Pablo Suárez

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In this paper, we present a machine learning system for classifying subject ellipsis in Spanish as either referential or non-referential. To the best of our knowledge, this is the first attempt to automatically identify non-referential ellipsis in Spanish. An evaluation of our system against 6,827 finite verbs shows an accuracy of 87%.
In this paper, we describe the algorithm that has been used to carry out our plagiarism detection within the context of PAN10 competition. Our system is based on the LempelZiv distance, which is applied to extract structural information from texts. Then the algorithm tries to find outliers in the vector of distances between each fragment of the text and the(More)
  • Pablo Suárez, Cleusa Yoshiko Nagamachi, Cecilia Lanzone, Matias Maximiliano Malleret, Patricia Caroline Mary O’Brien, Malcolm Andrew Ferguson-Smith +2 others
  • 2015
Sigmodontinae rodents represent one of the most diverse and complex components of the mammalian fauna of South America. Among them most species belongs to Oryzomyini and Akodontini tribes. The highly specific diversification observed in both tribes is characterized by diploid complements, which vary from 2n = 10 to 86. Given this diversity, a consistent(More)
Plethodontid salamanders of genus Bolitoglossa constitute the largest and most diverse group of salamanders, including around 20% of living caudate species. Recent studies have indicated the occurrence of five recognized species in the Brazilian Amazon Rainforest. We present here the first cytogenetic data of a Brazilian salamander, which may prove to be a(More)
The technology for business rule based systems faces two important challenges: standardization and integration within conventional software development lifecycle models and tools. Despite the standardization effort carried out by international organizations, commercial tools incorporate their own flavours in rule languages, making difficult the migration(More)
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