9 Search Results for "Oliveira, Nuno"


Document
Question Answering For Toxicological Information Extraction

Authors: Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, and Catarina Silva

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


Abstract
Working with large amounts of text data has become hectic and time-consuming. In order to reduce human effort, costs, and make the process more efficient, companies and organizations resort to intelligent algorithms to automate and assist the manual work. This problem is also present in the field of toxicological analysis of chemical substances, where information needs to be searched from multiple documents. That said, we propose an approach that relies on Question Answering for acquiring information from unstructured data, in our case, English PDF documents containing information about physicochemical and toxicological properties of chemical substances. Experimental results confirm that our approach achieves promising results which can be applicable in the business scenario, especially if further revised by humans.

Cite as

Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, and Catarina Silva. Question Answering For Toxicological Information Extraction. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 3:1-3:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@InProceedings{ferreira_et_al:OASIcs.SLATE.2022.3,
  author =	{Ferreira, Bruno Carlos Lu{\'\i}s and Gon\c{c}alo Oliveira, Hugo and Amaro, Hugo and Laranjeiro, \^{A}ngela and Silva, Catarina},
  title =	{{Question Answering For Toxicological Information Extraction}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{3:1--3:10},
  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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2022.3},
  URN =		{urn:nbn:de:0030-drops-167493},
  doi =		{10.4230/OASIcs.SLATE.2022.3},
  annote =	{Keywords: Information Extraction, Question Answering, Transformers, Toxicological Analysis}
}
Document
Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs

Authors: Hugo Gonçalo Oliveira, Sara Inácio, and Catarina Silva

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


Abstract
Following the current interest in developing automatic question answering systems, we analyse alternative approaches for finding suitable answers from a list of Frequently Asked Questions (FAQs), in Portuguese. These rely on different technologies, some more established and others more recent, and are all easily adaptable to new lists of FAQs, on new domains. We analyse the effort required for their configuration, the accuracy of their answers, and the time they take to get such answers. We conclude that traditional Information Retrieval (IR) can be a solution for smaller lists of FAQs, but approaches based on deep neural networks for sentence encoding are at least as reliable and less dependent on the number and complexity of the FAQs. We also contribute with a small dataset of Portuguese FAQs on the domain of telecommunications, which was used in our experiments.

Cite as

Hugo Gonçalo Oliveira, Sara Inácio, and Catarina Silva. Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 19:1-19:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@InProceedings{goncalooliveira_et_al:OASIcs.SLATE.2022.19,
  author =	{Gon\c{c}alo Oliveira, Hugo and In\'{a}cio, Sara and Silva, Catarina},
  title =	{{Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{19:1--19:11},
  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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2022.19},
  URN =		{urn:nbn:de:0030-drops-167652},
  doi =		{10.4230/OASIcs.SLATE.2022.19},
  annote =	{Keywords: Natural Language Processing, Portuguese, Question Answering, FAQs, Information Retrieval, Sentence Encoding, Transformers}
}
Document
Using Machine Learning for Vulnerability Detection and Classification

Authors: Tiago Baptista, Nuno Oliveira, and Pedro Rangel Henriques

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


Abstract
The work described in this paper aims at developing a machine learning based tool for automatic identification of vulnerabilities on programs (source, high level code), that uses an abstract syntax tree representation. It is based on FastScan, using code2seq approach. Fastscan is a recently developed system aimed capable of detecting vulnerabilities in source code using machine learning techniques. Nevertheless, FastScan is not able of identifying the vulnerability type. In the presented work the main goal is to go further and develop a method to identify specific types of vulnerabilities. As will be shown, the goal will be achieved by optimizing the model’s hyperparameters, changing the method of preprocessing the input data and developing an architecture that brings together multiple models to predict different specific vulnerabilities. The preliminary results obtained from the training stage, are very promising. The best f1 metric obtained is 93% resulting in a precision of 90% and accuracy of 85%, according to the performed tests and regarding a trained model to predict vulnerabilities of the injection type.

Cite as

Tiago Baptista, Nuno Oliveira, and Pedro Rangel Henriques. Using Machine Learning for Vulnerability Detection and Classification. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 14:1-14:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{baptista_et_al:OASIcs.SLATE.2021.14,
  author =	{Baptista, Tiago and Oliveira, Nuno and Henriques, Pedro Rangel},
  title =	{{Using Machine Learning for Vulnerability Detection and Classification}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{14:1--14:14},
  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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.14},
  URN =		{urn:nbn:de:0030-drops-144315},
  doi =		{10.4230/OASIcs.SLATE.2021.14},
  annote =	{Keywords: Vulnerability Detection, Source Code Analysis, Machine Learning}
}
Document
Towards European Portuguese Conversational Assistants for Smart Homes

Authors: Maksym Ketsmur, António Teixeira, Nuno Almeida, and Samuel Silva

Published in: OASIcs, Volume 74, 8th Symposium on Languages, Applications and Technologies (SLATE 2019)


Abstract
Nowadays, smart environments, such as Smart Homes, are becoming a reality, due to the access to a wide variety of smart devices at a low cost. These devices are connected to the home network and inhabitants can interact with them using smartphones, tablets and smart assistants, a feature with rising popularity. The diversity of devices, the user’s expectations regarding Smart Homes, and assistants' requirements pose several challenges. In this context, a Smart Home Assistant capable of conversation and device integration can be a valuable help to the inhabitants, not only for smart device control, but also to obtain valuable information and have a broader picture of how the house and its devices behave. This paper presents the current stage of development of one such assistant, targeting European Portuguese, not only supporting the control of home devices, but also providing a potentially more natural way to access a variety of information regarding the home and its devices. The development has been made in the scope of Smart Green Homes (SGH) project.

Cite as

Maksym Ketsmur, António Teixeira, Nuno Almeida, and Samuel Silva. Towards European Portuguese Conversational Assistants for Smart Homes. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 5:1-5:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


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@InProceedings{ketsmur_et_al:OASIcs.SLATE.2019.5,
  author =	{Ketsmur, Maksym and Teixeira, Ant\'{o}nio and Almeida, Nuno and Silva, Samuel},
  title =	{{Towards European Portuguese Conversational Assistants for Smart Homes}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{5:1--5:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-114-6},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{74},
  editor =	{Rodrigues, Ricardo and Janou\v{s}ek, Jan and Ferreira, Lu{\'\i}s and Coheur, Lu{\'\i}sa and Batista, Fernando and Gon\c{c}alo Oliveira, Hugo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2019.5},
  URN =		{urn:nbn:de:0030-drops-108725},
  doi =		{10.4230/OASIcs.SLATE.2019.5},
  annote =	{Keywords: Smart Homes, Conversational Assistants, Ontology}
}
Document
ReCooPLa: a DSL for Coordination-based Reconfiguration of Software Architectures

Authors: Flávio Rodrigues, Nuno Oliveira, and Luís S. Barbosa

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


Abstract
In production environments where change is the rule rather than the exception, adaptation of software plays an important role. Such adaptations presuppose dynamic reconfiguration of the system architecture, however, it is in the static setting (design-phase) that such reconfigurations must be designed and analysed, to preclude erroneous evolutions. Modern software systems, which are built from the coordinated composition of loosely-coupled software components, are naturally adaptable; and coordination specification is, usually, the main reference point to inserting changes in these systems. In this paper, a domain-specific language—-referred to as ReCooPLa--is proposed to design reconfigurations that change the coordination structures, so that they are analysed before being applied in run time. Moreover, a reconfiguration engine is introduced, that takes conveniently translated ReCooPLa specifications and applies them to coordination structures.

Cite as

Flávio Rodrigues, Nuno Oliveira, and Luís S. Barbosa. ReCooPLa: a DSL for Coordination-based Reconfiguration of Software Architectures. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 61-76, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


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@InProceedings{rodrigues_et_al:OASIcs.SLATE.2014.61,
  author =	{Rodrigues, Fl\'{a}vio and Oliveira, Nuno and Barbosa, Lu{\'\i}s S.},
  title =	{{ReCooPLa: a DSL for Coordination-based Reconfiguration of Software Architectures}},
  booktitle =	{3rd Symposium on Languages, Applications and Technologies},
  pages =	{61--76},
  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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.61},
  URN =		{urn:nbn:de:0030-drops-45593},
  doi =		{10.4230/OASIcs.SLATE.2014.61},
  annote =	{Keywords: domain-specific languages, architectural reconfiguration, coordination}
}
Document
Unfuzzying Fuzzy Parsing

Authors: Pedro Carvalho, Nuno Oliveira, and Pedro Rangel Henriques

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


Abstract
Traditional parsing has always been a focus of discussion among the computer science community. Numerous techniques and algorithms have been proposed along these years, but they require that input texts are correct according to a specific grammar. However, in some cases it's necessary to cope with incorrect or unpredicted inputs that raise ambiguities, making traditional parsing unsuitable. These situations led to the emergence of robust parsing theories, where fuzzy parsing gains relevance. Robust parsing comes with a price by losing precision and decaying performance, as multiple parses of the input may be necessary while looking for an optimal one. In this short paper we briefly describe the main robust parsing techniques and end up proposing a different solution to deal with fuzziness of input texts. It is based on automata where states represent contexts and edges represent potential matches (of constructs of interest) inside those contexts. It is expected that such an approach reduces recognition time and ambiguity as contexts reduce the search space by defining a smaller domain for constructs of interest. Such benefits may be a great addition to the robust parsing area with application on program comprehension, among other research fields.

Cite as

Pedro Carvalho, Nuno Oliveira, and Pedro Rangel Henriques. Unfuzzying Fuzzy Parsing. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 101-108, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


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@InProceedings{carvalho_et_al:OASIcs.SLATE.2014.101,
  author =	{Carvalho, Pedro and Oliveira, Nuno and Henriques, Pedro Rangel},
  title =	{{Unfuzzying Fuzzy Parsing}},
  booktitle =	{3rd Symposium on Languages, Applications and Technologies},
  pages =	{101--108},
  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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.101},
  URN =		{urn:nbn:de:0030-drops-45637},
  doi =		{10.4230/OASIcs.SLATE.2014.101},
  annote =	{Keywords: robust parsing, fuzzy parsing, automata}
}
Document
Choosing Grammars to Support Language Processing Courses

Authors: Maria João Varanda Pereira, Nuno Oliveira, Daniela da Cruz, and Pedro Rangel Henriques

Published in: OASIcs, Volume 29, 2nd Symposium on Languages, Applications and Technologies (2013)


Abstract
Teaching Language Processing courses is a hard task. The level of abstraction inherent to some of the basic concepts in the area and the technical skills required to implement efficient processors are responsible for the number of students that do not learn the subject and do not succeed to finish the course. In this paper we intend to list the main concepts involved in Language Processing subject, and identify the skills required to learn them. In this context, it is feasible to identify the difficulties that lead students to fail. This enables us to suggest some pragmatic ways to overcome those troubles. We will focus on the grammars suitable to motivate students and help them to learn easily the basic concepts. After identifying the characteristics of such grammars, some examples are presented to make concrete and clear our proposal. The contribution of this paper is the systematic way we approach the process of teaching Language Processing courses towards a successful learning activity.

Cite as

Maria João Varanda Pereira, Nuno Oliveira, Daniela da Cruz, and Pedro Rangel Henriques. Choosing Grammars to Support Language Processing Courses. In 2nd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 29, pp. 155-168, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)


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@InProceedings{pereira_et_al:OASIcs.SLATE.2013.155,
  author =	{Pereira, Maria Jo\~{a}o Varanda and Oliveira, Nuno and Cruz, Daniela da and Henriques, Pedro Rangel},
  title =	{{Choosing Grammars to Support Language Processing Courses}},
  booktitle =	{2nd Symposium on Languages, Applications and Technologies},
  pages =	{155--168},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-52-1},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{29},
  editor =	{Leal, Jos\'{e} Paulo and Rocha, Ricardo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2013.155},
  URN =		{urn:nbn:de:0030-drops-40369},
  doi =		{10.4230/OASIcs.SLATE.2013.155},
  annote =	{Keywords: Teaching Language Processing, Domain Specific Languages, Grammars}
}
Document
Problem Domain Oriented Approach for Program Comprehension

Authors: Maria João Varanda Pereira, Mario Marcelo Beron, Daniela da Cruz, Nuno Oliveira, and Pedro Rangel Henriques

Published in: OASIcs, Volume 21, 1st Symposium on Languages, Applications and Technologies (2012)


Abstract
This paper is concerned with an ontology driven approach for Program Comprehension that starts picking up concepts from the problem domain ontology, analyzing source code and, after locating problem concepts in the code, goes up and links them to the programming language ontology. Different location techniques are used to search for concepts embedded in comments, in the code (identifier names and execution traces), and in string-literals associated with I/O statements. The expected result is a mapping between problem domain concepts and code slices. This mapping can be visualized using graph-based approaches like, for instance, navigation facilities through a System Dependency Graph. The paper also describes a PCTool suite, Quixote, that implements the approach proposed.

Cite as

Maria João Varanda Pereira, Mario Marcelo Beron, Daniela da Cruz, Nuno Oliveira, and Pedro Rangel Henriques. Problem Domain Oriented Approach for Program Comprehension. In 1st Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 21, pp. 91-105, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{varandapereira_et_al:OASIcs.SLATE.2012.91,
  author =	{Varanda Pereira, Maria Jo\~{a}o and Beron, Mario Marcelo and da Cruz, Daniela and Oliveira, Nuno and Henriques, Pedro Rangel},
  title =	{{Problem Domain Oriented Approach for Program Comprehension}},
  booktitle =	{1st Symposium on Languages, Applications and Technologies},
  pages =	{91--105},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-40-8},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{21},
  editor =	{Sim\~{o}es, Alberto and Queir\'{o}s, Ricardo and da Cruz, Daniela},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2012.91},
  URN =		{urn:nbn:de:0030-drops-35161},
  doi =		{10.4230/OASIcs.SLATE.2012.91},
  annote =	{Keywords: Program Comprehension, Ontology-based SW development, Problem and Program domain mapping, Code Analysis. Software Visualization}
}
Document
Learning Spaces for Knowledge Generation

Authors: Nuno Oliveira, Maria João Varanda Pereira, Alda Lopes Gancarski, and Pedro Rangel Henriques

Published in: OASIcs, Volume 21, 1st Symposium on Languages, Applications and Technologies (2012)


Abstract
As the Internet is becoming the main point for information access, Libraries, Museums and similar Institutions are preserving their collections as digital object repositories. In that way, the important information associated with digital objects may be delivered as Internet content over portals equipped with modern interfaces and navigation features. This enables the virtualization of real information exhibition spaces rising new learning paradigms. Geny is a project aiming at defining domain-specific languages and developing tools to generate web-based learning spaces from existent digital object repositories and associated semantic. The motto for Geny is "Generating learning spaces to generate knowledge". Our objective within this project is to use (i) ontologies - one to give semantics to the digital object repository and another to describe the information to exhibit - and (ii) special languages to define the exhibition space, to enable the automatic construction of the learning space supported by a web browser. This paper presents the proposal of the Geny project along with a review of the state of the art concerning learning spaces and their virtualization. Geny is, currently, under appreciation by Fundação para a Ciêencia e a Tecnologia (FCT), the main Portuguese scientific funding institution.

Cite as

Nuno Oliveira, Maria João Varanda Pereira, Alda Lopes Gancarski, and Pedro Rangel Henriques. Learning Spaces for Knowledge Generation. In 1st Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 21, pp. 175-184, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InProceedings{oliveira_et_al:OASIcs.SLATE.2012.175,
  author =	{Oliveira, Nuno and Varanda Pereira, Maria Jo\~{a}o and Gancarski, Alda Lopes and Henriques, Pedro Rangel},
  title =	{{Learning Spaces for Knowledge Generation}},
  booktitle =	{1st Symposium on Languages, Applications and Technologies},
  pages =	{175--184},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-40-8},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{21},
  editor =	{Sim\~{o}es, Alberto and Queir\'{o}s, Ricardo and da Cruz, Daniela},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2012.175},
  URN =		{urn:nbn:de:0030-drops-35228},
  doi =		{10.4230/OASIcs.SLATE.2012.175},
  annote =	{Keywords: Learning Spaces, Knowledge Acquisition, Digital Object Repositories, Ontology-based semantic Web-pages Generation}
}
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