{"id":478093,"date":"2023-08-09T09:27:19","date_gmt":"2023-08-09T09:27:19","guid":{"rendered":""},"modified":"2023-09-05T11:16:02","modified_gmt":"2023-09-05T11:16:02","slug":"named-entity-recognition-ner","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/named-entity-recognition-ner\/","title":{"rendered":"\u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58 (NER)"},"content":{"rendered":"<p>\u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58 (NER) \u306b\u95a2\u3059\u308b\u7c21\u5358\u306a\u60c5\u5831: \u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58 (NER) \u306f\u3001\u30c6\u30ad\u30b9\u30c8\u5185\u306e\u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u8b58\u5225\u3068\u5206\u985e\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u305f\u81ea\u7136\u8a00\u8a9e\u51e6\u7406 (NLP) \u306e\u30b5\u30d6\u30d5\u30a3\u30fc\u30eb\u30c9\u3067\u3059\u3002\u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306b\u306f\u3001\u4eba\u7269\u3001\u7d44\u7e54\u3001\u5834\u6240\u3001\u6642\u9593\u306e\u8868\u73fe\u3001\u6570\u91cf\u3001\u91d1\u92ad\u7684\u4fa1\u5024\u3001\u30d1\u30fc\u30bb\u30f3\u30c6\u30fc\u30b8\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<h2>\u56fa\u6709\u8868\u73fe\u62bd\u51fa (NER) \u306e\u8d77\u6e90\u3068\u305d\u306e\u6700\u521d\u306e\u8a00\u53ca\u306e\u6b74\u53f2<\/h2>\n<p>\u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58\u306f\u30011990 \u5e74\u4ee3\u521d\u982d\u306b\u5f62\u306b\u306a\u308a\u59cb\u3081\u307e\u3057\u305f\u3002NER \u306e\u6700\u521d\u306e\u4e8b\u4f8b\u306e 1 \u3064\u306f\u30011995 \u5e74\u306e\u7b2c 6 \u56de\u30e1\u30c3\u30bb\u30fc\u30b8\u7406\u89e3\u4f1a\u8b70 (MUC-6) \u3067\u3057\u305f\u3002\u305d\u306e\u6642\u70b9\u304b\u3089\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u304c\u4eba\u9593\u306e\u8a00\u8a9e\u3092\u3088\u308a\u52b9\u679c\u7684\u306b\u7406\u89e3\u304a\u3088\u3073\u89e3\u91c8\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u5fc5\u8981\u6027\u306b\u99c6\u308a\u7acb\u3066\u3089\u308c\u3001\u3053\u306e\u5206\u91ce\u306e\u7814\u7a76\u304c\u76db\u3093\u306b\u306a\u308a\u59cb\u3081\u307e\u3057\u305f\u3002<\/p>\n<h2>\u56fa\u6709\u8868\u73fe\u62bd\u51fa (NER) \u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831: \u30c8\u30d4\u30c3\u30af\u306e\u62e1\u5f35<\/h2>\n<p>\u56fa\u6709\u8868\u73fe\u8a8d\u8b58 (NER) \u306f\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3044\u3066\u3055\u307e\u3056\u307e\u306a\u6a5f\u80fd\u3092\u679c\u305f\u3057\u307e\u3059\u3002NER \u306e\u7528\u9014\u306f\u3001\u60c5\u5831\u691c\u7d22\u3001\u6a5f\u68b0\u7ffb\u8a33\u3001\u30c7\u30fc\u30bf \u30de\u30a4\u30cb\u30f3\u30b0\u306a\u3069\u3001\u8907\u6570\u306e\u5206\u91ce\u306b\u308f\u305f\u308a\u307e\u3059\u3002NER \u306f\u3001\u4e3b\u306b\u6b21\u306e 2 \u3064\u306e\u90e8\u5206\u304b\u3089\u69cb\u6210\u3055\u308c\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8b58\u5225<\/strong>: \u30c6\u30ad\u30b9\u30c8\u5185\u306e\u539f\u5b50\u8981\u7d20\u3092\u7279\u5b9a\u3057\u3001\u4eba\u540d\u3001\u7d44\u7e54\u540d\u3001\u5834\u6240\u540d\u306a\u3069\u306e\u5b9a\u7fa9\u6e08\u307f\u30ab\u30c6\u30b4\u30ea\u306b\u5206\u985e\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u5206\u985e<\/strong>: \u8b58\u5225\u3055\u308c\u305f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u3055\u307e\u3056\u307e\u306a\u5b9a\u7fa9\u6e08\u307f\u30af\u30e9\u30b9\u306b\u5206\u985e\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n<p>NER \u306b\u306f\u3001\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9 \u30b7\u30b9\u30c6\u30e0\u3001\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u3001\u534a\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u3001\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u3092\u901a\u3058\u3066\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u56fa\u6709\u8868\u73fe\u62bd\u51fa (NER) \u306e\u5185\u90e8\u69cb\u9020: \u56fa\u6709\u8868\u73fe\u62bd\u51fa (NER) \u306e\u4ed5\u7d44\u307f<\/h2>\n<p>NER \u306e\u5185\u90e8\u69cb\u9020\u306b\u306f\u3044\u304f\u3064\u304b\u306e\u6bb5\u968e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u30c8\u30fc\u30af\u30f3\u5316<\/strong>: \u30c6\u30ad\u30b9\u30c8\u3092\u500b\u3005\u306e\u5358\u8a9e\u307e\u305f\u306f\u30c8\u30fc\u30af\u30f3\u306b\u5206\u89e3\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u54c1\u8a5e\u30bf\u30b0\u4ed8\u3051<\/strong>: \u30c8\u30fc\u30af\u30f3\u306e\u6587\u6cd5\u30ab\u30c6\u30b4\u30ea\u3092\u8b58\u5225\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u89e3\u6790\u4e2d<\/strong>: \u6587\u7ae0\u306e\u6587\u6cd5\u69cb\u9020\u3092\u5206\u6790\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u306e\u8b58\u5225\u3068\u5206\u985e<\/strong>: \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u8b58\u5225\u3057\u3001\u5b9a\u7fa9\u6e08\u307f\u306e\u30ab\u30c6\u30b4\u30ea\u306b\u5206\u985e\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n<h2>\u56fa\u6709\u8868\u73fe\u62bd\u51fa (NER) \u306e\u4e3b\u306a\u7279\u5fb4\u306e\u5206\u6790<\/h2>\n<p>NER \u306e\u4e3b\u306a\u6a5f\u80fd\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ol>\n<li><strong>\u6b63\u78ba\u3055<\/strong>: \u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u6b63\u3057\u304f\u8b58\u5225\u304a\u3088\u3073\u5206\u985e\u3059\u308b\u80fd\u529b\u3002<\/li>\n<li><strong>\u30b9\u30d4\u30fc\u30c9<\/strong>: \u30c6\u30ad\u30b9\u30c8\u306e\u51e6\u7406\u306b\u304b\u304b\u308b\u6642\u9593\u3002<\/li>\n<li><strong>\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3<\/strong>: \u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u51e6\u7406\u3059\u308b\u80fd\u529b\u3002<\/li>\n<li><strong>\u8a00\u8a9e\u306e\u72ec\u7acb\u6027<\/strong>: \u7570\u306a\u308b\u8a00\u8a9e\u9593\u3067\u4f7f\u7528\u53ef\u80fd\u3002<\/li>\n<li><strong>\u9069\u5fdc\u6027<\/strong>: \u7279\u5b9a\u306e\u30c9\u30e1\u30a4\u30f3\u3084\u696d\u754c\u306b\u5408\u308f\u305b\u3066\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n<h2>\u56fa\u6709\u8868\u73fe\u62bd\u51fa\uff08NER\uff09\u306e\u7a2e\u985e: \u8868\u3068\u30ea\u30b9\u30c8\u306e\u4f7f\u7528<\/h2>\n<p>NER \u306e\u7a2e\u985e\u306f\u6b21\u306e\u3088\u3046\u306b\u5206\u985e\u3067\u304d\u307e\u3059\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u30bf\u30a4\u30d7<\/th>\n<th>\u8aac\u660e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306eNER<\/td>\n<td>\u5b9a\u7fa9\u6e08\u307f\u306e\u6587\u6cd5\u898f\u5247\u3092\u5229\u7528\u3059\u308b<\/td>\n<\/tr>\n<tr>\n<td>\u76e3\u7763\u4ed8\u304dNER<\/td>\n<td>\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u30e9\u30d9\u30eb\u4ed8\u304d\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3059\u308b<\/td>\n<\/tr>\n<tr>\n<td>\u534a\u6559\u5e2b\u3042\u308aNER<\/td>\n<td>\u30e9\u30d9\u30eb\u4ed8\u304d\u30c7\u30fc\u30bf\u3068\u30e9\u30d9\u30eb\u306a\u3057\u30c7\u30fc\u30bf\u3092\u7d44\u307f\u5408\u308f\u305b\u308b<\/td>\n<\/tr>\n<tr>\n<td>\u6559\u5e2b\u306a\u3057NER<\/td>\n<td>\u30e9\u30d9\u30eb\u4ed8\u3051\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u5fc5\u8981\u3068\u3057\u306a\u3044<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u56fa\u6709\u8868\u73fe\u62bd\u51fa\uff08NER\uff09\u306e\u6d3b\u7528\u65b9\u6cd5\u3001\u6d3b\u7528\u306b\u4f34\u3046\u554f\u984c\u70b9\u3068\u305d\u306e\u89e3\u6c7a\u7b56<\/h2>\n<p>NER \u306e\u4f7f\u7528\u65b9\u6cd5\u3068\u3057\u3066\u306f\u3001\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u3001\u9867\u5ba2\u30b5\u30dd\u30fc\u30c8\u3001\u30d8\u30eb\u30b9\u30b1\u30a2\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002\u554f\u984c\u3068\u305d\u306e\u89e3\u6c7a\u7b56\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ul>\n<li><strong>\u554f\u984c<\/strong>: \u30e9\u30d9\u30eb\u4ed8\u3051\u3055\u308c\u305f\u30c7\u30fc\u30bf\u304c\u4e0d\u8db3\u3057\u3066\u3044\u307e\u3059\u3002<br \/>\n<strong>\u89e3\u6c7a<\/strong>\u534a\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u307e\u305f\u306f\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u3092\u6d3b\u7528\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u554f\u984c<\/strong>: \u8a00\u8a9e\u56fa\u6709\u306e\u5236\u7d04\u3002<br \/>\n<strong>\u89e3\u6c7a<\/strong>: \u30e2\u30c7\u30eb\u3092\u7279\u5b9a\u306e\u8a00\u8a9e\u307e\u305f\u306f\u30c9\u30e1\u30a4\u30f3\u306b\u9069\u5fdc\u3055\u305b\u307e\u3059\u3002<\/li>\n<\/ul>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3068\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u7279\u5fb4<\/th>\n<th>\u30ca\u30fc<\/th>\n<th>\u305d\u306e\u4ed6\u306eNLP\u30bf\u30b9\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u96c6\u4e2d<\/td>\n<td>\u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3<\/td>\n<td>\u4e00\u822c\u30c6\u30ad\u30b9\u30c8<\/td>\n<\/tr>\n<tr>\n<td>\u8907\u96d1<\/td>\n<td>\u4e2d\u7a0b\u5ea6\u304b\u3089\u9ad8\u7a0b\u5ea6<\/td>\n<td>\u4e0d\u5b9a<\/td>\n<\/tr>\n<tr>\n<td>\u5fdc\u7528<\/td>\n<td>\u7279\u5b9a\u306e<\/td>\n<td>\u5e83\u3044<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u56fa\u6709\u8868\u73fe\u62bd\u51fa\uff08NER\uff09\u306b\u95a2\u3059\u308b\u4eca\u5f8c\u306e\u5c55\u671b\u3068\u6280\u8853<\/h2>\n<p>\u4eca\u5f8c\u306e\u5c55\u671b\u3068\u3057\u3066\u306f\u3001NER \u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u7d71\u5408\u3001\u3055\u307e\u3056\u307e\u306a\u8a00\u8a9e\u3078\u306e\u9069\u5fdc\u6027\u306e\u5411\u4e0a\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u51e6\u7406\u6a5f\u80fd\u306a\u3069\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n<h2>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u540d\u524d\u4ed8\u304d\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u8a8d\u8b58 (NER) \u3067\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u307e\u305f\u306f\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5<\/h2>\n<p>OneProxy \u304c\u63d0\u4f9b\u3059\u308b\u3088\u3046\u306a\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001NER \u306e\u30c7\u30fc\u30bf\u306e\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u306b\u5229\u7528\u3067\u304d\u307e\u3059\u3002\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u533f\u540d\u5316\u3059\u308b\u3053\u3068\u3067\u3001NER \u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u5b9f\u88c5\u306e\u305f\u3081\u306e\u30c6\u30ad\u30b9\u30c8 \u30c7\u30fc\u30bf\u3092\u52b9\u7387\u7684\u304b\u3064\u502b\u7406\u7684\u306b\u53ce\u96c6\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<ul>\n<li><a href=\"https:\/\/nlp.stanford.edu\/software\/CRF-NER.shtml\" target=\"_new\" rel=\"noopener nofollow\">\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9 NLP \u56fa\u6709\u8868\u73fe\u8a8d\u8b58\u30c4\u30fc\u30eb<\/a><\/li>\n<li><a href=\"https:\/\/www.nltk.org\/book\/ch07.html\" target=\"_new\" rel=\"noopener nofollow\">NLTK \u56fa\u6709\u8868\u73fe\u8a8d\u8b58<\/a><\/li>\n<li><a href=\"https:\/\/spacy.io\/usage\/linguistic-features#named-entities\" target=\"_new\" rel=\"noopener nofollow\">Spacy \u56fa\u6709\u8868\u73fe\u8a8d\u8b58<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/jp\/\" target=\"_new\" rel=\"noopener\">OneProxy<\/a>: NER \u3068\u7d44\u307f\u5408\u308f\u305b\u3066\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u5229\u7528\u3059\u308b\u5834\u5408\u3002<\/li>\n<\/ul>","protected":false},"featured_media":468975,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478093","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Named Entity Recognition (NER): A Comprehensive Overview<\/mark>","faq_items":[{"question":"What is Named Entity Recognition (NER)?","answer":"<p>Named Entity Recognition (NER) is a subfield of Natural Language Processing (NLP) that identifies and classifies named entities in text. These entities can include persons, organizations, locations, expressions of times, quantities, monetary values, percentages, and more.<\/p>"},{"question":"What are the main applications of Named Entity Recognition?","answer":"<p>Named Entity Recognition is used in various domains such as information retrieval, machine translation, data mining, search engines, customer support, and healthcare.<\/p>"},{"question":"How does Named Entity Recognition (NER) work?","answer":"<p>The process of NER involves several stages including tokenization, part-of-speech tagging, parsing, and finally identifying and classifying the entities into predefined categories such as names of persons, organizations, locations, etc.<\/p>"},{"question":"What are the key features of Named Entity Recognition (NER)?","answer":"<p>Key features of NER include accuracy in identifying and classifying entities, speed in processing text, scalability, language independence, and adaptability to specific domains or industries.<\/p>"},{"question":"What types of Named Entity Recognition (NER) exist?","answer":"<p>There are several types of NER, including Rule-Based NER, which utilizes predefined grammatical rules, Supervised NER that uses labeled data for training models, Semi-Supervised NER that combines labeled and unlabeled data, and Unsupervised NER that does not require labeled data.<\/p>"},{"question":"What are some problems with Named Entity Recognition, and how can they be solved?","answer":"<p>Some common problems include a lack of labeled data and language-specific constraints. These can be solved by utilizing semi-supervised or unsupervised learning methods and adapting the model to specific languages or domains.<\/p>"},{"question":"What are the future perspectives and technologies related to Named Entity Recognition (NER)?","answer":"<p>Future perspectives include integration with deep learning, adaptability to various languages, and the development of real-time processing capabilities.<\/p>"},{"question":"How can proxy servers be used with Named Entity Recognition (NER)?","answer":"<p>Proxy servers, such as those provided by OneProxy, can be used to scrape data for NER. They allow for efficient and ethical gathering of text data by anonymizing the requests, facilitating the training and implementation of NER models.<\/p>"},{"question":"Where can I find more information about Named Entity Recognition (NER)?","answer":"<p>You can learn more about NER from resources such as Stanford NLP Named Entity Recognizer, NLTK Named Entity Recognition, Spacy Named Entity Recognition, and OneProxy's website for utilizing proxy servers in conjunction with NER.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/478093","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\/478093\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/468975"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=478093"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}