{"id":478103,"date":"2023-08-09T09:27:27","date_gmt":"2023-08-09T09:27:27","guid":{"rendered":""},"modified":"2023-09-05T11:16:03","modified_gmt":"2023-09-05T11:16:03","slug":"natural-language-generation-nlg","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/natural-language-generation-nlg\/","title":{"rendered":"\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG)"},"content":{"rendered":"<p>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u662f\u4eba\u5de5\u667a\u80fd (AI) \u548c\u8ba1\u7b97\u8bed\u8a00\u5b66\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u4e13\u6ce8\u4e8e\u81ea\u52a8\u751f\u6210\u7c7b\u4f3c\u4eba\u7c7b\u7684\u81ea\u7136\u8bed\u8a00\u6587\u672c\u3002\u8fd9\u9879\u521b\u65b0\u6280\u672f\u80fd\u591f\u5c06\u7ed3\u6784\u5316\u6570\u636e\u8f6c\u6362\u4e3a\u8fde\u8d2f\u3001\u5bcc\u6709\u8868\u73b0\u529b\u4e14\u4e0e\u4e0a\u4e0b\u6587\u76f8\u5173\u7684\u6587\u672c\u53d9\u8ff0\uff0c\u56e0\u6b64\u5728\u5404\u4e2a\u884c\u4e1a\u4e2d\u83b7\u5f97\u4e86\u5e7f\u6cdb\u5173\u6ce8\u548c\u5e94\u7528\u3002<\/p>\n<h2>\u81ea\u7136\u8bed\u8a00\u751f\u6210\uff08NLG\uff09\u7684\u8d77\u6e90\u5386\u53f2\u4ee5\u53ca\u9996\u6b21\u63d0\u53ca\u5b83\u3002<\/h2>\n<p>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u7684\u8d77\u6e90\u53ef\u4ee5\u8ffd\u6eaf\u5230 20 \u4e16\u7eaa 60 \u5e74\u4ee3\u521d\u671f\uff0c\u5f53\u65f6\u7814\u7a76\u4eba\u5458\u548c\u8bed\u8a00\u5b66\u5bb6\u6b63\u5728\u8bd5\u9a8c\u8ba1\u7b97\u6a21\u578b\u6765\u7406\u89e3\u548c\u751f\u6210\u4eba\u7c7b\u8bed\u8a00\u3002NLG \u7684\u9996\u6b21\u63d0\u53ca\u53ef\u4ee5\u5f52\u56e0\u4e8e Daniel Bobrow \u5728 1964 \u5e74\u7684\u5de5\u4f5c\uff0c\u4ed6\u5f00\u53d1\u4e86\u201cSTUDENT\u201d\u7a0b\u5e8f\uff0c\u80fd\u591f\u901a\u8fc7\u5c06\u65b9\u7a0b\u5f0f\u8f6c\u6362\u4e3a\u81ea\u7136\u8bed\u8a00\u89e3\u91ca\u6765\u89e3\u51b3\u4ee3\u6570\u5e94\u7528\u9898\u3002<\/p>\n<h2>\u6709\u5173\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u7684\u8be6\u7ec6\u4fe1\u606f\u3002\u6269\u5c55\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u4e3b\u9898\u3002<\/h2>\n<p>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u6280\u672f\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u4e2d\u53d6\u5f97\u4e86\u663e\u7740\u53d1\u5c55\uff0c\u91c7\u7528\u4e86\u590d\u6742\u7684\u7b97\u6cd5\u548c\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b\u3002 NLG \u7684\u8fc7\u7a0b\u6d89\u53ca\u591a\u4e2a\u6b65\u9aa4\uff0c\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u5185\u5bb9\u7b56\u5212<\/strong>\uff1a\u5728\u6b64\u521d\u59cb\u9636\u6bb5\uff0c\u7cfb\u7edf\u6839\u636e\u8f93\u5165\u6570\u636e\u548c\u7528\u6237\u8981\u6c42\u786e\u5b9a\u751f\u6210\u7684\u6587\u672c\u4e2d\u5e94\u5305\u542b\u54ea\u4e9b\u4fe1\u606f\u3002\u5b83\u6807\u8bc6\u4e86\u8981\u8868\u8fbe\u7684\u5173\u952e\u70b9\u3001\u5b9e\u4f53\u548c\u5173\u7cfb\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6587\u6863\u7ed3\u6784<\/strong>\uff1aNLG \u7cfb\u7edf\u5c06\u6240\u9009\u5185\u5bb9\u7ec4\u7ec7\u6210\u8fde\u8d2f\u7684\u7ed3\u6784\uff0c\u5b9a\u4e49\u4fe1\u606f\u7684\u6d41\u7a0b\u548c\u903b\u8f91\u6392\u5217\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6587\u672c\u751f\u6210<\/strong>\uff1a\u5728\u6b64\u9636\u6bb5\uff0cNLG \u7cfb\u7edf\u5c06\u7ed3\u6784\u5316\u6570\u636e\u8f6c\u6362\u4e3a\u4eba\u7c7b\u53ef\u8bfb\u7684\u6587\u672c\uff0c\u9075\u5faa\u8bed\u6cd5\u89c4\u5219\u3001\u53e5\u6cd5\u548c\u8bed\u8a00\u7ea6\u5b9a\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8bed\u8a00\u5b9e\u73b0<\/strong>\uff1a\u6700\u540e\u4e00\u6b65\u7684\u91cd\u70b9\u662f\u786e\u4fdd\u751f\u6210\u7684\u6587\u672c\u542c\u8d77\u6765\u81ea\u7136\u6d41\u7545\u3002\u5b83\u6d89\u53ca\u9009\u62e9\u9002\u5f53\u7684\u5355\u8bcd\u3001\u77ed\u8bed\u548c\u8868\u8fbe\u65b9\u5f0f\u6765\u5339\u914d\u6240\u9700\u7684\u98ce\u683c\u548c\u8bed\u6c14\u3002<\/p>\n<\/li>\n<\/ol>\n<p>NLG \u53ef\u4ee5\u4ee5\u591a\u79cd\u6a21\u5f0f\u8fd0\u884c\uff0c\u4ece\u57fa\u4e8e\u89c4\u5219\u7684\u7cfb\u7edf\u5230\u66f4\u590d\u6742\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002NLG \u6280\u672f\u7684\u9009\u62e9\u53d6\u51b3\u4e8e\u4efb\u52a1\u7684\u590d\u6742\u6027\u548c\u6240\u9700\u7684\u8f93\u51fa\u8d28\u91cf\u3002<\/p>\n<h2>\u81ea\u7136\u8bed\u8a00\u751f\u6210\uff08NLG\uff09\u7684\u5185\u90e8\u7ed3\u6784\u3002\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u7684\u5de5\u4f5c\u539f\u7406\u3002<\/h2>\n<p>NLG \u7cfb\u7edf\u7684\u5185\u90e8\u7ed3\u6784\u53ef\u4ee5\u5206\u89e3\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u7ec4\u4ef6\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u8f93\u5165\u6570\u636e<\/strong>\uff1a\u8fd9\u5305\u62ec\u7ed3\u6784\u5316\u6570\u636e\uff0c\u4f8b\u5982\u6570\u636e\u5e93\u3001\u7535\u5b50\u8868\u683c\u6216\u8bed\u4e49\u8868\u793a\uff0cNLG \u7cfb\u7edf\u4ece\u4e2d\u83b7\u53d6\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u77e5\u8bc6\u5e93<\/strong>\uff1aNLG \u7cfb\u7edf\u8bbf\u95ee\u5305\u542b\u8bed\u8a00\u8d44\u6e90\u3001\u7279\u5b9a\u9886\u57df\u672f\u8bed\u548c\u8bed\u6cd5\u89c4\u5219\u7684\u77e5\u8bc6\u5e93\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8bcd\u6c47\u548c\u53e5\u6cd5\u89c4\u5219<\/strong>\uff1a\u8fd9\u4e9b\u5143\u7d20\u901a\u8fc7\u4e3a NLG \u7cfb\u7edf\u63d0\u4f9b\u8bcd\u6c47\u548c\u8bed\u6cd5\u6307\u5357\u6765\u4fc3\u8fdb\u8bed\u8a00\u5b9e\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5185\u5bb9\u89c4\u5212\u5e08<\/strong>\uff1a\u5185\u5bb9\u89c4\u5212\u8005\u786e\u5b9a\u8981\u5305\u542b\u5728\u751f\u6210\u6587\u672c\u4e2d\u7684\u76f8\u5173\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6587\u672c\u89c4\u5212\u5668<\/strong>\uff1a\u6b64\u7ec4\u4ef6\u51b3\u5b9a\u5185\u5bb9\u7684\u7ec4\u7ec7\u548c\u8fde\u8d2f\u6027\uff0c\u4ee5\u521b\u5efa\u6709\u51dd\u805a\u529b\u7684\u53d9\u8ff0\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8868\u9762\u5b9e\u73b0\u5668<\/strong>\uff1a\u8868\u9762\u5b9e\u73b0\u5668\u5c06\u7ed3\u6784\u5316\u6570\u636e\u548c\u8ba1\u5212\u5185\u5bb9\u8f6c\u6362\u4e3a\u4eba\u7c7b\u53ef\u8bfb\u7684\u53e5\u5b50\uff0c\u540c\u65f6\u8003\u8651\u8bed\u6cd5\u3001\u53e5\u6cd5\u548c\u4e0a\u4e0b\u6587\u3002<\/p>\n<\/li>\n<\/ol>\n<p>NLG \u8fc7\u7a0b\u975e\u5e38\u590d\u6742\uff0c\u73b0\u4ee3 NLG \u7cfb\u7edf\u901a\u5e38\u91c7\u7528\u673a\u5668\u5b66\u4e60\u6280\u672f\u6765\u63d0\u9ad8\u5176\u6027\u80fd\u548c\u9002\u5e94\u6027\u3002<\/p>\n<h2>\u81ea\u7136\u8bed\u8a00\u751f\u6210\uff08NLG\uff09\u7684\u5173\u952e\u7279\u5f81\u5206\u6790\u3002<\/h2>\n<p>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u5177\u6709\u51e0\u4e2a\u5173\u952e\u7279\u6027\uff0c\u4f7f\u5176\u6210\u4e3a\u4e00\u9879\u5f3a\u5927\u4e14\u6709\u4ef7\u503c\u7684\u6280\u672f\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u81ea\u52a8\u5316<\/strong>\uff1aNLG \u81ea\u52a8\u5316\u751f\u6210\u6587\u672c\u5185\u5bb9\u7684\u8fc7\u7a0b\uff0c\u8282\u7701\u4e86\u751f\u6210\u5927\u91cf\u6587\u672c\u7684\u65f6\u95f4\u548c\u7cbe\u529b\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4e2a\u6027\u5316<\/strong>\uff1aNLG \u7cfb\u7edf\u53ef\u4ee5\u751f\u6210\u4e2a\u6027\u5316\u5185\u5bb9\uff0c\u4e3a\u4e2a\u4eba\u7528\u6237\u63d0\u4f9b\u5b9a\u5236\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53ef\u6269\u5c55\u6027<\/strong>\uff1aNLG \u53ef\u4ee5\u6709\u6548\u6269\u5927\u5185\u5bb9\u751f\u4ea7\u4ee5\u6ee1\u8db3\u9ad8\u9700\u6c42\uff0c\u540c\u65f6\u4e0d\u5f71\u54cd\u8d28\u91cf\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4e00\u81f4\u6027<\/strong>\uff1aNLG \u786e\u4fdd\u8de8\u5404\u79cd\u901a\u4fe1\u6e20\u9053\u7684\u8bed\u8a00\u4f7f\u7528\u548c\u6d88\u606f\u4f20\u9012\u7684\u4e00\u81f4\u6027\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u591a\u8bed\u8a00\u80fd\u529b<\/strong>\uff1a\u5148\u8fdb\u7684 NLG \u7cfb\u7edf\u53ef\u4ee5\u751f\u6210\u591a\u79cd\u8bed\u8a00\u7684\u6587\u672c\uff0c\u4fc3\u8fdb\u5168\u7403\u4ea4\u6d41\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u51cf\u5c11\u9519\u8bef<\/strong>\uff1a\u901a\u8fc7\u6d88\u9664\u624b\u52a8\u5185\u5bb9\u521b\u5efa\uff0cNLG \u51cf\u5c11\u4e86\u6587\u672c\u751f\u6210\u4e2d\u51fa\u73b0\u4eba\u4e3a\u9519\u8bef\u7684\u53ef\u80fd\u6027\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u7684\u7c7b\u578b<\/h2>\n<p>NLG \u5305\u542b\u591a\u79cd\u7c7b\u578b\uff0c\u6bcf\u79cd\u7c7b\u578b\u90fd\u9488\u5bf9\u7279\u5b9a\u5e94\u7528\u91cf\u8eab\u5b9a\u5236\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684 NLG \u7c7b\u578b\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u7c7b\u578b<\/th>\n<th>\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u57fa\u4e8e\u89c4\u5219\u7684 NLG<\/td>\n<td>\u4f7f\u7528\u9884\u5b9a\u4e49\u7684\u89c4\u5219\u548c\u6a21\u677f\u751f\u6210\u6587\u672c\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u57fa\u4e8e\u6a21\u677f\u7684 NLG<\/td>\n<td>\u7528\u53d8\u91cf\u4fe1\u606f\u586b\u5145\u9884\u5148\u8bbe\u8ba1\u7684\u6a21\u677f\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u7edf\u8ba1\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/td>\n<td>\u4f9d\u9760\u7edf\u8ba1\u6a21\u578b\u6765\u751f\u6210\u81ea\u7136\u8bed\u8a00\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u6df7\u5408\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG)<\/td>\n<td>\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u4ee5\u83b7\u5f97\u66f4\u5f3a\u5927\u7684 NLG\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u6df1\u5ea6\u5b66\u4e60 NLG<\/td>\n<td>\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u8bed\u8a00\u751f\u6210\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u81ea\u7136\u8bed\u8a00\u751f\u6210\uff08NLG\uff09\u7684\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u76f8\u5173\u7684\u95ee\u9898\u53ca\u5176\u89e3\u51b3\u65b9\u6848\u3002<\/h2>\n<h3>NLG\u7684\u5e94\u7528\uff1a<\/h3>\n<ul>\n<li>\n<p><strong>\u81ea\u52a8\u521b\u5efa\u5185\u5bb9<\/strong>\uff1aNLG \u53ef\u4ee5\u751f\u6210\u65b0\u95fb\u6587\u7ae0\u3001\u4ea7\u54c1\u63cf\u8ff0\u3001\u8d22\u52a1\u62a5\u544a\u7b49\uff0c\u51cf\u5c11\u4e86\u624b\u52a8\u7f16\u5199\u5185\u5bb9\u7684\u9700\u8981\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5546\u4e1a\u667a\u80fd<\/strong>\uff1aNLG \u53ef\u4ee5\u89e3\u91ca\u6570\u636e\u5206\u6790\u7ed3\u679c\u5e76\u4ee5\u81ea\u7136\u8bed\u8a00\u751f\u6210\u89c1\u89e3\u548c\u62a5\u544a\uff0c\u4f7f\u6570\u636e\u9a71\u52a8\u7684\u51b3\u7b56\u66f4\u5bb9\u6613\u5b9e\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u804a\u5929\u673a\u5668\u4eba\u548c\u865a\u62df\u52a9\u7406<\/strong>\uff1aNLG \u4f7f\u804a\u5929\u673a\u5668\u4eba\u548c\u865a\u62df\u52a9\u624b\u80fd\u591f\u4ee5\u7c7b\u4f3c\u4eba\u7c7b\u7684\u65b9\u5f0f\u4e0e\u7528\u6237\u4ea4\u6d41\uff0c\u4ece\u800c\u589e\u5f3a\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8bed\u8a00\u7ffb\u8bd1<\/strong>\uff1aNLG \u53ef\u4ee5\u5e2e\u52a9\u5c06\u6587\u672c\u4ece\u4e00\u79cd\u8bed\u8a00\u81ea\u52a8\u7ffb\u8bd1\u6210\u53e6\u4e00\u79cd\u8bed\u8a00\uff0c\u4fc3\u8fdb\u591a\u8bed\u8a00\u4ea4\u6d41\u3002<\/p>\n<\/li>\n<\/ul>\n<h3>\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6848\uff1a<\/h3>\n<ul>\n<li>\n<p><strong>\u60c5\u5883\u7406\u89e3<\/strong>\uff1a\u786e\u4fdd NLG \u7cfb\u7edf\u7406\u89e3\u4e0a\u4e0b\u6587\u5e76\u751f\u6210\u51c6\u786e\u4e14\u9002\u5408\u4e0a\u4e0b\u6587\u7684\u54cd\u5e94\u4ecd\u7136\u662f\u4e00\u4e2a\u6311\u6218\u3002\u89e3\u51b3\u65b9\u6848\u6d89\u53ca\u4f7f\u7528\u9ad8\u7ea7 NLP \u6a21\u578b\u548c\u4e0a\u4e0b\u6587\u5d4c\u5165\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8bed\u6c14\u548c\u98ce\u683c<\/strong>\uff1a\u5bf9\u4e8e NLG \u7cfb\u7edf\u6765\u8bf4\uff0c\u83b7\u5f97\u6b63\u786e\u7684\u8bed\u6c14\u548c\u5199\u4f5c\u98ce\u683c\u53ef\u80fd\u5f88\u56f0\u96be\u3002\u4f7f\u7528\u7279\u5b9a\u98ce\u683c\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\u53ef\u4ee5\u5e2e\u52a9\u89e3\u51b3\u6b64\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u8d28\u91cf<\/strong>\uff1a\u8d28\u91cf\u5dee\u7684\u8f93\u5165\u6570\u636e\u53ef\u80fd\u4f1a\u5bfc\u81f4\u9519\u8bef\u7684\u8f93\u51fa\u3002\u901a\u8fc7\u6570\u636e\u9884\u5904\u7406\u548c\u6e05\u7406\u6765\u4fdd\u6301\u6570\u636e\u8d28\u91cf\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u9053\u5fb7\u95ee\u9898<\/strong>\uff1aNLG \u7cfb\u7edf\u5fc5\u987b\u6309\u7167\u9053\u5fb7\u51c6\u5219\u8fdb\u884c\u7f16\u7a0b\uff0c\u4ee5\u9632\u6b62\u751f\u6210\u9519\u8bef\u4fe1\u606f\u6216\u6709\u504f\u89c1\u7684\u5185\u5bb9\u3002<\/p>\n<\/li>\n<\/ul>\n<h2>\u4ee5\u8868\u683c\u548c\u5217\u8868\u7684\u5f62\u5f0f\u5217\u51fa\u4e3b\u8981\u7279\u5f81\u4ee5\u53ca\u4e0e\u7c7b\u4f3c\u672f\u8bed\u7684\u5176\u4ed6\u6bd4\u8f83\u3002<\/h2>\n<h3>\u5c06 NLG \u4e0e NLP \u548c NLU \u8fdb\u884c\u6bd4\u8f83\uff1a<\/h3>\n<table>\n<thead>\n<tr>\n<th>\u65b9\u9762<\/th>\n<th>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG)<\/th>\n<th>\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09<\/th>\n<th>\u81ea\u7136\u8bed\u8a00\u7406\u89e3\uff08NLU\uff09<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u76ee\u6807<\/td>\n<td>\u751f\u6210\u7c7b\u4f3c\u4eba\u7c7b\u7684\u6587\u672c<\/td>\n<td>\u5904\u7406\u548c\u5206\u6790\u4eba\u7c7b\u8bed\u8a00<\/td>\n<td>\u7406\u89e3\u548c\u89e3\u91ca\u8bed\u8a00<\/td>\n<\/tr>\n<tr>\n<td>\u8f93\u51fa<\/td>\n<td>\u6587\u5b57\u53d9\u8ff0<\/td>\n<td>\u89c1\u89e3\u3001\u603b\u7ed3\u6216\u5206\u6790<\/td>\n<td>\u63d0\u53d6\u542b\u4e49\u6216\u610f\u56fe<\/td>\n<\/tr>\n<tr>\n<td>\u5e94\u7528\u9886\u57df<\/td>\n<td>\u5185\u5bb9\u751f\u6210\u3001\u804a\u5929\u673a\u5668\u4eba<\/td>\n<td>\u60c5\u611f\u5206\u6790\u3001\u7ffb\u8bd1<\/td>\n<td>\u610f\u56fe\u8bc6\u522b\u3001\u804a\u5929\u673a\u5668\u4eba<\/td>\n<\/tr>\n<tr>\n<td>\u6280\u672f\u805a\u7126<\/td>\n<td>\u6587\u672c\u751f\u6210\u7b97\u6cd5<\/td>\n<td>NLP \u7ba1\u9053\u548c\u6a21\u578b<\/td>\n<td>\u610f\u56fe\u8bc6\u522b\u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u4e0e\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u76f8\u5173\u7684\u672a\u6765\u89c2\u70b9\u548c\u6280\u672f\u3002<\/h2>\n<p>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u7684\u672a\u6765\u5145\u6ee1\u5e0c\u671b\uff0c\u9884\u8ba1\u5c06\u51fa\u73b0\u4ee5\u4e0b\u51e0\u4e2a\u5173\u952e\u53d1\u5c55\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u9ad8\u7ea7 NLP \u6a21\u578b<\/strong>\uff1aNLG \u7cfb\u7edf\u5c06\u96c6\u6210\u66f4\u5148\u8fdb\u7684 NLP \u6a21\u578b\uff0c\u4f8b\u5982\u57fa\u4e8e Transformer \u7684\u6a21\u578b\uff0c\u4ee5\u589e\u5f3a\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8bed\u5883\u9002\u5e94<\/strong>\uff1aNLG \u7cfb\u7edf\u5c06\u66f4\u597d\u5730\u7406\u89e3\u4e0a\u4e0b\u6587\u5e76\u751f\u6210\u4e0a\u4e0b\u6587\u611f\u77e5\u54cd\u5e94\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u591a\u5f0f\u8054\u8fd0 NLG<\/strong>\uff1aNLG \u5c06\u6587\u672c\u4e0e\u56fe\u50cf\u548c\u89c6\u9891\u7b49\u5176\u4ed6\u5f62\u5f0f\u7684\u5a92\u4f53\u76f8\u7ed3\u5408\uff0c\u4ee5\u521b\u5efa\u66f4\u5177\u6c89\u6d78\u611f\u548c\u8868\u73b0\u529b\u7684\u5185\u5bb9\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b9e\u65f6NLG<\/strong>\uff1a\u5b9e\u65f6 NLG \u7cfb\u7edf\u5c06\u5b9e\u73b0\u5373\u65f6\u5185\u5bb9\u521b\u5efa\uff0c\u589e\u5f3a\u73b0\u573a\u4e8b\u4ef6\u62a5\u544a\u548c\u5ba2\u6237\u4e92\u52a8\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u9053\u5fb7NLG<\/strong>\uff1a\u9053\u5fb7\u8003\u8651\u5c06\u5728\u5f00\u53d1\u4ea7\u751f\u516c\u6b63\u4e14\u53ef\u9760\u5185\u5bb9\u7684 NLG \u7cfb\u7edf\u4e2d\u53d1\u6325\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u5982\u4f55\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u6216\u5c06\u5176\u4e0e\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u5173\u8054\u3002<\/h2>\n<p>\u4ee3\u7406\u670d\u52a1\u5668\u5728\u652f\u6301\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u5e94\u7528\u7a0b\u5e8f\u65b9\u9762\u53ef\u4ee5\u53d1\u6325\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u7279\u522b\u662f\u90a3\u4e9b\u9700\u8981\u5927\u91cf\u6570\u636e\u5904\u7406\u548c\u4e0e\u5916\u90e8\u670d\u52a1\u901a\u4fe1\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u6216\u4e0e NLG \u5173\u8054\u7684\u4e00\u4e9b\u65b9\u6cd5\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u6570\u636e\u91c7\u96c6<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5904\u7406\u7f51\u9875\u6293\u53d6\u4efb\u52a1\uff0c\u4ece\u4e0d\u540c\u6765\u6e90\u6536\u96c6 NLG \u5185\u5bb9\u521b\u5efa\u6240\u9700\u7684\u76f8\u5173\u6570\u636e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b89\u5168\u548c\u9690\u79c1<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u589e\u52a0\u989d\u5916\u7684\u5b89\u5168\u6027\u548c\u533f\u540d\u6027\uff0c\u4fdd\u62a4 NLG \u7cfb\u7edf\u514d\u53d7\u6f5c\u5728\u7684\u7f51\u7edc\u5a01\u80c1\u5e76\u4fdd\u62a4\u7528\u6237\u6570\u636e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8d1f\u8f7d\u5747\u8861<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5c06 NLG \u8bf7\u6c42\u5206\u53d1\u5230\u591a\u4e2a\u670d\u52a1\u5668\uff0c\u786e\u4fdd\u5728\u9ad8\u5cf0\u4f7f\u7528\u671f\u95f4\u9ad8\u6548\u5229\u7528\u8d44\u6e90\u5e76\u5b9e\u73b0\u6d41\u7545\u7684\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u77e5\u8bc6\u4ea7\u6743\u8f6e\u6362<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u4fc3\u8fdb IP \u8f6e\u6362\uff0c\u9632\u6b62\u57fa\u4e8e IP \u7684\u9650\u5236\u5e76\u786e\u4fdd NLG \u4efb\u52a1\u7684\u6570\u636e\u6301\u7eed\u6d41\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5730\u7406\u4f4d\u7f6e\u5b9a\u4f4d<\/strong>\uff1a\u5177\u6709\u4e0d\u540c\u5730\u7406\u4f4d\u7f6e\u7684\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5e2e\u52a9\u6d4b\u8bd5\u548c\u5b9a\u5236\u7279\u5b9a\u533a\u57df\u548c\u8bed\u8a00\u7684 NLG \u8f93\u51fa\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u603b\u4e4b\uff0c\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG) \u662f\u4e00\u9879\u7a81\u7834\u6027\u6280\u672f\uff0c\u5f7b\u5e95\u6539\u53d8\u4e86\u5404\u4e2a\u884c\u4e1a\u7684\u5185\u5bb9\u521b\u5efa\u3001\u6570\u636e\u89e3\u91ca\u548c\u901a\u4fe1\u3002\u968f\u7740\u4eba\u5de5\u667a\u80fd\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u4e0d\u65ad\u8fdb\u6b65\uff0cNLG \u6709\u671b\u91cd\u5851\u6211\u4eec\u4e0e\u4fe1\u606f\u4ea4\u4e92\u7684\u65b9\u5f0f\uff0c\u4e3a\u66f4\u9ad8\u6548\u3001\u66f4\u5177\u5438\u5f15\u529b\u7684\u672a\u6765\u901a\u4fe1\u94fa\u5e73\u9053\u8def\u3002<\/p>\n<h2>\u76f8\u5173\u94fe\u63a5<\/h2>\n<ul>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Natural_language_generation\" target=\"_new\" rel=\"noopener nofollow\">NLG\uff1a\u7ef4\u57fa\u767e\u79d1<\/a><\/li>\n<li><a href=\"https:\/\/www.ibm.com\/cloud\/learn\/natural-language-generation\" target=\"_new\" rel=\"noopener nofollow\">NLG \u521d\u5b66\u8005\u6307\u5357<\/a> \uff08IBM Cloud \u5b66\u4e60\uff09<\/li>\n<li><a href=\"https:\/\/www.springboard.com\/library\/artificial-intelligence\/natural-language-generation\/\" target=\"_new\" rel=\"noopener nofollow\">\u4eba\u5de5\u667a\u80fd\u4e2d\u7684\u81ea\u7136\u8bed\u8a00\u751f\u6210<\/a> \uff08Springboard AI \u5e93\uff09<\/li>\n<\/ul>","protected":false},"featured_media":468985,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478103","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Natural Language Generation (NLG) - Empowering Communication with Automated Text Generation<\/mark>","faq_items":[{"question":"What is Natural Language Generation (NLG)?","answer":"<p>Natural Language Generation (NLG) is an innovative AI technology that automates the process of generating human-like text from structured data. It transforms data into coherent and contextually relevant narratives, making it a powerful tool for content creation and communication.<\/p>"},{"question":"How did Natural Language Generation (NLG) originate?","answer":"<p>The roots of NLG can be traced back to the 1960s when researchers first experimented with computational models for language generation. The first mention of NLG is attributed to Daniel Bobrow in 1964, who developed the \"STUDENT\" program capable of solving algebra word problems by converting them into natural language explanations.<\/p>"},{"question":"How does Natural Language Generation (NLG) work?","answer":"<p>NLG systems comprise several components, including content planning, document structuring, text generation, and language realization. It uses structured data, a knowledge base, lexicon, and syntax rules to convert data into coherent human-readable text.<\/p>"},{"question":"What are the key features of Natural Language Generation (NLG)?","answer":"<p>NLG offers automation, personalization, scalability, consistency, multilingual capabilities, and error reduction. It efficiently generates vast amounts of content while maintaining quality and adhering to user preferences.<\/p>"},{"question":"What types of Natural Language Generation (NLG) exist?","answer":"<p>NLG comes in various types, including rule-based, template-based, statistical, hybrid, and deep learning NLG. Each type serves different purposes and is suitable for various applications.<\/p>"},{"question":"How can Natural Language Generation (NLG) be used?","answer":"<p>NLG finds applications in automated content creation, business intelligence, chatbots, virtual assistants, and language translation, streamlining various processes and enhancing user experience.<\/p>"},{"question":"What are some common challenges and solutions related to NLG usage?","answer":"<p>NLG faces challenges related to contextual understanding, tone and style, data quality, and ethical concerns. These challenges can be addressed through advanced NLP models, fine-tuning, data preprocessing, and ethical guidelines.<\/p>"},{"question":"How does Natural Language Generation (NLG) compare with NLP and NLU?","answer":"<p>NLG focuses on generating human-like text, while Natural Language Processing (NLP) analyzes language, and Natural Language Understanding (NLU) comprehends and interprets language. Each has unique applications and technology focuses.<\/p>"},{"question":"What are the future perspectives of Natural Language Generation (NLG)?","answer":"<p>The future of NLG is promising, with advancements expected in NLP models, contextual adaptation, multimodal NLG, real-time capabilities, and ethical considerations.<\/p>"},{"question":"How are proxy servers associated with Natural Language Generation (NLG)?","answer":"<p>Proxy servers support NLG applications by handling data collection, ensuring security and privacy, load balancing, IP rotations, and facilitating geolocation targeting. They play a crucial role in enhancing NLG performance and efficiency.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/478103","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/478103\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/468985"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=478103"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}