4 Search Results for "Cardoso, Jorge"

Document
DOI: 10.4230/OASIcs.LDK.2021.15
Enriching Word Embeddings with Food Knowledge for Ingredient Retrieval

Authors: Álvaro Mendes Samagaio, Henrique Lopes Cardoso, and David Ribeiro

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

Abstract
Smart assistants and recommender systems must deal with lots of information coming from different sources and having different formats. This is more frequent in text data, which presents increased variability and complexity, and is rather common for conversational assistants or chatbots. Moreover, this issue is very evident in the food and nutrition lexicon, where the semantics present increased variability, namely due to hypernyms and hyponyms. This work describes the creation of a set of word embeddings based on the incorporation of information from a food thesaurus - LanguaL - through retrofitting. The ingredients were classified according to three different facet label groups. Retrofitted embeddings seem to properly encode food-specific knowledge, as shown by an increase on accuracy as compared to generic embeddings (+23%, +10% and +31% per group). Moreover, a weighing mechanism based on TF-IDF was applied to embedding creation before retrofitting, also bringing an increase on accuracy (+5%, +9% and +5% per group). Finally, the approach has been tested with human users in an ingredient retrieval exercise, showing very positive evaluation (77.3% of the volunteer testers preferred this method over a string-based matching algorithm).
Cite as

Álvaro Mendes Samagaio, Henrique Lopes Cardoso, and David Ribeiro. Enriching Word Embeddings with Food Knowledge for Ingredient Retrieval. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 15:1-15:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{samagaio_et_al:OASIcs.LDK.2021.15,
  author =	{Samagaio, \'{A}lvaro Mendes and Lopes Cardoso, Henrique and Ribeiro, David},
  title =	{{Enriching Word Embeddings with Food Knowledge for Ingredient Retrieval}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{15:1--15:15},
  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.2021.15},
  URN =		{urn:nbn:de:0030-drops-145510},
  doi =		{10.4230/OASIcs.LDK.2021.15},
  annote =	{Keywords: Word embeddings, Retrofitting, LanguaL, Food Embeddings, Knowledge Graph}
}
Document
DOI: 10.4230/OASIcs.LDK.2021.25
Inconsistency Detection in Job Postings

Authors: Joana Urbano, Miguel Couto, Gil Rocha, and Henrique Lopes Cardoso

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

Abstract
The use of AI in recruitment is growing and there is AI software that reads jobs' descriptions in order to select the best candidates for these jobs. However, it is not uncommon for these descriptions to contain inconsistencies such as contradictions and ambiguities, which confuses job candidates and fools the AI algorithm. In this paper, we present a model based on natural language processing (NLP), machine learning (ML), and rules to detect these inconsistencies in the description of language requirements and to alert the recruiter to them, before the job posting is published. We show that the use of an hybrid model based on ML techniques and a set of domain-specific rules to extract the language details from sentences achieves high performance in the detection of inconsistencies.
Cite as

Joana Urbano, Miguel Couto, Gil Rocha, and Henrique Lopes Cardoso. Inconsistency Detection in Job Postings. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 25:1-25:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{urbano_et_al:OASIcs.LDK.2021.25,
  author =	{Urbano, Joana and Couto, Miguel and Rocha, Gil and Lopes Cardoso, Henrique},
  title =	{{Inconsistency Detection in Job Postings}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{25:1--25:16},
  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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.25},
  URN =		{urn:nbn:de:0030-drops-145612},
  doi =		{10.4230/OASIcs.LDK.2021.25},
  annote =	{Keywords: NLP, Ambiguities, Contradictions, Recruitment software}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2020.4
Use of Automatic Code Assessment Tools in the Programming Teaching Process

Authors: Marílio Cardoso, António Vieira de Castro, Álvaro Rocha, Emanuel Silva, and Jorge Mendonça

Published in: OASIcs, Volume 81, First International Computer Programming Education Conference (ICPEC 2020)

Abstract
The teaching of programming process is essential to prepare students for the development of computer applications and software solutions. During the last decade, a variety of tools facilitating automatic validation of programming code have been developed. In this context, authors start to analyze and studying some tools with this potential and a possible use with pedagogical purposes. For the last three years a study has been carried out related with the implementation of VPL (Virtual Programming Lab) a plug-in developed specifically for Moodle (Modular Object-Oriented Dynamic Learning Environment) on a Java-based programming discipline during the Informatics Engineering degree of the Informatics Engineering Department (DEI) from the School of Engineering of Polytechnic Institute of Porto (ISEP/P.PORTO). This paper will present how VPL was introduced and some results of this experiment before the implementation in the learning process of another tool (Mooshak) as a real-time automatic code evaluation. These tools allow to edit and execute programs, in a large range of languages, and enables automatic assessment and prompt feedback.
Cite as

Marílio Cardoso, António Vieira de Castro, Álvaro Rocha, Emanuel Silva, and Jorge Mendonça. Use of Automatic Code Assessment Tools in the Programming Teaching Process. In First International Computer Programming Education Conference (ICPEC 2020). Open Access Series in Informatics (OASIcs), Volume 81, pp. 4:1-4:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{cardoso_et_al:OASIcs.ICPEC.2020.4,
  author =	{Cardoso, Mar{\'\i}lio and de Castro, Ant\'{o}nio Vieira and Rocha, \'{A}lvaro and Silva, Emanuel and Mendon\c{c}a, Jorge},
  title =	{{Use of Automatic Code Assessment Tools in the Programming Teaching Process}},
  booktitle =	{First International Computer Programming Education Conference (ICPEC 2020)},
  pages =	{4:1--4:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-153-5},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{81},
  editor =	{Queir\'{o}s, Ricardo and Portela, Filipe and Pinto, M\'{a}rio 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.ICPEC.2020.4},
  URN =		{urn:nbn:de:0030-drops-122913},
  doi =		{10.4230/OASIcs.ICPEC.2020.4},
  annote =	{Keywords: Teaching programming, APROG, Moodle, VPL, Mooshak, Automatic assessment}
}
Document
DOI: 10.4230/DagSemProc.06291.7
Approaches to Compute Workflow Complexity

Authors: Jorge Cardoso

Published in: Dagstuhl Seminar Proceedings, Volume 6291, The Role of Business Processes in Service Oriented Architectures (2006)

Abstract
During the last 20 years, complexity has been an interesting topic that has been investigated in many fields of science, such as biology, neurology, software engineering, chemistry, psychology, and economy. A survey of the various approaches to understand complexity has lead sometimes to a measurable quantity with a rigorous but narrow definition and other times as merely an ad hoc label. In this paper we investigate the complexity concept to avoid a vague use of the term `complexity' in workflow designs. We present several complexity metrics that have been used for a number of years in adjacent fields of science and explain how they can be adapted and use to evaluate the complexity of workflows.
Cite as

Jorge Cardoso. Approaches to Compute Workflow Complexity. In The Role of Business Processes in Service Oriented Architectures. Dagstuhl Seminar Proceedings, Volume 6291, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{cardoso:DagSemProc.06291.7,
  author =	{Cardoso, Jorge},
  title =	{{Approaches to Compute Workflow Complexity}},
  booktitle =	{The Role of Business Processes in Service Oriented Architectures},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6291},
  editor =	{Frank Leymann and Wolfgang Reisig and Satish R. Thatte and Wil van der Aalst},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.06291.7},
  URN =		{urn:nbn:de:0030-drops-8219},
  doi =		{10.4230/DagSemProc.06291.7},
  annote =	{Keywords: Workflow, Complexity, Business Processes, Reengineering}
}
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