“QA test”版本间的差异
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(相同用户的2个中间修订版本未显示) | |||
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* SEMPRE (QA toolkit) [http://www-nlp.stanford.edu/software/sempre/] | * SEMPRE (QA toolkit) [http://www-nlp.stanford.edu/software/sempre/] | ||
* Z-MERT[http://www.cs.jhu.edu/~ozaidan/zmert/] | * Z-MERT[http://www.cs.jhu.edu/~ozaidan/zmert/] | ||
+ | * templatemaker[https://github.com/paulsmith/templatemaker] | ||
+ | :*可以从一堆输入样板句子中提取他们的不变部分,然后利用模板可以做匹配检查,成分提取等。对清理Web数据,简单的模式学习超级有用 | ||
+ | * SPMF: A Java Open-Source Pattern Mining Library | ||
+ | :* SPMF is a cross-platform library implemented in Java, specialized for discovering patterns in transaction and sequence databases such as frequent itemsets, association rules and sequential patterns.clustering. | ||
==Paper== | ==Paper== | ||
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:* 垂直知识图谱工具与应用[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/%E5%9E%82%E7%9B%B4%E7%9F%A5%E8%AF%86%E5%9B%BE%E8%B0%B1%E5%B7%A5%E5%85%B7%E4%B8%8E%E5%BA%94%E7%94%A810%E6%9C%8816%E6%97%A5.pdf] | :* 垂直知识图谱工具与应用[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/%E5%9E%82%E7%9B%B4%E7%9F%A5%E8%AF%86%E5%9B%BE%E8%B0%B1%E5%B7%A5%E5%85%B7%E4%B8%8E%E5%BA%94%E7%94%A810%E6%9C%8816%E6%97%A5.pdf] | ||
:* 知识图谱:大数据语义链接的基石[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c6/%E7%9F%A5%E8%AF%86%E5%9B%BE%E8%B0%B1%EF%BC%9A%E5%A4%A7%E6%95%B0%E6%8D%AE%E8%AF%AD%E4%B9%89%E9%93%BE%E6%8E%A5%E7%9A%84%E5%9F%BA%E7%9F%B3-%E6%9D%8E%E6%B6%93%E5%AD%90_%281%29.pdf] | :* 知识图谱:大数据语义链接的基石[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c6/%E7%9F%A5%E8%AF%86%E5%9B%BE%E8%B0%B1%EF%BC%9A%E5%A4%A7%E6%95%B0%E6%8D%AE%E8%AF%AD%E4%B9%89%E9%93%BE%E6%8E%A5%E7%9A%84%E5%9F%BA%E7%9F%B3-%E6%9D%8E%E6%B6%93%E5%AD%90_%281%29.pdf] | ||
+ | :* Ontology Reasoning for the Semantic Web and Its Application to Knowledge Graph[] | ||
==huilan== | ==huilan== |
2014年12月29日 (一) 04:02的最后版本
Laboratory
Tool
- 可以从一堆输入样板句子中提取他们的不变部分,然后利用模板可以做匹配检查,成分提取等。对清理Web数据,简单的模式学习超级有用
- SPMF: A Java Open-Source Pattern Mining Library
- SPMF is a cross-platform library implemented in Java, specialized for discovering patterns in transaction and sequence databases such as frequent itemsets, association rules and sequential patterns.clustering.
Paper
- 2014-10-08:qa
- 2014-08-22-qalr
- search in ML
- 知识图谱