@inproceedings{comarim-di-felippo-2026-empirical,
title = "Empirical Study Towards {RBAMR}-News: a Rule-Based {AMR} Parser for News in {P}ortuguese",
author = "Comarim, Maria Julia Bernardo and
Di-Felippo, Ariani",
editor = "Barbosa, Bryan Khelven da Silva and
Paes, Aline and
Felippo, Ariani Di",
booktitle = "Proceedings of the 17th {B}razilian Symposium in Information and Human Language Technology",
month = oct,
year = "2026",
address = "Cuiab{\'a}, Mato Grosso, Brazil",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.stil-1.8/",
doi = "10.5753/stil.2026.26504",
pages = "86--99",
abstract = "This work evaluates AMR graph construction rules, originally developed for literary texts, in Portuguese news data to support building a symbolic AMR parser for this genre. Using the AMRNews-PT gold-standard corpus, we conduct an ablation analysis to assess rule contributions to AMR representation quality. The results reveal a hierarchical organization in which a small set of core structural rules drives most parsing performance, while additional rules provide finer semantic refinements. This rule hierarchy serves as the basis for building the parser and enabling the annotation of a larger news corpus."
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%0 Conference Proceedings
%T Empirical Study Towards RBAMR-News: a Rule-Based AMR Parser for News in Portuguese
%A Comarim, Maria Julia Bernardo
%A Di-Felippo, Ariani
%Y Barbosa, Bryan Khelven da Silva
%Y Paes, Aline
%Y Felippo, Ariani Di
%S Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
%D 2026
%8 October
%I Association for Computational Linguistics
%C Cuiabá, Mato Grosso, Brazil
%F comarim-di-felippo-2026-empirical
%X This work evaluates AMR graph construction rules, originally developed for literary texts, in Portuguese news data to support building a symbolic AMR parser for this genre. Using the AMRNews-PT gold-standard corpus, we conduct an ablation analysis to assess rule contributions to AMR representation quality. The results reveal a hierarchical organization in which a small set of core structural rules drives most parsing performance, while additional rules provide finer semantic refinements. This rule hierarchy serves as the basis for building the parser and enabling the annotation of a larger news corpus.
%R 10.5753/stil.2026.26504
%U https://aclanthology.org/2026.stil-1.8/
%U https://doi.org/10.5753/stil.2026.26504
%P 86-99
Markdown (Informal)
[Empirical Study Towards RBAMR-News: a Rule-Based AMR Parser for News in Portuguese](https://aclanthology.org/2026.stil-1.8/) (Comarim & Di-Felippo, STIL 2026)
ACL