Contribution: Industrial Research Assistance Program – Contributions to Firms
Microdea Inc
$225,100.00
Machine learning for document classification and information extraction
FY 2019-20 · 2019-05-06
Summary
This project considers the use of machine learning to classify transportation documents and extract information from those documents based on their classification.
Department
Program
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (linked with high confidence)
Recipient
Location
Unionville|Unionville, Ontario, Canada
Recipient Type
For-profit organization
Business Number
875863821
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
Amendments
Each version of the agreement as published, oldest first, with its total as of that version. The amount above is the latest.
| Amendment | Date | Fiscal Year | Total |
|---|---|---|---|
| 0 | 2019-05-06 | 2019-20 | $215,685.00 |
| 1 | 2019-05-06 | 2019-20 | $225,100.00 |
| 2 | 2019-05-06 | 2019-20 | $225,100.00 |
| 3 | 2019-05-06 | 2019-20 | $225,100.00 |
As published
Additional Information
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 21 days. Markham--Thornhill 35055
Additional Information (French)
Cet accord a été modifié 1 fois La date de fin du présent accord a été changé de 21 jours. Markham--Thornhill 35055
Agreement End Date
2020-03-27
Agreement Number
927110
Agreement Start Date
2019-05-06
Agreement Title
Machine learning for document classification and information extraction
Agreement Title (French)
Apprentissage machine pour la classification de documents et l'extraction d'information
Agreement Type
Contribution
Agreement Value
$225,100.00
Amendment Date
2020-03-05
Amendment Number
3
Coverage
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation. | Les projets des Contributions aux entreprises stimulent la création de richesse au Canada grâce à l’innovation technologique.
Description
This project considers the use of machine learning to classify transportation documents and extract information from those documents based on their classification.
Description (French)
Ce projet examine l'utilisation de l'apprentissage machine pour classer les documents de transport et extraire de l'information de ces documents en fonction de leur classification.
Expected Results
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Expected Results (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Federal Riding
Markham--Unionville
Federal Riding (French)
Markham--Unionville
Federal Riding Number
35056
NAICS Code
511211
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Industrial Research Assistance Program – Contributions to Firms
Program Name (French)
Programme d’aide à la recherche industrielle – Contributions aux entreprises
Program Purpose
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Program Purpose (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Recipient Business Number
875863821
Recipient City
Unionville|Unionville
Recipient Country
CA
Recipient Legal Name
Microdea Inc
Recipient Postal Code
L6G 0B5
Recipient Province or Territory
ON
Recipient Type
F
Reference Number
172-2019-2020-Q1-927110
