{"id":352654,"date":"2021-07-21T14:48:10","date_gmt":"2021-07-21T21:48:10","guid":{"rendered":"https:\/\/blog.webex.com\/uncategorized\/mindmeld-%e5%af%a6%e9%ab%94%e8%a7%a3%e6%9e%90%e7%9a%84%e6%9c%80%e6%96%b0%e6%b6%88%e6%81%af\/"},"modified":"2021-07-21T14:48:10","modified_gmt":"2021-07-21T21:48:10","slug":"mindmeld-%e5%af%a6%e9%ab%94%e8%a7%a3%e6%9e%90%e7%9a%84%e6%9c%80%e6%96%b0%e6%b6%88%e6%81%af","status":"publish","type":"post","link":"https:\/\/blog.webex.com\/zh-hant\/engineering-zh-hant\/mindmeld-%e5%af%a6%e9%ab%94%e8%a7%a3%e6%9e%90%e7%9a%84%e6%9c%80%e6%96%b0%e6%b6%88%e6%81%af\/","title":{"rendered":"MindMeld \u5be6\u9ad4\u89e3\u6790\u7684\u6700\u65b0\u6d88\u606f"},"content":{"rendered":"<h2><strong>\u4ecb\u7d39<\/strong><\/h2>\n<p>\u5be6\u9ad4\u89e3\u6790 (ER) \u662f\u6d88\u9664\u5be6\u9ad4\u6b67\u7570\u7684\u904e\u7a0b\u3002 \u5be6\u73fe\u65b9\u6cd5\u70ba\uff1a\u5c07\u6587\u5b57\u63d0\u53ca\u5c0d\u61c9\u81f3\u67e5\u8a62\u77e5\u8b58\u5eab (KB) \u4e2d\uff0c\u6240\u80fd\u627e\u5230\u6700\u5408\u9069\u7684\u73fe\u5be6\u540d\u7a31\u3002 \u4f8b\u5982\uff0c\u5c07\u300c<em>madrid fc<\/em>\u300d\u89e3\u6790\u70ba\u300c<em>Real Madrid Club de F\u00fatbol<\/em>\u300d(\u7687\u5bb6\u99ac\u5fb7\u91cc\u8db3\u7403\u4ff1\u6a02\u90e8)\uff0c\u524d\u8005\u70ba\u5f8c\u8005\u7684\u53e6\u4e00\u7a2e\u5beb\u6cd5\u3002 \u5be6\u9ad4\u89e3\u6790\u5e38\u4ee5\u5176\u4ed6\u540d\u7a31\u7a31\u547c\uff0c\u4f8b\u5982\uff0c\u5be6\u9ad4\u914d\u5c0d\u3001\u5be6\u9ad4\u9023\u7d50\u3001\u8a18\u9304\u9023\u7d50\uff0c\u6216\u8005\u8a18\u9304\u91cd\u8907\u8cc7\u6599\u522a\u9664\u3002 \u5be6\u9ad4\u89e3\u6790\u662f MindMeld <a href=\"https:\/\/www.mindmeld.com\/docs\/userguide\/architecture.html\">\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u7ba1\u9053<\/a>\u7684\u4e00\u90e8\u5206\uff0c\u8207\u9810\u5148\u586b\u5165\u7684\u77e5\u8b58\u5eab\u914d\u5c0d\uff0c\u7528\u4f86\u6d88\u9664\u4efb\u4f55\u4f7f\u7528\u8005\u8f38\u5165\u4e2d\u6240\u8fa8\u8b58\u5be6\u9ad4\u7684\u5dee\u7570\u3002 \u8acb\u67e5\u770b<a href=\"https:\/\/www.mindmeld.com\/docs\/userguide\/entity_resolver.html\">\u5b98\u65b9\u6587\u4ef6<\/a>\u77ad\u89e3\u5982\u4f55\u70ba\u5be6\u9ad4\u89e3\u6790\u7a0b\u5f0f\u5efa\u7acb\u77e5\u8b58\u5eab\uff0c\u4e26\u5728\u5efa\u7f6e MindMeld \u61c9\u7528\u7a0b\u5f0f\u6642\u4f7f\u7528\u8a72\u77e5\u8b58\u5eab\u3002\u76f4\u5230\u6700\u8fd1\uff0cMindMeld \u63d0\u4f9b\u5169\u7a2e\u5be6\u9ad4\u89e3\u6790\u9078\u9805\uff1a\u5176\u4e2d\u4e00\u7a2e\u4ee5 <a href=\"https:\/\/www.elastic.co\/products\/elasticsearch\">Elasticsearch<\/a> \u7684\u5168\u6587\u6aa2\u7d22\u641c\u5c0b\u548c\u5206\u6790\u5f15\u64ce\u70ba\u57fa\u790e\uff1b\u53e6\u4e00\u7a2e\u5247\u4ee5\u7c21\u55ae\u7cbe\u78ba\u914d\u5c0d\u6f14\u7b97\u6cd5\u70ba\u57fa\u790e\uff0c\u4f5c\u70ba\u5099\u7528\u9078\u9805\u3002 \u96a8\u8457 MindMeld \u61c9\u7528\u65b9\u5f0f\u8d8a\u4f86\u8d8a\u591a\u6a23\uff0c\u4e0a\u8ff0\u5169\u7a2e\u9078\u9805\u4e26\u975e\u6c38\u9060\u9069\u7528\u3002 \u70ba\u4e86\u63d0\u4f9b\u5ef6\u4f38\u652f\u63f4\uff0cMindMeld \u73fe\u5728\u63d0\u4f9b\u53e6\u5916\u5169\u7a2e\u5be6\u9ad4\u89e3\u6790\u9078\u9805\uff1a\u5176\u4e2d\u4e00\u7a2e\u4ee5 <a href=\"https:\/\/en.wikipedia.org\/wiki\/Tf%E2%80%93idf\">TF-IDF<\/a> \u70ba\u57fa\u790e\uff0c\u53e6\u4e00\u7a2e\u5247\u4ee5\u9810\u5148\u8a13\u7df4\u7684\u795e\u7d93\u6a21\u578b\u5448\u73fe\u70ba\u57fa\u790e (<a href=\"https:\/\/github.com\/UKPLab\/sentence-transformers\">BERT<\/a>\u3001<a href=\"https:\/\/nlp.stanford.edu\/projects\/glove\/\">GloVe<\/a>\u3001<a href=\"https:\/\/fasttext.cc\/\">fastText<\/a> \u7b49\u7b49)\u3002 \u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u9019\u5169\u500b\u65b0\u9078\u9805\u5b8c\u5168\u4e0d\u9700\u4f9d\u8cf4 Elasticsearch \u53ca\u5176\u670d\u52d9\u3002 \u9032\u4e00\u6b65\u6df1\u5165\u77ad\u89e3\u9019\u4e9b\u65b0\u9078\u9805\u524d\uff0c\u5148\u5feb\u901f\u56de\u9867\u4e00\u4e0b\u5be6\u9ad4\u77e5\u8b58\u5eab\u5728 MindMeld \u4e2d\u7684\u5efa\u69cb\u65b9\u5f0f\u3002 \u4ee5\u4e0b\u4f7f\u7528<a href=\"https:\/\/www.mindmeld.com\/docs\/blueprints\/food_ordering.html\">\u9ede\u9910\u85cd\u5716<\/a>\u70ba\u4f8b\uff0c\u5305\u542b\u70ba\u6d88\u9664\u98df\u54c1\u9805\u76ee\u540d\u7a31\u6b67\u7570\u5efa\u7acb\u7684\u77e5\u8b58\u5eab\uff1a<div id=\"attachment_18909\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Food-Ordering-blueprint.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-18909\" class=\"wp-image-18909 size-full\" src=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Food-Ordering-blueprint.png\" alt=\"\u9ede\u9910\u85cd\u5716\" width=\"492\" height=\"720\" srcset=\"https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Food-Ordering-blueprint.png 355w, https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Food-Ordering-blueprint-205x300.png 205w\" sizes=\"auto, (max-width: 492px) 100vw, 492px\" \/><\/a><p id=\"caption-attachment-18909\" class=\"wp-caption-text\">\u5be6\u9ad4\u89e3\u6790\u77e5\u8b58\u5eab\u7684\u5feb\u7167<\/p><\/div> \u5982\u5716\u6240\u793a\uff0c\u300ccname\u300d\u6b04\u4f4d (\u6b63\u5f0f\u540d\u7a31) \u548c\u300cwhitelist\u300d\u6b04\u4f4d\uff0c\u5217\u793a\u6bcf\u500b\u98df\u7269\u9805\u76ee\u7684\u67d0\u4e9b\u5e38\u7528\u7528\u6cd5\uff0c\u300cid\u300d\u6b04\u4f4d\u5247\u6307\u5411\u77e5\u8b58\u5eab\u4e2d\u552f\u4e00\u6b63\u5f0f\u8a8d\u53ef\u7684\u8a18\u9304\u3002 \u9019\u4e09\u500b\u6b04\u4f4d\u4e3b\u8981\u69cb\u6210\u4e86\u77e5\u8b58\u5eab\u4e2d\u7684\u5be6\u9ad4\u7269\u4ef6\u3002 \u300ccname\u300d\u6b04\u4f4d\u4e2d\u7684\u6587\u5b57\u901a\u5e38\u7528\u65bc\u5c0d\u8a71\u61c9\u7b54\uff0c\u300cwhitelist\u300d\u6b04\u4f4d\u4ee5\u53ca\u6b63\u5f0f\u540d\u7a31\u540c\u6642\u5728\u6d88\u9664\u6b67\u7570\u6642\u4f5c\u70ba\u5225\u540d\u4f7f\u7528\u3002 \u901a\u5e38\u5728\u300cwhitelist\u300d\u6b04\u4f4d\u5b8c\u6574\u586b\u5165\u6642 (\u5305\u542b\u66ff\u4ee3\u7528\u6cd5\u3001\u62fc\u5beb\u932f\u8aa4\u548c\u7c21\u7a31\u7b49\u7b49)\uff0c\u80fd\u7372\u5f97\u6700\u4f73\u5be6\u9ad4\u89e3\u6790\u7a0b\u5f0f\u7d50\u679c\u3002 \u67d0\u4e9b\u61c9\u7528\u4e2d\uff0c\u9019\u985e\u578b\u7684\u7b56\u5283\u904e\u7a0b\u53ef\u80fd\u6975\u5176\u4e4f\u5473\uff0c\u4f46\u5728\u8655\u7406\u9ad8\u5ea6\u5c08\u696d\u9818\u57df\u7684\u5be6\u9ad4\u6642\uff0c\u5c07\u7121\u6cd5\u907f\u514d\u6b64\u985e\u7b56\u5283\u3002<\/p>\n<h2><strong>\u6df1\u5165\u77ad\u89e3\u65b0\u589e\u7684\u89e3\u6790\u7a0b\u5f0f<\/strong><\/h2>\n<p>\u9664\u4e86\u7cbe\u6e96\u914d\u5c0d\u4ee5\u5916\u7684\u89e3\u6790\u7a0b\u5f0f\uff0c\u6b65\u9a5f\u4e00\u70ba\u53d6\u5f97\u6b32\u6d88\u9664\u6b67\u7570\u8f38\u5165\u6587\u5b57\u7684\u5411\u91cf\u8868\u793a\uff0c\u4ee5\u53ca\u77e5\u8b58\u5eab (cname \u52a0\u4e0a whitelist) \u4e2d\uff0c\u4f5c\u70ba\u6d88\u9664\u6b67\u7570\u5225\u540d\u4f7f\u7528\u6240\u6709\u9805\u76ee\u7684\u5411\u91cf\u8868\u793a\u3002 \u63a5\u8457\u5229\u7528\u67d0\u4e9b\u985e\u578b\u7684\u5411\u91cf\u76f8\u4f3c\u6027\u914d\u5c0d (\u4f8b\u5982\uff0c\u9918\u5f26\u76f8\u4f3c\u6027)\uff0c\u70ba\u6bcf\u500b\u5225\u540d\u8a55\u5206\u548c\u6392\u540d\u3002 \u5728\u65b0\u589e\u7684\u5be6\u9ad4\u89e3\u6790\u9078\u9805\u4e2d\uff0c\u4ee5 TF-IDF \u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\u5728\u8a08\u7b97\u7a00\u758f\u5411\u91cf\u7684\u9918\u5f26\u76f8\u4f3c\u6027\u524d\uff0c\u7b56\u5283\u4e86\u5404\u7a2e n \u5143\u8a9e\u6cd5\u7279\u5fb5 (\u4ea6\u5373\u8868\u5c64\u6587\u5b57\u7279\u5fb5)\u3002 \u53e6\u4e00\u65b9\u9762\uff0c\u9810\u5148\u8a13\u7df4\u4ee5\u5d4c\u5165\u5668\u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\uff0c\u4f7f\u7528\u9918\u5f26\u76f8\u4f3c\u6027\u5c0d\u6587\u5b57\u7684\u5bc6\u96c6\u5411\u91cf\u8868\u793a\u9032\u884c\u914d\u5c0d\u3002 \u8207\u5176\u4ed6\u65b9\u6cd5\u76f8\u6bd4\uff0c\u5229\u7528\u9810\u5148\u8a13\u7df4\u7684\u5d4c\u5165\u5668\u9032\u884c\u5be6\u9ad4\u89e3\u6790\uff0c\u64c1\u6709\u67d0\u4e9b\u512a\u52e2\u3002 \u4f8b\u5982\uff0c\u8a72\u65b9\u6cd5\u4e0d\u9700\u5927\u91cf\u586b\u5beb whitelist \u5c31\u80fd\u63d0\u4f9b\u6587\u5b57\u7684\u8a9e\u610f\u7406\u89e3 (\u4f8b\u5982\uff0c\u300c\u8868\u73fe\u4f4e\u65bc\u9810\u671f\u300d\u76f8\u7576\u65bc\u300c\u8868\u73fe\u4e0d\u4f73\u300d)\uff0c\u4e26\u4e14\u80fd\u5920\u8f15\u9b06\u8f49\u63db\u5230\u591a\u8a9e\u8a00\u9805\u76ee\u914d\u5c0d (\u4f8b\u5982\uff0c\u63a8\u65b7\u897f\u73ed\u7259\u6587\u4e2d\u7684\u300ctercio\u300d\u548c\u82f1\u6587\u4e2d\u7684\u300cthird\u300d\u76f8\u540c)\u3002 \u7136\u800c\uff0c\u4e8b\u5148\u8a13\u7df4\u548c\u63a8\u65b7\u4e4b\u9593\u7684\u5dee\u7570\uff0c\u4f8b\u5982\u8f38\u5165\u6587\u5b57\u9577\u5ea6\u5dee\u7570\uff0c\u662f\u4e8b\u5148\u8a13\u7df4\u5d4c\u5165\u5668\u7684\u7f3a\u9ede\u3002 \u6b64\u5916\uff0c\u7531\u65bc\u57fa\u790e\u7684\u5bc6\u96c6\u5411\u91cf\u8a08\u7b97\uff0c\u5d4c\u5165\u5668\u6a21\u578b\u7684\u63a8\u65b7\u6642\u9593\u53ef\u80fd\u9ad8\u65bc\u5176\u4ed6\u89e3\u6790\u7a0b\u5f0f\u9078\u9805\u3002 \u4f46\u662f\u7d93\u904e\u9069\u7576\u5fae\u8abf\u5f8c\uff0c\u5d4c\u5165\u5668\u6a21\u578b\u7684\u8868\u73fe\u5c07\u512a\u65bc\u5176\u4ed6\u4ee5\u8868\u5c64\u6587\u5b57\u7279\u5fb5\u70ba\u4e3b\u8981\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\u9078\u9805\u3002 \u4ee5\u4e0b\u5206\u6790\u4e2d\uff0c\u9810\u5148\u8a13\u7df4\u7684\u5d4c\u5165\u5668\u6a21\u578b\uff0c\u5c07\u8207 Elasticsearch \u548c TF-IDF \u5be6\u9ad4\u89e3\u6790\u7a0b\u5f0f\u9032\u884c\u6bd4\u8f03\u3002 \u7b56\u5283\u7528\u65bc\u6bd4\u8f03\u7684\u8cc7\u6599\u96c6\u5305\u542b\u8868\u5c64\u6587\u5b57\u914d\u5c0d\u548c\u8a9e\u610f\u914d\u5c0d\u3002<\/p>\n<h2><strong>\u4e0d\u540c\u89e3\u6790\u7a0b\u5f0f\u7684\u6548\u80fd<\/strong><\/h2>\n<p>\u7d93\u904e\u4f7f\u7528\u5404\u7a2e\u5167\u90e8\u7b56\u5283\u8cc7\u6599\u96c6\u7684\u5be6\u9a57\u5f8c\uff0c\u5f97\u51fa\u4e86\u4ee5\u4e0b\u4e0d\u540c\u5be6\u9ad4\u89e3\u6790\u7a0b\u5f0f\u91dd\u5c0d\u7c21\u77ed\u6587\u5b57\u5be6\u9ad4\u914d\u5c0d\u7684\u5e73\u5747\u6548\u80fd\u3002 \u6b64\u8655\u4ee5\u6700\u4f73\u64f7\u53d6\u5206\u6578\u4f5c\u70ba\u6e2c\u91cf\u7684\u6b63\u78ba\u5ea6\uff1a<div id=\"attachment_18920\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Performances-of-different-resolvers.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-18920\" class=\"wp-image-18920 size-full\" src=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Performances-of-different-resolvers.png\" alt=\"\u4e0d\u540c\u89e3\u6790\u7a0b\u5f0f\u7684\u6548\u80fd\" width=\"720\" height=\"288\" srcset=\"https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Performances-of-different-resolvers.png 720w, https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Performances-of-different-resolvers-300x120.png 300w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/a><p id=\"caption-attachment-18920\" class=\"wp-caption-text\">\u4e0d\u540c\u5be6\u9ad4\u89e3\u6790\u7a0b\u5f0f\u7684\u6548\u80fd<\/p><\/div> \u9810\u5148\u8a13\u7df4\u7684 BERT \u8b8a\u9ad4\u53ef\u4f5c\u70ba <a href=\"https:\/\/huggingface.co\/sentence-transformers\">Huggingface \u53e5\u5b50\u8f49\u63db\u5668<\/a>\u7684\u4e00\u90e8\u5206\uff0c\u5716\u8868\u53ea\u5448\u73fe\u4e86\u6548\u80fd\u524d 5 \u540d\u7684\u8b8a\u9ad4\u3002 fastText \u9019\u985e\u9810\u5148\u8a13\u7df4\u7684\u55ae\u5b57\u5d4c\u5165\u6a21\u578b\uff0c\u4e00\u822c\u800c\u8a00\u8868\u73fe\u52a3\u65bc BERT \u5d4c\u5165\u5668\u6a21\u578b\u6216\u4ee5 TF-IDF \u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\u3002 \u6b64\u985e\u4f4e\u6548\u80fd\u53ef\u6b78\u56e0\u65bc\u7db2\u57df\u8f49\u79fb\u6216\u7f3a\u4e4f\u5fae\u8abf\u3002 \u4f7f\u7528\u6548\u80fd\u6700\u4f73\u7684 BERT \u8b8a\u9ad4 (<em>distilbert-base-nli-stsb-mean-tokens<\/em>)\uff0c\u4e26\u4f7f\u7528\u4e0d\u540c\u8a2d\u5b9a\u9032\u4e00\u6b65\u5206\u6790\uff0c\u5f97\u5230\u4ee5\u4e0b\u7d50\u679c\uff1a<div id=\"attachment_18930\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Accuracy-and-BERT-variant.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-18930\" class=\"wp-image-18930 size-full\" src=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Accuracy-and-BERT-variant.png\" alt=\"\u6b63\u78ba\u5ea6\u548c BERT \u8b8a\u9ad4\" width=\"720\" height=\"336\" srcset=\"https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Accuracy-and-BERT-variant.png 720w, https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Accuracy-and-BERT-variant-300x140.png 300w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/a><p id=\"caption-attachment-18930\" class=\"wp-caption-text\">\u6548\u80fd\u6700\u4f73\u7684 BERT \u8b8a\u9ad4\u5728\u4e0d\u540c\u8a2d\u5b9a\u4e0b\u7684\u6548\u80fd<\/p><\/div> \u00a0 \u7d50\u679c\u986f\u793a <a href=\"https:\/\/github.com\/Tiiiger\/bert_score\">BERTScore<\/a> \u7b49\u5176\u4ed6\u76f8\u4f3c\u8a55\u5206\uff0c\u4e26\u4e0d\u5177\u6709\u7af6\u722d\u529b\u3002 \u6b64\u5916\uff0c\u5728\u4e32\u9023\u4e0d\u540c\u5c64 BERT \u6a21\u578b\u6642\u4f7f\u7528\u9918\u5f26\u76f8\u4f3c\u6027\uff0c\u53ef\u8b93\u6548\u80fd\u63d0\u9ad8\u5230\u8207 Elasticsearch \u76f8\u7576\u3002 \u6b64\u7d50\u679c\u5341\u5206\u76f4\u89ba\u5316\uff0c\u56e0\u70ba\u4e0d\u540c\u5c64\u7684 BERT \u53ef\u4ee5\u64f7\u53d6\u4e92\u88dc\u8cc7\u8a0a\u3002 \u5373\u4f7f<a href=\"https:\/\/pytorch.org\/tutorials\/intermediate\/dynamic_quantization_bert_tutorial.html\">\u91cf\u5316<\/a> BERT \u8b8a\u9ad4\uff0c\u5728\u6e1b\u5c11\u78c1\u789f\u4f7f\u7528\u91cf\u548c\u6642\u9593\u8907\u96dc\u5ea6\u5f8c\uff0c\u6548\u80fd\u4e5f\u50c5\u964d\u4f4e 2-3%\u3002 \u6b64\u5916\uff0c\u8a55\u4f30\u8f38\u5165\u4e2d\u542b\u6709\u62fc\u5beb\u932f\u8aa4\u7684\u96a8\u6a5f\u96dc\u8a0a\u8cc7\u6599\u6642\uff0c\u4ee5 TF-IDF \u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\u4e4b\u6548\u80fd\u512a\u65bc\u5176\u4ed6\u89e3\u6790\u7a0b\u5f0f\u3002 \u6b64\u7d50\u679c\u53ef\u80fd\u5c0e\u56e0\u65bc\uff0c\u6b64\u89e3\u6790\u7a0b\u5f0f\u64f7\u53d6\u4e86\u4e0d\u540c\u7d44\u7684 n \u5143\u8a9e\u6cd5\u3002 (\u6b64\u5be6\u9a57\u4e2d\uff0cwhitelist \u6587\u5b57\u4f5c\u70ba\u6e2c\u8a66\u57f7\u884c\u500b\u9ad4\u91cd\u8907\u4f7f\u7528\uff0c\u4e26\u4e14\u5728\u5176\u4e2d\u5f15\u767c\u62fc\u5beb\u932f\u8aa4\u3002 \u56e0\u6b64\uff0c0% \u96dc\u8a0a\u6642\uff0c\u6240\u6709\u6e2c\u8a66\u5be6\u9ad4\u4e5f\u540c\u6642\u51fa\u73fe\u5728 whitelist \u4e2d\uff0c\u56e0\u6b64\u89c0\u5bdf\u5230 100% \u6b63\u78ba\u5ea6\uff01)<div id=\"attachment_18940\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Performances-on-misspellings-induced-text-matching.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-18940\" class=\"wp-image-18940 size-full\" src=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Performances-on-misspellings-induced-text-matching.png\" alt=\"\u7531\u62fc\u5beb\u932f\u8aa4\u5f15\u767c\u7684\u6587\u5b57\u914d\u5c0d\u6548\u80fd\" width=\"720\" height=\"396\" srcset=\"https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Performances-on-misspellings-induced-text-matching.png 720w, https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Performances-on-misspellings-induced-text-matching-300x165.png 300w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/a><p id=\"caption-attachment-18940\" class=\"wp-caption-text\">\u5f15\u767c\u62fc\u5beb\u932f\u8aa4\u6587\u5b57\u914d\u5c0d\u7684\u6548\u80fd<\/p><\/div> \u00a0 \u6700\u5f8c\uff0c\u4ee5\u4e0b\u5716\u8868\u8aaa\u660e\u4e0d\u540c\u89e3\u6790\u7a0b\u5f0f\u9078\u9805\u4e2d\uff0c\u63a8\u65b7\u6642\u9593\u8907\u96dc\u5ea6\u7684\u5dee\u7570\uff1a<a href=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Time-complexities-accross-different-resover-choices.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-18950\" src=\"https:\/\/storage.googleapis.com\/wx-blg-prd-gcs\/wp-content\/uploads\/1\/2021\/07\/Time-complexities-accross-different-resover-choices.png\" alt=\"\u4e0d\u540c\u89e3\u6790\u7a0b\u5f0f\u9078\u9805\u7684\u6642\u9593\u8907\u96dc\u5ea6.png\" width=\"884\" height=\"262\" srcset=\"https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Time-complexities-accross-different-resover-choices.png 884w, https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Time-complexities-accross-different-resover-choices-300x89.png 300w, https:\/\/blog.webex.com\/wp-content\/uploads\/2021\/07\/Time-complexities-accross-different-resover-choices-768x228.png 768w\" sizes=\"auto, (max-width: 884px) 100vw, 884px\" \/><\/a>(\u5f9e\u5de6\u81f3\u53f3\uff1a\u6700\u6e96\u78ba\u7684 BERT\u3001TF-IDF \u548c Elasticsearch) \u6bcf\u4e00\u500b\u5be6\u9ad4\u5728\u4e0d\u540c\u5927\u5c0f\u77e5\u8b58\u5eab\u4e0b\uff0c\u6240\u6e2c\u91cf\u51fa\u7684\u63a8\u65b7\u6642\u9593\u3002 X \u8ef8\u986f\u793a\u77e5\u8b58\u5eab\u5927\u5c0f\uff0c\u800c Y \u8ef8\u5247\u986f\u793a\u5404\u5be6\u9ad4\u6642\u9593\uff0c\u55ae\u4f4d\u70ba\u6beb\u79d2\u3002 \u9ec3\u8272\u7684\u662f\u7de8\u78bc\u8f38\u5165\u6587\u5b57\u7684\u63a8\u65b7\u6642\u9593\uff0c\u7da0\u8272\u662f\u76f8\u4f3c\u6027\u8a08\u7b97\u7684\u63a8\u65b7\u6642\u9593\u3002 TF-IDF \u548c Elasticsearch \u7684\u6642\u9593\u8907\u96dc\u5ea6\u76f8\u7576\uff0c\u4f46\u6700\u4f73\u7684 BERT \u8b8a\u9ad4\u96d6\u7136\u5df2\u7d93\u91cf\u5316\uff0c\u4f9d\u7136\u6162 20 \u500d\u3002 \u5982\u679c\u4e0d\u4e32\u9023\u524d 4 \u5c64\uff0c\u901f\u5ea6\u6703\u63d0\u5347\u5230\u50c5\u6162 10 \u500d\uff0c\u4f46\u6703\u5c0e\u81f4\u6b63\u78ba\u5ea6\u4e0b\u964d\u3002<\/p>\n<h2><strong>\u9078\u53d6\u548c\u8a2d\u5b9a\u5be6\u9ad4\u89e3\u6790\u7a0b\u5f0f<\/strong><\/h2>\n<p>MindMeld \u5be6\u9ad4\u89e3\u6790\u7a0b\u5f0f\u8a2d\u5b9a\uff0c\u6703\u6839\u64da\u4f7f\u7528\u7684\u89e3\u6790\u7a0b\u5f0f\uff0c\u63d0\u4f9b\u5404\u7a2e\u53ef\u8a2d\u5b9a\u7684\u53c3\u6578\u3002 \u5728\u61c9\u7528\u7a0b\u5f0f\u7684\u300cconfig.py\u300d\u4e2d\u63d0\u4f9b\u6642\uff0c\u4ee5\u4e0b\u7a0b\u5f0f\u78bc\u7247\u6bb5\u5229\u7528\u60a8\u5728 Huggingface \u6240\u9078\u4e4b\u9810\u5148\u8a13\u7df4\u7684 BERT \u6a21\u578b\uff1a <em>ENTITY_RESOLVER_CONFIG = {<\/em> <em>\u00a0\u00a0\u00a0 &#8216;model_type&#8217;: &#8216;resolver&#8217;,<\/em> <em>\u00a0\u00a0\u00a0 &#8216;model_settings&#8217;: {<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 &#8216;resolver_type&#8217;: &#8216;sbert_cosine_similarity&#8217;,<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 &#8216;pretrained_name_or_abspath&#8217;: &#8216;distilbert-base-nli-stsb-mean-tokens&#8217;,<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 &#8230;<\/em> <em>\u00a0\u00a0\u00a0 }<\/em> <em>}<\/em> \u60a8\u53ef\u4ee5\u4fee\u6539\u300cembedder_type\u300d\u53c3\u6578\uff0c\u4ee5\u4f7f\u7528\u5176\u4ed6\u5d4c\u5165\u5668\u6a21\u578b\uff1a<em>ENTITY_RESOLVER_CONFIG = {<\/em> <em>\u00a0\u00a0\u00a0 &#8216;model_type&#8217;: &#8216;resolver&#8217;,<\/em> <em>\u00a0\u00a0\u00a0 &#8216;model_settings&#8217;: {<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 &#8216;resolver_type&#8217;: &#8217;embedder_cosine_similarity&#8217;,<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 &#8217;embedder_type&#8217;: &#8216;glove&#8217;,<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u2026<\/em> <em>\u00a0\u00a0\u00a0 }<\/em> <em>}<\/em> \u4f7f\u7528\u5d4c\u5165\u5668\u6a21\u578b\u6642\uff0c\u60a8\u4e5f\u53ef\u4ee5\u6307\u5b9a\u300cbatch_size\u300d\u7b49\u57f7\u884c\u6642\u9593\u8a2d\u5b9a\u4ee5\u53ca\u5d4c\u5165\u5668\u6a21\u578b\u7279\u5b9a\u8a2d\u5b9a\u3002 \u82e5\u8981\u8f09\u5165\u4ee5 TF-IDF \u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\uff0c\u60a8\u53ef\u4ee5\u57f7\u884c\u4ee5\u4e0b\u64cd\u4f5c\uff1a<em>ENTITY_RESOLVER_CONFIG = {<\/em> <em>\u00a0\u00a0\u00a0 &#8216;model_type&#8217;: &#8216;resolver&#8217;,<\/em> <em>\u00a0\u00a0\u00a0 &#8216;model_settings&#8217;: {<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 &#8216;resolver_type&#8217;: &#8216;tfidf_cosine_similarity&#8217;,<\/em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 &#8230;<\/em> <em>\u00a0\u00a0\u00a0 }<\/em> <em>}<\/em> \u77e5\u8b58\u5eab\u4e2d\u7684\u6bcf\u500b\u5be6\u9ad4\uff0c\u5305\u542b\u6240\u6709\u5225\u540d\u5d4c\u5165\u5e73\u5747\/\u6700\u5927\u96c6\u5340\u7684\u7279\u6b8a\u5d4c\u5165\uff0c\u8a2d\u5b9a\u5b8c\u6210\u5f8c\uff0c\u4e5f\u6703\u8a08\u7b97\u4e26\u7528\u65bc\u89e3\u6790\u3002 \u9019\u985e\u7279\u6b8a\u5d4c\u5165\u901a\u5e38\u53ea\u6703\u7a0d\u5fae\u589e\u52a0\u8a08\u7b97\u6210\u672c\uff0c\u4f46\u80fd\u6539\u5584\u89e3\u6790\u7a0b\u5f0f\u6b63\u78ba\u5ea6\u3002 \u5b8c\u6574\u8a73\u7d30\u8cc7\u6599\u548c\u6240\u6709\u53ef\u8a2d\u5b9a\u9078\u9805\uff0c\u8acb\u53c3\u95b1<a href=\"https:\/\/www.mindmeld.com\/docs\/userguide\/entity_resolver.html\">\u5b98\u65b9\u6587\u4ef6<\/a>\u4e2d\u7684\u300c\u8a2d\u5b9a\u300d\u7ae0\u7bc0\u3002<\/p>\n<h2><strong>\u7e3d\u7d50\u60f3\u6cd5\u548c\u672a\u4f86\u5c55\u671b<\/strong><\/h2>\n<p>\u6574\u9ad4\u800c\u8a00\uff0c\u9664\u975e\u56e0\u70ba\u7279\u6b8a\u60c5\u5883\u7121\u6cd5\u4f7f\u7528\u5916\uff0c\u5341\u5206\u63a8\u85a6\u4f7f\u7528\u4ee5 Elasticsearch \u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\u3002 \u81f3\u65bc\u5099\u7528\u65b9\u6848\uff0c\u5982\u679c\u9700\u8981\u66f4\u591a\u8a9e\u610f\u914d\u5c0d\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u5d4c\u5165\u5668\u6a21\u578b\u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\uff0c\u5982\u679c\u7121\u4e0a\u8ff0\u9700\u6c42\uff0c\u5247\u53ef\u4ee5\u4f7f\u7528\u4ee5 TF-IDF \u70ba\u57fa\u790e\u7684\u89e3\u6790\u7a0b\u5f0f\u3002 MindMeld \u4e2d\u7684 ER \u6a21\u7d44\uff0c\u76ee\u524d\u9084\u6c92\u6709\u63d0\u4f9b\u4efb\u4f55 API \u4f86\u8861\u91cf\u54ea\u4e00\u500b\u89e3\u6790\u7a0b\u5f0f\u6700\u9069\u5408\u60a8\u7684\u61c9\u7528\u7a0b\u5f0f\u3002 \u656c\u8acb\u671f\u5f85\uff0c\u6211\u5011\u5df2\u7d93\u8a08\u5283\u65b0\u589e\u8a72\u9805\u652f\u63f4\uff0c\u4ee5\u53ca\u5fae\u8abf\u4ee5\u5d4c\u5165\u5668\u70ba\u57fa\u790e\u89e3\u6790\u7a0b\u5f0f\u7684\u65b9\u6cd5\u3002 <a href=\"https:\/\/www.webex.com\/video-conferencing\">\u8a3b\u518a Webex<\/a> \u8acb\u524d\u5f80\u6211\u5011\u7684<a href=\"https:\/\/www.webex.com\/\">\u9996\u9801<\/a>\u6216\u76f4\u63a5<a href=\"https:\/\/www.webex.com\/contact-us.html\">\u806f\u7d61\u6211\u5011<\/a>\u4ee5\u5c0b\u6c42\u5354\u52a9\u3002 <span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"><a href=\"https:\/\/www.webex.com\/?utm_source=Influence&#038;utm_medium=EarnedContent&#038;utm_campaign=FutureOfWork\">\u6309\u4e00\u4e0b\u6b64\u8655<\/a>\uff0c\u6df1\u5165\u77ad\u89e3 Webex \u63d0\u4f9b\u7684\u7522\u54c1\u8207\u670d\u52d9\uff0c\u4e26\u8a3b\u518a\u514d\u8cbb\u5e33\u6236\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ecb\u7d39 \u5be6\u9ad4\u89e3\u6790 (ER) \u662f\u6d88\u9664\u5be6\u9ad4\u6b67\u7570 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Prior to MindMeld, Sai completed his Masters in Intelligent Information Systems from Carnegie Mellon University.","sameAs":["https:\/\/www.linkedin.com\/in\/sai-murali\/"],"url":"https:\/\/blog.webex.com\/zh-hant\/contributors\/sjayanthi\/"}]}},"_links":{"self":[{"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/posts\/352654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/users\/5432"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/comments?post=352654"}],"version-history":[{"count":0,"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/posts\/352654\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/media\/18899"}],"wp:attachment":[{"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/media?parent=352654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/categories?post=352654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.webex.com\/zh-hant\/wp-json\/wp\/v2\/tags?post=352654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}