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Documents authored by Novais, Paulo

Document
Short Paper
DOI: 10.4230/OASIcs.SLATE.2023.10
Large Language Models: Compilers for the 4^{th} Generation of Programming Languages? (Short Paper)

Authors: Francisco S. Marcondes, José João Almeida, and Paulo Novais

Published in: OASIcs, Volume 113, 12th Symposium on Languages, Applications and Technologies (SLATE 2023)

Abstract
This paper explores the possibility of large language models as a fourth generation programming language compiler. This is based on the idea that large language models are able to translate a natural language specification into a program written in a particular programming language. In other words, just as high-level languages provided an additional language abstraction to assembly code, large language models can provide an additional language abstraction to high-level languages. This interpretation allows large language models to be thought of through the lens of compiler theory, leading to insightful conclusions.
Cite as

Francisco S. Marcondes, José João Almeida, and Paulo Novais. Large Language Models: Compilers for the 4^{th} Generation of Programming Languages? (Short Paper). In 12th Symposium on Languages, Applications and Technologies (SLATE 2023). Open Access Series in Informatics (OASIcs), Volume 113, pp. 10:1-10:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{s.marcondes_et_al:OASIcs.SLATE.2023.10,
  author =	{S. Marcondes, Francisco and Almeida, Jos\'{e} Jo\~{a}o and Novais, Paulo},
  title =	{{Large Language Models: Compilers for the 4^\{th\} Generation of Programming Languages?}},
  booktitle =	{12th Symposium on Languages, Applications and Technologies (SLATE 2023)},
  pages =	{10:1--10:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-291-4},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{113},
  editor =	{Sim\~{o}es, Alberto and Ber\'{o}n, Mario Marcelo and Portela, Filipe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2023.10},
  URN =		{urn:nbn:de:0030-drops-185240},
  doi =		{10.4230/OASIcs.SLATE.2023.10},
  annote =	{Keywords: programming language, compiler, large language model}
}
Document
Short Paper
DOI: 10.4230/OASIcs.SLATE.2018.19
Predicting Performance Problems Through Emotional Analysis (Short Paper)

Authors: Ricardo Martins, José João Almeida, Pedro Rangel Henriques, and Paulo Novais

Published in: OASIcs, Volume 62, 7th Symposium on Languages, Applications and Technologies (SLATE 2018)

Abstract
In the cartoons, every time a character is nervous he/she begins to count to ten to keep calm. This is a technique, among hundreds, that helps to control the emotional state. However, what would be the impact if the emotions would not be controlled? Are the emotions important in terms of impairing the ability to perform tasks correctly? Using a case study of typing text, this paper is about a process to predict the number of writing errors from a person based on the emotional state and some characteristics of the writing process. Using preprocessing techniques, lexicon-based approaches and machine learning, we achieved a percentage of 80% of correct values, when considering the emotional profile on the writing style.
Cite as

Ricardo Martins, José João Almeida, Pedro Rangel Henriques, and Paulo Novais. Predicting Performance Problems Through Emotional Analysis (Short Paper). In 7th Symposium on Languages, Applications and Technologies (SLATE 2018). Open Access Series in Informatics (OASIcs), Volume 62, pp. 19:1-19:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{martins_et_al:OASIcs.SLATE.2018.19,
  author =	{Martins, Ricardo and Almeida, Jos\'{e} Jo\~{a}o and Henriques, Pedro Rangel and Novais, Paulo},
  title =	{{Predicting Performance Problems Through Emotional Analysis}},
  booktitle =	{7th Symposium on Languages, Applications and Technologies (SLATE 2018)},
  pages =	{19:1--19:9},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-072-9},
  ISSN =	{2190-6807},
  year =	{2018},
  volume =	{62},
  editor =	{Henriques, Pedro Rangel and Leal, Jos\'{e} Paulo and Leit\~{a}o, Ant\'{o}nio Menezes and Guinovart, Xavier G\'{o}mez},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2018.19},
  URN =		{urn:nbn:de:0030-drops-92773},
  doi =		{10.4230/OASIcs.SLATE.2018.19},
  annote =	{Keywords: emotion analysis, machine learning, natural processing language}
}
Document
DOI: 10.4230/OASIcs.ICCSW.2015.62
Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines

Authors: António Silva, Tiago Oliveira, Paulo Novais, and José Neves

Published in: OASIcs, Volume 49, 2015 Imperial College Computing Student Workshop (ICCSW 2015)

Abstract
Computer-Interpretable Guidelines (CIGs) as machine-readable versions of clinical protocols have to provide appropriate constructs for the representation of different aspects of medical knowledge, namely administrative information, workflows of procedures, clinical constraints and temporal constraints. This work focuses on the latter, by aiming to develop a comprehensive representation of temporal constraints for machine readable formats of clinical protocols and provide a proper execution engine that deals with different time patterns and constraints placed on them. A model for the representation of time is presented for the CompGuide ontology in Ontology Web language (OWL) along with a comparison with the available formalisms in this field.
Cite as

António Silva, Tiago Oliveira, Paulo Novais, and José Neves. Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines. In 2015 Imperial College Computing Student Workshop (ICCSW 2015). Open Access Series in Informatics (OASIcs), Volume 49, pp. 62-69, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{silva_et_al:OASIcs.ICCSW.2015.62,
  author =	{Silva, Ant\'{o}nio and Oliveira, Tiago and Novais, Paulo and Neves, Jos\'{e}},
  title =	{{Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines}},
  booktitle =	{2015 Imperial College Computing Student Workshop (ICCSW 2015)},
  pages =	{62--69},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-000-2},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{49},
  editor =	{Schulz, Claudia and Liew, Daniel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICCSW.2015.62},
  URN =		{urn:nbn:de:0030-drops-54827},
  doi =		{10.4230/OASIcs.ICCSW.2015.62},
  annote =	{Keywords: Computer-Interpretable Guidelines, Temporal Constraints, Clinical Decision Support, Ontologies}
}
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