘͞ʂ
    LINE' Selected Publications
    ICASSP2020
    1 M. Togami, Y. Masuyama, T. Komatsu, and Y. Nakagome, "Unsupervised Training for Deep Speech Source Separation
    with Kullback-Leibler Divergence based Probabilistic Loss Function"
    2 M. Togami, "Multi-channel Speech Source Separation and Dereverberation with Sequential Integration of
    Determined and Underdetermined Models"
    3 Y. Masuyama, M. Togami, and T. Komatsu "Consistency-Aware Multi-channel Speech Enhancement using Deep Neural
    Networks"
    4 Y. Nakagome, M. Togami, T. Ogawa, T. Kobayashi, "Deep Speech Extranction with Time-varying Spatial Filtering
    Guided by Desired Direction Attractor"
    5 T. Komatsu, K. Imoto, M. Togami, "Scene-dependent Acoustic Event Detection with Scene Conditioning and Fake-
    scene-conditioned Loss"
    6 K. Miyazaki, T. Komatsu, T. Hayashi, S. Watanabe, T. Toda, K. Takeda, "Weakly-Supervised Sound Event Detection with
    Self-attention"
    7 R. Yamamoto, E. Song, J.-M. Kim, "Parallel WaveGAN: A fast waveform generation model based on generative
    adversarial networks with multi-resolution spectrogram"
    8 M.-J. Hwang, E. Song, R. Yamamoto, F. Soong, H.-G. Kang, "Improving LPCNet-based Text-to-Speech with Linear
    Prediction-structured Mixture Density Network"
    BigData2019
    9 T. Takahashi, "Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks"
    INTERSPEECH2019
    10 Y. Masuyama, M. Togami, and T. Komatsu, "Multichannel Loss Function for Supervised Speech Source Separation by
    Mask-based Beamforming"
    11 M. Togami and T. Komatsu, "Variational Bayesian Multi-channel Speech Dereverberation under Noisy Environments
    with Probabilistic Convolutive Transfer Function"
    12 R. Yamamoto, E. Song, and J-.M. Kim, "Probability Density Distillation with Generative Adversarial Networks for High-
    Quality Parallel Waveform Generation"
    SIGIR2019
    13 W. Sakata, T. Shibata, R. Tanaka, and S. Kurohashi, "FAQ Retrieval using Query-Question Similarity and BERT-Based
    Query-Answer Relevance"
    ICASSP2019
    14 M. Togami, “Spatial Constraint on Multichannel Deep Clustering"
    15 M. Togami, “Multichannel Itakura Saito Distance Minimization with deep neural network”

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  5. ňClovaʯ(Ϋϩʔό ʣ͸ɺ೔ຊΛ͸͡ΊɺΞδΞͰτοϓγΣΞΛ࣋ͭίϛϡχέʔγϣϯΞϓϦͰ͋Δ
    ňLINEʯ
    ͱؖࠃNo.1ͷϙʔλϧαΠτ
    ʮNAVERʯ
    ͕ڞಉͰ։ൃ͍ͯ͠ΔAIΞγελϯτͰ͢ɻLINEͱNAVER͕
    ௕೥ʹΘͨΓݚڀΛଓ͚͍ͯΔੈք࠷ߴϨϕϧͷݕࡧɺԻ੠ೝࣝɾԻ੠߹੒ɺը૾ɾಈըͷ෼ੳɺࣗવݴޠ
    ॲཧ͓Αͼձ࿩ͳͲͷAIٕज़ʹՃ͑ɺLINEͱNAVER͕อ༗͍ͯ͠Δ਺ଟ͘ͷίϯςϯπ΍αʔϏεΛ׆༻
    ͢Δ͜ͱʹΑΓɺ
    ΑΓεϚʔτͳAIΞγελϯτΛ࣮ݱ͠·ͨ͠ɻ
    ·ͨɺ
    ୭΋͕ؾܰʹClovaϓϥοτϑΥʔϜΛ
    ׆༻ͯ͠৽ͨͳػೳʢClovaεΩϧʣ
    Λ࡞ΕΔΑ͏ʹ͓ͯ͠ΓɺϢʔβʔ͓Αͼ༷ʑͳύʔτφʔͱͱ΋ʹŊ
    ͞ΒʹศརͳੈքΛ࡞Ϧ্͛Δ͜ͱʹऔΓ૊ΜͰ͍·͢ɻ
    LINE͸ɺ͜Ε·ͰʹAIΞγελϯτʮClovaʯΛ͸͡Ίͱͯ͠ɺίϛϡχέʔγϣϯΞϓϦʮLINEʯ΍֤
    αʔϏεʹ͓͍ͯਂ૚ֶशΛϕʔεͱ༷ͨ͠ʑͳAIٕज़ͷ։ൃɺ౥ࡌΛਐΊ͖ͯ·ͨ͠ɻ
    ʮLINE BRAIN ʼn
    ࣄۀͰ͸ɺ͜Ε·ͰLINE͕ഓ͖ͬͯͨAIٕज़Λ֎෦اۀ౳ʹ޲͚ͯఏڙ͍ͯ͠·͢ɻ
    LINE BRAIN CHATBOT
    LINEެࣜΞΧ΢ϯτ౳ͱ࿈ܞͯ͠ར༻Ͱ͖ΔʮࣗવݴޠΛཧղ͠Ԡ౴͢Δٕज़ ʯͰ͢ɻର࿩ܗࣜͰ໨తୡ੒Λαϙʔτ
    ͠·͢ɻӡ༻ͷதͰAIֶ͕श͠ɺΑΓద੾ͳԠ౴Λ࣮ݱͰ͖ΔΑ͏ʹͳΓ·͢ɻ
    ʮ LINE BRAIN CHATBOTʯ͸ɺଞࣾͷ
    νϟοτϘοτٕज़ͱൺֱͨ͠ࡍʹ΋ɺ࣭໰ʹର͢Δճ౴ʹ͓͍ͯߴ͍ਖ਼ղ཰Λތ͍ͬͯ·͢ɻ
    LINE BRAIN OCR
    ࠃࡍձٞͰੈք࠷ߴਫ४ͷೝࣝਫ਼౓ΛތΔʮ ը૾಺ͷจࣈ΍จষΛςΩετσʔλ΁ม׵͢Δٕज़ ʯͰ͢ɻࣸਅ΍
    εΩϟϯͨ͠ҹ࡮จࣈɺεΫϦʔϯγϣοτ಺ͷจࣈΛਫ਼౓ߴ͘ೝࣝ͠·͢ɻʮLINE BRAIN OCRʯ͸ɺICDARͰAI
    ڝ߹ଞࣾΛ཈͑4෼໺ͰੈքNo.1Λ֫ಘ͍ͯ͠·͢
    ʢ2019. 03. 29࣌఺
    ɻ
    LINE BRAIN SPEECH TO TEXT
    ి࿩΍VoIPܦ༝ͰͷԻ੠௨࿩ʹ΋ରԠͨ͠ʮਓͷൃ࿩Λจࣈʹม׵͢Δٕज़ʯͰ͢ɻίϯλΫτηϯλʔʹ͓͚ΔϦΞϧ
    λΠϜͷԻ੠ࣗಈԠ౴΍ɺόονॲཧͰͷ௕จॻ͖ى͜͠ʹ΋ରԠͰ͖·͢ɻ੡඼໊ͳͲݻ༗ͳൃ࿩ͷೝࣝਫ਼౓վળ
    χʔζʹ΋Ԡ͡·͢ɻ
    Clova LINE BRAIN

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  6. Benefit and
    Support Programs
    ࣾһҰਓͻͱΓ͕৺਎ͱ΋ʹ݈߁ͳঢ়ଶͰ࢓ࣄʹूதͰ͖ΔΑ͏ɺ
    අ༻ิॿ΍ػձఏڙͰαϙʔτ͍ͯ͠·͢ɻ·ͨΑΓԁ׈ʹಇͨ͘Ίʹɺ
    ͞·͟·ͳ੍౓Λઃ͚͍ͯ·͢ɻ
    ࣾ಺਌ກඅ
    ࣾһಉ࢜ͷίϛϡχέʔγϣϯ׆ੑԽͷͨΊɺ
    ׻ૹܴձ΍ϥϯν౳ͷඅ༻ΛҰ෦ิॿ͢Δ੍౓͕͋Γ·͢Ň
    ϦϑϨογϡٳՋ
    ೖ͔ࣾΒຬ5೥͝ͱʹɺಛผٳՋΛ෇༩͓ΑͼϦϑϨογϡิॿۚΛࢧڅ͠·͢ɻҰఆͷظؒ೔ৗۀ຿
    ͔Β཭Εɺ৺਎ͷϦϑϨογϡͳͲࣗ༝ͳ࣌ؒΛա͍͚ͯͨͩ͝͠·͢ɻ
    ࣾ಺ެื
    ೖ͔ࣾΒҰఆظؒΛܦաͨࣾ͠һΛର৅ʹɺ֘౰ظؒʹࣾ಺Ͱެ։͞ΕΔืूϙδγϣϯʹԠืͯ͠
    બߟʹ௨Ε͹ɺ
    ࣗ෼ͷҙࢤͰҟಈͰ͖Δ੍౓͕͋Γ·͢ɻͳ͓ɺ
    બߟաఔ΍ͦͷ߹൱൑அʹݱॴଐ্௕͸
    ؔ༩͠·ͤΜɻ
    ֤छαʔϏεར༻ࢧԉ
    ࣾһ͕֤छαʔϏεΛΑΓؾܰʹར༻Ͱ͖ΔΑ͏ʹɺ
    LINE GAME΍LINEϚϯΨɺLINEελϯϓͳͲͷ
    ༗ྉίϯςϯπ͕ߪೖͰ͖ΔʮLINE STOREʯͰར༻Ͱ͖ΔΪϑτίʔυʢ೥ֹ24,000ԁ෼ʣΛࢧԉ
    ͍ͯ͠·͢ɻ
    LINEϞόΠϧճઢඅࢧԉ
    LINEϞόΠϧΛܖ໿͍ͯ͠Δࣾһʹରͯ͠ɺҰਓ1ճઢ·Ͱͷֹ݄جຊར༻ྉۚΛձ͕ࣾෛ୲͠·͢ɻ
    ޠֶྗΞοϓࢧԉ
    ࣾ಺Ͱबۀ࣌ؒલޙʹӳޠɾؖࠃޠɾ೔ຊޠͷޠֶߨ࠲Λ։ߨ͓ͯ͠Γɺશֹձࣾෛ୲ʢ5ׂҎ্ͷ
    ೔ఔΛग़੮ɾडߨ͕৚݅ʣͰडߨ͕ՄೳͰ͢ɻ·ͨɺTOEICͷࣾ಺ࢼݧͷػձΛઃ͚͓ͯΓɺडݧྉ͸
    શֹձࣾෛ୲Ͱ͢ɻ

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  7. Working
    Environment
    ࣾһ͕݈߁͔ͭշదʹಇ͚ΔͨΊͷࣾ಺αʔϏεɾઃඋɾۀ຿αϙʔτ
    ಺༰Λ͝঺հ͠·͢ɻ
    ˞ Ұ෦ΦϑΟεͰ͸ɺରԠ͍ͯ͠ͳ͍΋ͷ΋͋Γ·͢
    ࣾ಺ΧϑΣ
    ࣾ಺ʹٳܜ ɾަྲྀͳͲ͕Ͱ͖ΔΧϑΣεϖʔε͕͋Γɺ௿Ձ֨ͰίʔώʔͳͲҿΉ͜ͱ͕Ͱ͖·͢Ň
    ؆୯ͳձٞ΍࡞ۀ؀ڥͱͯ͠΋ར༻Ͱ͖·͢ɻ·͓ͨʹ͗Γ΍ύϯͳͲΛຖேແྉͰఏڙ͍ͯ͠·͢Ň
    ঢ߱ࣜσεΫ
    ϫϯλονͰߴ͕͞ม͑ΒΕΔσεΫͰ͢ɻனؒ͸࠲ͬͯɺ༦ํ͔Β͸ؾ෼స׵Ͱཱͬͯ࢓ࣄͳͲŊ
    ࣗ༝ͳελΠϧͰಇ͘͜ͱ͕Ͱ͖·͢ɻΞʔϩϯνΣΞΛ͸͡Ίͱ͢ΔߴػೳΦϑΟενΣΞͰ࢓ࣄΛ
    ͢Δ͜ͱ͕Ͱ͖·͢ɻ
    ւ֎ࢧԉ
    ඈߦػ΍ϗςϧͷख഑ͳͲͷग़ுαϙʔτɺॅډܖ໿΍ۓٸ࣌ͷಈ޲ͳͲͷ֎ࠃ੶ࣾһͷੜ׆αϙʔτŊ
    Ո଒ؚΉ৽نऔಘ΍มߋͳͲͷVISAαϙʔτΛߦ͍·͢ɻ
    ௨༁ɾ຋༁
    ௨༁Λඞཁͱ͢Δଧͪ߹Θͤ΍໘઀΁ͷಉ੮΍ɺࣾ಺֎ͷެࣜจॻͷ຋༁ͳͲɺϓϩͷ௨༁ɾ຋༁
    εΩϧΛ࣋ͭࣾһ͕ࡏ੶͠ɺ༷ʑͳίϛϡχέʔγϣϯΛαϙʔτ͍ͯ͠·͢ɻ
    LINE CARE
    έʔϒϧͳͲͷITඋ඼΍จ๪۩ͳͲͷඋ඼Ϩϯλϧɺࣾ಺Ͱͷམͱ͠෺΍खଓ͖ํ๏ͷ૬ஊͳͲۀ຿
    ্Ͱࠔͬͨ࣌ʹɺLINEͷνϟοτ΍ରਓΧ΢ϯλʔͳͲͷ૬ஊ૭ޱͰۀ຿Λαϙʔτ͍ͯ͠·͢ɻ

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  8. LINE creates
    WOW to the world
    LINE Corporation
    https://linecorp.com/ja/
    LINE Engineering
    https://engineering.linecorp.com/ja/
    LINE ࠾༻৘ใ
    https://linecorp.com/ja/career/

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