Fact extraction from organizational corpora

从组织语料库中提取事实

• 批准号: 522032-2017
• 负责人: Rafiei, Davood
• 金额: $ 1.82万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 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=640687
• 关键词: Fact; extraction; organizational; corpora

Organizational knowledge may be described in terms of facts, relationships and events. This information isoften expressed or shared within an organization in resources such as memos, financial statement, internal andexternal postings, bulletin boards, etc. It is not easy to search or process queries over such content. A first steptoward building a searchable repository of factual organizational knowledge is to effectively collect suchknowledge from large collections of textual documents. In this project, University of Alberta in partnershipwith DevFacto, a software technology and consulting company in Canada with a base in Edmonton, willexamine the feasibility and the effectiveness of extracting high quality facts and events from organizationalresources and memos. The work involves putting together a preliminary software system, based on theliterature and resources in public domain as well as those developed at the University of Alberta, and carry outexperiments to evaluate its performance in extracting facts and events from organizational resources, identifiedor provided by DevFacto. The developed system will feed data to Sparrow, a mobile application developed byDevFacto, to provide a better search of the organizational knowledge.Although the proposed project will mostly leverage existing algorithms from the literature, identifying andcombining the algorithms and evaluating them will be conducted in this project. Some of the algorithms mayalso be extended or revised to better work for the particular domain being studied. The project will beconducted with guidance from industry experts in DevFacto. The project will provide a training environmentfor graduate and undergrad students on topics related to information extraction, event detection and entityresolution.

组织知识可以用事实、关系和事件来描述。这些信息通常在组织内部的资源中表达或共享，如备忘录、财务报表、内部和外部公告、公告板等。建立一个可搜索的事实组织知识库的第一步是有效地从大量的文本文档中收集这些知识。在这个项目中，阿尔伯塔大学与DevFacto合作，DevFacto是一家位于加拿大埃德蒙顿的软件技术和咨询公司，将评估从组织资源和备忘录中提取高质量事实和事件的可行性和有效性。这项工作涉及把一个初步的软件系统，在公共领域的文献和资源的基础上，以及在阿尔伯塔大学开发的，并进行了实验，以评估其性能提取事实和事件从组织资源，确定或提供DevFacto。开发的系统将提供数据的麻雀，一个移动的应用程序开发的DevFacto，提供一个更好的搜索的组织knowledge.Although拟议的项目将主要利用现有的算法从文献中，识别和组合的算法，并评估他们将在这个项目中进行。一些算法也可能被扩展或修改，以更好地为正在研究的特定领域工作。该项目将在DevFacto行业专家的指导下进行。该项目将为研究生和本科生提供一个培训环境，主题涉及信息提取、事件检测和实体解析。