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摘要: 把实验室的几台工作站全部换成Ubuntu之后,第一个要解决的就是win系统上使用打印机共享问题。上网搜了下,结果install的时候发现cupsys没有了,在search了一下后,发现有个叫cupsys-driver-gutenprint的东东,描述是Transitional package,估计暂时用这个包代替了。再搜了下,了解了一些信息:Gutenprintwas formerly calledGimp-Print。有许多高级特性参见此:http://gutenprint.sourceforge.net/index.php咱们的目的就是能使用上打印机,开工~第一步先安装一个cupsys:a阅读全文
posted @ 2012-03-01 17:12 牛皮糖NewPtone 阅读(4117) 评论(0) 编辑
摘要: Chapter8 Analyzing Sentence Structure 分析句子结构 Earlier chapters focused on words: how to identify them, analyze their structure, assign them to lexical categories, and access their meanings. We have also seen how to identify patterns in word sequences or n-grams. However, these methods only scratch ..阅读全文
posted @ 2012-02-09 20:21 牛皮糖NewPtone 阅读(1984) 评论(3) 编辑
摘要: 7.8Further Reading Extra materials for this chapter are posted at http://www.nltk.org/, including links to freely available resources on the web. For more examples of chunking with NLTK, please see the Chunking HOWTO at http://www.nltk.org/howto. The popularity of chunking is due in great part to ..阅读全文
posted @ 2012-02-09 20:07 牛皮糖NewPtone 阅读(410) 评论(0) 编辑
摘要: 7.9Exercises 练习 ☼ The IOB format categorizes tagged tokens as I, O and B. Why are three tags necessary? What problem would be caused if we used I and O tags exclusively? ☼ Write a tag pattern to match noun phrases containing plural head nouns, e.g. "many/JJ researchers/NNS",...阅读全文
posted @ 2012-02-09 20:07 牛皮糖NewPtone 阅读(1488) 评论(2) 编辑
摘要: 7.7Summary 小结 Information extraction systems search large bodies of unrestricted text for specific types of entities and relations, and use them to populate well-organized databases. These databases can then be used to find answers for specific questions. The typical architecture...阅读全文
posted @ 2012-02-09 20:06 牛皮糖NewPtone 阅读(567) 评论(0) 编辑
摘要: 7.6Relation Extraction 关系抽取 Once named entities have been identified in a text, we then want to extract the relations that exist between them. As indicated earlier, we will typically be looking for relations between specified types of named entity. One way of approaching this task is to initially l.阅读全文
posted @ 2012-02-02 20:27 牛皮糖NewPtone 阅读(2067) 评论(0) 编辑
摘要: 7.5Named Entity Recognition 命名实体识别 At the start of this chapter, we briefly introduced named entities (NEs). Named entities are definite(确定的) noun phrases that refer to specific types of individuals, such as organizations, persons, dates, and so on(命名实体是明确的名词短语,指的是个体的具体类型,例如组织,个人,日期等等). Table 7.4 l.阅读全文
posted @ 2012-01-11 16:24 牛皮糖NewPtone 阅读(5968) 评论(0) 编辑
摘要: 马上就要2012年了,总结2011这一年里所学到的,所经历的,所感受的,用一句话概括:放下浮躁的心,去追逐梦想。也祝各位朋友新年快乐!阅读全文
posted @ 2011-12-31 23:50 牛皮糖NewPtone 阅读(303) 评论(2) 编辑
摘要: 对象存储系统Swift技术详解:综述与概念 OpenStack Object Storage (Swift)是用来创建冗余的、可扩展的对象存储(引擎)的开源软件。通过阅读Swift的技术文档,我们可以理解其中的设计的原理和实现的方法。 Swift项目已经进展有两年了,对外开放也一年有余,在国外的社区你可以获得许多帮助,但在国内只能找到一些零零散散不齐全的资料,许多人更喜欢坐享其成,而不是参与其中。本人于9月底开始接触swift,刚开始看文档的时候一知半解,有幸阅读了zzcase等人的博客,才得以入门。非常赞同郑烨在某本书序言中所说的话:“翻译向来是一件费力不讨好的事情。”。本人本着知识...阅读全文
posted @ 2011-12-06 18:53 牛皮糖NewPtone 阅读(23127) 评论(9) 编辑
摘要: 7.4 Recursion in Linguistic Structure 语言结构中的递归Building Nested Structure with Cascaded Chunkers 用逐位分块器构建嵌套结构So far, our chunk structures have been relatively flat. Trees consist of tagged tokens, optionally grouped under a chunk node such as NP. However, it is possible to build chunk structures of ar阅读全文
posted @ 2011-11-12 09:16 牛皮糖NewPtone 阅读(928) 评论(0) 编辑
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