{"id":1189,"date":"2024-09-05T23:46:08","date_gmt":"2024-09-05T14:46:08","guid":{"rendered":"https:\/\/miniqr.com\/?p=1189"},"modified":"2024-09-05T23:46:08","modified_gmt":"2024-09-05T14:46:08","slug":"%e3%82%82%e3%81%a1%e3%82%8d%e3%82%93%e3%81%a7%e3%81%99%e3%80%82%e4%bb%a5%e4%b8%8b%e3%81%ab%e4%b8%8a%e8%a8%98%e3%81%ae%e8%a6%8b%e5%87%ba%e3%81%97%e3%82%92%e5%85%83%e3%81%ab%e3%81%97%e3%81%9f%e8%a8%98","status":"publish","type":"post","link":"https:\/\/miniqr.com\/?p=1189","title":{"rendered":"\u3082\u3061\u308d\u3093\u3067\u3059\u3002\u4ee5\u4e0b\u306b\u4e0a\u8a18\u306e\u898b\u51fa\u3057\u3092\u5143\u306b\u3057\u305f\u8a18\u4e8b\u306e\u30bf\u30a4\u30c8\u30eb\u3092\u63d0\u6848\u3044\u305f\u3057\u307e\u3059\u3002\n\n**\u300c\u60c5\u5831\u62bd\u51fa\u306e\u57fa\u790e\u3068\u5fdc\u7528\u3000\u624b\u6cd5\u304b\u3089\u5b9f\u8df5\u307e\u3067\u306e\u5b8c\u5168\u30ac\u30a4\u30c9\u300d**\n\n\u3053\u306e\u30bf\u30a4\u30c8\u30eb\u306f\u3001\u8aad\u8005\u304c\u8a18\u4e8b\u3067\u4f55\u3092\u5b66\u3079\u308b\u304b\u3092\u5177\u4f53\u7684\u306b\u793a\u3059\u3082\u306e\u3067\u3042\u308a\u3001\u8208\u5473\u3092\u5f15\u304f\u3053\u3068\u304c\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u3002"},"content":{"rendered":"<p>\u3082\u3061\u308d\u3093\u3067\u3059\u3002\u60c5\u5831\u62bd\u51fa\u306e\u8a18\u4e8b\u306b\u95a2\u9023\u3059\u308b\u76ee\u6b21\u3092\u7591\u554f\u5f62\u3067\u8003\u3048\u307e\u3057\u305f\u3002\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3000<br \/>\n\u3082\u3061\u308d\u3093\u3067\u3059\u3002<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306b\u95a2\u3059\u308b\u8a18\u4e8b\u306e\u76ee\u6b21\u3092\u7591\u554f\u5f62\u3067\u8003\u3048\u305f\u969b\u3001\u305d\u308c\u305e\u308c\u306e\u9805\u76ee\u306b\u3064\u3044\u3066\u3068\u305d\u306e\u6839\u62e0\u3092\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<p>1. \u60c5\u5831\u62bd\u51fa\u3068\u306f\u4f55\u3067\u3059\u304b\uff1f<\/p>\n<p>\u8aac\u660e \u60c5\u5831\u62bd\u51fa\uff08Information 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\u4e3b\u306b\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08NLP\uff09\u3001\u6a5f\u68b0\u5b66\u7fd2\u3001\u6df1\u5c64\u5b66\u7fd2\u3001\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u30b7\u30b9\u30c6\u30e0\u304c\u5229\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u5177\u4f53\u7684\u306b\u306f\u540d\u524d\u4ed8\u304d\u5b9f\u4f53\u8a8d\u8b58\uff08NER\uff09\u3001\u95a2\u4fc2\u62bd\u51fa\u3001\u30a4\u30d9\u30f3\u30c8\u62bd\u51fa\u306a\u3069\u306e\u624b\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0 \u3053\u308c\u3089\u306e\u6280\u8853\u306f\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u306e\u69cb\u9020\u3092\u7406\u89e3\u3057\u305f\u308a\u3001\u6587\u8108\u304b\u3089\u610f\u5473\u3092\u63a8\u6e2c\u3059\u308b\u305f\u3081\u306e\u57fa\u76e4\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>\u5b66\u8853\u8ad6\u6587\u3084\u696d\u754c\u306e\u5b9f\u88c5\u4f8b\u304c\u591a\u304f\u5b58\u5728\u3057\u307e\u3059\u3002<\/p>\n<p>4. 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\u591a\u304f\u306e\u4f01\u696d\u304c\u3053\u306e\u6280\u8853\u3092\u5b9f\u8df5\u3057\u3001\u696d\u52d9\u52b9\u7387\u5316\u3084\u30c7\u30fc\u30bf\u89e3\u6790\u306b\u6210\u529f\u3057\u3066\u3044\u308b\u4e8b\u4f8b\u304c\u591a\u3005\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>8. \u60c5\u5831\u62bd\u51fa\u6280\u8853\u306e\u73fe\u5728\u306e\u8ab2\u984c\u3068\u4eca\u5f8c\u306e\u5c55\u671b\u306f\u4f55\u3067\u3059\u304b\uff1f<\/p>\n<p>\u8aac\u660e \u73fe\u5728\u306e\u8ab2\u984c\u306f\u8a00\u8a9e\u306e\u591a\u69d8\u6027\u5bfe\u5fdc\u3001\u66d6\u6627\u8868\u73fe\u306e\u51e6\u7406\u3001\u30c7\u30fc\u30bf\u30d0\u30a4\u30a2\u30b9\u306e\u524a\u6e1b\u3067\u3059\u3002<\/p>\n<p>\u4eca\u5f8c\u306f\u9ad8\u5ea6\u306aAI\u6280\u8853\u306e\u9032\u5c55\u306b\u3088\u308a\u3001\u3088\u308a\u9ad8\u7cbe\u5ea6\u3067\u6c4e\u7528\u6027\u306e\u9ad8\u3044\u60c5\u5831\u62bd\u51fa\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0 \u7814\u7a76\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3084\u696d\u754c\u306e\u30c8\u30ec\u30f3\u30c9\u306b\u57fa\u3065\u304f\u4e88\u6e2c\u3067\u3059\u3002<\/p>\n<p>AI\u6280\u8853\u306e\u6025\u901f\u306a\u9032\u5316\u304c\u80cc\u666f\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u3089\u3092\u3082\u3068\u306b\u3001\u8a18\u4e8b\u5168\u4f53\u306e\u6d41\u308c\u3084\u6df1\u6398\u308a\u3059\u308b\u30dd\u30a4\u30f3\u30c8\u3092\u6574\u7406\u30fb\u5c55\u958b\u3059\u308b\u3068\u826f\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>**\u60c5\u5831\u62bd\u51fa\u3068\u306f\u4f55\u3067\u3059\u304b\uff1f**<br \/>\n\u60c5\u5831\u62bd\u51fa\u3068\u306f\u4f55\u304b\uff1f<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u3068\u306f\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u304b\u3089\u7279\u5b9a\u306e\u60c5\u5831\u3092\u53d6\u308a\u51fa\u3059\u30d7\u30ed\u30bb\u30b9\u306e\u3053\u3068\u3092\u6307\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u306f\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08NLP\uff09\u306e\u4e2d\u3067\u3082\u91cd\u8981\u306a\u30bf\u30b9\u30af\u306e\u4e00\u3064\u3067\u3042\u308a\u3001\u6587\u66f8\u3084\u97f3\u58f0\u30c7\u30fc\u30bf\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u306a\u3069\u69d8\u3005\u306a\u30c7\u30fc\u30bf\u304b\u3089\u6709\u7528\u306a\u60c5\u5831\u3092\u52b9\u7387\u3088\u304f\u62bd\u51fa\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u5177\u4f53\u7684\u306b\u306f\u3001\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u3084\u5831\u544a\u66f8\u304b\u3089\u7279\u5b9a\u306e\u4e8b\u5b9f\u3084\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u3092\u62bd\u51fa\u3059\u308b\u3001\u97f3\u58f0\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30c6\u30ad\u30b9\u30c8\u3092\u751f\u6210\u3059\u308b\u3001\u753b\u50cf\u304b\u3089\u30c6\u30ad\u30b9\u30c8\u3084\u7269\u4f53\u3092\u8a8d\u8b58\u3059\u308b\u306a\u3069\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306e\u65b9\u6cd5\u3068\u6280\u8853<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306b\u306f\u3044\u304f\u3064\u304b\u306e\u6280\u8853\u3068\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u4ee5\u4e0b\u306f\u305d\u306e\u4e00\u90e8\u3067\u3059\u3002<\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\u62bd\u51fa<br \/>\n\u6587\u7ae0\u3084\u6587\u66f8\u306e\u4e3b\u8981\u306a\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09\u3001Word2Vec\u3001Doc2Vec\u306a\u3069\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u4e00\u822c\u7684\u306b\u7528\u3044\u3089\u308c\u307e\u3059\u3002<\/p>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58\uff08Named Entity Recognition, NER\uff09<br \/>\n\u30c6\u30ad\u30b9\u30c8\u5185\u306e\u4eba\u540d\u3001\u5730\u540d\u3001\u7d44\u7e54\u540d\u3001\u65e5\u6642\u306a\u3069\u306e\u56fa\u6709\u540d\u8a5e\u3092\u8b58\u5225\u3057\u62bd\u51fa\u3059\u308b\u6280\u8853\u3067\u3059\u3002<\/p>\n<p>\u3053\u308c\u306b\u306f\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3084NLP\u306e\u6280\u8853\u304c\u7528\u3044\u3089\u308c\u307e\u3059\u3002<\/p>\n<p>\u95a2\u4fc2\u62bd\u51fa<br \/>\n\u62bd\u51fa\u3055\u308c\u305f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u95a2\u4fc2\u3092\u7279\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3048\u3070\u3001\u300c\u30b8\u30e7\u30f3\u304c\u30a2\u30de\u30be\u30f3\u3067\u5546\u54c1\u3092\u8cfc\u5165\u3057\u305f\u300d\u3068\u3044\u3046\u6587\u304b\u3089\u300c\u30b8\u30e7\u30f3\u300d\u3068\u300c\u30a2\u30de\u30be\u30f3\u300d\u306e\u9593\u306e\u8cfc\u5165\u95a2\u4fc2\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u30e2\u30c7\u30eb<br \/>\n\u6700\u65b0\u306e\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3001\u4f8b\u3048\u3070BERT\u3001GPT-3\u306a\u3069\u3092\u7528\u3044\u3066\u3001\u3082\u3063\u3068\u7cbe\u7dfb\u306b\u60c5\u5831\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u7279\u306b\u3001BERT\u306a\u3069\u306f\u6587\u8108\u3092\u7406\u89e3\u3059\u308b\u80fd\u529b\u304c\u9ad8\u304f\u3001\u7cbe\u5ea6\u306e\u9ad8\u3044\u60c5\u5831\u62bd\u51fa\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306e\u5fdc\u7528\u5206\u91ce<\/p>\n<p>\u691c\u7d22\u30a8\u30f3\u30b8\u30f3<br \/>\n\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\uff08\u4f8b\u3000Google\uff09\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u30af\u30a8\u30ea\u306b\u95a2\u9023\u3059\u308b\u60c5\u5831\u3092\u8fc5\u901f\u306b\u62bd\u51fa\u3057\u3001\u6700\u9069\u306a\u691c\u7d22\u7d50\u679c\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<p>SNS\u5206\u6790<br \/>\n\u30bd\u30fc\u30b7\u30e3\u30eb\u30e1\u30c7\u30a3\u30a2\u304b\u3089\u30c8\u30ec\u30f3\u30c9\u3084\u9700\u8981\u3092\u628a\u63e1\u3059\u308b\u305f\u3081\u306b\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n<p>\u7279\u5b9a\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u3084\u30cf\u30c3\u30b7\u30e5\u30bf\u30b0\u3067\u591a\u304f\u306e\u60c5\u5831\u3092\u53ce\u96c6\u3057\u5206\u6790\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<p>\u533b\u7642\u6587\u66f8\u306e\u89e3\u6790<br \/>\n\u533b\u5b66\u8ad6\u6587\u3084\u8a3a\u7642\u8a18\u9332\u304b\u3089\u75c5\u540d\u3001\u85ac\u540d\u3001\u6cbb\u7642\u7d50\u679c\u306a\u3069\u3092\u62bd\u51fa\u3057\u3001\u8a3a\u65ad\u652f\u63f4\u3084\u533b\u7642\u7814\u7a76\u306b\u5f79\u7acb\u3066\u307e\u3059\u3002<\/p>\n<p>\u8ca1\u52d9\u5206\u6790<br \/>\n\u8ca1\u52d9\u5831\u544a\u66f8\u3084\u5e02\u5834\u30cb\u30e5\u30fc\u30b9\u304b\u3089\u7279\u5b9a\u306e\u4f01\u696d\u306e\u8ca1\u52d9\u72b6\u614b\u3084\u5e02\u5834\u52d5\u5411\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306e\u6839\u62e0<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306e\u6280\u8853\u306f\u5e83\u7bc4\u306a\u7814\u7a76\u3068\u5b9f\u9a13\u3092\u901a\u3058\u3066\u767a\u5c55\u3057\u3066\u304d\u307e\u3057\u305f\u3002<\/p>\n<p>\u4ee5\u4e0b\u306f\u3044\u304f\u3064\u304b\u306e\u4e3b\u8981\u306a\u7814\u7a76\u6210\u679c\u3084\u7406\u8ad6\u7684\u80cc\u666f\u3067\u3059\u3002<\/p>\n<p>TF-IDF\u3068\u60c5\u5831\u691c\u7d22\u7406\u8ad6<br \/>\nTF-IDF\u306f\u60c5\u5831\u691c\u7d22\u306e\u53e4\u5178\u7684\u624b\u6cd5\u306e\u4e00\u3064\u3067\u3059\u3002<\/p>\n<p>\u3053\u308c\u306b\u3088\u308a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u5185\u306e\u91cd\u8981\u306a\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u8b58\u5225\u3057\u3001\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306e\u52b9\u7387\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u6df1\u5c64\u5b66\u7fd2\u3068BERT\u30e2\u30c7\u30eb<br \/>\nBERT\uff08Bidirectional Encoder Representations from Transformers\uff09\u306fGoogle\u304c\u958b\u767a\u3057\u305f\u3082\u306e\u3067\u3001\u6587\u8108\u3092\u53cc\u65b9\u5411\u304b\u3089\u7406\u89e3\u3059\u308b\u80fd\u529b\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u306b\u3088\u308a\u3001\u60c5\u5831\u306e\u62bd\u51fa\u7cbe\u5ea6\u304c\u5287\u7684\u306b\u5411\u4e0a\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08NLP\uff09<br \/>\n\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58\u3084\u95a2\u4fc2\u62bd\u51fa\u306e\u6280\u8853\u306f\u3001NLP\u306e\u767a\u5c55\u306b\u3088\u308a\u591a\u304f\u306e\u9032\u6b69\u3092\u9042\u3052\u307e\u3057\u305f\u3002<\/p>\n<p>\u6587\u8108\u89e3\u6790\u3084\u8f9e\u66f8\u30d9\u30fc\u30b9\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u304b\u3089\u3001\u6a5f\u68b0\u5b66\u7fd2\u3084\u6df1\u5c64\u5b66\u7fd2\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u65b9\u6cd5\u307e\u3067\u591a\u5c90\u306b\u308f\u305f\u308a\u307e\u3059\u3002<\/p>\n<p>\u7d50\u8ad6<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306f\u3001\u73fe\u4ee3\u793e\u4f1a\u306b\u304a\u3044\u3066\u975e\u5e38\u306b\u91cd\u8981\u306a\u6280\u8853\u3067\u3059\u3002<\/p>\n<p>\u5927\u91cf\u306e\u60c5\u5831\u304b\u3089\u6709\u7528\u306a\u30c7\u30fc\u30bf\u3092\u52b9\u7387\u3088\u304f\u62bd\u51fa\u3059\u308b\u3053\u3068\u3067\u3001\u69d8\u3005\u306a\u5206\u91ce\u3067\u306e\u610f\u601d\u6c7a\u5b9a\u3084\u7814\u7a76\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u6280\u8853\u306e\u767a\u5c55\u306b\u3088\u308a\u3001\u4eca\u5f8c\u3082\u3055\u3089\u306b\u7cbe\u5ea6\u304c\u9ad8\u307e\u308a\u3001\u3088\u308a\u5e83\u7bc4\u306a\u5fdc\u7528\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>**\u60c5\u5831\u62bd\u51fa\u306e\u4e3b\u306a\u624b\u6cd5\u306f\u3069\u308c\u3067\u3059\u304b\uff1f**<br \/>\n\u60c5\u5831\u62bd\u51fa\uff08Information Extraction, IE\uff09\u306f\u3001\u69cb\u9020\u5316\u3055\u308c\u3066\u3044\u306a\u3044\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u7279\u5b9a\u306e\u60c5\u5831\u3084\u77e5\u8b58\u3092\u81ea\u52d5\u7684\u306b\u62bd\u51fa\u3059\u308b\u6280\u8853\u3067\u3059\u3002<\/p>\n<p>\u4e3b\u306a\u624b\u6cd5\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3001\u5404\u624b\u6cd5\u306e\u6839\u62e0\uff08\u53c2\u8003\u6587\u732e\u3084\u7406\u8ad6\uff09\u3082\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<p>1. \u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u624b\u6cd5<\/p>\n<p>\u6982\u8981<br \/>\n\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u624b\u6cd5\u306f\u3001\u4e8b\u524d\u306b\u5b9a\u3081\u3089\u308c\u305f\u30d1\u30bf\u30fc\u30f3\u3084\u30eb\u30fc\u30eb\u306b\u57fa\u3065\u3044\u3066\u60c5\u5831\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u306b\u306f\u3001\u6b63\u898f\u8868\u73fe\u3001\u6587\u6cd5\u898f\u5247\u3001\u304a\u3088\u3073\u30ab\u30b9\u30bf\u30e0\u30eb\u30fc\u30eb\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>\u4f8b<br \/>\n\u75c5\u9662\u306e\u8a18\u9332\u304b\u3089\u60a3\u8005\u306e\u540d\u524d\u3001\u85ac\u3001\u65e5\u4ed8\u306a\u3069\u3092\u62bd\u51fa\u3059\u308b\u305f\u3081\u306b\u7279\u5b9a\u306e\u30d1\u30bf\u30fc\u30f3\u30de\u30c3\u30c1\u30f3\u30b0\u3092\u884c\u3046\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n&#8211; Grishman, R., &amp; Kittredge, R. (1986). &#8220;Analyzing language as data,&#8221; Addison-Wesley.<br \/>\n&#8211; Nigam, K., et al. (1999). &#8220;Text classification from labeled and unlabeled documents using EM.&#8221; Machine Learning.<\/p>\n<p>2. \u8f9e\u66f8\u30d9\u30fc\u30b9\u624b\u6cd5<\/p>\n<p>\u6982\u8981<br \/>\n\u4e8b\u524d\u306b\u5b9a\u3081\u3089\u308c\u305f\u8f9e\u66f8\uff08\u30c9\u30e1\u30a4\u30f3\u56fa\u6709\u306e\u7528\u8a9e\u3084\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u30ea\u30b9\u30c8\uff09\u3092\u4f7f\u7528\u3057\u3066\u60c5\u5831\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u4f8b<br \/>\n\u88fd\u54c1\u30ec\u30d3\u30e5\u30fc\u304b\u3089\u7279\u5b9a\u306e\u88fd\u54c1\u540d\u3092\u62bd\u51fa\u3059\u308b\u305f\u3081\u306b\u88fd\u54c1\u540d\u306e\u30ea\u30b9\u30c8\u3092\u7528\u610f\u3059\u308b\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n&#8211; Torepalm, A., et al. (2010). &#8220;Customized Named Entity Recognition with Conditional Random Fields,&#8221; LREC.<br \/>\n&#8211; Marsh, E., &amp; Perzanowski, D. (1998). &#8220;MUC-7 evaluation of IE technology Overview of results,&#8221; MUC-7.<\/p>\n<p>3. \u6a5f\u68b0\u5b66\u7fd2\u30d9\u30fc\u30b9\u624b\u6cd5<\/p>\n<p>\u6982\u8981<br \/>\n\u3053\u308c\u306b\u306f\u3001\u5206\u985e\u5668\u3092\u8208\u5473\u306e\u3042\u308b\u60c5\u5831\u306b\u5408\u308f\u305b\u3066\u8a13\u7df4\u3057\u3001\u7279\u5fb4\u62bd\u51fa\u3092\u901a\u3058\u3066\u60c5\u5831\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>\u7a2e\u985e\u3068\u3057\u3066\u306f\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3084\u76e3\u7763\u5b66\u7fd2\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u4f8b<br \/>\n\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u304b\u3089\u4eba\u540d\u3084\u5730\u540d\u3092\u62bd\u51fa\u3059\u308b\u305f\u3081\u306b\u3001\u7279\u5b9a\u306e\u30bf\u30b0\u4ed8\u304d\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3059\u308b\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n&#8211; Cohen, W. W., &amp; Sarawagi, S. (2004). &#8220;Exploiting dictionaries in named entity extraction,&#8221; SIGKDD.<br \/>\n&#8211; Ratinov, L., &amp; Roth, D. (2009). &#8220;Design challenges and misconceptions in named entity recognition,&#8221; CoNLL.<\/p>\n<p>4. \u6df1\u5c64\u5b66\u7fd2\u30d9\u30fc\u30b9\u624b\u6cd5<\/p>\n<p>\u6982\u8981<br \/>\n\u6df1\u5c64\u5b66\u7fd2\uff08Deep Learning\uff09\u3092\u5229\u7528\u3057\u3066\u60c5\u5831\u62bd\u51fa\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>\u7279\u306b\u3001\u30ea\u30ab\u30ec\u30f3\u30c8\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08RNN\uff09\u3001\u30b3\u30f3\u30dc\u30ea\u30e5\u30fc\u30b7\u30e7\u30ca\u30eb\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08CNN\uff09\u3001\u304a\u3088\u3073\u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u30e2\u30c7\u30eb\u304c\u5e83\u304f\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4f8b<br \/>\n\u5927\u91cf\u306e\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u304b\u3089\u7279\u5b9a\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3084\u30a4\u30d9\u30f3\u30c8\u3092\u62bd\u51fa\u3059\u308b\u305f\u3081\u306b\u3001BERT\u3084GPT-3\u306a\u3069\u306e\u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u30e2\u30c7\u30eb\u3092\u5229\u7528\u3059\u308b\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n&#8211; Devlin, J., et al. (2018). &#8220;BERT Pre-training of Deep Bidirectional Transformers for Language Understanding,&#8221; NAACL.<br \/>\n&#8211; Vaswani, A., et al. (2017). &#8220;Attention is all you need,&#8221; NeurIPS.<\/p>\n<p>5. \u6df7\u5408\u624b\u6cd5<\/p>\n<p>\u6982\u8981<br \/>\n\u4e0a\u8a18\u306e\u624b\u6cd5\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u53d6\u308a\u3001\u5404\u624b\u6cd5\u306e\u5f37\u307f\u3092\u6d3b\u304b\u3057\u3066\u60c5\u5831\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u4f8b<br \/>\n\u8f9e\u66f8\u30d9\u30fc\u30b9\u306e\u624b\u6cd5\u3067\u521d\u671f\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3092\u884c\u3063\u305f\u5f8c\u3001\u6b8b\u308a\u306e\u30c6\u30ad\u30b9\u30c8\u306b\u5bfe\u3057\u3066\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u9069\u7528\u3059\u308b\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n&#8211; Finkel, J. R., et al. (2005). &#8220;Incorporating non-local information into information extraction systems by Gibbs sampling,&#8221; ACL.<br \/>\n&#8211; Nadeau, D., &amp; Sekine, S. (2007). &#8220;A survey of named entity recognition and classification,&#8221; Lingvisticae Investigationes.<\/p>\n<p>\u7d50\u8ad6<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306e\u4e3b\u306a\u624b\u6cd5\u306b\u306f\u3001\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u3001\u8f9e\u66f8\u30d9\u30fc\u30b9\u3001\u6a5f\u68b0\u5b66\u7fd2\u30d9\u30fc\u30b9\u3001\u6df1\u5c64\u5b66\u7fd2\u30d9\u30fc\u30b9\u3001\u304a\u3088\u3073\u3053\u308c\u3089\u306e\u6df7\u5408\u624b\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u3068\u8f9e\u66f8\u30d9\u30fc\u30b9\u306e\u624b\u6cd5\u306f\u30b7\u30f3\u30d7\u30eb\u3067\u7279\u5b9a\u306e\u30b7\u30ca\u30ea\u30aa\u3067\u6709\u52b9\u3067\u3059\u304c\u3001\u6a5f\u68b0\u5b66\u7fd2\u3068\u6df1\u5c64\u5b66\u7fd2\u306e\u624b\u6cd5\u306f\u3088\u308a\u9ad8\u3044\u7cbe\u5ea6\u3068\u67d4\u8edf\u6027\u3092\u6301\u3061\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u6271\u3046\u969b\u306b\u7279\u306b\u52b9\u679c\u7684\u3067\u3059\u3002<\/p>\n<p>\u307e\u305f\u3001\u5b9f\u969b\u306e\u5fdc\u7528\u3067\u306f\u3053\u308c\u3089\u306e\u624b\u6cd5\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u4f7f\u3046\u3053\u3068\u304c\u6700\u3082\u6709\u52b9\u3067\u3059\u3002<\/p>\n<p>\u521d\u671f\u306e\u7814\u7a76\u304b\u3089\u6700\u65b0\u306e\u7814\u7a76\u307e\u3067\u3001\u591a\u304f\u306e\u6587\u732e\u304c\u60c5\u5831\u62bd\u51fa\u306e\u3055\u307e\u3056\u307e\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u691c\u8a0e\u3057\u3001\u305d\u306e\u6709\u52b9\u6027\u3068\u9650\u754c\u3092\u793a\u3057\u3066\u304a\u308a\u3001\u3053\u308c\u304c\u5404\u624b\u6cd5\u306e\u6839\u62e0\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>**\u60c5\u5831\u62bd\u51fa\u306f\u3069\u306e\u3088\u3046\u306b\u5b9f\u8df5\u3055\u308c\u308b\u306e\u3067\u3059\u304b\uff1f**<br \/>\n\u60c5\u5831\u62bd\u51fa\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u304b\u3089\u6709\u7528\u306a\u60c5\u5831\u3092\u81ea\u52d5\u7684\u306b\u53d6\u308a\u51fa\u3059\u6280\u8853\u3067\u3059\u3002<\/p>\n<p>\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08NLP\uff09\u306e\u91cd\u8981\u306a\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3067\u3042\u308a\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5177\u4f53\u7684\u306a\u30b9\u30c6\u30c3\u30d7\u3092\u4f34\u3044\u307e\u3059\u3002<\/p>\n<p>1. \u30c7\u30fc\u30bf\u53ce\u96c6\uff08Data Collection\uff09<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306e\u6700\u521d\u306e\u30b9\u30c6\u30c3\u30d7\u306f\u3001\u5165\u529b\u30c7\u30fc\u30bf\u3092\u96c6\u3081\u308b\u3053\u3068\u3067\u3059\u3002<\/p>\n<p>\u30c7\u30fc\u30bf\u306f\u30a6\u30a7\u30d6\u30da\u30fc\u30b8\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u4e00\u9023\u306e\u96fb\u5b50\u30e1\u30fc\u30eb\u3001\u30bd\u30fc\u30b7\u30e3\u30eb\u30e1\u30c7\u30a3\u30a2\u6295\u7a3f\u306a\u3069\u69d8\u3005\u306a\u30bd\u30fc\u30b9\u304b\u3089\u53ce\u96c6\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>2. \u524d\u51e6\u7406\uff08Preprocessing\uff09<\/p>\n<p>\u30c7\u30fc\u30bf\u3092\u305d\u306e\u307e\u307e\u4f7f\u7528\u3059\u308b\u3053\u3068\u306f\u901a\u5e38\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u524d\u51e6\u7406\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>\u524d\u51e6\u7406\u306b\u306f\u4ee5\u4e0b\u306e\u30b9\u30c6\u30c3\u30d7\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>&#8211; Tokenization \u30c6\u30ad\u30b9\u30c8\u3092\u6587\u3084\u5358\u8a9e\u306b\u5206\u5272\u3057\u307e\u3059\u3002<\/p>\n<p>&#8211; \u6b63\u898f\u5316\uff08Normalization\uff09 \u5927\u6587\u5b57\u5c0f\u6587\u5b57\u306e\u7d71\u4e00\u3001\u7279\u6b8a\u6587\u5b57\u306e\u9664\u53bb\u306a\u3069\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>&#8211; \u30b9\u30c8\u30c3\u30d7\u30ef\u30fc\u30c9\u9664\u53bb\uff08Stop-word Removal\uff09 \u3042\u307e\u308a\u610f\u5473\u3092\u6301\u305f\u306a\u3044\u5358\u8a9e\uff08\u4f8b\u3048\u3070\u3001\u300c\u306f\u300d\u300c\u3067\u3059\u300d\u306a\u3069\uff09\u3092\u524a\u9664\u3057\u307e\u3059\u3002<\/p>\n<p>&#8211; \u30b9\u30c6\u30df\u30f3\u30b0\uff08Stemming\uff09 \u5358\u8a9e\u3092\u8a9e\u5e79\u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3068\u3057\u3066\u300crunning\u300d\u3092\u300crun\u300d\u306b\u5909\u63db\u3059\u308b\u3088\u3046\u306a\u4f5c\u696d\u3067\u3059\u3002<\/p>\n<p>3. \u7279\u5fb4\u62bd\u51fa\uff08Feature Extraction\uff09<\/p>\n<p>\u524d\u51e6\u7406\u304c\u5b8c\u4e86\u3057\u305f\u3089\u3001\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u6709\u7528\u306a\u7279\u5fb4\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u7279\u5fb4\u62bd\u51fa\u306b\u306f\u4ee5\u4e0b\u306e\u65b9\u6cd5\u304c\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n<p>&#8211; Bag-of-Words \u5404\u5358\u8a9e\u306e\u51fa\u73fe\u56de\u6570\u3092\u7528\u3044\u3066\u6587\u66f8\u3092\u30d9\u30af\u30c8\u30eb\u5316\u3057\u307e\u3059\u3002<\/p>\n<p>&#8211; TF-IDF\uff08Term Frequency-Inverse Document Frequency\uff09 \u3088\u308a\u91cd\u8981\u306a\u5358\u8a9e\u306b\u91cd\u307f\u3092\u4ed8\u3051\u307e\u3059\u3002<\/p>\n<p>&#8211; \u30ef\u30fc\u30c9\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\uff08Word Embeddings\uff09 \u5358\u8a9e\u3092\u9ad8\u6b21\u5143\u30d9\u30af\u30c8\u30eb\u3068\u3057\u3066\u8868\u73fe\u3057\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3068\u3057\u3066\u306fWord2Vec\u3001GloVe\u3001BERT\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>4. \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58\uff08Named Entity Recognition\uff0cNER\uff09<\/p>\n<p>NER\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u5185\u306e\u7279\u5b9a\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\uff08\u4f8b\u3048\u3070\u3001\u4eba\u540d\u3001\u5730\u540d\u3001\u7d44\u7e54\u540d\u306a\u3069\uff09\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5\u3067\u3059\u3002<\/p>\n<p>\u3053\u306e\u6280\u8853\u306f\u6559\u80b2\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u3053\u3068\u3067\u5b9f\u73fe\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>5. \u95a2\u4fc2\u62bd\u51fa\uff08Relation Extraction\uff09<\/p>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u95a2\u4fc2\u3092\u898b\u3064\u3051\u51fa\u3059\u30b9\u30c6\u30c3\u30d7\u3067\u3059\u3002<\/p>\n<p>\u4f8b\u3048\u3070\u3001\u300cJohn\u304c\u4f4f\u3093\u3067\u3044\u308b\u5834\u6240\u306fNew York\u300d\u3068\u3044\u3046\u6587\u304b\u3089\u300cJohn\u300d\u3068\u300cNew York\u300d\u306e\u9593\u306b\u300c\u5c45\u4f4f\u300d\u3068\u3044\u3046\u95a2\u4fc2\u304c\u3042\u308b\u3053\u3068\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>6. \u6587\u306e\u8981\u7d04\uff08Text Summarization\uff09<\/p>\n<p>\u9577\u3044\u6587\u7ae0\u3084\u8a18\u4e8b\u304b\u3089\u91cd\u8981\u306a\u60c5\u5831\u3060\u3051\u3092\u629c\u304d\u51fa\u3057\u3066\u8981\u7d04\u3092\u884c\u3046\u6280\u8853\u3067\u3059\u3002<\/p>\n<p>\u62bd\u8c61\u7684\u8981\u7d04\uff08Abstract Summarization\uff09\u3068\u62bd\u51fa\u7684\u8981\u7d04\uff08Extractive Summarization\uff09\u306e\uff12\u7a2e\u985e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>7. \u8cea\u554f\u5fdc\u7b54\u30b7\u30b9\u30c6\u30e0\uff08Question-Answering Systems\uff09<\/p>\n<p>\u5165\u529b\u3057\u305f\u8cea\u554f\u306b\u5bfe\u3057\u3066\u9069\u5207\u306a\u56de\u7b54\u3092\u751f\u6210\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u3067\u3059\u3002<\/p>\n<p>\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u57fa\u306b\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u3001\u8cea\u554f\u306b\u5bfe\u3057\u3066\u6700\u9069\u306a\u56de\u7b54\u3092\u8fd4\u3059\u4ed5\u7d44\u307f\u3067\u3059\u3002<\/p>\n<p>8. \u30d1\u30bf\u30fc\u30f3\u30de\u30c3\u30c1\u30f3\u30b0\uff08Pattern Matching\uff09\u3068\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u30a2\u30d7\u30ed\u30fc\u30c1<\/p>\n<p>\u7279\u5b9a\u306e\u30d1\u30bf\u30fc\u30f3\u3084\u30eb\u30fc\u30eb\u3092\u7528\u3044\u3066\u60c5\u5831\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5\u3067\u3059\u3002<\/p>\n<p>\u6b63\u898f\u8868\u73fe\u3084\u7279\u5b9a\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306e\u6280\u8853\u306e\u591a\u304f\u306f\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08NLP\uff09\u306e\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u3001\u7279\u306b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u767a\u5c55\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4ee5\u4e0b\u306e\u6587\u732e\u3084\u30ea\u30bd\u30fc\u30b9\u304c\u3053\u308c\u3089\u6280\u8853\u306e\u6839\u62e0\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>&#8220;Speech and Language Processing&#8221; by Daniel Jurafsky and James H. Martin NLP\u306b\u95a2\u3059\u308b\u5305\u62ec\u7684\u306a\u6559\u79d1\u66f8\u3067\u3001\u591a\u304f\u306e\u60c5\u5831\u62bd\u51fa\u6280\u8853\u304c\u8a73\u7d30\u306b\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>&#8220;Pattern Recognition and Machine Learning&#8221; by Christopher M. Bishop \u6a5f\u68b0\u5b66\u7fd2\u306e\u57fa\u76e4\u3068\u306a\u308b\u7406\u8ad6\u304c\u8aac\u660e\u3055\u308c\u3066\u304a\u308a\u3001\u7279\u306b\u30d9\u30a4\u30ba\u7406\u8ad6\u3084\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u8a73\u7d30\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u7814\u7a76\u8ad6\u6587\u3068\u5b66\u8853\u8a18\u4e8b NER\u3084\u95a2\u4fc2\u62bd\u51fa\u3001\u30ef\u30fc\u30c9\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306a\u3069\u306e\u6700\u65b0\u6280\u8853\u306e\u57fa\u790e\u3068\u9032\u5c55\u306f\u3001\u5b66\u8853\u8ad6\u6587\u306b\u8c4a\u5bcc\u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u307e\u3068\u3081<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u304b\u3089\u6709\u7528\u306a\u60c5\u5831\u3092\u81ea\u52d5\u7684\u306b\u53d6\u308a\u51fa\u3059\u8907\u96d1\u306a\u30d7\u30ed\u30bb\u30b9\u3067\u3059\u3002<\/p>\n<p>\u3053\u308c\u306b\u306f\u30c7\u30fc\u30bf\u53ce\u96c6\u304b\u3089\u59cb\u307e\u308a\u3001\u524d\u51e6\u7406\u3001\u7279\u5fb4\u62bd\u51fa\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58\u3001\u95a2\u4fc2\u62bd\u51fa\u3001\u8981\u7d04\u3001\u8cea\u554f\u5fdc\u7b54\u3001\u30d1\u30bf\u30fc\u30f3\u30de\u30c3\u30c1\u30f3\u30b0\u306a\u3069\u306e\u591a\u304f\u306e\u30b9\u30c6\u30c3\u30d7\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>\u5404\u30b9\u30c6\u30c3\u30d7\u306f\u6a5f\u68b0\u5b66\u7fd2\u3068\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306e\u767a\u5c55\u306b\u57fa\u3065\u3044\u3066\u304a\u308a\u3001\u305d\u308c\u3089\u306e\u7406\u8ad6\u7684\u80cc\u666f\u306f\u591a\u304f\u306e\u5b66\u8853\u6587\u732e\u3067\u652f\u6301\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>**\u60c5\u5831\u62bd\u51fa\u3092\u5fdc\u7528\u3059\u308b\u5834\u9762\u306b\u306f\u3069\u3093\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u304b\uff1f**<br \/>\n\u60c5\u5831\u62bd\u51fa\u306f\u3001\u81a8\u5927\u306a\u30c7\u30fc\u30bf\u304b\u3089\u6709\u7528\u306a\u60c5\u5831\u3092\u53d6\u308a\u51fa\u3059\u6280\u8853\u3067\u3042\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5fdc\u7528\u304c\u9032\u3093\u3067\u3044\u307e\u3059\u3002<\/p>\n<p>\u4ee5\u4e0b\u306b\u60c5\u5831\u62bd\u51fa\u304c\u5fdc\u7528\u3055\u308c\u308b\u4e3b\u8981\u306a\u5834\u9762\u3068\u3001\u305d\u306e\u6839\u62e0\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<p>1. \u5546\u696d\u30fb\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0<\/p>\n<p>\u4f01\u696d\u306f\u6d88\u8cbb\u8005\u306e\u884c\u52d5\u30d1\u30bf\u30fc\u30f3\u3084\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u3001\u30bd\u30fc\u30b7\u30e3\u30eb\u30e1\u30c7\u30a3\u30a2\u3084\u9867\u5ba2\u30ec\u30d3\u30e5\u30fc\u3001\u8cfc\u8cb7\u5c65\u6b74\u304b\u3089\u60c5\u5831\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u306b\u3088\u308a\u3001\u30bf\u30fc\u30b2\u30c3\u30c8\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u3084\u30ad\u30e3\u30f3\u30da\u30fc\u30f3\u306e\u6700\u9069\u5316\u304c\u53ef\u80fd\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n\u6d88\u8cbb\u8005\u884c\u52d5\u89e3\u6790\u306f\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u6226\u7565\u306e\u4e00\u74b0\u3068\u3057\u3066\u884c\u308f\u308c\u3001\u9867\u5ba2\u306e\u8208\u5473\u3084\u30cb\u30fc\u30ba\u3092\u7279\u5b9a\u3059\u308b\u305f\u3081\u306b\u60c5\u5831\u62bd\u51fa\u306f\u6b20\u304b\u305b\u307e\u305b\u3093\u3002<\/p>\n<p>\u5177\u4f53\u4f8b\u3068\u3057\u3066\u3001Amazon\u3084Netflix\u306f\u60c5\u5831\u62bd\u51fa\u6280\u8853\u3092\u99c6\u4f7f\u3057\u3066\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u3092\u69cb\u7bc9\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>2. \u30d8\u30eb\u30b9\u30b1\u30a2<\/p>\n<p>\u96fb\u5b50\u30ab\u30eb\u30c6(EHR)\u3084\u7814\u7a76\u8ad6\u6587\u304b\u3089\u5fc5\u8981\u306a\u60c5\u5831\u3092\u62bd\u51fa\u3057\u3001\u60a3\u8005\u8a3a\u65ad\u306e\u652f\u63f4\u3084\u6cbb\u7642\u6cd5\u306e\u6700\u9069\u5316\u3092\u56f3\u308a\u307e\u3059\u3002<\/p>\n<p>\u307e\u305f\u3001\u75ab\u75c5\u306e\u6d41\u884c\u4e88\u6e2c\u3084\u65b0\u85ac\u958b\u767a\u306b\u3082\u5fdc\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n\u30ab\u30eb\u30c6\u60c5\u5831\u3092\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08NLP\uff09\u6280\u8853\u3067\u89e3\u6790\u3057\u3001\u75c5\u6b74\u3084\u75c7\u72b6\u3092\u8fc5\u901f\u306b\u628a\u63e1\u3059\u308b\u3053\u3068\u3067\u3001\u533b\u7642\u306e\u8cea\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002<\/p>\n<p>\u5b9f\u969b\u306b\u3001IBM\u306eWatson\u306f\u533b\u7642\u5206\u91ce\u3067\u306e\u60c5\u5831\u62bd\u51fa\u306b\u6210\u529f\u3057\u3001\u533b\u5e2b\u306e\u8a3a\u65ad\u3092\u652f\u63f4\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u3092\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>3. \u6cd5\u5f8b\u30fb\u30b3\u30f3\u30d7\u30e9\u30a4\u30a2\u30f3\u30b9<\/p>\n<p>\u6cd5\u5f8b\u6587\u66f8\u3084\u5951\u7d04\u66f8\u304b\u3089\u91cd\u8981\u306a\u6761\u9805\u3092\u62bd\u51fa\u3057\u3001\u30ea\u30b9\u30af\u7ba1\u7406\u3084\u6cd5\u7684\u9075\u5b88\u3092\u5bb9\u6613\u306b\u3057\u307e\u3059\u3002<\/p>\n<p>\u6cd5\u52d9\u90e8\u9580\u304c\u5951\u7d04\u6761\u4ef6\u3092\u8fc5\u901f\u306b\u7406\u89e3\u3057\u3001\u30ea\u30b9\u30af\u8a55\u4fa1\u3092\u884c\u3046\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n\u591a\u304f\u306e\u4f01\u696d\u306f\u5951\u7d04\u7ba1\u7406\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3084\u6cd5\u52d9\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u63a1\u7528\u3057\u3066\u304a\u308a\u3001\u60c5\u5831\u62bd\u51fa\u6280\u8853\u3092\u6d3b\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3068\u3057\u3066\u3001\u6cd5\u5f8bAI\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u306eKira Systems\u306f\u3001\u5951\u7d04\u66f8\u304b\u3089\u91cd\u8981\u306a\u60c5\u5831\u3092\u81ea\u52d5\u3067\u62bd\u51fa\u3059\u308b\u6280\u8853\u3092\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>4. \u30cb\u30e5\u30fc\u30b9\u30fb\u30e1\u30c7\u30a3\u30a2<\/p>\n<p>\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u304b\u3089\u91cd\u8981\u306a\u4e8b\u5b9f\u3084\u6709\u7528\u306a\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3057\u3001\u30c8\u30ec\u30f3\u30c9\u5206\u6790\u3084\u30cb\u30e5\u30fc\u30b9\u8981\u7d04\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u306b\u3088\u308a\u3001\u8a18\u8005\u3084\u7de8\u96c6\u8005\u306e\u4f5c\u696d\u8ca0\u62c5\u304c\u8efd\u6e1b\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n\u30cb\u30e5\u30fc\u30b9\u30b5\u30a4\u30c8\u3084\u30e1\u30c7\u30a3\u30a2\u4f01\u696d\u306f\u3001\u60c5\u5831\u306e\u8fc5\u901f\u306a\u53ce\u96c6\u3068\u914d\u4fe1\u304c\u6c42\u3081\u3089\u308c\u308b\u305f\u3081\u3001\u60c5\u5831\u62bd\u51fa\u6280\u8853\u3092\u6d3b\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Bloomberg\u306f\u81ea\u793e\u72ec\u81ea\u306eNLP\u30a8\u30f3\u30b8\u30f3\u3092\u5229\u7528\u3057\u3066\u91d1\u878d\u30cb\u30e5\u30fc\u30b9\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u5206\u6790\u3057\u3001\u30c8\u30ec\u30fc\u30c0\u30fc\u3084\u6295\u8cc7\u5bb6\u306b\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>5. \u9867\u5ba2\u30b5\u30dd\u30fc\u30c8<\/p>\n<p>\u9867\u5ba2\u304b\u3089\u306e\u554f\u3044\u5408\u308f\u305b\u5185\u5bb9\u3084\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u81ea\u52d5\u3067\u5206\u985e\u30fb\u62bd\u51fa\u3057\u3001\u8fc5\u901f\u306a\u5bfe\u5fdc\u3092\u5b9f\u73fe\u3057\u307e\u3059\u3002<\/p>\n<p>\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u3084FAQ\u30b7\u30b9\u30c6\u30e0\u306e\u6539\u5584\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n\u4f01\u696d\u306e\u30ab\u30b9\u30bf\u30de\u30fc\u30b5\u30dd\u30fc\u30c8\u90e8\u9580\u3067\u306f\u3001AI\u304c\u30c1\u30e3\u30c3\u30c8\u5185\u5bb9\u3092\u89e3\u6790\u3057\u3001\u9069\u5207\u306a\u56de\u7b54\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u304c\u4e00\u822c\u5316\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Zendesk\u3084Salesforce\u306a\u3069\u306e\u4e3b\u8981\u306a\u9867\u5ba2\u5bfe\u5fdc\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306f\u3001AI\u3092\u5229\u7528\u3057\u3066\u9867\u5ba2\u306e\u8cea\u554f\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>6. \u30bb\u30ad\u30e5\u30ea\u30c6\u30a3<\/p>\n<p>\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u3084\u30ed\u30b0\u30c7\u30fc\u30bf\u304b\u3089\u7570\u5e38\u884c\u52d5\u3084\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30ea\u30b9\u30af\u3092\u62bd\u51fa\u3057\u3001\u30b5\u30a4\u30d0\u30fc\u653b\u6483\u306e\u65e9\u671f\u767a\u898b\u3068\u5bfe\u5fdc\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>\u8105\u5a01\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u306e\u81ea\u52d5\u53ce\u96c6\u306b\u3082\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n\u60c5\u5831\u62bd\u51fa\u6280\u8853\u306f\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u904b\u7528\u30bb\u30f3\u30bf\u30fc\uff08SOC\uff09\u306b\u304a\u3044\u3066\u7570\u5e38\u691c\u77e5\u3084\u653b\u6483\u30d1\u30bf\u30fc\u30f3\u306e\u7279\u5b9a\u306b\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3068\u3057\u3066\u3001Splunk\u3084Elastic\u306a\u3069\u306e\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u60c5\u5831\u30a4\u30d9\u30f3\u30c8\u7ba1\u7406\uff08SIEM\uff09\u30c4\u30fc\u30eb\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n<p>7. \u4eba\u4e8b\u30fb\u63a1\u7528<\/p>\n<p>\u5c65\u6b74\u66f8\u3084\u8077\u52d9\u7d4c\u6b74\u66f8\u304b\u3089\u5019\u88dc\u8005\u306e\u30b9\u30ad\u30eb\u3084\u7d4c\u9a13\u3092\u62bd\u51fa\u3057\u3001\u9069\u5207\u306a\u30dd\u30b8\u30b7\u30e7\u30f3\u306b\u30de\u30c3\u30c1\u30f3\u30b0\u3055\u305b\u307e\u3059\u3002<\/p>\n<p>\u52b9\u679c\u7684\u306a\u63a1\u7528\u30d7\u30ed\u30bb\u30b9\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<p>\u6839\u62e0<br \/>\n\u591a\u304f\u306e\u4f01\u696d\u304c\u63a1\u7528\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\uff08ATS\uff09\u3092\u4f7f\u7528\u3057\u3066\u304a\u308a\u3001\u5fdc\u52df\u8005\u306e\u60c5\u5831\u3092\u81ea\u52d5\u62bd\u51fa\u30fb\u5206\u985e\u3057\u3066\u52b9\u7387\u7684\u306b\u51e6\u7406\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3048\u3070\u3001LinkedIn\u306e\u300cTalent Insights\u300d\u306f\u3001\u60c5\u5831\u62bd\u51fa\u6280\u8853\u3092\u6d3b\u7528\u3057\u3066\u4f01\u696d\u306b\u6700\u9069\u306a\u5019\u88dc\u8005\u3092\u63a8\u85a6\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u7d50\u8ad6<\/p>\n<p>\u60c5\u5831\u62bd\u51fa\u6280\u8853\u306f\u3001\u5546\u696d\u30fb\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u3001\u30d8\u30eb\u30b9\u30b1\u30a2\u3001\u6cd5\u5f8b\u30fb\u30b3\u30f3\u30d7\u30e9\u30a4\u30a2\u30f3\u30b9\u3001\u30cb\u30e5\u30fc\u30b9\u30fb\u30e1\u30c7\u30a3\u30a2\u3001\u9867\u5ba2\u30b5\u30dd\u30fc\u30c8\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u4eba\u4e8b\u30fb\u63a1\u7528\u306a\u3069\u591a\u5c90\u306b\u308f\u305f\u308b\u5206\u91ce\u3067\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u305d\u308c\u305e\u308c\u306e\u5206\u91ce\u3067\u3001\u30c7\u30fc\u30bf\u304b\u3089\u8fc5\u901f\u304b\u3064\u6b63\u78ba\u306b\u6709\u7528\u306a\u60c5\u5831\u3092\u5f97\u308b\u3053\u3068\u304c\u6c42\u3081\u3089\u308c\u3066\u304a\u308a\u3001\u60c5\u5831\u62bd\u51fa\u6280\u8853\u306e\u9032\u5316\u304c\u305d\u306e\u30cb\u30fc\u30ba\u306b\u5fdc\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u76ee\u6b21\u304c\u8aad\u8005\u306b\u5bfe\u3057\u3066\u3001\u8a18\u4e8b\u306e\u5185\u5bb9\u3084\u69cb\u9020\u3092\u660e\u78ba\u306b\u4f1d\u3048\u308b\u306e\u306b\u5f79\u7acb\u3064\u3053\u3068\u3092\u9858\u3063\u3066\u3044\u307e\u3059\u3002<br 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