Pablo Costa


2024

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Sequence-to-sequence and transformer approaches to Portuguese text style transfer
Pablo Costa | Ivandré Paraboni
Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1

2019

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Personality-dependent Neural Text Summarization
Pablo Costa | Ivandré Paraboni
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)

In Natural Language Generation systems, personalization strategies - i.e, the use of information about a target author to generate text that (more) closely resembles human-produced language - have long been applied to improve results. The present work addresses one such strategy - namely, the use of Big Five personality information about the target author - applied to the case of abstractive text summarization using neural sequence-to-sequence models. Initial results suggest that having access to personality information does lead to more accurate (or human-like) text summaries, and paves the way for more robust systems of this kind.