Ricardo Rodrigues


2024

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BATS-PT: Assessing Portuguese Masked Language Models in Lexico-Semantic Analogy Solving and Relation Completion
Hugo Gonçalo Oliveira | Ricardo Rodrigues | Bruno Ferreira | Purificação Silvano | Sara Carvalho
Proceedings of the 16th International Conference on Computational Processing of Portuguese

2023

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GPT3 as a Portuguese Lexical Knowledge Base?
Hugo Gonçalo Oliveira | Ricardo Rodrigues
Proceedings of the 4th Conference on Language, Data and Knowledge

2020

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AIA-BDE: A Corpus of FAQs in Portuguese and their Variations
Hugo Gonçalo Oliveira | João Ferreira | José Santos | Pedro Fialho | Ricardo Rodrigues | Luisa Coheur | Ana Alves
Proceedings of the Twelfth Language Resources and Evaluation Conference

We present AIA-BDE, a corpus of 380 domain-oriented FAQs in Portuguese and their variations, i.e., paraphrases or entailed questions, created manually, by humans, or automatically, with Google Translate. Its aims to be used as a benchmark for FAQ retrieval and automatic question-answering, but may be useful in other contexts, such as the development of task-oriented dialogue systems, or models for natural language inference in an interrogative context. We also report on two experiments. Matching variations with their original questions was not trivial with a set of unsupervised baselines, especially for manually created variations. Besides high performances obtained with ELMo and BERT embeddings, an Information Retrieval system was surprisingly competitive when considering only the first hit. In the second experiment, text classifiers were trained with the original questions, and tested when assigning each variation to one of three possible sources, or assigning them as out-of-domain. Here, the difference between manual and automatic variations was not so significant.

2018

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Exploring Lexical-Semantic Knowledge in the Generation of Novel Riddles in Portuguese
Hugo Gonçalo Oliveira | Ricardo Rodrigues
Proceedings of the 3rd Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2018)