Papers by Hugo Gonçalo Oliveira

5 papers
Towards Generation and Recognition of Humorous Texts in Portuguese (2023.eacl-srw)

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Challenge: This PhD thesis focuses on the automatic generation and recognition of verbal punning humor in Portuguese.
Approach: They propose to combine natural language generation and cognitive processing to generate and recognize verbal humor in Portuguese.
Outcome: The proposed methods aim to generate and recognize humor in Portuguese, an underdeveloped language compared to English.
A Brief Survey of Textual Dialogue Corpora (2022.lrec-1)

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Challenge: Several dialogue corpora are available for research purposes, but they do not cover all the necessities of real-world applications.
Approach: They analyze available dialogue corpora and propose possible approaches to create new ones.
Outcome: The proposed corpus of human-human dialogues is based on a list of available dialogue corpora . it covers speakers, size, languages, collection, annotations, and domains . some trends are identified and possible approaches are also discussed .
Exploring Transformers for Ranking Portuguese Semantic Relations (2022.lrec-1)

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Challenge: Using transformers, we rank instances of Portuguese lexico-semantic relations . despite the negative results, we see the reported experiments as another contribution for better understanding transformer-based language models like BERT and GPT.
Approach: They investigated transformer-based language models for ranking instances of Portuguese lexico-semantic relations using weights based on likelihood of natural language sequences that transmitted the relation instances.
Outcome: The proposed models are not correlated with redundancy, but lower for instances with longer and more specific arguments, and not useful when computing word similarity with network embeddings.
Corpora and Baselines for Humour Recognition in Portuguese (2020.lrec-1)

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Challenge: Existing work on the recognition of verbal humour in Portuguese has not been done . humor recognition is a sign of fluency in a language, and is not yet widely used in other languages.
Approach: They propose to create three corpora covering two styles of humour and four sources of non-humorous text that are used for testing computational models.
Outcome: The proposed models can be used to train and test models in Portuguese, and may be used as baselines for future projects.
AIA-BDE: A Corpus of FAQs in Portuguese and their Variations (2020.lrec-1)

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Challenge: a corpus of 380 domain-oriented FAQs in Portuguese is presented . paraphrases or entailed questions are created manually, by humans, or automatically, with Google Translate.
Approach: They present 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.
Outcome: The proposed system outperforms other systems in the domain of question-answering . it performs well when matching variations with their original questions .

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