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# International Conference on Computational Processing of Portuguese 2026: all accepted papers

157 papers · page 2 of 2 · the most cited first · [← International Conference on Computational Processing of Portuguese 2026](https://md.research.elamur.ai/free/en/venues/propor/2026/)

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101. **[Lispector: Fine-tuning de Modelos de Linguagem para Revisão Gramatical e Ortográfica em Português Brasileiro](https://md.research.elamur.ai/free/en/papers/medeiros-2026-lispector-fine-tuning-de-modelos/)**Andresa Medeiros, Felipe Iszlaji, Claudia Sarmiento-Moreno et al.*our summary*
102. **[Lost in Quantization: Activation Outliers Explain Language-Specific FP8 Sensitivity in Llama-3](https://md.research.elamur.ai/free/en/papers/silva-2026-lost-quantization-activation-outliers-explain/)**Guilherme Silva, Pedro Silva, Matheus Peixoto et al.*our summary*
103. **[MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese ↗](https://aclanthology.org/2026.propor-1.102/)**Tiago Teixeira, Ana Carolina Erthal, Juan Belieni et al.
104. **[Marcação de correferência para a caracterização de personagens em obras literárias em português](https://md.research.elamur.ai/free/en/papers/santos-2026-marcacao-de-correferencia-para-caracterizacao/)**Diana Santos, Luisa Mara Silva Lima, Emanoel Pires*our summary*
105. **[Marcação semântica de entidades nomeadas em Os Lusíadas](https://md.research.elamur.ai/free/en/papers/queiroz-2026-marcacao-semantica-de-entidades-nomeadas/)**Adriane Maria de Oliveira Queiroz, Bruno Oliveira Maroneze*our summary*
106. **[Modeling Linguistic Violence: An Ontology-Based Framework for the Computational Analysis of Violence Manifested in Language](https://md.research.elamur.ai/free/en/papers/santana-2026-modeling-linguistic-violence-ontology-based/)**Brenda Salenave Santana, Ana Marilza Pernas, Aline A. Vanin*our summary*
107. **[Multi-Agent Architecture with RAG and Dynamic Context Windows for Text-to-SQL Optimization](https://md.research.elamur.ai/free/en/papers/santos-2026-multi-agent-architecture-rag-dynamic/)**Willgnner Ferreira Santos, Paulo Victor dos Santos, Marcella Scoczynski Ribeiro Martins et al.*our summary*
108. **[NLP-based Page Classification for Efficient LLM Extraction from Brazilian Public Tender Documents ↗](https://aclanthology.org/2026.propor-1.61/)**Pedro Campos, Ivo de Medeiros, Adailton de Araújo
109. **[Negation-Aware Data Augmentation for Portuguese Natural Language Inference ↗](https://aclanthology.org/2026.propor-1.14/)**Maria Cecília M. Corrêa, Felipe S. F. Paula, Matheus Westhelle et al.
110. **[Neuro-symbolic Approaches for Rubric-Based Automatic Essay Evaluation of ENEM Essays](https://md.research.elamur.ai/free/en/papers/silveira-2026-neuro-symbolic-approaches-rubric-based/)**Igor Cataneo Silveira, Denis Deratani Mauá*our summary*
111. **[NorBERTo: A ModernBERT Model Trained for Portuguese with 331 Billion Tokens Corpus](https://md.research.elamur.ai/free/en/papers/silva-2026-norberto-modernbert-model-trained-portuguese/)**Enzo S. N. Silva, Pablo B. Costa, Raphael C. Vlasman et al.*our summary*
112. **[NormaTex-MapSNOMED: Bridging the Gap Between Brazilian Portuguese Clinical Narratives and SNOMED CT](https://md.research.elamur.ai/free/en/papers/araujo-2026-normatex-mapsnomed-bridging-gap-between/)**Isabela Araujo, Claudia Moro, Layslla Martinez*our summary*
113. **[Optimizing Efficiency in Multi-Stage Semantic Re-ranking Architectures](https://md.research.elamur.ai/free/en/papers/novais-2026-optimizing-efficiency-multi-stage-semantic/)**Artur M. A. Novais, Anna P. V. L. B. Moreira, Maria C. X. de Almeida et al.*our summary*
114. **[Parsing Nheengatu: Performance Gains for a Brazilian Indigenous Universal Dependencies Treebank](https://md.research.elamur.ai/free/en/papers/alexandre-2026-parsing-nheengatu-performance-gains-brazilian/)**Dominick Maia Alexandre, Leonel Figueiredo de Alencar*our summary*
115. **[Portho: A Corpus-Based Resource of Orthographic Neighbors in European Portuguese](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-portho-corpus-based-resource-orthographic/)**Eugénio Ribeiro, David Antunes, Nuno Mamede et al.*our summary*
116. **[Portuguese Sentiment Analysis with Open-Source LLMs: Models, Prompts, and Efficient Deployment ↗](https://aclanthology.org/2026.propor-1.21/)**João V R J Lima, Vládia Pinheiro, Carlos Caminha
117. **[Pretrained Neural Audio Models for Asthma Detection from Voice and Speech ↗](https://aclanthology.org/2026.propor-2.13/)**Leticia Puttlitz Boll, Antonio Oss Boll, Yan Anderson Pires de Oliveira et al.
118. **[Prompt Engineering for Named Entity Extraction from Portuguese Legal Documents](https://md.research.elamur.ai/free/en/papers/maffeo-2026-prompt-engineering-named-entity-extraction/)**Giovanni Maffeo, Catarina Silva, Hugo Gonçalo Oliveira*our summary*
119. **[Quando as Máquinas “Pensam”: Antropomorfização no Discurso sobre IA - Riscos Conceptuais e Proposta de Léxico Não Antropomórfico para PLN em Português ↗](https://aclanthology.org/2026.propor-1.105/)**Anabela Barreiro
120. **[Que ao mestre vai matá-lo? The evolution of prepositional accusatives in Portuguese across time](https://md.research.elamur.ai/free/en/papers/vaz-2026-que-ao-mestre-vai-mata/)**Helena Rodrigues Menezes de Oliveira Vaz*our summary*
121. **[RacismoBR: A Manually Annotated Dataset for Racist Discourse Detection in Brazilian Portuguese](https://md.research.elamur.ai/free/en/papers/vaz-2026-racismobr-manually-annotated-dataset-racist/)**João Vítor Vaz, Fabrício Benevenuto, Marcos André Gonçalves*our summary*
122. **[Rating–Text Mismatch in Brazilian Portuguese Reviews: How Reliable Are Zero-Shot LLMs?](https://md.research.elamur.ai/free/en/papers/marreira-2026-rating-text-mismatch-brazilian-portuguese/)**Emanuelle Marreira, Carlos M. S. Figueiredo, Tiago de Melo*our summary*
123. **[Retrato_Cantado: Criação e Análise de um Corpus para Representações de Identidade em Letras de Músicas Brasileiras ↗](https://aclanthology.org/2026.propor-1.68/)**Vitória P. Firmino, Janaina N. de S. Lopes, Bruno M. Nogueira et al.
124. **[Retrieval-Augmented Generation and Knowledge Graphs in Portuguese-Language Legal Documents ↗](https://aclanthology.org/2026.propor-1.1/)**Vinícius Teles de Oliveira, Deivison Oliveira da Silva, Mateus de Almeida Souza et al.
125. **[Retrieval-Augmented Generation for Clinical Question Answering in Portuguese Drug Leaflets: Benefits and Limitations ↗](https://aclanthology.org/2026.propor-2.18/)**Gabriel Lino Garcia, Pedro Henrique Paiola, João Vitor Mariano Correia et al.
126. **[Retrieval-Augmented Generation with Small Language Models for Fake News Detection ↗](https://aclanthology.org/2026.propor-1.12/)**Lucca Baptista Silva Ferraz, Jhúlia de Souza Leal, Anderson Raymundo Avila et al.
127. **[Robustness and Diversity Evaluation on ProsSegue-ML: a Free Prosodic Segmentation Tool for Brazilian Portuguese ↗](https://aclanthology.org/2026.propor-2.24/)**Giovana Meloni Craveiro, Sandra Maria Aluísio
128. **[Semantic Representation of Relative Clauses in Lexicalized Abstract Meaning Representation ↗](https://aclanthology.org/2026.propor-1.20/)**Jorge Baptista, Sónia Reis
129. **[Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information ↗](https://aclanthology.org/2026.propor-1.106/)**Anton Bulle Labate, Fabio Gagliardi Cozman
130. **[Sintomas Linguísticos: Geração Aumentada por Recuperação e Raciocínio em LLMs sob a Variação Português-Inglês em Contextos Médicos](https://md.research.elamur.ai/free/en/papers/moura-2026-sintomas-linguisticos-geracao-aumentada-por/)**Guilherme Vianna de Moura, Gabriel Assis, Aline Paes*our summary*
131. **[Sistema Multimodal de Apoio ao Gerenciamento de Riscos de Desastres](https://md.research.elamur.ai/free/en/papers/lucena-2026-sistema-multimodal-de-apoio-ao/)**Hosana Iasmin Castro dos Santos Lucena, Gabriel Rocha dos Santos, Jady Lima da Silva et al.*our summary*
132. **[Social-RAG: A Retrieval-Augmented Generation Pipeline for Computational Social Science Research on Telegram](https://md.research.elamur.ai/free/en/papers/nascimento-2026-social-rag-retrieval-augmented-generation/)**Leonardo Nascimento, Eric Brasil, Arthur Lima et al.*our summary*
133. **[Socially Responsible and Explainable Automated Fact-Checking and Hate Speech Detection ↗](https://aclanthology.org/2026.propor-2.10/)**Francielle Vargas, Fabrício Benevenuto, Thiago A. S. Pardo
134. **[Software for Automatic Speech Recognition via Whisper models applied to Oral History interviews in the Portuguese language](https://md.research.elamur.ai/free/en/papers/silva-2026-software-automatic-speech-recognition-whisper/)**Edgleide de Oliveira Clemente da Silva, Fernando Rezende Zagatti, Filipe Loyola Lopes et al.*our summary*
135. **[Specializing a Small Language Model for Closed-Domain Portuguese RAG using Knowledge Graph Supervision ↗](https://aclanthology.org/2026.propor-1.28/)**Josué Caldas, Elvis de Souza, Patrícia Silva et al.
136. **[Structured Sentiment Analysis in Brazilian Portuguese: An Exploratory Study Using BERTimbau ↗](https://aclanthology.org/2026.propor-1.92/)**Andrew B. Campos, Ulisses B. Corrêa, Larissa A. de Freitas
137. **[Structured Summaries for Retrieval-Augmented Generation in Portuguese-Language Consumer Complaints ↗](https://aclanthology.org/2026.propor-1.84/)**Rafael Sant'Ana, Pedro Garcia, Luis A. Duarte et al.
138. **[Síntese de Voz Emocional Multi-Idioma para Português Brasileiro: Uma Análise Comparativa de Abordagens de Ajuste Fino ↗](https://aclanthology.org/2026.propor-1.63/)**Daniel Oliveira de Brito, Sidney Evaldo Leal, Arnaldo Candido Junior
139. **[Textual Inference in Portuguese: Comparing Language Models ↗](https://aclanthology.org/2026.propor-2.28/)**Fabiana Avais, Valeria de Paiva, Livy Real
140. **[The F1 of Formula One: Applicability of Pre-trained NER Models to Brazilian TV Interview Transcripts](https://md.research.elamur.ai/free/en/papers/munhoz-2026-f1-formula-one-applicability-pre/)**João Pedro Gonçalves Munhoz, Luiz Felipe Guidorizzi de Oliveira, Isabella Belchior et al.*our summary*
141. **[The Inadequacy of Automatic Evaluation Metrics in Question Answering: A Case-Study in Portuguese ↗](https://aclanthology.org/2026.propor-1.54/)**Júlia da Rocha Junqueira, Viviane P. Moreira
142. **[The PROPOR Ecosystem: Structure, Roles, and Evolution of Portuguese-Language NLP](https://md.research.elamur.ai/free/en/papers/nunes-2026-propor-ecosystem-structure-roles-evolution/)**Rafael O. Nunes, Gustavo L. Tamiosso, Pedro L. C. de Andrade et al.*our summary*
143. **[The Superficiality Bias: Community Votes and Answer Utility in Portuguese Health Question Answering ↗](https://aclanthology.org/2026.propor-1.113/)**Carlos Henrique Santos Barros, Gustavo Figueredo Rodrigues de Sousa, Rogério Figueredo de Sousa
144. **[The visible and the latent linguistic clues of mental health in Brazilian Portuguese textual posts](https://md.research.elamur.ai/free/en/papers/wilkens-2026-visible-latent-linguistic-clues-mental/)**Rodrigo Wilkens, Helena Caseli, Vania Neris et al.*our summary*
145. **[Think Portuguese with Bode Reasoning ↗](https://aclanthology.org/2026.propor-1.95/)**Gabriel Lino Garcia, André da F. Schuck, João R. R. Manesco et al.
146. **[To Describe or Not to Describe? Benchmarking Database Representations for Schema Linking in Text-to-SQL ↗](https://aclanthology.org/2026.propor-1.15/)**Daiane Ucceli Kreitlow, Hilário Tomaz Alves de Oliveira
147. **[Token-Level Pun Location Using Multi-Layer BERT with Mixture of Experts ↗](https://aclanthology.org/2026.propor-1.26/)**Rafael Torres Anchiêta, Roney Lira de Sales Santos, Raimundo Santos Moura
148. **[Topic Modeling in Brazilian Portuguese Documents on Antimicrobial Resistance](https://md.research.elamur.ai/free/en/papers/susin-2026-topic-modeling-brazilian-portuguese-documents/)**Enrique Reis Susin, Lilian Berton*our summary*
149. **[Towards a Universal Dependencies Corpus for Portuguese Epidemiological Reports ↗](https://aclanthology.org/2026.propor-2.31/)**Christian Freitas, Livy Real, Lilian Berton et al.
150. **[Twenty Years of HAREM: A Reproducible Audit and Reassessment of Portuguese Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/nunes-2026-twenty-years-harem-reproducible-audit/)**Rafael O. Nunes, André Spritzer, Carla M. D. S. Freitas et al.*our summary*
151. **[UlyssesLegalNER-Br: from Legislative to Legal, a comprehensive corpus of Brazilian legal documents for Named Entity Recognition ↗](https://aclanthology.org/2026.propor-1.33/)**Hidelberg O. Albuquerque, Ellen Souza, Danilo C. G. Lucena et al.
152. **[Uma Abordagem Híbrida para Predição de Faixa Etária de Autores de Textos Escritos na Língua Portuguesa](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-uma-abordagem-hibrida-para-predicao/)**Alice Rezende Ribeiro, Luiz Henrique de Campos Merschmann*our summary*
153. **[Unsupervised Evaluation of Explanations for Hate Speech Classification in Portuguese ↗](https://aclanthology.org/2026.propor-1.77/)**Isabel Carvalho, Hugo Gonçalo Oliveira, Catarina Silva
154. **[Uso de técnicas de Aprendizado de Máquina e Modelos de Língua de Larga Escala para avaliação automática de textos do exame Celpe-Bras](https://md.research.elamur.ai/free/en/papers/nunes-2026-uso-de-tecnicas-de-aprendizado/)**Rafael Oleques Nunes, Bernardo Cobalchini Zietolie, Ricardo Zanini De Costa et al.*our summary*
155. **[Viés de gênero na tradução automática: uma avaliação no par linguístico inglês-português](https://md.research.elamur.ai/free/en/papers/soares-2026-vies-de-genero-na-traducao/)**Tayane A. Soares, Yohan B. Gumiel, Rafael Junqueira et al.*our summary*
156. **[Viés e Justiça em Modelos de Linguagem: Evidências de Uma Literatura Linguística, Social e Culturalmente Assimétrica ↗](https://aclanthology.org/2026.propor-2.27/)**Vitória P. Firmino, Bruno M. Nogueira, Valéria Q. dos Reis
157. **[dialect2vec: Um método baseado em vetores para transcrição dialetal do português a partir de questionários do ALiB](https://md.research.elamur.ai/free/en/papers/mota-2026-dialect2vec-um-metodo-baseado-em/)**Laila Mota, Daniela Barreiro Claro, Eloize R. Marques Seno et al.*our summary*

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