{"id":25353,"date":"2024-10-26T09:54:20","date_gmt":"2024-10-26T09:54:20","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25353"},"modified":"2024-11-26T08:02:04","modified_gmt":"2024-11-26T08:02:04","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-%ec%96%91%eb%b0%a9%ed%96%a5-lstm%ea%b3%bc-crf-bidirectional-lstm-crf","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25353\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc591\ubc29\ud5a5 LSTM\uacfc CRF (Bidirectional LSTM + CRF)"},"content":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\ub85c, \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \ud070 \ubcc0\ud654\uac00 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud2b9\ud788 \uc591\ubc29\ud5a5 LSTM(Bidirectional Long Short-Term Memory)\uacfc \uc870\uac74\ubd80 \uc784\uc758 \ud544\ub4dc(Conditional Random Field, CRF)\ub97c \uacb0\ud569\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub780?<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130 \uacfc\ud559, \uc778\uacf5\uc9c0\ub2a5, \uc5b8\uc5b4\ud559\uc758 \uad50\ucc28\uc810\uc5d0 \uc704\uce58\ud55c \ubd84\uc57c\ub85c, \ucef4\ud4e8\ud130\uac00 \uc790\uc5f0\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud558\ub294 \uac83\uc744 \ubaa9\ud45c\ub85c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc8fc\uc694 \uc751\uc6a9 \ubd84\uc57c\uc785\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\ubb38\uc11c \uc694\uc57d<\/li>\n<li>\uac10\uc131 \ubd84\uc11d<\/li>\n<li>\uae30\uacc4 \ubc88\uc5ed<\/li>\n<li>\uc9c8\ubb38 \ub2f5\ubcc0 \uc2dc\uc2a4\ud15c<\/li>\n<li>\uac1c\uccb4\uba85 \uc778\uc2dd(NER)<\/li>\n<\/ul>\n<h2>2. \ub525 \ub7ec\ub2dd\uc758 \ub3c4\uc785<\/h2>\n<p>\uc804\ud1b5\uc801\uc778 NLP \uae30\ubc95\ub4e4\uc740 \uc885\uc885 \uc218\uc791\uc5c5\uc73c\ub85c \uc124\uacc4\ud55c \uaddc\uce59\uacfc \ud2b9\uc131\uc744 \uc0ac\uc6a9\ud588\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc73c\ub85c, \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub85c\ubd80\ud130 \uc790\ub3d9\uc73c\ub85c \ud2b9\uc9d5\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc774 \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 LSTM\uacfc \uac19\uc740 \uc21c\ud658 \uc2e0\uacbd\ub9dd(RNN)\uc740 \ud14d\uc2a4\ud2b8\uc640 \uac19\uc740 \uc21c\ucc28 \ub370\uc774\ud130\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ucc98\ub9ac\ud558\ub294 \ub370 \uac15\uc810\uc744 \uac00\uc9d1\ub2c8\ub2e4.<\/p>\n<h2>3. LSTM\uc758 \uae30\ubcf8 \uad6c\uc870<\/h2>\n<p>LSTM\uc740 RNN\uc758 \ud55c \ubcc0\ud615\uc73c\ub85c, \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4. LSTM\uc740 \uc138 \uac00\uc9c0 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\uc778 \uc140 \uc0c1\ud0dc(Cell State), \uc785\ub825 \uac8c\uc774\ud2b8(Input Gate), \ucd9c\ub825 \uac8c\uc774\ud2b8(Output Gate)\ub97c \ud3ec\ud568\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \ub124\ud2b8\uc6cc\ud06c\uac00 \uc815\ubcf4\ub97c \uc7a5\uae30\uc801\uc73c\ub85c \uae30\uc5b5\ud558\uace0 \uc78a\uc744 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.<\/p>\n<h3>3.1 LSTM\uc758 \uc791\ub3d9 \uc6d0\ub9ac<\/h3>\n<p>LSTM\uc758 \uc791\ub3d9 \uc6d0\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc785\ub825 \uac8c\uc774\ud2b8:<\/strong> \ud604\uc7ac \uc785\ub825 \ub370\uc774\ud130\uc640 \uc774\uc804\uc758 \uc740\ub2c9 \uc0c1\ud0dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5b4\ub5a4 \uc815\ubcf4\ub97c \uae30\uc5b5\ud560\uc9c0 \uacb0\uc815\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc140 \uc0c1\ud0dc \uc5c5\ub370\uc774\ud2b8:<\/strong> \uc720\ud6a8\ud55c \uc785\ub825\uc744 \uae30\ubc18\uc73c\ub85c \uc140 \uc0c1\ud0dc\ub97c \uc5c5\ub370\uc774\ud2b8\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ucd9c\ub825 \uac8c\uc774\ud2b8:<\/strong> \ub2e4\uc74c \ub2e8\uacc4\ub85c \ubcf4\ub0bc \uc140 \uc0c1\ud0dc\ub97c \uacb0\uc815\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>4. \uc591\ubc29\ud5a5 LSTM(Bidirectional LSTM)<\/h2>\n<p>\uc591\ubc29\ud5a5 LSTM\uc740 \ub450 \uac1c\uc758 LSTM \ub808\uc774\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825 \uc2dc\ud000\uc2a4\ub97c \ub450 \ubc29\ud5a5\uc73c\ub85c \ucc98\ub9ac\ud569\ub2c8\ub2e4. \ud558\ub098\ub294 \uacfc\uac70 \uc815\ubcf4\ub97c, \ub2e4\ub978 \ud558\ub098\ub294 \ubbf8\ub798 \uc815\ubcf4\ub97c \ucea1\ucc98\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774\ub294 \ud2b9\ud788 \ubb38\ub9e5\uc774 \uc911\uc694\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0 \uc720\ub9ac\ud569\ub2c8\ub2e4.<\/p>\n<h3>4.1 \uc591\ubc29\ud5a5 LSTM\uc758 \uc7a5\uc810<\/h3>\n<ul>\n<li>\ubb38\ub9e5 \uc815\ubcf4\uc758 \uade0\ud615 \uc7a1\ud78c \ucea1\ucc98<\/li>\n<li>\ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0\uc11c \uc131\ub2a5 \ud5a5\uc0c1<\/li>\n<\/ul>\n<h2>5. \uc870\uac74\ubd80 \uc784\uc758 \ud544\ub4dc(CRF)<\/h2>\n<p>CRF\ub294 \uc2dc\ud000\uc2a4 \ub808\uc774\ube14\ub9c1 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \ud1b5\uacc4\uc801 \ubaa8\ub378\uc785\ub2c8\ub2e4. CRF\ub294 \uc8fc\uc5b4\uc9c4 \uc785\ub825 \uc2dc\ud000\uc2a4\uc5d0 \ub300\ud574 \ucd9c\ub825 \ub808\uc774\ube14\uc758 \uc870\uac74\ubd80 \ud655\ub960\uc744 \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 CRF\uc758 \uc8fc\uc694 \ud2b9\uc9d5\uc785\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc804\uc774 \ud655\ub960(transmission probabilities)\uc5d0 \uae30\ubc18\ud55c \ub808\uc774\ube14 \uac04\uc758 \uc885\uc18d\uc131 \ubaa8\ub378\ub9c1<\/li>\n<li>\ubcf5\uc7a1\ud55c \ud328\ud134 \uc778\uc2dd \uac00\ub2a5<\/li>\n<\/ul>\n<h2>6. Bidirectional LSTM + CRF \uc544\ud0a4\ud14d\ucc98<\/h2>\n<p>\uc591\ubc29\ud5a5 LSTM\uacfc CRF\ub97c \uacb0\ud569\ud55c \uc544\ud0a4\ud14d\ucc98\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4. \uc774 \uc870\ud569\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc591\ubc29\ud5a5 LSTM\uc740 \uac01 \uc785\ub825 \ud1a0\ud070\uc5d0 \ub300\ud55c \ucee8\ud14d\uc2a4\ud2b8 \ubca1\ud130\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n<li>CRF\ub294 \uc774 \ucee8\ud14d\uc2a4\ud2b8 \ubca1\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucd9c\ub825 \ub808\uc774\ube14 \uc2dc\ud000\uc2a4\ub97c \ucd5c\uc801\ud654\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>6.1 \ubaa8\ub378 \uad6c\uc870<\/h3>\n<p>\uc77c\ubc18\uc801\uc778 Bidirectional LSTM + CRF \uc544\ud0a4\ud14d\ucc98\uc758 \uad6c\uc870\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ol>\n<li>\ub2e8\uc5b4 \uc785\ub825 \uc804\ucc98\ub9ac<\/li>\n<li>\uc784\ubca0\ub529 \uce35\uc744 \ud1b5\ud55c \ub2e8\uc5b4 \uc784\ubca0\ub529<\/li>\n<li>\uc591\ubc29\ud5a5 LSTM\uc744 \ud1b5\ud55c \uc2dc\ud000\uc2a4 \ucc98\ub9ac<\/li>\n<li>CRF \uce35\uc744 \ud1b5\ud55c \ub808\uc774\ube14 \uc608\uce21<\/li>\n<\/ol>\n<h2>7. \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd\uacfc \uad50\uc721<\/h2>\n<p>\ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc801\uc808\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \uc120\ud0dd\ud574\uc57c \ud569\ub2c8\ub2e4. \uc8fc\uc694 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\ud559\uc2b5\ub960(Learning Rate)<\/li>\n<li>\ubc30\uce58 \ud06c\uae30(Batch Size)<\/li>\n<li>\uc5d0\ud3ec\ud06c(Epochs)<\/li>\n<li>\ub4dc\ub86d\uc544\uc6c3 \ube44\uc728(Dropout Rate)<\/li>\n<\/ul>\n<h2>8. \ud3c9\uac00 \uc9c0\ud45c<\/h2>\n<p>\ubaa8\ub378\uc758 \uc131\ub2a5\uc740 \ub2e4\uc74c\uc758 \uc5ec\ub7ec \ud3c9\uac00 \uc9c0\ud45c\ub97c \ud1b5\ud574 \uce21\uc815\ub429\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc815\ud655\ub3c4(Accuracy)<\/li>\n<li>\uc815\ubc00\ub3c4(Precision)<\/li>\n<li>\uc7ac\ud604\uc728(Recall)<\/li>\n<li>F1 Score<\/li>\n<\/ul>\n<h2>9. \uc2e4\uc81c \uc0ac\ub840<\/h2>\n<p>Bidirectional LSTM + CRF \uc544\ud0a4\ud14d\ucc98\ub294 \uc774\ubbf8 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubb38\uc81c\uc5d0 \uc801\uc6a9\ub418\uace0 \uc788\uc73c\uba70, \ub2e4\uc74c\uacfc \uac19\uc740 \ubd84\uc57c\uc5d0\uc11c \ub450\uac01\uc744 \ub098\ud0c0\ub0b4\uace0 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc758\ub8cc \ubcf4\uace0\uc11c\uc758 \uac1c\uccb4\uba85 \uc778\uc2dd<\/li>\n<li>\uc18c\uc15c \ubbf8\ub514\uc5b4 \uac10\uc131 \ubd84\uc11d<\/li>\n<li>\uae30\uacc4 \ubc88\uc5ed \uc2dc\uc2a4\ud15c<\/li>\n<\/ul>\n<h2>10. \uacb0\ub860<\/h2>\n<p>\ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc774\uc804\uc758 \uaddc\uce59 \uae30\ubc18 \uc811\uadfc \ubc29\uc2dd\uc5d0 \ube44\ud574 \uc0c1\ub2f9\ud55c \ubc1c\uc804\uc744 \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uc591\ubc29\ud5a5 LSTM\uacfc CRF\uc758 \uc870\ud569\uc740 \ubb38\ub9e5 \uc815\ubcf4\ub97c \ubcf4\ub2e4 \ud6a8\uacfc\uc801\uc73c\ub85c \ubaa8\ub378\ub9c1\ud560 \uc218 \uc788\uc5b4, \ub2e4\uc591\ud55c NLP \ubd84\uc57c\uc5d0\uc11c \ub192\uc740 \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc740 \ub354\uc6b1 \ubc1c\uc804\ud558\uc5ec \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0 \uc751\uc6a9\ub420 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4. \uc774\uc5d0 \ub530\ub77c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubbf8\ub798\ub294 \ub9e4\uc6b0 \ubc1d\ub2e4\uace0 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>11. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n<ul>\n<li>Huang, Z., Xu, W., &amp; Yu, K. (2015). Bidirectional LSTM-CRF Models for Sequence Tagging. arXiv preprint arXiv:1508.01991.<\/li>\n<li>Yao, X., &amp; Lu, Y. (2020). An Overview of Deep Learning Models for Natural Language Processing. Journal of Computer Science, 11(6), 347-358.<\/li>\n<li>Li, S. et al. (2018). A Survey of Deep Learning in Natural Language Processing. IEEE Transactions on Neural Networks and Learning Systems.<\/li>\n<\/ul>\n<p>\uc704\uc5d0\uc11c \ub17c\uc758\ud55c \ub0b4\uc6a9\uacfc \uae30\uc220\ub4e4\uc740 \uc9c0\uae08\uae4c\uc9c0 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \uc8fc\ubaa9\ubc1b\uace0 \uc788\ub294 \ud604\ub300\uc801 \uc811\uadfc \ubc29\ubc95\uc744 \uc798 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc774 \uc8fc\uc81c\ub97c \ub354 \uae4a\uc774 \ud0d0\uad6c\ud558\uba70 \uacbd\ud5d8\uc744 \uc313\ub294\ub2e4\uba74, \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\uc758 \uc131\uacf5\uc801\uc778 \uacb0\uacfc\ub97c \uc5bb\uc744 \uc218 \uc788\ub294 \uae30\ud68c\ub97c \uc81c\uacf5\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\ub85c, \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \ud070 \ubcc0\ud654\uac00 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud2b9\ud788 \uc591\ubc29\ud5a5 LSTM(Bidirectional Long Short-Term Memory)\uacfc \uc870\uac74\ubd80 \uc784\uc758 \ud544\ub4dc(Conditional Random Field, CRF)\ub97c \uacb0\ud569\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub780? \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130 \uacfc\ud559, \uc778\uacf5\uc9c0\ub2a5, \uc5b8\uc5b4\ud559\uc758 \uad50\ucc28\uc810\uc5d0 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/25353\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc591\ubc29\ud5a5 LSTM\uacfc CRF (Bidirectional LSTM + CRF)&#8221;<\/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-25353","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc591\ubc29\ud5a5 LSTM\uacfc CRF (Bidirectional LSTM + CRF) - \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\/25353\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" 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