{"id":11560,"date":"2023-01-29T16:03:00","date_gmt":"2023-01-29T08:03:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=11560"},"modified":"2023-01-28T16:03:34","modified_gmt":"2023-01-28T08:03:34","slug":"positional_encoding","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2023\/01\/29\/positional_encoding\/","title":{"rendered":"\u4f4d\u7f6e\u7f16\u7801\u7cfb\u5217\uff08NLP  and  CV\u9886\u57df\uff09"},"content":{"rendered":"\n\n\n<h2>NLP\u4e2d\u7684\u4f4d\u7f6e\u7f16\u7801<\/h2>\n\n\n\n<p class=\"has-text-align-center has-bright-blue-background-color has-background\"><strong>\u8f6c\u8f7d\uff1a<a rel=\"noreferrer noopener\" href=\"https:\/\/kexue.fm\/archives\/8130\" target=\"_blank\">\u8ba9\u7814\u7a76\u4eba\u5458\u7ede\u5c3d\u8111\u6c41\u7684Transformer\u4f4d\u7f6e\u7f16\u7801<\/a><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-8-1024x345.png\" alt=\"\" class=\"wp-image-11626\" width=\"713\" height=\"240\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-8-1024x345.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-8-300x101.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-8-768x259.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-8-1536x517.png 1536w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-8.png 1686w\" sizes=\"(max-width: 713px) 100vw, 713px\" \/><figcaption>\u603b\u4f53\u7ed3\u6784<\/figcaption><\/figure>\n\n\n\n<p>        Bert\u95ee\u4e16\u540e\u77ac\u95f4\u5f15\u7206\u4e86NLP\u9886\u57df\uff0c\u540c\u65f6\u4e5f\u8ba9Transformer\u706b\u4e86\u8d77\u6765\uff0cTransformer\u4e2d\u7279\u5f81\u63d0\u53d6\u7684\u65b9\u5f0f\u4e0d\u662f\u4f20\u7edf\u7684CNN\uff0cRNN\u7b49\uff0c\u800c\u662f\u7528attention\u7684\u5f62\u5f0f\uff0c\u8fd9\u79cd\u6a21\u5f0f\u88ab\u7528\u5728AI\u7684\u5404\u4e2a\u9886\u57df\u4e2d\uff0c\u5305\u62ecCV\u548c\u8bed\u97f3\u7b49\u3002attention\u63d0\u53d6\u7279\u5f81\u7684\u6548\u679c\u975e\u5e38\u597d\uff0c\u53ef\u4ee5\u975e\u5e38\u6709\u6548\u7684\u63d0\u53d6\u5230\u4e0a\u4e0b\u6587\u7684\u4fe1\u606f\uff0c\u4f46\u662f\u5728NLP\u4e2d\u4f1a\u6709\u4e2a\u95ee\u9898\uff1a<em><strong>attention\u63d0\u53d6\u7279\u5f81\u7684\u65f6\u5019\uff0c\u5f53\u524d\u8fd9\u4e2a\u5b57\u5bf9\u4e0a\u4e0b\u6587\u7684\u5176\u4ed6\u5b57\u7684\u5173\u8054\u6027\u53ef\u4ee5\u5f88\u597d\u7684\u4f53\u73b0\u51fa\u6765\uff0c\u4f46\u662f\u5176\u4ed6\u5b57\u7684\u4f4d\u7f6e\u5728\u54ea\u91cc\u90fd\u53ef\u4ee5\uff0c\u5728\u8fd9\u4e2a\u5b57\u7684\u524d\u9762\u3001\u540e\u9762\u90fd\u53ef\u4ee5\uff0c\u95f4\u9694\u7684\u8ddd\u79bb\u4e5f\u6ca1\u6709\u8981\u6c42\u3002\u4f46\u5176\u5b9e\u8fd9\u8ddf\u6211\u4eec\u5e73\u65f6\u8868\u8fbe\u7684\u8bed\u8a00\u80af\u5b9a\u662f\u77db\u76fe\u7684\uff0c\u4e8e\u662f\u5728Transformer\u4e2d\u52a0\u5165\u4e86\u4f4d\u7f6e\u7f16\u7801\u3002<\/strong><\/em><\/p>\n\n\n\n<p>      \u867d\u7136\u8bf4\u8d77\u6765\u4e3b\u8981\u5c31\u662f\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u548c\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u4e24\u5927\u7c7b\uff0c\u4f46\u6bcf\u4e00\u7c7b\u5176\u5b9e\u53c8\u80fd\u884d\u751f\u51fa\u5404\u79cd\u5404\u6837\u7684\u53d8\u79cd\uff0c\u4e3a\u6b64\u7814\u7a76\u4eba\u5458\u53ef\u7b97\u662f\u715e\u8d39\u82e6\u5fc3\u3001\u7ede\u5c3d\u8111\u6c41\u4e86\uff0c\u6b64\u5916\u8fd8\u6709\u4e00\u4e9b\u4e0d\u6309\u5957\u8def\u51fa\u724c\u7684\u4f4d\u7f6e\u7f16\u7801\u3002\u672c\u6587\u5c31\u8ba9\u6211\u4eec\u6765\u6b23\u8d4f\u4e00\u4e0b\u7814\u7a76\u4eba\u5458\u4e3a\u4e86\u66f4\u597d\u5730\u8868\u8fbe\u4f4d\u7f6e\u4fe1\u606f\u6240\u6784\u5efa\u51fa\u6765\u7684\u201c\u516b\u4ed9\u8fc7\u6d77\uff0c\u5404\u663e\u795e\u901a\u201d\u822c\u7684\u7f16\u7801\u65b9\u6848\u3002<\/p>\n\n\n\n<h2 id=\"\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\">\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801<\/h2>\n\n\n\n<p>       \u5f62\u5f0f\u4e0a\u6765\u770b\uff0c\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u662f\u76f8\u5bf9\u7b80\u5355\u7684\u4e00\u79cd\u65b9\u6848\uff0c\u4f46\u5373\u4fbf\u5982\u6b64\uff0c\u4e5f\u4e0d\u59a8\u788d\u5404\u8def\u7814\u7a76\u4eba\u5458\u7684\u5947\u601d\u5999\u60f3\uff0c\u4e5f\u6709\u4e0d\u5c11\u7684\u53d8\u79cd\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u4f1a\u52a0\u5230\u8f93\u5165\u4e2d\uff1a\u5728\u8f93\u5165\u7684\u7b2ck\u4e2a\u5411\u91cf \u00a0<code>\\(xk\\)<\/code>\u4e2d\u52a0\u5165\u4f4d\u7f6e\u5411\u91cf \u00a0<code>\\(pk\\)<\/code>\u53d8\u4e3a\\(xk+pk\\)\uff0c\u5176\u4e2d\\(pk\\)\u53ea\u4f9d\u8d56\u4e8e\u4f4d\u7f6e\u7f16\u53f7k\u3002<\/p>\n\n\n\n<h3 id=\"\u8bad\u7ec3\u5f0f\">\u8bad\u7ec3\u5f0f<\/h3>\n\n\n\n<p>      \u5f88\u663e\u7136\uff0c\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u7684\u4e00\u4e2a\u6700\u6734\u7d20\u65b9\u6848\u662f\u4e0d\u7279\u610f\u53bb\u8bbe\u8ba1\u4ec0\u4e48\uff0c\u800c\u662f\u76f4\u63a5\u5c06\u4f4d\u7f6e\u7f16\u7801\u5f53\u4f5c\u53ef\u8bad\u7ec3\u53c2\u6570\uff0c\u6bd4\u5982\u6700\u5927\u957f\u5ea6\u4e3a512\uff0c\u7f16\u7801\u7ef4\u5ea6\u4e3a768\uff0c\u90a3\u4e48\u5c31\u521d\u59cb\u5316\u4e00\u4e2a512\u00d7768\u7684\u77e9\u9635\u4f5c\u4e3a\u4f4d\u7f6e\u5411\u91cf\uff0c\u8ba9\u5b83\u968f\u7740\u8bad\u7ec3\u8fc7\u7a0b\u66f4\u65b0\u3002\u73b0\u5728\u7684BERT\u3001GPT\u7b49\u6a21\u578b\u6240\u7528\u7684\u5c31\u662f\u8fd9\u79cd\u4f4d\u7f6e\u7f16\u7801\uff0c\u4e8b\u5b9e\u4e0a\u5b83\u8fd8\u53ef\u4ee5\u8ffd\u6eaf\u5f97\u66f4\u65e9\uff0c\u6bd4\u59822017\u5e74Facebook\u7684<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/1705.03122\" target=\"_blank\">\u300aConvolutional Sequence to Sequence Learning\u300b<\/a>\u5c31\u5df2\u7ecf\u7528\u5230\u4e86\u5b83\u3002<\/p>\n\n\n\n<p>       \u5bf9\u4e8e\u8fd9\u79cd\u8bad\u7ec3\u5f0f\u7684\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\uff0c\u4e00\u822c\u7684\u8ba4\u4e3a\u5b83\u7684\u7f3a\u70b9\u662f\u6ca1\u6709\u5916\u63a8\u6027\uff0c\u5373\u5982\u679c\u9884\u8bad\u7ec3\u6700\u5927\u957f\u5ea6\u4e3a512\u7684\u8bdd\uff0c\u90a3\u4e48\u6700\u591a\u5c31\u53ea\u80fd\u5904\u7406\u957f\u5ea6\u4e3a512\u7684\u53e5\u5b50\uff0c\u518d\u957f\u5c31\u5904\u7406\u4e0d\u4e86\u4e86\u3002\u5f53\u7136\uff0c\u4e5f\u53ef\u4ee5\u5c06\u8d85\u8fc7512\u7684\u4f4d\u7f6e\u5411\u91cf\u968f\u673a\u521d\u59cb\u5316\uff0c\u7136\u540e\u7ee7\u7eed\u5fae\u8c03\u3002\u4f46\u7b14\u8005\u6700\u8fd1\u7684\u7814\u7a76\u8868\u660e\uff0c\u901a\u8fc7\u5c42\u6b21\u5206\u89e3\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u5f97\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u80fd\u5916\u63a8\u5230\u8db3\u591f\u957f\u7684\u8303\u56f4\uff0c\u540c\u65f6\u4fdd\u6301\u8fd8\u4e0d\u9519\u7684\u6548\u679c\uff0c\u56e0\u6b64\uff0c\u5176\u5b9e\u5916\u63a8\u6027\u4e5f\u4e0d\u662f\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u7684\u660e\u663e\u7f3a\u70b9\u3002<\/p>\n\n\n\n<h3 id=\"\u4e09\u89d2\u5f0f\">\u4e09\u89d2\u5f0f<\/h3>\n\n\n\n<p>\u4e09\u89d2\u51fd\u6570\u5f0f\u4f4d\u7f6e\u7f16\u7801\uff0c\u4e00\u822c\u4e5f\u79f0\u4e3aSinusoidal\u4f4d\u7f6e\u7f16\u7801\uff0c\u662fGoogle\u7684\u8bba\u6587<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/1706.03762\" target=\"_blank\">\u300aAttention is All You Need\u300b<\/a>\u6240\u63d0\u51fa\u6765\u7684\u4e00\u4e2a\u663e\u5f0f\u89e3\uff1a<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full\"><img loading=\"lazy\" width=\"532\" height=\"151\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-36.png\" alt=\"\" class=\"wp-image-11877\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-36.png 532w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-36-300x85.png 300w\" sizes=\"(max-width: 532px) 100vw, 532px\" \/><\/figure><\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"259\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-37-1024x259.png\" alt=\"\" class=\"wp-image-11879\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-37-1024x259.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-37-300x76.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-37-768x195.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-37.png 1188w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 id=\"\u9012\u5f52\u5f0f\">\u9012\u5f52\u5f0f<\/h3>\n\n\n\n<p>\u539f\u5219\u4e0a\u6765\u8bf4\uff0cRNN\u6a21\u578b\u4e0d\u9700\u8981\u4f4d\u7f6e\u7f16\u7801\uff0c\u5b83\u5728\u7ed3\u6784\u4e0a\u5c31\u81ea\u5e26\u4e86\u5b66\u4e60\u5230\u4f4d\u7f6e\u4fe1\u606f\u7684\u53ef\u80fd\u6027\uff08\u56e0\u4e3a\u9012\u5f52\u5c31\u610f\u5473\u7740\u6211\u4eec\u53ef\u4ee5\u8bad\u7ec3\u4e00\u4e2a\u201c\u6570\u6570\u201d\u6a21\u578b\uff09\uff0c\u56e0\u6b64\uff0c\u5982\u679c\u5728\u8f93\u5165\u540e\u9762\u5148\u63a5\u4e00\u5c42RNN\uff0c\u7136\u540e\u518d\u63a5Transformer\uff0c\u90a3\u4e48\u7406\u8bba\u4e0a\u5c31\u4e0d\u9700\u8981\u52a0\u4f4d\u7f6e\u7f16\u7801\u4e86\u3002\u540c\u7406\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u7528RNN\u6a21\u578b\u6765\u5b66\u4e60\u4e00\u79cd\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\uff0c\u6bd4\u5982\u4ece\u4e00\u4e2a\u5411\u91cfp0\u51fa\u53d1\uff0c\u901a\u8fc7\u9012\u5f52\u683c\u5f0fpk+1=f(pk)\u6765\u5f97\u5230\u5404\u4e2a\u4f4d\u7f6e\u7684\u7f16\u7801\u5411\u91cf\u3002<\/p>\n\n\n\n<p>ICML 2020\u7684\u8bba\u6587<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/2003.09229\" target=\"_blank\">\u300aLearning to Encode Position for Transformer with Continuous Dynamical Model\u300b<\/a>\u628a\u8fd9\u4e2a\u601d\u60f3\u63a8\u5230\u4e86\u6781\u81f4\uff0c\u5b83\u63d0\u51fa\u4e86\u7528\u5fae\u5206\u65b9\u7a0b\uff08ODE\uff09dpt\/dt=h(pt,t)\u7684\u65b9\u5f0f\u6765\u5efa\u6a21\u4f4d\u7f6e\u7f16\u7801\uff0c\u8be5\u65b9\u6848\u79f0\u4e4b\u4e3aFLOATER\u3002\u663e\u7136\uff0cFLOATER\u4e5f\u5c5e\u4e8e\u9012\u5f52\u6a21\u578b\uff0c\u51fd\u6570h(pt,t)\u53ef\u4ee5\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u6765\u5efa\u6a21\uff0c\u56e0\u6b64\u8fd9\u79cd\u5fae\u5206\u65b9\u7a0b\u4e5f\u79f0\u4e3a\u795e\u7ecf\u5fae\u5206\u65b9\u7a0b\uff0c\u5173\u4e8e\u5b83\u7684\u5de5\u4f5c\u6700\u8fd1\u4e5f\u9010\u6e10\u591a\u4e86\u8d77\u6765\u3002<\/p>\n\n\n\n<p>\u7406\u8bba\u4e0a\u6765\u8bf4\uff0c\u57fa\u4e8e\u9012\u5f52\u6a21\u578b\u7684\u4f4d\u7f6e\u7f16\u7801\u4e5f\u5177\u6709\u6bd4\u8f83\u597d\u7684\u5916\u63a8\u6027\uff0c\u540c\u65f6\u5b83\u4e5f\u6bd4\u4e09\u89d2\u51fd\u6570\u5f0f\u7684\u4f4d\u7f6e\u7f16\u7801\u6709\u66f4\u597d\u7684\u7075\u6d3b\u6027\uff08\u6bd4\u5982\u5bb9\u6613\u8bc1\u660e\u4e09\u89d2\u51fd\u6570\u5f0f\u7684\u4f4d\u7f6e\u7f16\u7801\u5c31\u662fFLOATER\u7684\u67d0\u4e2a\u7279\u89e3\uff09\u3002\u4f46\u662f\u5f88\u660e\u663e\uff0c\u9012\u5f52\u5f62\u5f0f\u7684\u4f4d\u7f6e\u7f16\u7801\u727a\u7272\u4e86\u4e00\u5b9a\u7684\u5e76\u884c\u6027\uff0c\u53ef\u80fd\u4f1a\u5e26\u901f\u5ea6\u74f6\u9888\u3002<\/p>\n\n\n\n<h3 id=\"\u76f8\u4e58\u5f0f\">\u76f8\u4e58\u5f0f<\/h3>\n\n\n\n<p>\u521a\u624d\u6211\u4eec\u8bf4\u5230\uff0c\u8f93\u5165xk\u4e0e\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801pk\u7684\u7ec4\u5408\u65b9\u5f0f\u4e00\u822c\u662fxk+pk\uff0c\u90a3\u6709\u6ca1\u6709\u201c\u4e0d\u4e00\u822c\u201d\u7684\u7ec4\u5408\u65b9\u5f0f\u5462\uff1f\u6bd4\u5982xk\u2297pk\uff08\u9010\u4f4d\u76f8\u4e58\uff09\uff1f\u6211\u4eec\u5e73\u65f6\u5728\u642d\u5efa\u6a21\u578b\u7684\u65f6\u5019\uff0c\u5bf9\u4e8e\u878d\u5408\u4e24\u4e2a\u5411\u91cf\u6709\u591a\u79cd\u65b9\u5f0f\uff0c\u76f8\u52a0\u3001\u76f8\u4e58\u751a\u81f3\u62fc\u63a5\u90fd\u662f\u53ef\u4ee5\u8003\u8651\u7684\uff0c\u600e\u4e48\u5927\u5bb6\u5728\u505a\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u7684\u65f6\u5019\uff0c\u90fd\u9ed8\u8ba4\u53ea\u8003\u8651\u76f8\u52a0\u4e86\uff1f<\/p>\n\n\n\n<p>\u5f88\u62b1\u6b49\uff0c\u7b14\u8005\u4e5f\u4e0d\u77e5\u9053\u7b54\u6848\u3002\u53ef\u80fd\u5927\u5bb6\u9ed8\u8ba4\u9009\u62e9\u76f8\u52a0\u662f\u56e0\u4e3a\u5411\u91cf\u7684\u76f8\u52a0\u5177\u6709\u6bd4\u8f83\u9c9c\u660e\u7684\u51e0\u4f55\u610f\u4e49\uff0c\u4f46\u662f\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u6765\u8bf4\uff0c\u8fd9\u79cd\u51e0\u4f55\u610f\u4e49\u5176\u5b9e\u6ca1\u6709\u4ec0\u4e48\u5b9e\u9645\u7684\u4ef7\u503c\u3002\u6700\u8fd1\u7b14\u8005\u770b\u5230\u7684\u4e00\u4e2a\u5b9e\u9a8c\u663e\u793a\uff0c\u4f3c\u4e4e\u5c06\u201c\u52a0\u201d\u6362\u6210\u201c\u4e58\u201d\uff0c\u4e5f\u5c31\u662fxk\u2297pk\u7684\u65b9\u5f0f\uff0c\u4f3c\u4e4e\u6bd4xk+pk\u80fd\u53d6\u5f97\u66f4\u597d\u7684\u7ed3\u679c\u3002\u5177\u4f53\u6548\u679c\u7b14\u8005\u4e5f\u6ca1\u6709\u5b8c\u6574\u5bf9\u6bd4\u8fc7\uff0c\u53ea\u662f\u63d0\u4f9b\u8fd9\u4e48\u4e00\u79cd\u53ef\u80fd\u6027\u3002\u5173\u4e8e\u5b9e\u9a8c\u6765\u6e90\uff0c\u53ef\u4ee5\u53c2\u8003<a rel=\"noreferrer noopener\" href=\"https:\/\/zhuanlan.zhihu.com\/p\/183234823\" target=\"_blank\">\u300a\u4e2d\u6587\u8bed\u8a00\u6a21\u578b\u7814\u7a76\uff1a(1) \u4e58\u6027\u4f4d\u7f6e\u7f16\u7801\u300b<\/a>\u3002<\/p>\n\n\n\n<h2 id=\"\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\">\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801<\/h2>\n\n\n\n<p>\u76f8\u5bf9\u4f4d\u7f6e\u5e76\u6ca1\u6709\u5b8c\u6574\u5efa\u6a21\u6bcf\u4e2a\u8f93\u5165\u7684\u4f4d\u7f6e\u4fe1\u606f\uff0c\u800c\u662f\u5728\u7b97Attention\u7684\u65f6\u5019\u8003\u8651\u5f53\u524d\u4f4d\u7f6e\u4e0e\u88abAttention\u7684\u4f4d\u7f6e\u7684\u76f8\u5bf9\u8ddd\u79bb\uff0c\u7531\u4e8e\u81ea\u7136\u8bed\u8a00\u4e00\u822c\u66f4\u4f9d\u8d56\u4e8e\u76f8\u5bf9\u4f4d\u7f6e\uff0c\u6240\u4ee5\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u901a\u5e38\u4e5f\u6709\u7740\u4f18\u79c0\u7684\u8868\u73b0\u3002\u5bf9\u4e8e\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u6765\u8bf4\uff0c\u5b83\u7684\u7075\u6d3b\u6027\u66f4\u5927\uff0c\u66f4\u52a0\u4f53\u73b0\u51fa\u4e86\u7814\u7a76\u4eba\u5458\u7684\u201c\u5929\u9a6c\u884c\u7a7a\u201d\u3002<\/p>\n\n\n\n<h3 id=\"\u7ecf\u5178\u5f0f\">\u7ecf\u5178\u5f0f<\/h3>\n\n\n\n<p>\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u8d77\u6e90\u4e8eGoogle\u7684\u8bba\u6587<a href=\"https:\/\/arxiv.org\/abs\/1803.02155\" target=\"_blank\" rel=\"noreferrer noopener\">\u300aSelf-Attention with Relative Position Representations\u300b<\/a>\uff0c\u534e\u4e3a\u5f00\u6e90\u7684NEZHA\u6a21\u578b\u4e5f\u7528\u5230\u4e86\u8fd9\u79cd\u4f4d\u7f6e\u7f16\u7801\uff0c\u540e\u9762\u5404\u79cd\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u53d8\u4f53\u57fa\u672c\u4e5f\u662f\u4f9d\u846b\u82a6\u753b\u74e2\u7684\u7b80\u5355\u4fee\u6539\u3002<\/p>\n\n\n\n<p>\u4e00\u822c\u8ba4\u4e3a\uff0c\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u662f\u7531\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u542f\u53d1\u800c\u6765\uff0c\u8003\u8651\u4e00\u822c\u7684\u5e26\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u7684Attention\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"725\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-38-1024x725.png\" alt=\"\" class=\"wp-image-11886\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-38-1024x725.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-38-300x212.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-38-768x544.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-38.png 1194w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"290\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-39-1024x290.png\" alt=\"\" class=\"wp-image-11887\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-39-1024x290.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-39-300x85.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-39-768x218.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-39.png 1224w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 id=\"XLNET\u5f0f\">XLNET\u5f0f<\/h3>\n\n\n\n<p>XLNET\u5f0f\u4f4d\u7f6e\u7f16\u7801\u5176\u5b9e\u6e90\u81eaTransformer-XL\u7684\u8bba\u6587<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/1901.02860\" target=\"_blank\">\u300aTransformer-XL: Attentive Language Models Beyond a Fixed-Length Context\u300b<\/a>\uff0c\u53ea\u4e0d\u8fc7\u56e0\u4e3a\u4f7f\u7528\u4e86Transformer-XL\u67b6\u6784\u7684<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/1906.08237\" target=\"_blank\">XLNET<\/a>\u6a21\u578b\u5e76\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u8d85\u8fc7\u4e86BERT\u540e\uff0cTransformer-XL\u624d\u7b97\u5e7f\u4e3a\u4eba\u77e5\uff0c\u56e0\u6b64\u8fd9\u79cd\u4f4d\u7f6e\u7f16\u7801\u901a\u5e38\u4e5f\u88ab\u51a0\u4ee5XLNET\u4e4b\u540d\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"443\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-40-1024x443.png\" alt=\"\" class=\"wp-image-11888\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-40-1024x443.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-40-300x130.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-40-768x332.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-40.png 1207w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 id=\"T5\u5f0f\">T5\u5f0f<\/h3>\n\n\n\n<p>T5\u6a21\u578b\u51fa\u81ea\u6587\u7ae0<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/1910.10683\" target=\"_blank\">\u300aExploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer\u300b<\/a>\uff0c\u91cc\u8fb9\u7528\u5230\u4e86\u4e00\u79cd\u66f4\u7b80\u5355\u7684\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u3002\u601d\u8def\u4f9d\u7136\u6e90\u81ea\u5c55\u5f00\u5f0f<a href=\"https:\/\/kexue.fm\/archives\/8130#mjx-eqn-eq%3Aqk-exp\">(7)<\/a>(7)\uff0c\u5982\u679c\u975e\u8981\u5206\u6790\u6bcf\u4e00\u9879\u7684\u542b\u4e49\uff0c\u90a3\u4e48\u53ef\u4ee5\u5206\u522b\u7406\u89e3\u4e3a\u201c\u8f93\u5165-\u8f93\u5165\u201d\u3001\u201c\u8f93\u5165-\u4f4d\u7f6e\u201d\u3001\u201c\u4f4d\u7f6e-\u8f93\u5165\u201d\u3001\u201c\u4f4d\u7f6e-\u4f4d\u7f6e\u201d\u56db\u9879\u6ce8\u610f\u529b\u7684\u7ec4\u5408\u3002\u5982\u679c\u6211\u4eec\u8ba4\u4e3a\u8f93\u5165\u4fe1\u606f\u4e0e\u4f4d\u7f6e\u4fe1\u606f\u5e94\u8be5\u662f\u72ec\u7acb\uff08\u89e3\u8026\uff09\u7684\uff0c\u90a3\u4e48\u5b83\u4eec\u5c31\u4e0d\u5e94\u8be5\u6709\u8fc7\u591a\u7684\u4ea4\u4e92\uff0c\u6240\u4ee5\u201c\u8f93\u5165-\u4f4d\u7f6e\u201d\u3001\u201c\u4f4d\u7f6e-\u8f93\u5165\u201d\u4e24\u9879Attention\u53ef\u4ee5\u5220\u6389\uff0c\u800cpiWQW\u22a4Kp\u22a4j\u22a4\u5b9e\u9645\u4e0a\u53ea\u662f\u4e00\u4e2a\u53ea\u4f9d\u8d56\u4e8e(i,j)\u7684\u6807\u91cf\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u5c06\u5b83\u4f5c\u4e3a\u53c2\u6570\u8bad\u7ec3\u51fa\u6765\uff0c\u5373\u7b80\u5316\u4e3a<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full\"><img loading=\"lazy\" width=\"316\" height=\"76\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-41.png\" alt=\"\" class=\"wp-image-11890\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-41.png 316w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-41-300x72.png 300w\" sizes=\"(max-width: 316px) 100vw, 316px\" \/><\/figure><\/div>\n\n\n\n<p>\u8bf4\u767d\u4e86\uff0c\u5b83\u4ec5\u4ec5\u662f\u5728Attention\u77e9\u9635\u7684\u57fa\u7840\u4e0a\u52a0\u4e00\u4e2a\u53ef\u8bad\u7ec3\u7684\u504f\u7f6e\u9879\u800c\u5df2\uff0c\u800c\u8ddfXLNET\u5f0f\u4e00\u6837\uff0c\u5728vj\u4e0a\u7684\u4f4d\u7f6e\u504f\u7f6e\u5219\u76f4\u63a5\u88ab\u53bb\u6389\u4e86\u3002\u5305\u542b\u540c\u6837\u7684\u601d\u60f3\u7684\u8fd8\u6709\u5fae\u8f6f\u5728ICLR 2021\u7684\u8bba\u6587<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/2006.15595\" target=\"_blank\">\u300aRethinking Positional Encoding in Language Pre-training\u300b<\/a>\u4e2d\u63d0\u51fa\u7684TUPE\u4f4d\u7f6e\u7f16\u7801\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"447\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-42-1024x447.png\" alt=\"\" class=\"wp-image-11891\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-42-1024x447.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-42-300x131.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-42-768x335.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-42.png 1184w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 id=\"DeBERTa\u5f0f\">DeBERTa\u5f0f<\/h3>\n\n\n\n<p>DeBERTa\u4e5f\u662f\u5fae\u8f6f\u641e\u7684\uff0c\u53bb\u5e746\u6708\u5c31\u53d1\u51fa\u6765\u4e86\uff0c\u8bba\u6587\u4e3a<a href=\"https:\/\/arxiv.org\/abs\/2006.03654\" target=\"_blank\" rel=\"noreferrer noopener\">\u300aDeBERTa: Decoding-enhanced BERT with Disentangled Attention\u300b<\/a>\uff0c\u6700\u8fd1\u53c8\u5c0f\u5c0f\u5730\u706b\u4e86\u4e00\u628a\uff0c\u4e00\u662f\u56e0\u4e3a\u5b83\u6b63\u5f0f\u4e2d\u4e86ICLR 2021\uff0c\u4e8c\u5219\u662f\u5b83\u767b\u4e0a<a href=\"https:\/\/super.gluebenchmark.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">SuperGLUE<\/a>\u7684\u699c\u9996\uff0c\u6210\u7ee9\u7a0d\u5fae\u8d85\u8fc7\u4e86T5\u3002<\/p>\n\n\n\n<p>\u5176\u5b9eDeBERTa\u7684\u4e3b\u8981\u6539\u8fdb\u4e5f\u662f\u5728\u4f4d\u7f6e\u7f16\u7801\u4e0a\uff0c\u540c\u6837\u8fd8\u662f\u4ece\u5c55\u5f00\u5f0f<a href=\"https:\/\/kexue.fm\/archives\/8130#mjx-eqn-eq%3Aqk-exp\">(7)<\/a>(7)\u51fa\u53d1\uff0cT5\u662f\u5e72\u8106\u53bb\u6389\u4e86\u7b2c2\u30013\u9879\uff0c\u53ea\u4fdd\u7559\u7b2c4\u9879\u5e76\u66ff\u6362\u4e3a\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\uff0c\u800cDeBERTa\u5219\u521a\u521a\u76f8\u53cd\uff0c\u5b83\u6254\u6389\u4e86\u7b2c4\u9879\uff0c\u4fdd\u7559\u7b2c2\u30013\u9879\u5e76\u4e14\u66ff\u6362\u4e3a\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\uff08\u679c\u7136\uff0c\u79d1\u7814\u5c31\u662f\u679a\u4e3e\u6240\u6709\u7684\u6392\u5217\u7ec4\u5408\u770b\u54ea\u4e2a\u6700\u4f18\uff09\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"132\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-43-1024x132.png\" alt=\"\" class=\"wp-image-11892\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-43-1024x132.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-43-300x39.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-43-768x99.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-43.png 1199w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u4e0d\u8fc7\uff0cDeBERTa\u6bd4\u8f83\u6709\u610f\u601d\u7684\u5730\u65b9\uff0c\u662f\u63d0\u4f9b\u4e86\u4f7f\u7528\u76f8\u5bf9\u4f4d\u7f6e\u548c\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u7684\u4e00\u4e2a\u65b0\u89c6\u89d2\uff0c\u5b83\u6307\u51faNLP\u7684\u5927\u591a\u6570\u4efb\u52a1\u53ef\u80fd\u90fd\u53ea\u9700\u8981\u76f8\u5bf9\u4f4d\u7f6e\u4fe1\u606f\uff0c\u4f46\u786e\u5b9e\u6709\u4e9b\u573a\u666f\u4e0b\u7edd\u5bf9\u4f4d\u7f6e\u4fe1\u606f\u66f4\u6709\u5e2e\u52a9\uff0c\u4e8e\u662f\u5b83\u5c06\u6574\u4e2a\u6a21\u578b\u5206\u4e3a\u4e24\u90e8\u5206\u6765\u7406\u89e3\u3002\u4ee5Base\u7248\u7684MLM\u9884\u8bad\u7ec3\u6a21\u578b\u4e3a\u4f8b\uff0c\u5b83\u4e00\u5171\u670913\u5c42\uff0c\u524d11\u5c42\u53ea\u662f\u7528\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\uff0c\u8fd9\u90e8\u5206\u79f0\u4e3aEncoder\uff0c\u540e\u97622\u5c42\u52a0\u5165\u7edd\u5bf9\u4f4d\u7f6e\u4fe1\u606f\uff0c\u8fd9\u90e8\u5206\u5b83\u79f0\u4e4b\u4e3aDecoder\uff0c\u8fd8\u5f04\u4e86\u4e2a\u7b80\u79f0EMD\uff08Enhanced Mask Decoder\uff09\uff1b\u81f3\u4e8e\u4e0b\u6e38\u4efb\u52a1\u7684\u5fae\u8c03\u622a\u65ad\uff0c\u5219\u662f\u4f7f\u7528\u524d11\u5c42\u7684Encoder\u52a0\u4e0a1\u5c42\u7684Decoder\u6765\u8fdb\u884c\u3002<\/p>\n\n\n\n<p>SuperGLUE\u4e0a\u7684\u6210\u7ee9\u80af\u5b9a\u4e86DeBERTa\u7684\u4ef7\u503c\uff0c\u4f46\u662f\u5b83\u8bba\u6587\u7684\u5404\u79cd\u547d\u540d\u771f\u7684\u662f\u8ba9\u4eba\u89c9\u5f97\u6781\u5ea6\u4e0d\u9002\uff0c\u6bd4\u5982\u5b83\u81ea\u79f0\u7684\u201cEncoder\u201d\u3001\u201cDecoder\u201d\u5c31\u5f88\u5bb9\u6613\u8ba9\u4eba\u8bef\u89e3\u8fd9\u662f\u4e00\u4e2aSeq2Seq\u6a21\u578b\uff0c\u6bd4\u5982EMD\u8fd9\u4e2a\u7b80\u79f0\u4e5f\u8ddfEarth Mover&#8217;s Distance\u91cd\u540d\u3002\u867d\u7136\u6709\u65f6\u5019\u91cd\u540d\u662f\u4e0d\u53ef\u907f\u514d\u7684\uff0c\u4f46\u5b83\u91cd\u7684\u540d\u90fd\u662fML\u754c\u5927\u5bb6\u90fd\u6bd4\u8f83\u719f\u6089\u7684\u5bf9\u8c61\uff0c\u76f8\u5f53\u5bb9\u6613\u5f15\u8d77\u8bef\u89e3\uff0c\u771f\u4e0d\u77e5\u9053\u4f5c\u8005\u662f\u600e\u4e48\u60f3\u7684&#8230;<\/p>\n\n\n\n<h2 id=\"\u5176\u4ed6\u4f4d\u7f6e\u7f16\u7801\">\u5176\u4ed6\u4f4d\u7f6e\u7f16\u7801<\/h2>\n\n\n\n<p>\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u548c\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u867d\u7136\u82b1\u6837\u767e\u51fa\uff0c\u4f46\u4ecd\u7136\u7b97\u662f\u7ecf\u5178\u8303\u56f4\u5185\uff0c\u4ece\u4e0a\u8ff0\u4ecb\u7ecd\u4e2d\u6211\u4eec\u4f9d\u7136\u53ef\u4ee5\u4f53\u4f1a\u5230\u6ee1\u6ee1\u7684\u5957\u8def\u611f\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u5e76\u4e0d\u6309\u7167\u5e38\u89c4\u5957\u8def\u51fa\u724c\uff0c\u5b83\u4eec\u540c\u6837\u4e5f\u8868\u8fbe\u4e86\u4f4d\u7f6e\u7f16\u7801\u3002<\/p>\n\n\n\n<h3 id=\"CNN\u5f0f\">CNN\u5f0f<\/h3>\n\n\n\n<p>\u5c3d\u7ba1\u7ecf\u5178\u7684\u5c06CNN\u7528\u4e8eNLP\u7684\u5de5\u4f5c<a href=\"https:\/\/arxiv.org\/abs\/1705.03122\" target=\"_blank\" rel=\"noreferrer noopener\">\u300aConvolutional Sequence to Sequence Learning\u300b<\/a>\u5f80\u91cc\u8fb9\u52a0\u5165\u4e86\u4f4d\u7f6e\u7f16\u7801\uff0c\u4f46\u6211\u4eec\u77e5\u9053\u4e00\u822c\u7684CNN\u6a21\u578b\u5c24\u5176\u662f\u56fe\u50cf\u4e2d\u7684CNN\u6a21\u578b\uff0c\u90fd\u662f\u6ca1\u6709\u53e6\u5916\u52a0\u4f4d\u7f6e\u7f16\u7801\u7684\uff0c\u90a3CNN\u6a21\u578b\u7a76\u7adf\u662f\u600e\u4e48\u6355\u6349\u4f4d\u7f6e\u4fe1\u606f\u7684\u5462\uff1f<\/p>\n\n\n\n<p>\u5982\u679c\u8ba9\u7b14\u8005\u6765\u56de\u7b54\uff0c\u90a3\u4e48\u7b54\u6848\u53ef\u80fd\u662f\u5377\u79ef\u6838\u7684\u5404\u9879\u5f02\u6027\u5bfc\u81f4\u4e86\u5b83\u80fd\u5206\u8fa8\u51fa\u4e0d\u540c\u65b9\u5411\u7684\u76f8\u5bf9\u4f4d\u7f6e\u3002\u4e0d\u8fc7ICLR 2020\u7684\u8bba\u6587<a href=\"https:\/\/arxiv.org\/abs\/2001.08248\" target=\"_blank\" rel=\"noreferrer noopener\">\u300aHow Much Position Information Do Convolutional Neural Networks Encode?\u300b<\/a>\u7ed9\u51fa\u4e86\u4e00\u4e2a\u53ef\u80fd\u8ba9\u4eba\u6bd4\u8f83\u610f\u5916\u7684\u7b54\u6848\uff1aCNN\u6a21\u578b\u7684\u4f4d\u7f6e\u4fe1\u606f\uff0c\u662fZero Padding\u6cc4\u6f0f\u7684\uff01<\/p>\n\n\n\n<p>\u6211\u4eec\u77e5\u9053\uff0c\u4e3a\u4e86\u4f7f\u5f97\u5377\u79ef\u7f16\u7801\u8fc7\u7a0b\u4e2d\u7684feature\u4fdd\u6301\u4e00\u5b9a\u7684\u5927\u5c0f\uff0c\u6211\u4eec\u901a\u5e38\u4f1a\u5bf9\u8f93\u5165padding\u4e00\u5b9a\u76840\uff0c\u800c\u8fd9\u7bc7\u8bba\u6587\u663e\u793a\u8be5\u64cd\u4f5c\u5bfc\u81f4\u6a21\u578b\u6709\u80fd\u529b\u8bc6\u522b\u4f4d\u7f6e\u4fe1\u606f\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5377\u79ef\u6838\u7684\u5404\u5411\u5f02\u6027\u56fa\u7136\u91cd\u8981\uff0c\u4f46\u662f\u6700\u6839\u672c\u7684\u662fzero padding\u7684\u5b58\u5728\uff0c\u90a3\u4e48\u53ef\u4ee5\u60f3\u8c61\uff0c\u5b9e\u9645\u4e0a\u63d0\u53d6\u7684\u662f\u5f53\u524d\u4f4d\u7f6e\u4e0epadding\u7684\u8fb9\u754c\u7684\u76f8\u5bf9\u8ddd\u79bb\u3002<\/p>\n\n\n\n<p>\u4e0d\u8fc7\uff0c\u8fd9\u4e2a\u80fd\u529b\u4f9d\u8d56\u4e8eCNN\u7684\u5c40\u90e8\u6027\uff0c\u50cfAttention\u8fd9\u79cd\u5168\u5c40\u7684\u65e0\u5148\u9a8c\u7ed3\u6784\u5e76\u4e0d\u9002\u7528\uff0c\u5982\u679c\u53ea\u5173\u5fc3Transformer\u4f4d\u7f6e\u7f16\u7801\u65b9\u6848\u7684\u8bfb\u8005\uff0c\u8fd9\u5c31\u6743\u5f53\u662f\u6269\u5c55\u4e00\u4e0b\u89c6\u91ce\u5427\u3002<\/p>\n\n\n\n<h3 id=\"\u590d\u6570\u5f0f\">\u590d\u6570\u5f0f<\/h3>\n\n\n\n<p>\u590d\u6570\u5f0f\u4f4d\u7f6e\u7f16\u7801\u53ef\u8c13\u662f\u6700\u7279\u7acb\u72ec\u884c\u7684\u4e00\u79cd\u4f4d\u7f6e\u7f16\u7801\u65b9\u6848\u4e86\uff0c\u5b83\u6765\u81eaICLR 2020\u7684\u8bba\u6587<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/1912.12333\" target=\"_blank\">\u300aEncoding word order in complex embeddings\u300b<\/a>\u3002\u8bba\u6587\u7684\u4e3b\u8981\u601d\u60f3\u662f\u7ed3\u5408\u590d\u6570\u7684\u6027\u8d28\u4ee5\u53ca\u4e00\u4e9b\u57fa\u672c\u539f\u7406\uff0c\u63a8\u5bfc\u51fa\u4e86\u5b83\u7684\u4f4d\u7f6e\u7f16\u7801\u5f62\u5f0f\uff08Complex Order\uff09\u4e3a\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"269\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-44-1024x269.png\" alt=\"\" class=\"wp-image-11893\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-44-1024x269.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-44-300x79.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-44-768x202.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-44.png 1204w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u4ee3\u8868\u8bcdj\u7684\u4e09\u7ec4\u8bcd\u5411\u91cf\u3002\u4f60\u6ca1\u770b\u9519\uff0c\u5b83\u786e\u5b9e\u5047\u8bbe\u6bcf\u4e2a\u8bcd\u6709\u4e09\u7ec4\u8ddf\u4f4d\u7f6e\u65e0\u5173\u7684\u8bcd\u5411\u91cf\u4e86\uff08\u5f53\u7136\u53ef\u4ee5\u6309\u7167\u67d0\u79cd\u5f62\u5f0f\u8fdb\u884c\u53c2\u6570\u5171\u4eab\uff0c\u4f7f\u5f97\u5b83\u9000\u5316\u4e3a\u4e24\u7ec4\u751a\u81f3\u4e00\u7ec4\uff09\uff0c\u7136\u540e\u8ddf\u4f4d\u7f6ek\u76f8\u5173\u7684\u8bcd\u5411\u91cf\u5c31\u6309\u7167\u4e0a\u8ff0\u516c\u5f0f\u8fd0\u7b97\u3002<\/p>\n\n\n\n<p>\u4f60\u4ee5\u4e3a\u5f15\u5165\u591a\u7ec4\u8bcd\u5411\u91cf\u5c31\u662f\u5b83\u6700\u7279\u7acb\u72ec\u884c\u7684\u5730\u65b9\u4e86\uff1f\u5e76\u4e0d\u662f\uff01\u6211\u4eec\u770b\u5230\u5f0f<a href=\"https:\/\/kexue.fm\/archives\/8130#mjx-eqn-eq%3Acomplex\">(11)<\/a>(11)\u8fd8\u662f\u590d\u6570\u5f62\u5f0f\uff0c\u4f60\u731c\u5b83\u63a5\u4e0b\u6765\u600e\u4e48\u7740\uff1f\u5c06\u5b83\u5b9e\u6570\u5316\uff1f\u975e\u4e5f\uff0c\u5b83\u662f\u5c06\u5b83\u76f4\u63a5\u7528\u4e8e\u590d\u6570\u6a21\u578b\uff01\u4e5f\u5c31\u662f\u8bf4\uff0c\u5b83\u8d70\u7684\u662f\u4e00\u6761\u590d\u6570\u6a21\u578b\u8def\u7ebf\uff0c\u4e0d\u4ec5\u4ec5\u8f93\u5165\u7684Embedding\u5c42\u662f\u590d\u6570\u7684\uff0c\u91cc\u8fb9\u7684\u6bcf\u4e00\u5c42Transformer\u90fd\u662f\u590d\u6570\u7684\uff0c\u5b83\u8fd8\u5b9e\u73b0\u548c\u5bf9\u6bd4\u4e86\u590d\u6570\u7248\u7684Fasttext\u3001LSTM\u3001CNN\u7b49\u6a21\u578b\uff01\u8fd9\u7bc7\u6587\u7ae0\u7684\u4e00\u4f5c\u662fBenyou Wang\uff0c\u53ef\u4ee5\u641c\u5230\u4ed6\u7684\u76f8\u5173\u5de5\u4f5c\u57fa\u672c\u4e0a\u90fd\u662f\u56f4\u7ed5\u7740\u590d\u6570\u6a21\u578b\u5c55\u5f00\u7684\uff0c\u53ef\u8c13\u590d\u6570\u6a21\u578b\u7684\u94c1\u6746\u7c89\u4e86\uff5e<\/p>\n\n\n\n<h3 id=\"\u878d\u5408\u5f0f\">\u878d\u5408\u5f0f<\/h3>\n\n\n\n<p>\u65e0\u5076\u72ec\u6709\uff0c\u5229\u7528\u590d\u6570\u7684\u5f62\u5f0f\uff0c\u7b14\u8005\u5176\u5b9e\u4e5f\u6784\u601d\u4e86\u4e00\u79cd\u6bd4\u8f83\u5de7\u7684\u4f4d\u7f6e\u7f16\u7801\uff0c\u5b83\u53ef\u4ee5\u5c06\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u4e0e\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u878d\u4e8e\u4e00\u4f53\uff0c\u5206\u4eab\u5728\u6b64\uff0c\u6709\u5174\u8da3\u7684\u8bfb\u8005\u6b22\u8fce\u4e00\u8d77\u4ea4\u6d41\u7814\u7a76\u3002<\/p>\n\n\n\n<p>\u7b80\u5355\u8d77\u89c1\uff0c\u6211\u4eec\u5148\u5047\u8bbeqm,kn\u662f\u6240\u5728\u4f4d\u7f6e\u5206\u522b\u4e3am,n\u7684\u4e8c\u7ef4\u884c\u5411\u91cf\uff0c\u65e2\u7136\u662f\u4e8c\u7ef4\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u5c06\u5b83\u5f53\u4f5c\u590d\u6570\u6765\u8fd0\u7b97\u3002\u6211\u4eec\u77e5\u9053\uff0cAttention\u5173\u952e\u4e4b\u5904\u5728\u4e8e\u5411\u91cf\u7684\u5185\u79ef\uff0c\u7528\u590d\u6570\u8868\u793a\u4e3a<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"989\" height=\"843\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-45.png\" alt=\"\" class=\"wp-image-11897\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-45.png 989w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-45-300x256.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2023\/01\/image-45-768x655.png 768w\" sizes=\"(max-width: 989px) 100vw, 989px\" \/><\/figure>\n\n\n\n<p>\u6765\u8d4b\u4e88[x,y]\u7edd\u5bf9\u4f4d\u7f6e\u4fe1\u606f\uff0c\u90a3\u4e48\u5728Attention\u8fd0\u7b97\u7684\u65f6\u5019\u4e5f\u7b49\u4ef7\u4e8e\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u3002\u5982\u679c\u662f\u591a\u4e8e\u4e8c\u7ef4\u7684\u5411\u91cf\uff0c\u53ef\u4ee5\u8003\u8651\u6bcf\u4e24\u7ef4\u4e3a\u4e00\u7ec4\u8fdb\u884c\u540c\u6837\u7684\u8fd0\u7b97\uff0c\u6bcf\u4e00\u7ec4\u7684\u03b8\u53ef\u4ee5\u4e0d\u4e00\u6837\u3002<\/p>\n\n\n\n<p>\u8fd9\u6837\u4e00\u6765\uff0c\u6211\u4eec\u5f97\u5230\u4e86\u4e00\u79cd\u878d\u7edd\u5bf9\u4f4d\u7f6e\u4e0e\u76f8\u5bf9\u4f4d\u7f6e\u4e8e\u4e00\u4f53\u7684\u4f4d\u7f6e\u7f16\u7801\u65b9\u6848\uff0c\u4ece\u5f62\u5f0f\u4e0a\u770b\u5b83\u6709\u70b9\u50cf\u4e58\u6027\u7684\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\uff0c\u901a\u8fc7\u5728q,k\u4e2d\u65bd\u884c\u8be5\u4f4d\u7f6e\u7f16\u7801\uff0c\u90a3\u4e48\u6548\u679c\u5c31\u7b49\u4ef7\u4e8e\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\uff0c\u800c\u5982\u679c\u8fd8\u9700\u8981\u663e\u5f0f\u7684\u7edd\u5bf9\u4f4d\u7f6e\u4fe1\u606f\uff0c\u5219\u53ef\u4ee5\u540c\u65f6\u5728v\u4e0a\u4e5f\u65bd\u884c\u8fd9\u79cd\u4f4d\u7f6e\u7f16\u7801\u3002\u603b\u7684\u6765\u8bf4\uff0c\u6211\u4eec\u901a\u8fc7\u7edd\u5bf9\u4f4d\u7f6e\u7684\u64cd\u4f5c\uff0c\u53ef\u4ee5\u8fbe\u5230\u7edd\u5bf9\u4f4d\u7f6e\u7684\u6548\u679c\uff0c\u4e5f\u80fd\u8fbe\u5230\u76f8\u5bf9\u4f4d\u7f6e\u7684\u6548\u679c\uff0c\u521d\u6b65\u5b9e\u9a8c\u663e\u793a\u5b83\u662f\u53ef\u4ee5work\u7684\uff0c\u4f46\u8fd8\u6ca1\u6709\u5145\u5206\u9a8c\u8bc1\uff0c\u6b22\u8fce\u5927\u5bb6\u5c1d\u8bd5\u4ea4\u6d41\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NLP\u4e2d\u7684\u4f4d\u7f6e\u7f16\u7801 \u8f6c\u8f7d\uff1a\u8ba9\u7814\u7a76\u4eba\u5458\u7ede\u5c3d\u8111\u6c41\u7684Transformer\u4f4d\u7f6e\u7f16\u7801 Bert\u95ee\u4e16\u540e\u77ac\u95f4\u5f15\u7206\u4e86NLP\u9886 &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2023\/01\/29\/positional_encoding\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u4f4d\u7f6e\u7f16\u7801\u7cfb\u5217\uff08NLP  and  CV\u9886\u57df\uff09<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[21,4,12],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/11560"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=11560"}],"version-history":[{"count":46,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/11560\/revisions"}],"predecessor-version":[{"id":11899,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/11560\/revisions\/11899"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=11560"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=11560"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=11560"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}