S
Shaun C. D'Souza
Researcher at Accenture
Publications - 11
Citations - 243
Shaun C. D'Souza is an academic researcher from Accenture. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 2, co-authored 9 publications receiving 240 citations. Previous affiliations of Shaun C. D'Souza include University of Michigan & Wipro.
Papers
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Proceedings ArticleDOI
PicoServer: using 3D stacking technology to enable a compact energy efficient chip multiprocessor
Taeho Kgil,Shaun C. D'Souza,Ali G. Saidi,Nathan Binkert,Ronald G. Dreslinski,Trevor Mudge,Steven K. Reinhardt,Krisztian Flautner +7 more
TL;DR: It is shown how 3D stacking technology can be used to implement a simple, low-power, high-performance chip multiprocessor suitable for throughput processing and that a PicoServer performs comparably to a Pentium 4-like class machine while consuming only about 1/10 of the power.
Patent
System and method for extracting information from unstructured text
TL;DR: The authors proposed a method for extracting subject-verb-object (SVO) chunked text from an unstructured text using a machine learning chunker model, which is trained on a subjectverb object annotated training data.
Journal ArticleDOI
Parser Extraction of Triples in Unstructured Text
TL;DR: A depth-first search traversal on the POS tagged syntactic tree appending predicate and object information and the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser are defined.
Posted ContentDOI
Parser Extraction of Triples in Unstructured Text.
TL;DR: A depth-first search traversal on the POS tagged syntactic tree appending predicate and object information and the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser are defined.
Posted Content
Cognitive Architecture for a Connected World
TL;DR: A unified architecture for next generation cognitive, low cost, mobile internet, which takes computing out of the data center and into end user platform is proposed.