{"id":477106,"date":"2023-08-09T09:07:44","date_gmt":"2023-08-09T09:07:44","guid":{"rendered":""},"modified":"2023-09-05T11:14:02","modified_gmt":"2023-09-05T11:14:02","slug":"entity-embeddings","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/entity-embeddings\/","title":{"rendered":"\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f"},"content":{"rendered":"<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3068\u30c7\u30fc\u30bf\u8868\u73fe\u3067\u4f7f\u7528\u3055\u308c\u308b\u5f37\u529b\u306a\u624b\u6cd5\u3067\u3059\u3002\u3053\u308c\u3089\u306f\u30ab\u30c6\u30b4\u30ea 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(NLP) \u306e\u5206\u91ce\u306b\u7531\u6765\u3057\u3001Tomas Mikolov \u3089\u306b\u3088\u3063\u3066\u63d0\u6848\u3055\u308c\u305f word2vec \u30e2\u30c7\u30eb\u3067\u521d\u3081\u3066\u6ce8\u76ee\u306b\u5024\u3057\u307e\u3059\u3002 word2vec \u30e2\u30c7\u30eb\u306f\u5f53\u521d\u3001\u5927\u898f\u6a21\u306a\u30c6\u30ad\u30b9\u30c8 \u30b3\u30fc\u30d1\u30b9\u304b\u3089\u9023\u7d9a\u3057\u305f\u5358\u8a9e\u8868\u73fe\u3092\u5b66\u7fd2\u3057\u3001\u5358\u8a9e\u306e\u985e\u4f3c\u6027\u3084\u5358\u8a9e\u306e\u985e\u4f3c\u6027\u306a\u3069\u306e NLP \u30bf\u30b9\u30af\u306e\u52b9\u7387\u3092\u5411\u4e0a\u3055\u305b\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u307e\u3057\u305f\u3002\u7814\u7a76\u8005\u306f\u3001\u540c\u69d8\u306e\u624b\u6cd5\u3092\u3055\u307e\u3056\u307e\u306a\u30c9\u30e1\u30a4\u30f3\u306e\u30ab\u30c6\u30b4\u30ea\u5909\u6570\u306b\u9069\u7528\u3067\u304d\u308b\u3053\u3068\u306b\u3059\u3050\u306b\u6c17\u3065\u304d\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u306e\u958b\u767a\u306b\u3064\u306a\u304c\u308a\u307e\u3057\u305f\u3002<\/p>\n<h2>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831\u3002\u30c8\u30d4\u30c3\u30af\u300c\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u300d\u3092\u5c55\u958b\u3057\u307e\u3059\u3002<\/h2>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306f\u3001\u672c\u8cea\u7684\u306b\u306f\u3001\u9023\u7d9a\u7a7a\u9593\u5185\u306e\u540d\u524d\u3001ID\u3001\u30e9\u30d9\u30eb\u306a\u3069\u306e\u30ab\u30c6\u30b4\u30ea\u5909\u6570\u306e\u30d9\u30af\u30c8\u30eb\u8868\u73fe\u3067\u3059\u3002\u30ab\u30c6\u30b4\u30ea\u30ab\u30eb\u5909\u6570\u306e\u305d\u308c\u305e\u308c\u306e\u4e00\u610f\u306e\u5024\u306f\u56fa\u5b9a\u9577\u30d9\u30af\u30c8\u30eb\u306b\u30de\u30c3\u30d4\u30f3\u30b0\u3055\u308c\u3001\u540c\u69d8\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306f\u3053\u306e\u9023\u7d9a\u7a7a\u9593\u5185\u3067\u8fd1\u3044\u30d9\u30af\u30c8\u30eb\u306b\u3088\u3063\u3066\u8868\u3055\u308c\u307e\u3059\u3002\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u57fa\u790e\u7684\u306a\u95a2\u4fc2\u3092\u30ad\u30e3\u30d7\u30c1\u30e3\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u306b\u3068\u3063\u3066\u8cb4\u91cd\u3067\u3059\u3002<\/p>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306e\u80cc\u5f8c\u306b\u3042\u308b\u6982\u5ff5\u306f\u3001\u540c\u69d8\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306b\u306f\u540c\u69d8\u306e\u57cb\u3081\u8fbc\u307f\u304c\u5fc5\u8981\u3067\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002\u3053\u308c\u3089\u306e\u57cb\u3081\u8fbc\u307f\u306f\u3001\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u3067\u30cb\u30e5\u30fc\u30e9\u30eb 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\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u5f8c\u3001\u5b66\u7fd2\u3055\u308c\u305f\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u304c\u30e2\u30c7\u30eb\u304b\u3089\u62bd\u51fa\u3055\u308c\u3001\u4ed6\u306e\u30bf\u30b9\u30af\u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u7d50\u679c\u3068\u3057\u3066\u5f97\u3089\u308c\u308b\u57cb\u3081\u8fbc\u307f\u306f\u3001\u30ab\u30c6\u30b4\u30ea\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u610f\u5473\u306e\u3042\u308b\u6570\u5024\u8868\u73fe\u3092\u63d0\u4f9b\u3057\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u95a2\u4fc2\u3092\u6d3b\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n<h2>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u306e\u4e3b\u8981\u306a\u6a5f\u80fd\u306e\u5206\u6790\u3002<\/h2>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306b\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u306b\u3068\u3063\u3066\u4fa1\u5024\u306e\u3042\u308b\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u6a5f\u80fd\u304c\u5099\u308f\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u7d99\u7d9a\u7684\u306a\u8868\u73fe:<\/strong> \u5404\u30ab\u30c6\u30b4\u30ea\u304c\u758e\u306a\u30d0\u30a4\u30ca\u30ea \u30d9\u30af\u30c8\u30eb\u3068\u3057\u3066\u8868\u73fe\u3055\u308c\u308b\u30ef\u30f3\u30db\u30c3\u30c8 \u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3068\u306f\u7570\u306a\u308a\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3 \u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306f\u9ad8\u5bc6\u5ea6\u3067\u9023\u7d9a\u7684\u306a\u8868\u73fe\u3092\u63d0\u4f9b\u3057\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u95a2\u4fc2\u3092\u52b9\u679c\u7684\u306b\u30ad\u30e3\u30d7\u30c1\u30e3\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6b21\u5143\u524a\u6e1b:<\/strong> \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306b\u3088\u308a\u3001\u30ab\u30c6\u30b4\u30ea \u30c7\u30fc\u30bf\u306e\u6b21\u5143\u304c\u524a\u6e1b\u3055\u308c\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u7ba1\u7406\u3057\u3084\u3059\u304f\u306a\u308a\u3001\u904e\u5270\u9069\u5408\u306e\u30ea\u30b9\u30af\u304c\u8efd\u6e1b\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6a5f\u80fd\u306e\u5b66\u7fd2:<\/strong> \u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u610f\u5473\u306e\u3042\u308b\u95a2\u4fc2\u3092\u30ad\u30e3\u30d7\u30c1\u30e3\u3057\u3001\u30e2\u30c7\u30eb\u304c\u3088\u308a\u9069\u5207\u306b\u4e00\u822c\u5316\u3057\u3001\u30bf\u30b9\u30af\u9593\u3067\u77e5\u8b58\u3092\u4f1d\u9054\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30ab\u30fc\u30c7\u30a3\u30ca\u30ea\u30c6\u30a3\u306e\u9ad8\u3044\u30c7\u30fc\u30bf\u306e\u51e6\u7406:<\/strong> \u30ef\u30f3\u30db\u30c3\u30c8 \u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u306f\u3001\u30ab\u30fc\u30c7\u30a3\u30ca\u30ea\u30c6\u30a3\u304c\u9ad8\u3044\u30ab\u30c6\u30b4\u30ea\u5909\u6570 (\u591a\u6570\u306e\u4e00\u610f\u306e\u30ab\u30c6\u30b4\u30ea) \u3067\u306f\u975e\u73fe\u5b9f\u7684\u306b\u306a\u308a\u307e\u3059\u3002\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306f\u3001\u3053\u306e\u554f\u984c\u306b\u5bfe\u3059\u308b\u30b9\u30b1\u30fc\u30e9\u30d6\u30eb\u306a\u89e3\u6c7a\u7b56\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u305f\uff1a<\/strong> \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u3092\u7d44\u307f\u8fbc\u3093\u3060\u30e2\u30c7\u30eb\u306f\u3001\u7279\u306b\u30ab\u30c6\u30b4\u30ea\u30c7\u30fc\u30bf\u3092\u542b\u3080\u30bf\u30b9\u30af\u306b\u304a\u3044\u3066\u3001\u5f93\u6765\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3068\u6bd4\u8f03\u3057\u3066\u512a\u308c\u305f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u9054\u6210\u3059\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u306e\u7a2e\u985e<\/h2>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306b\u306f\u3044\u304f\u3064\u304b\u306e\u7a2e\u985e\u304c\u3042\u308a\u3001\u305d\u308c\u305e\u308c\u306b\u72ec\u81ea\u306e\u7279\u6027\u3068\u7528\u9014\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u822c\u7684\u306a\u30bf\u30a4\u30d7\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u30bf\u30a4\u30d7<\/th>\n<th>\u7279\u5fb4<\/th>\n<th>\u4f7f\u7528\u4f8b<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u5358\u8a9e\u306e\u57cb\u3081\u8fbc\u307f<\/td>\n<td>NLP \u3067\u5358\u8a9e\u3092\u9023\u7d9a\u30d9\u30af\u30c8\u30eb\u3068\u3057\u3066\u8868\u3059\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/td>\n<td>\u8a00\u8a9e\u30e2\u30c7\u30ea\u30f3\u30b0\u3001\u611f\u60c5\u5206\u6790\u3001\u5358\u8a9e\u306e\u30a2\u30ca\u30ed\u30b8\u30fc<\/td>\n<\/tr>\n<tr>\n<td>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a32Vec<\/td>\n<td>\u30e6\u30fc\u30b6\u30fc\u3001\u88fd\u54c1\u306a\u3069\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u3002<\/td>\n<td>\u5354\u8abf\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3001\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0<\/td>\n<\/tr>\n<tr>\n<td>\u30ce\u30fc\u30c9\u306e\u57cb\u3081\u8fbc\u307f<\/td>\n<td>\u30b0\u30e9\u30d5\u30d9\u30fc\u30b9\u306e\u30c7\u30fc\u30bf\u3067\u30ce\u30fc\u30c9\u3092\u8868\u3059\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/td>\n<td>\u30ea\u30f3\u30af\u4e88\u6e2c\u3001\u30ce\u30fc\u30c9\u5206\u985e\u3001\u30b0\u30e9\u30d5\u57cb\u3081\u8fbc\u307f<\/td>\n<\/tr>\n<tr>\n<td>\u753b\u50cf\u306e\u57cb\u3081\u8fbc\u307f<\/td>\n<td>\u753b\u50cf\u3092\u9023\u7d9a\u30d9\u30af\u30c8\u30eb\u3068\u3057\u3066\u8868\u73fe\u3059\u308b<\/td>\n<td>\u753b\u50cf\u306e\u985e\u4f3c\u6027\u3001\u753b\u50cf\u691c\u7d22<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u305d\u308c\u305e\u308c\u306e\u30bf\u30a4\u30d7\u306e\u57cb\u3081\u8fbc\u307f\u306f\u7279\u5b9a\u306e\u76ee\u7684\u3092\u679c\u305f\u3057\u3001\u305d\u306e\u7528\u9014\u306f\u30c7\u30fc\u30bf\u306e\u6027\u8cea\u3068\u5f53\u9762\u306e\u554f\u984c\u306b\u3088\u3063\u3066\u7570\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2>Entity embedding \u306e\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u3068\u305d\u306e\u89e3\u6c7a\u7b56\u3002<\/h2>\n<h3>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u306e\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<ol>\n<li>\n<p><strong>\u7279\u5fb4\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0:<\/strong> \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u3092\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u6a5f\u80fd\u3068\u3057\u3066\u4f7f\u7528\u3059\u308b\u3068\u3001\u7279\u306b\u30ab\u30c6\u30b4\u30ea\u30c7\u30fc\u30bf\u3092\u6271\u3046\u5834\u5408\u306b\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8ee2\u79fb\u5b66\u7fd2:<\/strong> \u4e8b\u524d\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306f\u3001\u5b66\u7fd2\u3055\u308c\u305f\u8868\u73fe\u304c\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u307e\u305f\u306f\u30e2\u30c7\u30eb\u306b\u8ee2\u9001\u3055\u308c\u308b\u95a2\u9023\u30bf\u30b9\u30af\u3067\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3068\u8996\u899a\u5316:<\/strong> \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3 \u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u985e\u4f3c\u3057\u305f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u30af\u30e9\u30b9\u30bf\u5316\u3057\u3001\u305d\u308c\u3089\u3092\u4f4e\u6b21\u5143\u7a7a\u9593\u3067\u8996\u899a\u5316\u3057\u3001\u30c7\u30fc\u30bf\u69cb\u9020\u3078\u306e\u6d1e\u5bdf\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h3>\u554f\u984c\u3068\u89e3\u6c7a\u7b56<\/h3>\n<ol>\n<li>\n<p><strong>\u57cb\u3081\u8fbc\u307f\u5bf8\u6cd5:<\/strong> \u9069\u5207\u306a\u57cb\u3081\u8fbc\u307f\u30c7\u30a3\u30e1\u30f3\u30b7\u30e7\u30f3\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002\u6b21\u5143\u304c\u5c11\u306a\u3059\u304e\u308b\u3068\u91cd\u8981\u306a\u60c5\u5831\u304c\u5931\u308f\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u6b21\u5143\u304c\u591a\u3059\u304e\u308b\u3068\u904e\u5270\u9069\u5408\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u6b21\u5143\u524a\u6e1b\u30c6\u30af\u30cb\u30c3\u30af\u306f\u3001\u6700\u9069\u306a\u30d0\u30e9\u30f3\u30b9\u3092\u898b\u3064\u3051\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b3\u30fc\u30eb\u30c9\u30b9\u30bf\u30fc\u30c8\u306e\u554f\u984c:<\/strong> \u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3 \u30b7\u30b9\u30c6\u30e0\u3067\u306f\u3001\u65e2\u5b58\u306e\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u3092\u6301\u305f\u306a\u3044\u65b0\u3057\u3044\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306f\u300c\u30b3\u30fc\u30eb\u30c9 \u30b9\u30bf\u30fc\u30c8\u300d\u554f\u984c\u306b\u76f4\u9762\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u30b3\u30f3\u30c6\u30f3\u30c4\u30d9\u30fc\u30b9\u306e\u63a8\u5968\u3084\u5354\u8abf\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u306a\u3069\u306e\u6280\u8853\u306f\u3001\u3053\u306e\u554f\u984c\u306e\u89e3\u6c7a\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u57cb\u3081\u8fbc\u307f\u54c1\u8cea:<\/strong> \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u306e\u54c1\u8cea\u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u4f7f\u7528\u3055\u308c\u308b\u30c7\u30fc\u30bf\u3068\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u5927\u304d\u304f\u4f9d\u5b58\u3057\u307e\u3059\u3002\u30e2\u30c7\u30eb\u3092\u5fae\u8abf\u6574\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u8a66\u3057\u3066\u307f\u308b\u3053\u3068\u3067\u3001\u57cb\u3081\u8fbc\u307f\u306e\u54c1\u8cea\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3084\u305d\u306e\u4ed6\u306e\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03\u3092\u8868\u3084\u30ea\u30b9\u30c8\u306e\u5f62\u5f0f\u3067\u793a\u3057\u307e\u3059\u3002<\/h2>\n<h3>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u3068\u30ef\u30f3\u30db\u30c3\u30c8 \u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0<\/h3>\n<table>\n<thead>\n<tr>\n<th>\u7279\u6027<\/th>\n<th>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f<\/th>\n<th>\u30ef\u30f3\u30db\u30c3\u30c8\u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30c7\u30fc\u30bf\u8868\u73fe<\/td>\n<td>\u9023\u7d9a\u3057\u305f\u5bc6\u306a\u30d9\u30af\u30c8\u30eb<\/td>\n<td>\u30b9\u30d1\u30fc\u30b9\u306a\u30d0\u30a4\u30ca\u30ea \u30d9\u30af\u30c8\u30eb<\/td>\n<\/tr>\n<tr>\n<td>\u6b21\u5143\u6027<\/td>\n<td>\u6b21\u5143\u306e\u524a\u6e1b<\/td>\n<td>\u9ad8\u6b21\u5143\u6027<\/td>\n<\/tr>\n<tr>\n<td>\u95a2\u4fc2\u306e\u6355\u6349<\/td>\n<td>\u6839\u5e95\u306b\u3042\u308b\u95a2\u4fc2\u3092\u6349\u3048\u308b<\/td>\n<td>\u56fa\u6709\u306e\u95a2\u4fc2\u60c5\u5831\u306a\u3057<\/td>\n<\/tr>\n<tr>\n<td>\u9ad8\u3044\u30ab\u30fc\u30c7\u30a3\u30ca\u30ea\u30c6\u30a3\u306e\u51e6\u7406<\/td>\n<td>\u30ab\u30fc\u30c7\u30a3\u30ca\u30ea\u30c6\u30a3\u306e\u9ad8\u3044\u30c7\u30fc\u30bf\u306b\u52b9\u679c\u7684<\/td>\n<td>\u30ab\u30fc\u30c7\u30a3\u30ca\u30ea\u30c6\u30a3\u306e\u9ad8\u3044\u30c7\u30fc\u30bf\u306e\u5834\u5408\u306f\u975e\u52b9\u7387\u7684<\/td>\n<\/tr>\n<tr>\n<td>\u4f7f\u7528\u6cd5<\/td>\n<td>\u3055\u307e\u3056\u307e\u306a ML \u30bf\u30b9\u30af\u306b\u9069\u3057\u3066\u3044\u307e\u3059<\/td>\n<td>\u5358\u7d14\u306a\u30ab\u30c6\u30b4\u30ea\u7279\u5fb4\u91cf\u306b\u9650\u5b9a\u3055\u308c\u308b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306b\u95a2\u9023\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3002<\/h2>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u306f\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u305d\u306e\u6709\u52b9\u6027\u304c\u3059\u3067\u306b\u5b9f\u8a3c\u3055\u308c\u3066\u304a\u308a\u3001\u305d\u306e\u95a2\u9023\u6027\u306f\u4eca\u5f8c\u3055\u3089\u306b\u9ad8\u307e\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306b\u95a2\u9023\u3059\u308b\u89b3\u70b9\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u9032\u6b69:<\/strong> \u6df1\u5c64\u5b66\u7fd2\u304c\u9032\u6b69\u3057\u7d9a\u3051\u308b\u306b\u3064\u308c\u3066\u3001\u65b0\u3057\u3044\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u304c\u51fa\u73fe\u3057\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u306e\u54c1\u8cea\u3068\u4f7f\u3044\u3084\u3059\u3055\u304c\u3055\u3089\u306b\u5411\u4e0a\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u81ea\u52d5\u5316\u3055\u308c\u305f\u7279\u5fb4\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0:<\/strong> \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u3092\u81ea\u52d5\u6a5f\u68b0\u5b66\u7fd2 (AutoML) \u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306b\u7d71\u5408\u3057\u3066\u3001\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u3068\u30e2\u30c7\u30eb\u69cb\u7bc9\u30d7\u30ed\u30bb\u30b9\u3092\u5f37\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u57cb\u3081\u8fbc\u307f:<\/strong> \u5c06\u6765\u306e\u7814\u7a76\u306f\u3001\u8907\u6570\u306e\u30e2\u30c0\u30ea\u30c6\u30a3 (\u30c6\u30ad\u30b9\u30c8\u3001\u753b\u50cf\u3001\u30b0\u30e9\u30d5) \u3092\u540c\u6642\u306b\u8868\u73fe\u3067\u304d\u308b\u57cb\u3081\u8fbc\u307f\u306e\u751f\u6210\u306b\u7126\u70b9\u3092\u5f53\u3066\u3001\u3088\u308a\u5305\u62ec\u7684\u306a\u30c7\u30fc\u30bf\u8868\u73fe\u3092\u53ef\u80fd\u306b\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3001\u307e\u305f\u306f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306b\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5\u3002<\/h2>\n<p>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3068\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306f\u3001\u7279\u306b\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3068\u30c7\u30fc\u30bf \u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u306e\u5f37\u5316\u306b\u95a2\u3057\u3066\u3001\u3055\u307e\u3056\u307e\u306a\u65b9\u6cd5\u3067\u95a2\u9023\u4ed8\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30e6\u30fc\u30b6\u30fc \u30c7\u30fc\u30bf\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7528\u306e\u30e2\u30c7\u30eb\u306b\u5165\u529b\u3055\u308c\u308b\u524d\u306b\u533f\u540d\u5316\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3068\u30c7\u30fc\u30bf\u4fdd\u8b77\u898f\u5236\u306e\u9075\u5b88\u3092\u7dad\u6301\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u96c6\u7d04:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u500b\u3005\u306e\u30e6\u30fc\u30b6\u30fc\u306e\u533f\u540d\u6027\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u3001\u3055\u307e\u3056\u307e\u306a\u30bd\u30fc\u30b9\u304b\u3089\u306e\u30c7\u30fc\u30bf\u3092\u96c6\u7d04\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u96c6\u7d04\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u57cb\u3081\u8fbc\u307f\u3092\u4f7f\u7528\u3057\u3066\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5206\u6563\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0:<\/strong> \u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u52b9\u7387\u7684\u306b\u51e6\u7406\u3059\u308b\u305f\u3081\u306b\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u304c\u5206\u6563\u30b7\u30b9\u30c6\u30e0\u4e0a\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u3053\u306e\u3088\u3046\u306a\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u306b\u304a\u3051\u308b\u7570\u306a\u308b\u30ce\u30fc\u30c9\u9593\u306e\u901a\u4fe1\u3092\u5bb9\u6613\u306b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<p>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1301.3781\" target=\"_new\" rel=\"noopener nofollow\">Tomas Mikolov \u4ed6\u3001\u300c\u30d9\u30af\u30c8\u30eb\u7a7a\u9593\u306b\u304a\u3051\u308b\u5358\u8a9e\u8868\u73fe\u306e\u52b9\u7387\u7684\u306a\u63a8\u5b9a\u300d<\/a><\/li>\n<li><a href=\"https:\/\/www.tensorflow.org\/tutorials\/text\/word2vec\" target=\"_new\" rel=\"noopener nofollow\">Word2Vec \u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb \u2013 \u30b9\u30ad\u30c3\u30d7\u30b0\u30e9\u30e0 \u30e2\u30c7\u30eb<\/a><\/li>\n<li><a href=\"https:\/\/www.deeplearningbook.org\/contents\/representation.html\" target=\"_new\" rel=\"noopener nofollow\">\u6df1\u5c64\u5b66\u7fd2\u306e\u672c \u2013 \u8868\u73fe\u5b66\u7fd2<\/a><\/li>\n<\/ul>\n<p>\u7d50\u8ad6\u3068\u3057\u3066\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u30ab\u30c6\u30b4\u30ea\u30c7\u30fc\u30bf\u306e\u8868\u73fe\u65b9\u6cd5\u306b\u9769\u547d\u3092\u3082\u305f\u3089\u3057\u307e\u3057\u305f\u3002\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u610f\u5473\u306e\u3042\u308b\u95a2\u4fc2\u3092\u30ad\u30e3\u30d7\u30c1\u30e3\u3059\u308b\u6a5f\u80fd\u306b\u3088\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u30c9\u30e1\u30a4\u30f3\u306b\u308f\u305f\u3063\u3066\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u5927\u5e45\u306b\u5411\u4e0a\u3057\u307e\u3057\u305f\u3002\u6df1\u5c64\u5b66\u7fd2\u3068\u30c7\u30fc\u30bf\u8868\u73fe\u306e\u7814\u7a76\u304c\u9032\u5316\u3057\u7d9a\u3051\u308b\u306b\u3064\u308c\u3066\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u57cb\u3081\u8fbc\u307f\u306f\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u5c06\u6765\u3092\u5f62\u4f5c\u308b\u4e0a\u3067\u3055\u3089\u306b\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u614b\u52e2\u304c\u6574\u3063\u3066\u3044\u307e\u3059\u3002<\/p>","protected":false},"featured_media":468318,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477106","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Entity embeddings: Unleashing the Power of Data Representation<\/mark>","faq_items":[{"question":"What are entity embeddings?","answer":"<p>Entity embeddings are powerful techniques used in machine learning to convert categorical data into continuous vectors. They provide dense numerical representations of categorical variables, enabling algorithms to better understand and process complex, high-dimensional, and sparse datasets.<\/p>"},{"question":"How did entity embeddings originate?","answer":"<p>Entity embeddings originated from the field of natural language processing (NLP) and were first mentioned in the word2vec model proposed by Tomas Mikolov et al. in 2013. The word2vec model aimed to learn continuous word representations from large text corpora and paved the way for using similar techniques with categorical variables in various domains.<\/p>"},{"question":"How do entity embeddings work internally?","answer":"<p>The internal structure of entity embeddings is rooted in neural network architectures. During training, a neural network learns to predict the output based on categorical inputs, and the embeddings are adjusted to minimize the difference between predicted and actual targets. The resulting embeddings capture meaningful relationships between entities.<\/p>"},{"question":"What are the key features of entity embeddings?","answer":"<p>Entity embeddings offer several key features, including continuous representation, dimensionality reduction, feature learning, handling high cardinality data, and improved performance in various machine learning tasks.<\/p>"},{"question":"What types of entity embeddings exist?","answer":"<p>Several types of entity embeddings serve different purposes. Some common types include word embeddings for NLP, entity2vec for representing entities like users or products, node embeddings for graph-based data, and image embeddings for representing images as continuous vectors.<\/p>"},{"question":"How can entity embeddings be used?","answer":"<p>Entity embeddings can be used for feature engineering in machine learning models, transfer learning in related tasks, clustering and visualization of similar entities, and enhancing data privacy through proxy servers.<\/p>"},{"question":"What are some potential problems and solutions related to the use of entity embeddings?","answer":"<p>Choosing the right embedding dimension, addressing the cold-start problem in recommendation systems, and ensuring embedding quality through fine-tuning and experimentation are some common challenges. Dimensionality reduction techniques and content-based recommendation can help overcome these issues.<\/p>"},{"question":"How do entity embeddings compare to one-hot encoding?","answer":"<p>Entity embeddings provide continuous, dense vectors for categorical data, capturing underlying relationships, and handling high cardinality data more effectively. In contrast, one-hot encoding results in sparse, binary vectors without inherent relationship information and becomes inefficient for datasets with high cardinality.<\/p>"},{"question":"What are the future perspectives related to entity embeddings?","answer":"<p>As deep learning advances, entity embeddings are likely to improve further. Automated feature engineering using entity embeddings, multi-modal embeddings representing various data modalities, and enhanced privacy through proxy servers are among the future possibilities.<\/p>"},{"question":"How are proxy servers associated with entity embeddings?","answer":"<p>Proxy servers play a role in data preprocessing and privacy protection when using entity embeddings. They can anonymize user data, aggregate data while preserving anonymity, and facilitate communication in distributed training setups.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477106","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477106\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/468318"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=477106"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}