\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/25409\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\ub85c, \uadf8 \ud65c\uc6a9 \ubd84\uc57c\uac00 \uc810\uc810 \ub113\uc5b4\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd(Deep Learning)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8, \ud2b9\ud788 BERT(Bidirectional Encoder Representations from Transformers) \ubaa8\ub378\uc740 NLP \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BERT\uc758 \uac1c\ub150, \uad6c\uc870, \ud65c\uc6a9 \uc0ac\ub840, \uc7a5\ub2e8\uc810 \ub4f1\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. BERT\uc758 \uac1c\ub150 BERT\ub294 \uad6c\uae00(Google)\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 … \ub354 \ubcf4\uae30 "\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT)"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25409\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:54:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:01:52+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/25409\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25409\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT)\",\"datePublished\":\"2024-10-26T09:54:51+00:00\",\"dateModified\":\"2024-11-26T08:01:52+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25409\/\"},\"wordCount\":91,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/25409\/\",\"url\":\"https:\/\/atmokpo.com\/w\/25409\/\",\"name\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT) - 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{"id":25409,"date":"2024-10-26T09:54:51","date_gmt":"2024-10-26T09:54:51","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25409"},"modified":"2024-11-26T08:01:52","modified_gmt":"2024-11-26T08:01:52","slug":"%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-%eb%b2%84%ed%8a%b8bert","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25409\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT)"},"content":{"rendered":"

<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\ub85c, \uadf8 \ud65c\uc6a9 \ubd84\uc57c\uac00 \uc810\uc810 \ub113\uc5b4\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd(Deep Learning)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8, \ud2b9\ud788 BERT(Bidirectional Encoder Representations from Transformers) \ubaa8\ub378\uc740 NLP \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BERT\uc758 \uac1c\ub150, \uad6c\uc870, \ud65c\uc6a9 \uc0ac\ub840, \uc7a5\ub2e8\uc810 \ub4f1\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. BERT\uc758 \uac1c\ub150<\/h2>\n
BERT\ub294 \uad6c\uae00(Google)\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 \ud6c8\ub828\ub41c \uc5b8\uc5b4 \ubaa8\ub378\ub85c, 2018\ub144\uc5d0 \ubc1c\ud45c\ub418\uc5c8\uc2b5\ub2c8\ub2e4. BERT\ub294 \uc785\ub825 \ubb38\uc7a5\uc758 \uc591\ucabd \ubb38\ub9e5\uc744 \ub3d9\uc2dc\uc5d0 \uace0\ub824\ud558\ub294 \uc591\ubc29\ud5a5 \ubaa8\ub378\ub85c\uc11c, \uc774\ub85c \uc778\ud574 \uae30\uc874\uc758 \ub2e8\ubc29\ud5a5 \ubaa8\ub378\ubcf4\ub2e4 \ud14d\uc2a4\ud2b8\uc758 \uc758\ubbf8\ub97c \ub354 \uc815\ud655\ud558\uac8c \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. BERT\ub294 \uc0ac\uc804 \ud6c8\ub828(pre-training)\uacfc \ubbf8\uc138 \uc870\uc815(fine-tuning)\uc774\ub77c\ub294 \ub450 \uac00\uc9c0 \uacfc\uc815\uc73c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4.<\/p>\n

2. BERT\uc758 \uad6c\uc870<\/h2>\n
BERT\ub294 Transformer \uad6c\uc870\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uba70, \uc785\ub825 \ub370\uc774\ud130\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ud615\uc2dd\uc73c\ub85c \ucc98\ub9ac\ub429\ub2c8\ub2e4:<\/p>\n
\n
\uc785\ub825 \ud14d\uc2a4\ud2b8\ub294 \ud1a0\ud070\ud654\ub418\uc5b4 \uc218\uce58\ud654\ub41c \ud1a0\ud070\uc73c\ub85c \ubcc0\ud658\ub429\ub2c8\ub2e4.<\/li>\n
\uac01 \ud1a0\ud070\uc740 \uace0\uc815\ub41c \ud06c\uae30\uc758 \ubca1\ud130\ub85c \ubcc0\ud658\ub429\ub2c8\ub2e4.<\/li>\n
\uc785\ub825 \uc784\ubca0\ub529\uc5d0 \uc704\uce58 \uc815\ubcf4(position encoding)\uac00 \ucd94\uac00\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n
\uc774 \uacfc\uc815\uc774 \uc644\ub8cc\ub418\uba74, Transformer\uc758 \uc778\ucf54\ub354 \ube14\ub85d\uc744 \ud1b5\ud574 \ubb38\uc7a5 \ub0b4\ubd80\uc758 \uac01 \ub2e8\uc5b4\uac00 \uc11c\ub85c\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\uc5ec \ubb38\ub9e5\uc744 \ud615\uc131\ud569\ub2c8\ub2e4.<\/p>\n
2.1 Transformer \uc544\ud0a4\ud14d\ucc98<\/h3>\n
Transformer\ub294 \uc778\ucf54\ub354(Encoder)\uc640 \ub514\ucf54\ub354(Decoder)\ub85c \uad6c\uc131\ub41c \uad6c\uc870\ub85c, BERT\uc5d0\uc11c\ub294 \uc778\ucf54\ub354\ub9cc \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc778\ucf54\ub354\uc758 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\uc140\ud504 \uc5b4\ud150\uc158(Self-Attention)<\/strong>: \uc785\ub825\ub41c \ubaa8\ub4e0 \ud1a0\ud070 \uc0ac\uc774\uc758 \uc0c1\uad00\uad00\uacc4\ub97c \uacc4\uc0b0\ud558\uc5ec \uac01 \ud1a0\ud070\uc758 \uc911\uc694\ub3c4\ub97c \ud3c9\uac00\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ud2b9\uc815 \ub2e8\uc5b4\uac00 \uac16\ub294 \uc911\uc694\uc131\uc744 \uad00\uacc4\uc5d0 \ub530\ub77c \ub3d9\uc801\uc73c\ub85c \uc870\uc815\ud569\ub2c8\ub2e4.<\/li>\n
\ud53c\ub4dc\ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd(Feed-Forward Neural Network)<\/strong>: \uc5b4\ud150\uc158 \uacb0\uacfc\ub97c \ubcf4\uc644\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n
\uce35 \uc815\uaddc\ud654(Layer Normalization)<\/strong>: \ud559\uc2b5\uc758 \uc548\uc815\uc131\uc744 \ub192\uc774\uace0, \ud559\uc2b5 \uc18d\ub3c4\ub97c \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2.2 \uc785\ub825 \ud45c\ud604<\/h3>\n
BERT\uc758 \uc785\ub825\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \ud615\uc2dd\uc73c\ub85c \uc774\ub8e8\uc5b4\uc838\uc57c \ud569\ub2c8\ub2e4:<\/p>\n
\n
\ud1a0\ud070 (Token): \ubb38\uc7a5\uc758 \uac01 \ub2e8\uc5b4\ub97c \uc758\ubbf8\ud558\ub294 \uc2dd\ubcc4\uc790(ID)<\/li>\n
\uc138\uadf8\uba3c\ud2b8 (Segment): \uc785\ub825 \ubb38\uc7a5\uc774 \ub450 \uac1c\uc778 \uacbd\uc6b0, \uccab \ubc88\uc9f8 \ubb38\uc7a5\uc740 0, \ub450 \ubc88\uc9f8 \ubb38\uc7a5\uc740 1\ub85c \uad6c\ubd84\ud569\ub2c8\ub2e4.<\/li>\n
\uc704\uce58 \uc784\ubca0\ub529 (Position Embedding): \ud1a0\ud070\uc774 \ubb38\uc7a5 \ub0b4\uc5d0\uc11c \uc5b4\ub5a4 \uc704\uce58\uc5d0 \uc788\ub294\uc9c0\ub97c \ub098\ud0c0\ub0b4\ub294 \uc815\ubcf4\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3. BERT\uc758 \uc0ac\uc804 \ud6c8\ub828<\/h2>\n
BERT\ub294 \ub450 \uac00\uc9c0 \uc791\uc5c5\uc744 \ud1b5\ud574 \uc0ac\uc804 \ud6c8\ub828\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uac70\ub300\ud55c \uaddc\ubaa8\uc758 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5b8\uc5b4\uc758 \uae30\ucd08 \uad6c\uc870\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/p>\n
3.1 \ub9c8\uc2a4\ud06c\ub41c \uc5b8\uc5b4 \ubaa8\ub378\ub9c1(Masked Language Model, MLM)<\/h3>\n
MLM\uc740 \uc785\ub825 \ubb38\uc7a5\uc758 \uc77c\ubd80 \ub2e8\uc5b4\ub97c \ubb34\uc791\uc704\ub85c \ub9c8\uc2a4\ud0b9(Masking)\ud55c \ud6c4, \uc774 \ub9c8\uc2a4\ud06c\ub41c \ub2e8\uc5b4\ub97c \uc608\uce21\ud558\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, ‘\ub098\ub294 [MASK]\ub97c \uc88b\uc544\ud55c\ub2e4.’\ub77c\ub294 \ubb38\uc7a5\uc5d0\uc11c ‘[MASK]’\ub97c \uc608\uce21\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc744 \ud1b5\ud574 BERT\ub294 \ubb38\ub9e5\uc758 \uc758\ubbf8\ub97c \uc774\ud574\ud558\uac8c \ub429\ub2c8\ub2e4.<\/p>\n
3.2 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21(Next Sentence Prediction, NSP)<\/h3>\n
NSP\ub294 \ub450 \uac1c\uc758 \ubb38\uc7a5\uc744 \uc785\ub825\ubc1b\uc544 \ub450 \ubc88\uc9f8 \ubb38\uc7a5\uc774 \uccab \ubc88\uc9f8 \ubb38\uc7a5\uc758 \ub2e4\uc74c \ubb38\uc7a5\uc778\uc9c0 \uc544\ub2cc\uc9c0\ub97c \uc608\uce21\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc774\ub294 \ubb38\uc7a5 \uac04\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/p>\n
4. BERT\uc758 \ubbf8\uc138 \uc870\uc815<\/h2>\n
BERT\uc758 \ubbf8\uc138 \uc870\uc815\uc740 \ud2b9\uc815 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0 \ub9de\ucdb0 \ubaa8\ub378\uc744 \uc870\uc815\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uac10\uc815 \ubd84\uc11d, \uc9c8\uc758 \uc751\ub2f5, \uac1c\uccb4\uba85 \uc778\uc2dd \ub4f1\uc758 \uc791\uc5c5\uc5d0\uc11c BERT\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubbf8\uc138 \uc870\uc815 \uacfc\uc815\uc5d0\uc11c\ub294 \uc804\uccb4 BERT \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uac70\ub098 \ubaa8\ub378\uc758 \uc77c\ubd80\ub9cc \ud6c8\ub828\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
5. BERT\uc758 \ud65c\uc6a9 \uc0ac\ub840<\/h2>\n
BERT\ub294 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0\uc11c \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc608\ub85c\ub294:<\/p>\n
\n
\uc9c8\uc758 \uc751\ub2f5 \uc2dc\uc2a4\ud15c:<\/strong> \uc0ac\uc6a9\uc790\uc758 \uc9c8\ubb38\uc5d0 \ub300\ud574 \uc801\uc808\ud55c \ub2f5\ubcc0\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
\uac10\uc815 \ubd84\uc11d:<\/strong> \uc8fc\uc5b4\uc9c4 \ud14d\uc2a4\ud2b8\uc5d0\uc11c \uae0d\uc815, \ubd80\uc815 \ub4f1\uc758 \uac10\uc815\uc744 \ud310\ubcc4\ud569\ub2c8\ub2e4.<\/li>\n
\uac1c\uccb4\uba85 \uc778\uc2dd(Named Entity Recognition, NER):<\/strong> \ubb38\uc7a5\uc5d0\uc11c \uae30\uc5c5\uba85, \uc778\ubb3c\uba85, \uc7a5\uc18c\uba85 \ub4f1\uc744 \uc778\uc2dd\ud569\ub2c8\ub2e4.<\/li>\n
\ud14d\uc2a4\ud2b8 \uc694\uc57d:<\/strong> \uae34 \ud14d\uc2a4\ud2b8\ub97c \uc694\uc57d\ud558\uc5ec \uc911\uc694\ud55c \ub0b4\uc6a9\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
6. BERT\uc758 \uc7a5\ub2e8\uc810<\/h2>\n
6.1 \uc7a5\uc810<\/h3>\n
\n
\uc591\ubc29\ud5a5 \ubb38\ub9e5 \uc774\ud574:<\/strong> BERT\ub294 \uc591\ubc29\ud5a5\uc73c\ub85c \ubb38\ub9e5\uc744 \uc774\ud574\ud558\uae30 \ub54c\ubb38\uc5d0, \uc758\ubbf8\ub97c \ub354\uc6b1 \uc815\ud655\ud558\uac8c \uc804\ub2ec\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378:<\/strong> \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub97c \ubbf8\ub9ac \ud559\uc2b5\ud588\uae30 \ub54c\ubb38\uc5d0, \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \uc27d\uac8c \uc801\uc751\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\uc801\uc6a9 \uc6a9\uc774\uc131:<\/strong> API \ud615\ud0dc\ub85c \uc81c\uacf5\ub418\uace0 \uc788\uc5b4, \uc0ac\uc6a9\uc790\ub4e4\uc774 \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
6.2 \ub2e8\uc810<\/h3>\n
\n
\ubaa8\ub378 \ud06c\uae30:<\/strong> BERT\ub294 \ub9e4\uc6b0 \ud070 \ubaa8\ub378\ub85c, \ud559\uc2b5 \ubc0f \ucd94\ub860\uc5d0 \ub9ce\uc740 \ucef4\ud4e8\ud305 \uc790\uc6d0\uc744 \uc18c\ubaa8\ud569\ub2c8\ub2e4.<\/li>\n
\ud6c8\ub828 \uc2dc\uac04:<\/strong> \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\ub294 \ub370 \uc0c1\ub2f9\ud55c \uc2dc\uac04\uc774 \uc18c\uc694\ub429\ub2c8\ub2e4.<\/li>\n
\ub3c4\uba54\uc778 \ud2b9\ud654:<\/strong> \ud2b9\uc815 \ub3c4\uba54\uc778\uc5d0 \ub9de\ucdb0 \ud6c8\ub828\ub418\uc9c0 \uc54a\uc740 \uacbd\uc6b0, \uc131\ub2a5\uc774 \uc800\ud558\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
7. BERT\uc758 \ubc1c\uc804\uacfc \ud6c4\uc18d \ubaa8\ub378<\/h2>\n
BERT \ucd9c\uc2dc \uc774\ud6c4, \ub9ce\uc740 \uc5f0\uad6c\uac00 \uc774\ub8e8\uc5b4\uc84c\uace0, \uadf8 \uacb0\uacfc \ub2e4\uc591\ud55c \uac1c\uc120\ub41c \ubaa8\ub378\uc774 \ucd9c\ud604\ud588\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, RoBERTa, ALBERT, DistilBERT \ub4f1\uc774 \uc788\uc73c\uba70, \uac01 \ubaa8\ub378\uc740 BERT\uc758 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud558\uac70\ub098 \uc131\ub2a5\uc744 \uac1c\uc120\ud558\uae30 \uc704\ud574 \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\ub4e4\uc740 \ub2e4\uc591\ud55c NLP \ud0dc\uc2a4\ud06c\uc5d0\uc11c BERT\ubcf4\ub2e4 \uc6b0\uc218\ud55c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
8. \uacb0\ub860<\/h2>\n
BERT\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0 \ud070 \ud601\uc2e0\uc744 \uac00\uc838\uc628 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uadf8 \uc591\ubc29\ud5a5 \ubb38\ub9e5 \uc774\ud574 \ub2a5\ub825 \ub355\ubd84\uc5d0 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0\uc11c \ub192\uc740 \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc73c\uba70, \uc774\ub85c\uc368 \ub9ce\uc740 \uae30\uc5c5\uc774 BERT\ub97c \ud65c\uc6a9\ud558\uc5ec \ube44\uc988\ub2c8\uc2a4 \uac00\uce58\ub97c \ucc3d\ucd9c\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\uc758 \uc5f0\uad6c\uc5d0\uc11c BERT\uc758 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud558\uace0, \ub354 \ub098\uc544\uac00 \uc0c8\ub85c\uc6b4 NLP \ubaa8\ub378\uc774 \ub4f1\uc7a5\ud558\ub294 \uac83\uc744 \uae30\ub300\ud574 \ubd05\ub2c8\ub2e4.<\/p>\n
\uc774 \uae00\uc5d0\uc11c BERT\uc758 \uac1c\ub150\uacfc \uad6c\uc870, \uc0ac\uc804 \ud6c8\ub828 \ubc0f \ubbf8\uc138 \uc870\uc815, \ud65c\uc6a9 \uc0ac\ub840\uc640 \uc7a5\ub2e8\uc810\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. BERT\ub97c \ud65c\uc6a9\ud55c \ub2e4\uc591\ud55c \ud504\ub85c\uc81d\ud2b8\ub098 \uc5f0\uad6c\ub97c \uacc4\ud68d\ud558\uace0 \uacc4\uc2e0\ub2e4\uba74, \uc774 \uc815\ubcf4\ub97c \ucc38\uace0\ud558\uc2dc\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
\n
\u00a9 2023 \ube14\ub85c\uadf8 \uc791\uc131\uc790<\/p>\n<\/footer>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\ub85c, \uadf8 \ud65c\uc6a9 \ubd84\uc57c\uac00 \uc810\uc810 \ub113\uc5b4\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd(Deep Learning)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8, \ud2b9\ud788 BERT(Bidirectional Encoder Representations from Transformers) \ubaa8\ub378\uc740 NLP \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BERT\uc758 \uac1c\ub150, \uad6c\uc870, \ud65c\uc6a9 \uc0ac\ub840, \uc7a5\ub2e8\uc810 \ub4f1\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. BERT\uc758 \uac1c\ub150 BERT\ub294 \uad6c\uae00(Google)\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT)”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-25409","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/25409\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ubc84\ud2b8(BERT) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\ub85c, \uadf8 \ud65c\uc6a9 \ubd84\uc57c\uac00 \uc810\uc810 \ub113\uc5b4\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd(Deep Learning)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8, \ud2b9\ud788 BERT(Bidirectional Encoder Representations from Transformers) \ubaa8\ub378\uc740 NLP \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BERT\uc758 \uac1c\ub150, \uad6c\uc870, \ud65c\uc6a9 \uc0ac\ub840, \uc7a5\ub2e8\uc810 \ub4f1\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. 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