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og:image:alt该仓库主要记录 NLP 算法工程师相关的面试题. Contribute to xebin/NLP-Interview-Notes development by creating an account on GitHub.
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https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#一原理篇
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#11-什么是事件
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#12-什么是事件抽取
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https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#14-事件抽取怎么发展的
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https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#21-触发词检测
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#211-什么是触发词检测
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#212-触发词检测有哪些方法
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#22-类型识别
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#221-什么是类型识别
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#222-类型识别有哪些方法
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#23-角色识别
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#231-什么是角色识别
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#232-角色识别有哪些方法
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#24-论元检测
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#241-什么是论元检测
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#242-论元检测有哪些方法
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#三常见方法篇
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#31-模式匹配方法怎么用在事件抽取中
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https://catalog.ldc.upenn.edu/LDC2006T06https://catalog.ldc.upenn.edu/LDC2006T06
https://www.aclweb.org/old_anthology/W/W15/W15-0812.pdfhttps://www.aclweb.org/old_anthology/W/W15/W15-0812.pdf
https://tac.nist.gov//2015/KBP/Event/index.htmlhttps://tac.nist.gov//2015/KBP/Event/index.html
https://tac.nist.gov/2017/KBP/https://tac.nist.gov/2017/KBP/
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#42-事件抽取中常见的中文数据集有哪些
https://catalog.ldc.upenn.edu/LDC2006T06https://catalog.ldc.upenn.edu/LDC2006T06
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https://github.com/shijiebei2009/CEEC-Corpushttps://github.com/shijiebei2009/CEEC-Corpus
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https://github.com/HughWen/wen_spidershttps://github.com/HughWen/wen_spiders
https://github.com/zjy-ucas/ChineseNERhttps://github.com/zjy-ucas/ChineseNER
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#七拓展篇
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#71-事件抽取论文综述
https://doi.org/10.11896/j.issn.1002-137X.2019.08.002https://doi.org/10.11896/j.issn.1002-137X.2019.08.002
http://ceur-ws.org/Vol-779/derive2011_submission_1.pdfhttp://ceur-ws.org/Vol-779/derive2011_submission_1.pdf
https://doi.org/10.1109/ACCESS.2019.2956831https://doi.org/10.1109/ACCESS.2019.2956831
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https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#72-事件抽取常见问题
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https://camo.githubusercontent.com/95903126a4bba23e09218b3dcbbdbeca283801a1a0d40eab0898f5a6633df842/68747470733a2f2f692e6c6f6c692e6e65742f323032312f30322f31302f724a6c33564b594748384f6f4e39532e706e67
https://camo.githubusercontent.com/aadc6f60ce40ab981b4c44e71d8c5874cbb9568d9feb6fcf661a3a197903b3a5/68747470733a2f2f692e6c6f6c692e6e65742f323032312f30322f31302f396870574144746e4e62543364674a2e706e67
https://camo.githubusercontent.com/219572d5d5b70b9ca48d1a910babf9db7e4cdd8aec901cd525a1a03ebc2183cc/68747470733a2f2f692e6c6f6c692e6e65742f323032312f30322f31302f3975796658376d4c3649624d4868652e706e67
https://www.github.com/xebin/NLP-Interview-Notes/blob/main/NLPinterview/EventExtraction#参考资料
https://github.com/xiaoqian19940510/Event-Extractionhttps://github.com/xiaoqian19940510/Event-Extraction
https://blog.csdn.net/weixin_42691585/article/details/106025951https://blog.csdn.net/weixin_42691585/article/details/106025951
https://www.sohu.com/a/156430929_500659https://www.sohu.com/a/156430929_500659
https://www.cnblogs.com/cyandn/p/10915394.htmlhttps://www.cnblogs.com/cyandn/p/10915394.html
https://blog.csdn.net/feng_zhiyu/article/details/80246690https://blog.csdn.net/feng_zhiyu/article/details/80246690
https://baijiahao.baidu.com/s?id=1639726139800018430&wfr=spider&for=pchttps://baijiahao.baidu.com/s?id=1639726139800018430&wfr=spider&for=pc
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URLs of crawlers that visited me.