Combining Compositional Semantics Modules

组合组合语义模块

• 批准号: RGPIN-2014-05228
• 负责人: Bergler, Sabine
• 金额: $ 2.33万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635059
• 关键词: Combining; Compositional; Semantics; Modules

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.

2008 年圣地亚哥的麻疹病例表明，对疫苗接种的厌恶对高流动性人群来说是一个日益严重的威胁 (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，目前正在调查提高依从性的方法，包括麦吉尔大学 CIHR 资助的一个项目，该项目研究博客中避免接种疫苗的原因，努力通过信息活动来抵消它们（疫苗情绪本体论 http://surveillance.mcgill.ca/projects_theme.php?theme=3）。这只是众多重要问题之一 使用互联网或社交媒体上免费提供的文本进行解决。文本处理是一个指数级增长的领域，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：如果您不小心删除了一半文本，那么您已经处理了它。如果剩下的一半有你想要的信息，那么你就总结成功了。但是，如果要开发能够在未经训练的各种文本上正常工作的通用文本处理管道，则需要语言的复杂性，这通常会导致高度复杂的处理环境。因为查看比以前更多文档的新方法是探索和发现的标志，所以我们正在研究这样的处理管道，并希望将其稳健性和性能增强为轻量级、可重新配置的基线文本分析开源工具包，可供那些本身不具备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，并且我们设计的是与各种已发布的模块的互操作性，而不是提出我们自己的整体处理环境。