Grant: Alliance Grants
Université de Montréal
$275,167.00
Overcoming Data Scarcity in Natural Language Processing for Industrial Applications through Knowledge Engineering and Reasoning
EF 2024-25
Résumé
Natural Language Processing (NLP) is a field of artificial intelligence devoted to making computers handle tasks where natural language (like English or French) is a key part, for instance search engines and chatbots. As seen recently with ChatGPT, many modern NLP approaches require substantial amounts of text data to create powerful models. This research project investigates novel approaches for NLP in the quite common scenario where this data is scarce, but where knowledge engineering and reasoning can alleviate the problem of discovering powerful and efficient algorithms. The strategies developed will tackle knowledge extraction from text, modeling knowledge and reasoning on it, and economically important applications, notably in the fields of automated question answering and chatbots. At this pivotal moment of commercialization of large language models (LLMs), our industry partners will thus be able to improve the quality of their services, contribute to Canada's economic development, and remain competitive internationally.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
592418-2023
Name nom
Nie, Jian-Yun JY
Department département
Informatique et recherche opérationnelle
Organization id
63
Institution établissement
Université de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
275167
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2801
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Natural language and speech understanding
Research subject fr
Langage naturel et reconnaissance de la parole
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Overcoming Data Scarcity in Natural Language Processing for Industrial Applications through Knowledge Engineering and Reasoning
Keywords
conversational agent; information extraction; information retrieval; knowledge extraction; knowledge modeling; natural language processing; question answering; reasoning
Application summary
Natural Language Processing (NLP) is a field of artificial intelligence devoted to making computers handle tasks where natural language (like English or French) is a key part, for instance search engines and chatbots. As seen recently with ChatGPT, many modern NLP approaches require substantial amounts of text data to create powerful models. This research project investigates novel approaches for NLP in the quite common scenario where this data is scarce, but where knowledge engineering and reasoning can alleviate the problem of discovering powerful and efficient algorithms. The strategies developed will tackle knowledge extraction from text, modeling knowledge and reasoning on it, and economically important applications, notably in the fields of automated question answering and chatbots. At this pivotal moment of commercialization of large language models (LLMs), our industry partners will thus be able to improve the quality of their services, contribute to Canada's economic development, and remain competitive internationally.