| Full text | |
| Author(s): |
Anchieta, Rafael Torres
;
Salgueiro Pardo, Thiago Alexandre
;
Pinheiro, V
;
Gamallo, P
;
Amaro, R
;
Scarton, C
;
Batista, F
;
Silva, D
;
Magro, C
;
Pinto, H
Total Authors: 10
|
| Document type: | Journal article |
| Source: | COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022; v. 13208, p. 6-pg., 2022-01-01. |
| Abstract | |
The Abstract Meaning Representation (AMR) is a semantic formalism that has been widely adopted in the area for semantic parsing. We present in this paper our contribution to the task for Portuguese. We investigated semantic parsing methods of different paradigms, producing state of the art results for this language. We also introduced the first AMR-annotated corpus for Portuguese, a novel and better semantic parsing evaluation measure, and a new AMR-based alignment method. (AU) | |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |