Learning Construction Grammars from Semantically Annotated Corpora or Situated Communicative Interactions

Learning Construction Grammars from Semantically Annotated Corpora or Situated Communicative Interactions

The primary aim of this project is to investigate how construction grammars can be learned by a computational system, based on either semantically annotated corpora or communicative interactions in situated tutor-learner scenarios. If successful, the outcome of this project will constitute a major breakthrough in the field of construction grammar, as it would for the first time provide a computational model of how conventionalised form-meaning mappings (constructions) that support language comprehension and production can be constructed in a usage-based fashion. Such a model has the potential to significantly enhance the performance of a wide variety of language technology applications and meaning-based AI systems, including human-machine interfaces, question-answering systems and conversational agents. It would also be highly valuable as a methodological tool for usage-based linguistic research, as it would facilitate the automatic annotation of constructions in text corpora, and provide novel insights into the compositional and non-compositional aspects of language use.

 
 

Project Info

Start   01/10/2020

End     31/09/2023

Funding   FWO Postdoctoral Mandate

Awarded to  Paul Van Eecke