Combining Compositional Semantics Modules

在高流动性人群中，厌恶接种疫苗是一种日益严重的威胁，2008年圣地亚哥的麻疹病例证明了这一点（http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5708a3.htm）。可避免的疫情爆发的社会和经济成本非常高，目前正在调查改善依从性的方法，包括在麦吉尔进行的一个由cihr资助的项目，该项目研究博客中避免接种疫苗的原因，以努力通过信息运动来抵消它们（疫苗情绪本体http://surveillance.mcgill.ca/projects_theme.php?theme=3）.**This只是使用互联网或社交媒体上免费提供的文本解决的许多重要问题之一。文本处理是一个呈指数级增长的领域，许多人加入其中，但并非所有人都配备了必要的工具。任何人都可以处理文本：如果你不小心删除了一半的文本，你已经处理了它。如果剩下的那一半碰巧包含了你想要的信息，那么你就成功地总结了。但是，如果要开发通用文本处理管道，使其在未经训练的各种文本上可以很好地工作，通常会导致高度复杂的处理环境，则需要语言的复杂性。因为查看比以前更多的文档的新方法是探索和发现的标志，我们正在研究这样的处理管道，并希望将它们的健壮性和性能增强为轻量级的、可重构的基线文本分析开源工具包，可以被自己没有这种程度的语言洞察力的应用程序构建者利用。我们的努力加入了越来越多的开源模块，我们为与各种已经发布的模块的互操作性而设计，而不是提出我们自己的单片处理环境。

Vaccination aversion is a growing threat in highly mobile populations as a case of measles in San Diego in 2008 demonstrates (http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5708a3.htm). The social and economic cost of avoidable outbreaks is very high and means to improve compliance are under current investigation, including a CIHR-funded project at McGill which studies reasons for vaccine avoidance in blogs in an effort to counteract them through information campaigns (Vaccine Sentiment Ontology http://surveillance.mcgill.ca/projects_theme.php?theme=3).**This is only one of the many important issues addressed using text freely available on the internet or on social media. Text processing is an exponential growth area and many join in, not all equipped with essential tools. Anybody can process text: if you accidentally delete half the text, you have processed it. If, per chance, this remaining half has desired information in it, you have summarized successfully. But linguistic sophistication is required if one is to develop general text processing pipelines that work predictably well on a wide variety of texts not trained on, usually leading to highly complex processing environments. Because new ways of looking at more documents than before is the hallmark of exploration and discovery, we are working on just such processing pipelines and hope to strengthen their robustness and their performance into a light-weight, reconfigurable open-source kit of baseline text analysis, that can be harnessed by application builders who do not themselves have this degree of linguistic insight. Our efforts join a growing number of open source modules and we design for interoperability with a variety of already released modules, rather than proposing our own monolithic processing environment.