Luc Lamontagne, Université Laval

Research

Read how they describe their research on their Université Laval profile.

Sciences naturelles Informatique et systèmes d'information Intelligence artificielle (IA)Traitement du langage naturel Apprentissage machine

Latest funding

Overcoming Data Scarcity in Natural Language Processing for Industrial Applications through Knowledge Engineering and Reasoning
NSERC · 2023 · Co-investigator
$275,167
Development of new methods for the joint modeling of longitudinal and survival data with applications in finance and insurance
NSERC · 2020 · Co-investigator
$191,840
Learning a taxonomy of job market skills from textual resources
NSERC · 2018 · Principal investigator
$25,000

All 11 grants and awards

No publications available.

Overcoming Data Scarcity in Natural Language Processing for Industrial Applications through Knowledge Engineering and Reasoning

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Nie, Jian-Yun JY

Keywords: conversational agent; information extraction; information retrieval; knowledge extraction; knowledge modeling; natural language processing; question answering; reasoning

$275,167

Development of new methods for the joint modeling of longitudinal and survival data with applications in finance and insurance

Co-investigatorNSERC2020Alliance Grants

Principal investigators: Duchesne, Thierry T

Keywords: casualty insurance; complex networks; consumer retention; event history analysis; fairness and equity; financial autonomy; joint modeling; longitudinal data; missing data; natural language processing

$191,840

Learning a taxonomy of job market skills from textual resources

Principal investigatorNSERC2018Engage Grants Program

Principal investigators: Lamontagne, Luc

$25,000

Gestion des connaissances d'un système de question-réponse pour le domaine des villes intelligentes

Principal investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Lamontagne, Luc

$73,043

Extraction automatique d'informations provenant de sources externes pour faciliter les demandes de soumission d'assurance

Principal investigatorNSERC2017Engage Grants Program

Principal investigators: Lamontagne, Luc

$25,000

Assistant intelligent de recherche incrémentale

Co-investigatorNSERC2017Collaborative Research and Development Grants

Principal investigators: Khoury, Richard

$69,566

Big data analytics in insurance

Co-investigatorNSERC2017Collaborative Research and Development Grants

Principal investigators: Badard, Thierry T

$1,608,692

LiDAR, traitement haute-résolution, algorithme de 2e ordre, pistage de cibles, classification de cibles

Co-investigatorNSERC2015Collaborative Research and Development Grants

Principal investigators: Grenier, Dominic

$77,700

An intelligent virtual assistant framework based on adaptive question answering and machine learning

Principal investigatorNSERC2012Department of National Defence / NSERC Research Partnership

Principal investigators: Lamontagne, Luc

$65,216

Case-based reasoning for making decisions in dynamic game environments

Principal investigatorNSERC2009Discovery Grants Program - Individual

Principal investigators: Lamontagne, Luc

$95,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

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Applying for

Subject: Prospective PhD student: Sciences naturelles Dear Professor Lamontagne, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on sciences naturelles connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]