Vânia Gomes de Almeida


Modeling Construction Grammar’s Way into NLP: Insights from negative results in automatically identifying schematic clausal constructions in Brazilian Portuguese
Arthur Lorenzi | Vânia Gomes de Almeida | Ely Edison Matos | Tiago Timponi Torrent
Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)

This paper reports on negative results in a task of automatic identification of schematic clausal constructions and their elements in Brazilian Portuguese. The experiment was set up so as to test whether form and meaning properties of constructions, modeled in terms of Universal Dependencies and FrameNet Frames in a Constructicon, would improve the performance of transformer models in the task. Qualitative analysis of the results indicate that alternatives to the linearization of those properties, dataset size and a post-processing module should be explored in the future as a means to make use of information in Constructicons for NLP tasks.