{"id":2701,"date":"2025-03-15T15:28:00","date_gmt":"2025-03-15T07:28:00","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=2701"},"modified":"2025-03-16T04:46:25","modified_gmt":"2025-03-15T20:46:25","slug":"202503%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb%e6%b1%87%e6%8a%a5ppt-24%e7%ba%a7%e7%8e%8b%e6%85%a7-202503%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-a-prompt-engineering-approach-for-structured-data-extraction","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202503%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb%e6%b1%87%e6%8a%a5ppt-24%e7%ba%a7%e7%8e%8b%e6%85%a7-202503%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-a-prompt-engineering-approach-for-structured-data-extraction\/","title":{"rendered":"202503\u8bba\u6587\u7814\u8bfb\u6c47\u62a5PPT–24\u7ea7\u738b\u6167–202503\u8bba\u6587\u7814\u8bfb-A Prompt Engineering Approach for Structured Data Extraction from Unstructured Text Using Conversational LLMs"},"content":{"rendered":"\n

\u4f5c\u8005\uff1aAishwarya, Vijayan
\u5355\u4f4d\uff1aDepartment of Computer Science, University of Illinois Chicago
\u53d1\u8868\u65e5\u671f\uff1a2023.12
\u6765\u6e90: ACM<\/p>\n\n\n\n

\u4e00\u3001\u8bba\u6587\u4ecb\u7ecd<\/h2>\n\n\n\n

\u80cc\u666f\u52a8\u673a\uff1a<\/strong><\/p>\n\n\n\n

1.\u975e\u7ed3\u6784\u5316\u6587\u672c\u7684\u6311\u6218\uff1a\u5927\u91cf\u7535\u5b50\u90ae\u4ef6\u3001\u793e\u4ea4\u5a92\u4f53\u548c\u6587\u6863\u7f3a\u4e4f\u7edf\u4e00\u683c\u5f0f\uff0c\u96be\u4ee5\u5b58\u50a8\u548c\u67e5\u8be2\u3002<\/p>\n\n\n\n

2.\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u63d0\u4f9b\u7684\u65b0\u673a\u9047\uff1aLLMs \u5177\u5907\u5f3a\u5927\u7684\u4fe1\u606f\u63d0\u53d6\u80fd\u529b\uff0c\u7ed3\u5408 Prompt Engineering \u53ef\u63d0\u9ad8\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n

3.\u4fe1\u606f\u7ed3\u6784\u5316\u7684\u4ef7\u503c\uff1a\u5c06\u975e\u7ed3\u6784\u5316\u6587\u672c\u8f6c\u6362\u4e3a\u7ed3\u6784\u5316\u6570\u636e\uff0c\u63d0\u5347\u4fe1\u606f\u7ba1\u7406\u548c\u67e5\u8be2\u5206\u6790\u7684\u6548\u7387\u3002<\/p>\n\n\n\n

\u7814\u7a76\u76ee\u6807:<\/strong><\/p>\n\n\n\n

\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8ePrompt Engineering\u7684LLM\u65b9\u6cd5\uff0c\u7528\u4e8e\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\uff08\u5982\u7535\u5b50\u90ae\u4ef6\uff09\u4e2d\u63d0\u53d6\u65c5\u884c\u4fe1\u606f\uff08\u5982\u65c5\u884c\u8005\u3001\u51fa\u53d1\u5730\u3001\u76ee\u7684\u5730\u3001\u65f6\u95f4\u7b49\uff09\uff0c\u5e76\u5b58\u5165\u5173\u7cfb\u6570\u636e\u5e93\u4ee5\u652f\u6301SQL\u67e5\u8be2\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u6838\u5fc3\u5185\u5bb9 <\/h2>\n\n\n\n

\u4fe1\u606f\u63d0\u53d6\u6a21\u578b\u67b6\u6784\uff1a<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

1.\u6807\u51c6prompt<\/strong><\/p>\n\n\n\n

\u76f4\u63a5\u8f93\u5165\u5b8c\u6574\u90ae\u4ef6 + \u9884\u8bbe\u6307\u4ee4\uff0c\u8ba9 LLM \u63d0\u53d6\u65c5\u884c\u4fe1\u606f\u3002<\/p>\n\n\n\n


\u95ee\u9898\uff1a
\u5bb9\u6613\u9057\u6f0f\u5173\u952e\u4fe1\u606f\uff0cChatGPT \u751a\u81f3\u751f\u6210\u5e7b\u89c9\u6570\u636e\u3002
\u63d0\u53d6\u51fa\u7684\u6570\u636e\u4e2d\uff0c\u7f3a\u5c11\u51fa\u53d1\u65f6\u95f4\u3001\u5230\u8fbe\u65f6\u95f4\u7b49\u591a\u4e2a\u5b57\u6bb5\uff0c\u4ec5\u90e8\u5206\u4fe1\u606f\u6b63\u786e\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

2.\u8fed\u4ee3\u4f18\u5316 Prompt<\/strong><\/p>\n\n\n\n

\u901a\u8fc7 \u591a\u8f6e\u4ea4\u4e92\u4f18\u5316 Prompt\uff0c\u9010\u6b65\u6539\u5584\u63d0\u53d6\u7ed3\u679c\uff0c\u51cf\u5c11\u9057\u6f0f\u4fe1\u606f\u3002<\/p>\n\n\n\n


\u76f8\u6bd4\u6807\u51c6 Prompt\uff1a
\u6807\u51c6 Prompt \u53ea\u80fd\u8fdb\u884c\u5355\u6b21\u63d0\u53d6\uff0c\u53ef\u80fd\u9057\u6f0f\u5173\u952e\u4fe1\u606f\uff0c\u800c\u8fed\u4ee3\u4f18\u5316 Prompt \u4e0d\u65ad\u8c03\u6574\u6307\u4ee4\uff0c\u76f4\u5230\u63d0\u53d6\u5b8c\u6574\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

3.\u601d\u7ef4\u94fe Prompt<\/strong><\/p>\n\n\n\n

\u91c7\u7528\u9010\u6b65\u63a8\u7406\u65b9\u5f0f\uff0c\u5f15\u5bfc LLM \u6309\u903b\u8f91\u62c6\u89e3\u95ee\u9898\uff0c\u51cf\u5c11\u9057\u6f0f\u4fe1\u606f\u3002<\/p>\n\n\n\n


\u4f18\u52bf\uff1a
\u6bd4\u6807\u51c6 Prompt \u63d0\u53d6\u66f4\u5b8c\u6574\u7684\u4fe1\u606f\uff0c\u4f46\u4ecd\u53ef\u80fd\u9057\u6f0f\u90e8\u5206\u5b57\u6bb5\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

4.Persona Prompt\uff08\u89d2\u8272\u8bbe\u5b9a\u63d0\u793a\uff09<\/strong><\/p>\n\n\n\n

\u8ba9 LLM \u6309\u7167\u7279\u5b9a\u8eab\u4efd\u8fdb\u884c\u4fe1\u606f\u63d0\u53d6\uff0c\u63d0\u9ad8\u8f93\u51fa\u7684\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\u548c\u4e00\u81f4\u6027\u3002\u9002\u7528\u4e8e\u9700\u8981\u4e13\u4e1a\u5224\u65ad\u7684\u4efb\u52a1\uff0c\u5982\u533b\u7597\u3001\u6cd5\u5f8b\u3001\u8d22\u52a1\u7b49\u9886\u57df\u7684\u4fe1\u606f\u63d0\u53d6\u3002<\/p>\n\n\n\n


\u4f18\u52bf\uff1a
\u80fd\u66f4\u597d\u5730\u7406\u89e3\u4e0a\u4e0b\u6587\uff0c\u51cf\u5c11\u8bef\u63d0\u53d6<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4e09\u3001\u5b9e\u9a8c\u8bc4\u4f30<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u4e0d\u540c Prompt \u65b9\u6cd5\u5bf9\u4fe1\u606f\u63d0\u53d6\u6548\u679c\u7684\u5f71\u54cd
\u8fed\u4ee3\u4f18\u5316 Prompt \u53d6\u5f97\u6700\u9ad8 F1-score\uff080.86\uff09\uff0c\u5728 Recall \u548c Precision \u4e4b\u95f4\u5b9e\u73b0\u6700\u4f73\u5e73\u8861\u3002<\/p>\n\n\n\n

\u56db\u3001\u603b\u7ed3\u601d\u8003<\/h2>\n\n\n\n

\u8bba\u6587\u603b\u7ed3\uff1a<\/strong><\/p>\n\n\n\n

1.\u7814\u7a76\u63a2\u7d22\u4e86\u4e0d\u540c Prompt \u65b9\u6cd5\u5bf9 LLM \u8fdb\u884c\u7ed3\u6784\u5316\u4fe1\u606f\u63d0\u53d6\u7684\u5f71\u54cd\u3002<\/p>\n\n\n\n

2.\u6807\u51c6 Prompt \u6613\u9057\u6f0f\u5173\u952e\u4fe1\u606f\uff0cPersona Prompt \u53ec\u56de\u7387\u9ad8\u4f46\u8bef\u63d0\u53d6\u591a\uff0c\u601d\u7ef4\u94fe Prompt \u63d0\u5347\u4e86\u7cbe\u51c6\u5ea6\uff0c\u4f46 Recall \u4ecd\u4e0d\u8db3\u3002<\/p>\n\n\n\n

3.\u8fed\u4ee3\u4f18\u5316 Prompt\uff08Iterative\uff09\u901a\u8fc7\u591a\u8f6e\u4ea4\u4e92\u4f18\u5316\uff0cF1-score \u6700\u9ad8\uff080.86\uff09\uff0c\u662f\u6700\u4f18\u65b9\u6cd5\u3002<\/p>\n\n\n\n

\u542f\u53d1\u601d\u8003\uff1a<\/strong><\/p>\n\n\n\n

1.Prompt \u8bbe\u8ba1\u5bf9\u6570\u636e\u9884\u5904\u7406\u8d28\u91cf\u81f3\u5173\u91cd\u8981\uff1a
\u5728 RAG \u9884\u5904\u7406\u4e2d\uff0c\u5408\u7406\u7684 Prompt \u8bbe\u8ba1\u53ef\u4ee5\u4f18\u5316\u77e5\u8bc6\u5e93\u6570\u636e\u63d0\u53d6\uff0c\u63d0\u9ad8\u6570\u636e\u8d28\u91cf\uff0c\u4ece\u800c\u51cf\u5c11\u540e\u7eed\u6df1 \u5ea6\u601d\u8003\u548c\u63a8\u7406\u7684\u8ba1\u7b97\u6210\u672c\u3002<\/p>\n\n\n\n

2.\u8fed\u4ee3\u4f18\u5316 Prompt \u9002\u7528\u4e8e\u77e5\u8bc6\u5e93\u6570\u636e\u6e05\u6d17\u4e0e\u683c\u5f0f\u5316\uff1a
\u53ef\u4ee5\u91c7\u7528\u52a8\u6001 Prompt \u8fed\u4ee3\u4f18\u5316\u673a\u5236\uff0c\u9010\u6b65\u4fee\u6b63\u6570\u636e\u63d0\u53d6\u7ed3\u679c\uff0c\u786e\u4fdd\u77e5\u8bc6\u5e93\u4e2d\u7684\u6570\u636e\u66f4\u52a0\u5b8c\u6574\u3001\u7cbe\u51c6\uff0c\u8fdb\u800c\u63d0\u5347 RAG \u7684\u68c0\u7d22\u6548\u679c\u3002<\/p>\n\n\n\n

3.\u601d\u7ef4\u94fe Prompt \u9002\u7528\u4e8e\u77e5\u8bc6\u5e93\u7684\u5206\u5c42\u63d0\u53d6\u7b56\u7565\uff1a
\u601d\u7ef4\u94fe\uff08Chain of Thought\uff09Prompt \u91c7\u7528\u9010\u6b65\u63a8\u7406\uff0c RAG \u77e5\u8bc6\u5e93\u6784\u5efa\u4e2d\u53ef\u7528\u4e8e\u5148\u63d0\u53d6\u5173\u952e\u4fe1\u606f\uff0c\u518d\u8fdb\u884c\u4e0a\u4e0b\u6587\u5173\u8054\uff0c\u6700\u7ec8\u751f\u6210\u7ed3\u6784\u5316\u6570\u636e\uff0c\u4ee5\u63d0\u9ad8\u77e5\u8bc6\u5e93\u8d28\u91cf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u4f5c\u8005\uff1aAishwarya, Vijayan\u5355\u4f4d\uff1aDepartment of Computer Science, […]<\/p>\n","protected":false},"author":67,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2701","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2701","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/users\/67"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=2701"}],"version-history":[{"count":1,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2701\/revisions"}],"predecessor-version":[{"id":2711,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2701\/revisions\/2711"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=2701"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=2701"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=2701"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}