no code implementations • 5 Aug 2023 • Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira, Denis Deratani Mauá, Fabio Gagliardi Cozman
We also discuss how gradient-based learning can be performed with neural predicates and probabilistic choices under selected semantics.
1 code implementation • 25 Jun 2023 • Marcelo Archanjo Jose, Fabio Gagliardi Cozman
Long sequences of text are challenging in the context of transformers, due to quadratic memory increase in the self-attention mechanism.
no code implementations • 27 Feb 2023 • Fabio Gagliardi Cozman
We examine the recently proposed language of Logical Credal Networks, in particular investigating the consequences of various Markov conditions.
1 code implementation • 18 Jan 2023 • Marlon Sproesser Mathias, Wesley Pereira de Almeida, Marcel Rodrigues de Barros, Jefferson Fialho Coelho, Lucas Palmiro de Freitas, Felipe Marino Moreno, Caio Fabricio Deberaldini Netto, Fabio Gagliardi Cozman, Anna Helena Reali Costa, Eduardo Aoun Tannuri, Edson Satoshi Gomi, Marcelo Dottori
Finally, we argue that the addition of the governing equations during training may provide a way to improve the overall performance of the model without relying on additional data, which is especially important for situations where the number of known solution points is limited.
1 code implementation • 7 Oct 2021 • Marcelo Archanjo José, Fabio Gagliardi Cozman
A large number of techniques are geared towards the English language; in this work, we thus investigated translation to SQL when input questions are given in the Portuguese language.
no code implementations • 5 Mar 2020 • Lucas Nunes Sequeira, Bruno Moreschi, Fabio Gagliardi Cozman, Bernardo Fontes
Both accuracy and size decrease with the number of hops; the former displays a decrease closely following a power law.
1 code implementation • 22 Oct 2018 • Alvaro Henrique Chaim Correia, Jorge Luiz Moreira Silva, Thiago de Castro Martins, Fabio Gagliardi Cozman
Recurrent neural networks are now the state-of-the-art in natural language processing because they can build rich contextual representations and process texts of arbitrary length.
Ranked #46 on Question Answering on SQuAD1.1 dev
1 code implementation • 20 Jun 2018 • Arthur Colombini Gusmão, Alvaro Henrique Chaim Correia, Glauber De Bona, Fabio Gagliardi Cozman
Knowledge bases are employed in a variety of applications from natural language processing to semantic web search; alas, in practice their usefulness is hurt by their incompleteness.
no code implementations • 31 Jan 2017 • Fabio Gagliardi Cozman, Denis Deratani Mauá
We examine the meaning and the complexity of probabilistic logic programs that consist of a set of rules and a set of independent probabilistic facts (that is, programs based on Sato's distribution semantics).
no code implementations • 4 Dec 2016 • Fabio Gagliardi Cozman, Denis Deratani Mauá
We examine the complexity of inference in Bayesian networks specified by logical languages.
no code implementations • 12 Sep 2016 • Fabio Gagliardi Cozman
The point of this note is to prove that a language is in the complexity class PP if and only if the strings of the language encode valid inferences in a Bayesian network defined using function-free first-order logic with equality.