10 Search Results for "Pereira, Jorge"

Document
DOI: 10.4230/OASIcs.SLATE.2025.13
Mining GitHub Software Repositories to Look for Programming Language Cocktails

Authors: João Loureiro, Alvaro Costa Neto, Maria João Varanda Pereira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 135, 14th Symposium on Languages, Applications and Technologies (SLATE 2025)

Abstract
In light of specific development needs, it is common to concurrently apply different technologies to build complex applications. Given that lowering risks, costs, and other negative factors, while improving their positive counterparts is paramount to a better development environment, it becomes relevant to find out what technologies work best for each intended purpose in a project. In order to reach these findings, it is necessary to analyse and study the technologies applied in these projects and how they interconnect and relate to each other. The theory behind Programming Cocktails (meaning the set of programming technologies - Ingredients - that are used to develop complex systems) can support these analysis. However, due to the sheer amount of data that is required to construct and analyse these Cocktails, it becomes unsustainable to manually obtain them. From the desire to accelerate this process comes the need for a tool that automates the data collection and its conversion into an appropriate format for analysis. As such, the project proposed in this paper revolves around the development of a web-scraping application that can generate Cocktail Identity Cards (CIC) from source code repositories hosted on GitHub. Said CICs contain the Ingredients (programming languages, libraries and frameworks) used in the corresponding GitHub repository and follow the ontology previously established in a larger research project to model each Programming Cocktail. This paper presents a survey of current Source Version Control Systems (SVCSs) and web-scrapping technologies, an overview of Programming Cocktails and its current foundations, and the design of a tool that can automate the gathering of CICs from GitHub repositories.
Cite as

João Loureiro, Alvaro Costa Neto, Maria João Varanda Pereira, and Pedro Rangel Henriques. Mining GitHub Software Repositories to Look for Programming Language Cocktails. In 14th Symposium on Languages, Applications and Technologies (SLATE 2025). Open Access Series in Informatics (OASIcs), Volume 135, pp. 13:1-13:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{loureiro_et_al:OASIcs.SLATE.2025.13,
  author =	{Loureiro, Jo\~{a}o and Costa Neto, Alvaro and Pereira, Maria Jo\~{a}o Varanda and Henriques, Pedro Rangel},
  title =	{{Mining GitHub Software Repositories to Look for Programming Language Cocktails}},
  booktitle =	{14th Symposium on Languages, Applications and Technologies (SLATE 2025)},
  pages =	{13:1--13:16},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-387-4},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{135},
  editor =	{Baptista, Jorge and Barateiro, Jos\'{e}},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2025.13},
  URN =		{urn:nbn:de:0030-drops-236933},
  doi =		{10.4230/OASIcs.SLATE.2025.13},
  annote =	{Keywords: Software Repository Mining, Source Version Control, GitHub Scraping, Programming Cocktails}
}
Document
DOI: 10.4230/OASIcs.SLATE.2025.2
A DSL for Swarm Intelligence Algorithms

Authors: Kevin Martins and Rui Mendes

Published in: OASIcs, Volume 135, 14th Symposium on Languages, Applications and Technologies (SLATE 2025)

Abstract
We propose a domain-specific language to simplify the expression of Swarm Intelligence algorithms. These algorithms are typically introduced through metaphors, requiring practitioners to manually translate them into low-level implementations.This process can obscure intent and hinder reproducibility. The proposed DSL bridges this gap by capturing algorithmic behavior at a higher level of abstraction. We demonstrate its expressiveness in a few lines of code and evaluate its feasibility through a reference implementation. A discussion is presented that includes empirical comparisons with traditional implementations and future directions of the proposed DSL.
Cite as

Kevin Martins and Rui Mendes. A DSL for Swarm Intelligence Algorithms. In 14th Symposium on Languages, Applications and Technologies (SLATE 2025). Open Access Series in Informatics (OASIcs), Volume 135, pp. 2:1-2:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{martins_et_al:OASIcs.SLATE.2025.2,
  author =	{Martins, Kevin and Mendes, Rui},
  title =	{{A DSL for Swarm Intelligence Algorithms}},
  booktitle =	{14th Symposium on Languages, Applications and Technologies (SLATE 2025)},
  pages =	{2:1--2:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-387-4},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{135},
  editor =	{Baptista, Jorge and Barateiro, Jos\'{e}},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2025.2},
  URN =		{urn:nbn:de:0030-drops-236826},
  doi =		{10.4230/OASIcs.SLATE.2025.2},
  annote =	{Keywords: Domain Specific Languages, Swarm Intelligence, Global Optimization}
}
Document
DOI: 10.4230/OASIcs.SLATE.2025.5
CVTool: Automating Content Variants of CVs

Authors: Julio Beites Gonçalves, Maria João Varanda Pereira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 135, 14th Symposium on Languages, Applications and Technologies (SLATE 2025)

Abstract
As academic professionals, we frequently need to create different versions of our CVs for project applications, career evaluations, or competitions. These versions may be chronologically structured or skill-oriented, covering specific periods and written in various languages. Even when using a LaTeX document as a base, numerous modifications are required each time an updated CV version is requested for a specific purpose. The primary objective of the project reported in this paper is to design and implement a web-based system (CVTool) that simplifies the management of LaTeX CV content while ensuring flexibility. The CVTool is built on a domain-specific language that enables the creation of various filters, allowing for the automatic content adjustment while preserving the original format. Information is extracted from the LaTeX document, and users can specify the sections, dates, skills they want to highlight, and the language in which the CV should be generated. Since the approach relies on an internal data representation derived from the original LaTeX document, it offers users the flexibility to manage content efficiently and extract the necessary information with ease.
Cite as

Julio Beites Gonçalves, Maria João Varanda Pereira, and Pedro Rangel Henriques. CVTool: Automating Content Variants of CVs. In 14th Symposium on Languages, Applications and Technologies (SLATE 2025). Open Access Series in Informatics (OASIcs), Volume 135, pp. 5:1-5:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{goncalves_et_al:OASIcs.SLATE.2025.5,
  author =	{Gon\c{c}alves, Julio Beites and Pereira, Maria Jo\~{a}o Varanda and Henriques, Pedro Rangel},
  title =	{{CVTool: Automating Content Variants of CVs}},
  booktitle =	{14th Symposium on Languages, Applications and Technologies (SLATE 2025)},
  pages =	{5:1--5:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-387-4},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{135},
  editor =	{Baptista, Jorge and Barateiro, Jos\'{e}},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2025.5},
  URN =		{urn:nbn:de:0030-drops-236855},
  doi =		{10.4230/OASIcs.SLATE.2025.5},
  annote =	{Keywords: Latex CV, CV Versioning, DSL, CV Parsing, CV Templates}
}
Document
DOI: 10.4230/OASIcs.NG-RES.2025.5
SP-IMPact: A Framework for Static Partitioning Interference Mitigation and Performance Analysis

Authors: Diogo Costa, Gonçalo Moreira, Afonso Oliveira, José Martins, and Sandro Pinto

Published in: OASIcs, Volume 128, Sixth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2025)

Abstract
Modern embedded systems are evolving toward complex, heterogeneous architectures to accommodate increasingly demanding applications. Driven by industry SWAP-C (Size, Weight, Power, and Cost) constraints, this shift has led to the consolidation of multiple systems onto single hardware platforms. Static Partitioning Hypervisors (SPHs) offer a promising solution to partition hardware resources and provide spatial isolation between critical workloads. However, shared hardware resources like the Last-Level Cache (LLC) and system bus can introduce significant temporal interference between virtual machines (VMs), negatively impacting performance and predictability. Over the past decade, academia and industry have focused on developing interference mitigation techniques, such as cache partitioning and memory bandwidth reservation. Configuring these techniques, however, is complex and time-consuming. Cache partitioning requires careful balancing of cache sections across VMs, while memory bandwidth reservation requires tuning bandwidth budgets and periods. With numerous possible configurations, testing all combinations is impractical and often leads to suboptimal configurations. Moreover, there is a gap in understanding how these techniques interact, as their combined use can result in compounded or conflicting effects on system performance. Static analysis solutions that estimate worst-case execution times (WCET) and upper bounds on execution times provide some guidance for configuring interference mitigation techniques. While useful in identifying potential interference effects, these tools often fail to capture the full complexity of modern multi-core systems, as they typically focus on a limited set of shared resources and neglect other sources of contention, such as IOMMUs and interrupt controllers. To address these challenges, we introduce SP-IMPact, an open-source framework designed to analyze and guide the configuration of interference mitigation techniques, through the deployment of diverse VM configurations and setups, and assessment of hardware-level contention (leveraging SPHs). It supports two mitigation techniques: (i) cache coloring and (ii) memory bandwidth reservation, while also evaluating the interactions between these techniques and their cumulative impact on system performance. By providing insights on real hardware platforms, SP-IMPact helps to optimize the configuration of these techniques in mixed-criticality systems, ensuring both performance and predictability.
Cite as

Diogo Costa, Gonçalo Moreira, Afonso Oliveira, José Martins, and Sandro Pinto. SP-IMPact: A Framework for Static Partitioning Interference Mitigation and Performance Analysis. In Sixth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2025). Open Access Series in Informatics (OASIcs), Volume 128, pp. 5:1-5:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{costa_et_al:OASIcs.NG-RES.2025.5,
  author =	{Costa, Diogo and Moreira, Gon\c{c}alo and Oliveira, Afonso and Martins, Jos\'{e} and Pinto, Sandro},
  title =	{{SP-IMPact: A Framework for Static Partitioning Interference Mitigation and Performance Analysis}},
  booktitle =	{Sixth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2025)},
  pages =	{5:1--5:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-366-9},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{128},
  editor =	{Yomsi, Patrick Meumeu and Wildermann, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2025.5},
  URN =		{urn:nbn:de:0030-drops-229911},
  doi =		{10.4230/OASIcs.NG-RES.2025.5},
  annote =	{Keywords: Virtualization, Contention, Multi-core Interference, Mixed-Criticality Systems, Arm}
}
Document
DOI: 10.4230/OASIcs.SLATE.2022.2
Automatic Classification of Portuguese Proverbs

Authors: Jorge Baptista and Sónia Reis

Published in: OASIcs, Volume 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022)

Abstract
In this paper, natural language processing (NLP) and machine learning methods and tools are applied to the task of topic (thematic or semantic) classification of Portuguese proverbs. This is a difficult task since proverbs are usually very short sentences. Such classification should allow an easier selection of the most relevant proverbs for a given situation, considering their context in discourse or within a text. For that, we used, on the one hand, a collection of +32,000 proverbial expressions organized "thematically" into a large set of previously attributed topics (+2,200) and, on the other hand, the Orange data mining toolkit, along with the NLP and machine learning tools it provides. Since the classification provided in the collection of proverbs is, for the most part, based only on a keyword in the body of the proverbs, 2 experiments were set up, to determine the feasibility of the task with a modicum of effort and the most promising configurations applicable. Different sample sizes, 100 and 50 proverbs randomly selected per topic, corresponding to Scenario 1 and 2, respectively, were contrasted; several preprocessing strategies were explored, and different data representation methods tested against several learning algorithms. Results show that Neural Networks is the best performing model, achieving the best classification accuracy of 70% and 61%, in the two different experimental scenarios, Scenario 1 and 2, respectively. Some of the inaccurate classification cases seem to indicate that the machine learning approach can sometimes do a better job than a human classifier, especially considering the manual attribution of the topics by the collection’s author, the sheer number of topics involved, and the very unbalanced distribution of proverbs per topic. Based on the results achieved, the paper presents some proposals for future work to cope with such difficulties.
Cite as

Jorge Baptista and Sónia Reis. Automatic Classification of Portuguese Proverbs. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 2:1-2:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{baptista_et_al:OASIcs.SLATE.2022.2,
  author =	{Baptista, Jorge and Reis, S\'{o}nia},
  title =	{{Automatic Classification of Portuguese Proverbs}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{2:1--2:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-245-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{104},
  editor =	{Cordeiro, Jo\~{a}o and Pereira, Maria Jo\~{a}o and Rodrigues, Nuno F. and Pais, Sebasti\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2022.2},
  URN =		{urn:nbn:de:0030-drops-167480},
  doi =		{10.4230/OASIcs.SLATE.2022.2},
  annote =	{Keywords: Portuguese Proverbs, Automatic Topic Classification, Machine Learning}
}
Document
DOI: 10.4230/OASIcs.LDK.2021.19
Automatic Construction of Knowledge Graphs from Text and Structured Data: A Preliminary Literature Review

Authors: Maraim Masoud, Bianca Pereira, John McCrae, and Paul Buitelaar

Published in: OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)

Abstract
Knowledge graphs have been shown to be an important data structure for many applications, including chatbot development, data integration, and semantic search. In the enterprise domain, such graphs need to be constructed based on both structured (e.g. databases) and unstructured (e.g. textual) internal data sources; preferentially using automatic approaches due to the costs associated with manual construction of knowledge graphs. However, despite the growing body of research that leverages both structured and textual data sources in the context of automatic knowledge graph construction, the research community has centered on either one type of source or the other. In this paper, we conduct a preliminary literature review to investigate approaches that can be used for the integration of textual and structured data sources in the process of automatic knowledge graph construction. We highlight the solutions currently available for use within enterprises and point areas that would benefit from further research.
Cite as

Maraim Masoud, Bianca Pereira, John McCrae, and Paul Buitelaar. Automatic Construction of Knowledge Graphs from Text and Structured Data: A Preliminary Literature Review. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 19:1-19:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{masoud_et_al:OASIcs.LDK.2021.19,
  author =	{Masoud, Maraim and Pereira, Bianca and McCrae, John and Buitelaar, Paul},
  title =	{{Automatic Construction of Knowledge Graphs from Text and Structured Data: A Preliminary Literature Review}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{19:1--19:9},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.19},
  URN =		{urn:nbn:de:0030-drops-145556},
  doi =		{10.4230/OASIcs.LDK.2021.19},
  annote =	{Keywords: Knowledge Graph Construction, Enterprise Knowledge Graph}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.3
Major Minors - Ontological Representation of Minorities by Newspapers

Authors: Paulo Jorge Pereira Martins, Leandro José Abreu Dias Costa, and José Carlos Ramalho

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
The stigma associated with certain minorities has changed throughout the years, yet there’s no central data repository that enables a concrete tracking of this representation. Published articles on renowned newspapers are a way of determining the public perception on this subject, mainly digital newspapers, being it through the media representation (text and photo illustrations) or user comments. The present paper seeks to showcase a project that attempts to fulfill that shortage of data by providing a repository in the form of an ontology: RDF triplestores composing a semantic database (W3C standards for Semantic Web). This open-source project aims to be a research tool for mapping and studying the representation of minority groups in a Portuguese journalistic context over the course of two decades.
Cite as

Paulo Jorge Pereira Martins, Leandro José Abreu Dias Costa, and José Carlos Ramalho. Major Minors - Ontological Representation of Minorities by Newspapers. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 3:1-3:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{martins_et_al:OASIcs.SLATE.2021.3,
  author =	{Martins, Paulo Jorge Pereira and Costa, Leandro Jos\'{e} Abreu Dias and Ramalho, Jos\'{e} Carlos},
  title =	{{Major Minors - Ontological Representation of Minorities by Newspapers}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{3:1--3:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.3},
  URN =		{urn:nbn:de:0030-drops-144201},
  doi =		{10.4230/OASIcs.SLATE.2021.3},
  annote =	{Keywords: RDF, OWL, Ontologies, Knowledge Representation, Minorities}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2017.4
LTZVisor: TrustZone is the Key

Authors: Sandro Pinto, Jorge Pereira, Tiago Gomes, Adriano Tavares, and Jorge Cabral

Published in: LIPIcs, Volume 76, 29th Euromicro Conference on Real-Time Systems (ECRTS 2017)

Abstract
Virtualization technology starts becoming more and more widespread in the embedded systems arena, driven by the upward trend for integrating multiple environments into the same hardware platform. The penalties incurred by standard software-based virtualization, altogether with the strict timing requirements imposed by real-time virtualization are pushing research towards hardware-assisted solutions. Among existing commercial off-the-shelf (COTS) technologies, ARM TrustZone promises to be a game-changer for virtualization, despite of this technology still being seen with a lot of obscurity and scepticism. In this paper we present a Lightweight TrustZone-assisted Hypervisor (LTZVisor) as a tool to understand, evaluate and discuss the benefits and limitations of using TrustZone hardware to assist virtualization. We demonstrate how TrustZone can be adequately exploited for meeting the real-time needs, while presenting a low performance cost on running unmodified rich operating systems. While ARM continues to spread TrustZone technology from the applications processors to the smallest of microcontrollers, it is undeniable that this technology is gaining an increasing relevance. Our intent is to encourage research and drive the next generation of TrustZone-assisted virtualization solutions.
Cite as

Sandro Pinto, Jorge Pereira, Tiago Gomes, Adriano Tavares, and Jorge Cabral. LTZVisor: TrustZone is the Key. In 29th Euromicro Conference on Real-Time Systems (ECRTS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 76, pp. 4:1-4:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{pinto_et_al:LIPIcs.ECRTS.2017.4,
  author =	{Pinto, Sandro and Pereira, Jorge and Gomes, Tiago and Tavares, Adriano and Cabral, Jorge},
  title =	{{LTZVisor: TrustZone is the Key}},
  booktitle =	{29th Euromicro Conference on Real-Time Systems (ECRTS 2017)},
  pages =	{4:1--4:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-037-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{76},
  editor =	{Bertogna, Marko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2017.4},
  URN =		{urn:nbn:de:0030-drops-71535},
  doi =		{10.4230/LIPIcs.ECRTS.2017.4},
  annote =	{Keywords: hypervisor, virtualization, TrustZone, space and time partitioning, real-time, embedded systems}
}
Document
DOI: 10.4230/OASIcs.SLATE.2014.225
Automatic Identification of Whole-Part Relations in Portuguese

Authors: Ilia Markov, Nuno Mamede, and Jorge Baptista

Published in: OASIcs, Volume 38, 3rd Symposium on Languages, Applications and Technologies (2014)

Abstract
In this paper, we improve the extraction of semantic relations between textual elements as it is currently performed by STRING, a hybrid statistical and rule-based Natural Language Processing chain for Portuguese, by targeting whole-part relations (meronymy), that is, a semantic relation between an entity that is perceived as a constituent part of another entity, or a member of a set. In this case, we focus on the type of meronymy involving human entities and body-part nouns.
Cite as

Ilia Markov, Nuno Mamede, and Jorge Baptista. Automatic Identification of Whole-Part Relations in Portuguese. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 225-232, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@InProceedings{markov_et_al:OASIcs.SLATE.2014.225,
  author =	{Markov, Ilia and Mamede, Nuno and Baptista, Jorge},
  title =	{{Automatic Identification of Whole-Part Relations in Portuguese}},
  booktitle =	{3rd Symposium on Languages, Applications and Technologies},
  pages =	{225--232},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-68-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{38},
  editor =	{Pereira, Maria Jo\~{a}o Varanda and Leal, Jos\'{e} Paulo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.225},
  URN =		{urn:nbn:de:0030-drops-45723},
  doi =		{10.4230/OASIcs.SLATE.2014.225},
  annote =	{Keywords: whole-part relation, meronymy, body-part noun, disease noun, Portuguese}
}
Document
DOI: 10.4230/OASIcs.SLATE.2014.235
Automatic Detection of Proverbs and their Variants

Authors: Amanda P. Rassi, Jorge Baptista, and Oto Vale

Published in: OASIcs, Volume 38, 3rd Symposium on Languages, Applications and Technologies (2014)

Abstract
This article presents the task of automatic detection of proverbs in Brazilian Portuguese, from the intersection of the regular syntactic structure of proverbs and their core elements. We created finite-state automata that enabled us to look for these word combinations in running texts. The rationale behind this method consists in the fact that although proverbs may have a normal sentence structure and often a very commonly used lexicon, their specific word-combinations may enables us to identify them and their variants irrespective of the syntactic or structural changes the proverb may undergo. The goal of this task is to gather the largest number of proverbs and their variants. The results showed precision 60.15%.
Cite as

Amanda P. Rassi, Jorge Baptista, and Oto Vale. Automatic Detection of Proverbs and their Variants. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 235-249, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@InProceedings{rassi_et_al:OASIcs.SLATE.2014.235,
  author =	{Rassi, Amanda P. and Baptista, Jorge and Vale, Oto},
  title =	{{Automatic Detection of Proverbs and their Variants}},
  booktitle =	{3rd Symposium on Languages, Applications and Technologies},
  pages =	{235--249},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-68-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{38},
  editor =	{Pereira, Maria Jo\~{a}o Varanda and Leal, Jos\'{e} Paulo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.235},
  URN =		{urn:nbn:de:0030-drops-45738},
  doi =		{10.4230/OASIcs.SLATE.2014.235},
  annote =	{Keywords: Brazilian Portuguese, proverbs, syntactic structure, core element, variation}
}
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