Reference number : GC-2017-Q4-01500, amendment number : , agreement type : G, recipient legal name : Rafiei, Davood (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Organizational knowledge may be described in terms of facts, relationships and events. This information is_x000D_
often expressed or shared within an organization in resources such as memos, financial statement, internal and_x000D_
external postings, bulletin boards, etc. It is not easy to search or process queries over such content. A first step_x000D_
toward building a searchable repository of factual organizational knowledge is to effectively collect such_x000D_
knowledge from large collections of textual documents. In this project, University of Alberta in partnership_x000D_
with DevFacto, a software technology and consulting company in Canada with a base in Edmonton, will_x000D_
examine the feasibility and the effectiveness of extracting high quality facts and events from organizational_x000D_
resources and memos. The work involves putting together a preliminary software system, based on the_x000D_
literature and resources in public domain as well as those developed at the University of Alberta, and carry out_x000D_
experiments to evaluate its performance in extracting facts and events from organizational resources, identified_x000D_
or provided by DevFacto. The developed system will feed data to Sparrow, a mobile application developed by_x000D_
DevFacto, to provide a better search of the organizational knowledge._x000D_
Although the proposed project will mostly leverage existing algorithms from the literature, identifying and_x000D_
combining the algorithms and evaluating them will be conducted in this project. Some of the algorithms may_x000D_
also be extended or revised to better work for the particular domain being studied. The project will be_x000D_
conducted with guidance from industry experts in DevFacto. The project will provide a training environment_x000D_
for graduate and undergrad students on topics related to information extraction, event detection and entity_x000D_
resolution., program purpose french : Organizational knowledge may be described in terms of facts, relationships and events. This information is_x000D_
often expressed or shared within an organization in resources such as memos, financial statement, internal and_x000D_
external postings, bulletin boards, etc. It is not easy to search or process queries over such content. A first step_x000D_
toward building a searchable repository of factual organizational knowledge is to effectively collect such_x000D_
knowledge from large collections of textual documents. In this project, University of Alberta in partnership_x000D_
with DevFacto, a software technology and consulting company in Canada with a base in Edmonton, will_x000D_
examine the feasibility and the effectiveness of extracting high quality facts and events from organizational_x000D_
resources and memos. The work involves putting together a preliminary software system, based on the_x000D_
literature and resources in public domain as well as those developed at the University of Alberta, and carry out_x000D_
experiments to evaluate its performance in extracting facts and events from organizational resources, identified_x000D_
or provided by DevFacto. The developed system will feed data to Sparrow, a mobile application developed by_x000D_
DevFacto, to provide a better search of the organizational knowledge._x000D_
Although the proposed project will mostly leverage existing algorithms from the literature, identifying and_x000D_
combining the algorithms and evaluating them will be conducted in this project. Some of the algorithms may_x000D_
also be extended or revised to better work for the particular domain being studied. The project will be_x000D_
conducted with guidance from industry experts in DevFacto. The project will provide a training environment_x000D_
for graduate and undergrad students on topics related to information extraction, event detection and entity_x000D_
resolution., agreement title english : Fact extraction from organizational corpora, agreement title french : Fact extraction from organizational corpora, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada