Subventions et des contributions :

Titre :
Fact extraction from organizational corpora
Numéro de l’entente :
EGP
Valeur d'entente :
25 000,00 $
Date d'entente :
7 mars 2018 -
Organisation :
Conseil de recherches en sciences naturelles et en génie du Canada
Location :
Alberta, Autre, CA
Numéro de référence :
GC-2017-Q4-01500
Type d'entente :
subvention
Type de rapport :
Subventions et des contributions
Informations supplémentaires :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Nom légal du bénéficiaire :
Rafiei, Davood (University of Alberta)
Programme :
Subventions d'engagement partenarial pour les universités
But du programme :

Organizational knowledge may be described in terms of facts, relationships and events. This information isx000D
often expressed or shared within an organization in resources such as memos, financial statement, internal andx000D
external postings, bulletin boards, etc. It is not easy to search or process queries over such content. A first stepx000D
toward building a searchable repository of factual organizational knowledge is to effectively collect suchx000D
knowledge from large collections of textual documents. In this project, University of Alberta in partnershipx000D
with DevFacto, a software technology and consulting company in Canada with a base in Edmonton, willx000D
examine the feasibility and the effectiveness of extracting high quality facts and events from organizationalx000D
resources and memos. The work involves putting together a preliminary software system, based on thex000D
literature and resources in public domain as well as those developed at the University of Alberta, and carry outx000D
experiments to evaluate its performance in extracting facts and events from organizational resources, identifiedx000D
or provided by DevFacto. The developed system will feed data to Sparrow, a mobile application developed byx000D
DevFacto, to provide a better search of the organizational knowledge.x000D
Although the proposed project will mostly leverage existing algorithms from the literature, identifying andx000D
combining the algorithms and evaluating them will be conducted in this project. Some of the algorithms mayx000D
also be extended or revised to better work for the particular domain being studied. The project will bex000D
conducted with guidance from industry experts in DevFacto. The project will provide a training environmentx000D
for graduate and undergrad students on topics related to information extraction, event detection and entityx000D
resolution.