3 Search Results for "Rodrigues, Rui"

Document
DOI: 10.4230/OASIcs.SLATE.2021.15
NetLangEd, A Web Editor to Support Online Comment Annotation

Authors: Rui Rodrigues, Cristiana Araújo, and Pedro Rangel Henriques

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

Abstract
This paper focuses on the scientific areas of Digital Humanities, Social Networks and Inappropriate Social Discourse. The main objective of this research project is the development of an editor that allows researchers in the human and social sciences or psychologists to add their reflections or ideas out coming from reading and analyzing posts and comments of an online corpus . In the present context, the editor is being integrated with the analysis tools available in the NetLang platform. NetLangEd, in addition to allowing the three basic operations of adding, editing and removing annotations, will also offer mechanisms to manage, organize, view and locate annotations, all of which will be performed in an easy, fast and user-friendly way.
Cite as

Rui Rodrigues, Cristiana Araújo, and Pedro Rangel Henriques. NetLangEd, A Web Editor to Support Online Comment Annotation. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 15:1-15:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

Copy BibTex To Clipboard

@InProceedings{rodrigues_et_al:OASIcs.SLATE.2021.15,
  author =	{Rodrigues, Rui and Ara\'{u}jo, Cristiana and Henriques, Pedro Rangel},
  title =	{{NetLangEd, A Web Editor to Support Online Comment Annotation}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{15:1--15:16},
  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.2021.15},
  URN =		{urn:nbn:de:0030-drops-144325},
  doi =		{10.4230/OASIcs.SLATE.2021.15},
  annote =	{Keywords: Online Annotation tool, Document Markup System, Text Editor, Discourse Analysis}
}
Document
DOI: 10.4230/OASIcs.SLATE.2019.22
Hunting Ancestors: A Unified Approach for Discovering Genealogical Information

Authors: José João Almeida and Rui Castro Mendes

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

Abstract
This paper presents an unified approach for discovering genealogical information. It presents a frameworks for storing information concerning ancestors, locations, dates and documents. It also intends to provide a framework that is able to perform inference concerning dates by using constraints and for handling relations, locations and sources. The DSL presented also aims to help users store information from heterogeneous sources along with the evidence contained therein.
Cite as

José João Almeida and Rui Castro Mendes. Hunting Ancestors: A Unified Approach for Discovering Genealogical Information. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 22:1-22:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

Copy BibTex To Clipboard

@InProceedings{almeida_et_al:OASIcs.SLATE.2019.22,
  author =	{Almeida, Jos\'{e} Jo\~{a}o and Mendes, Rui Castro},
  title =	{{Hunting Ancestors: A Unified Approach for Discovering Genealogical Information}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{22:1--22:6},
  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.2019.22},
  URN =		{urn:nbn:de:0030-drops-108890},
  doi =		{10.4230/OASIcs.SLATE.2019.22},
  annote =	{Keywords: Genealogy, Domain Specific Language, Temporal Constraints}
}
Document
DOI: 10.4230/OASIcs.SLATE.2018.12
ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese

Authors: Ana Alves, Hugo Gonçalo Oliveira, Ricardo Rodrigues, and Rui Encarnação

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

Abstract
Semantic Textual Similarity (STS) aims at computing the proximity of meaning transmitted by two sentences. In 2016, the ASSIN shared task targeted STS in Portuguese and released training and test collections. This paper describes the development of ASAPP, a system that participated in ASSIN, but has been improved since then, and now achieves the best results in this task. ASAPP learns a STS function from a broad range of lexical, syntactic, semantic and distributional features. This paper describes the features used in the current version of ASAPP, and how they are exploited in a regression algorithm to achieve the best published results for ASSIN to date, in both European and Brazilian Portuguese.
Cite as

Ana Alves, Hugo Gonçalo Oliveira, Ricardo Rodrigues, and Rui Encarnação. ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese. In 7th Symposium on Languages, Applications and Technologies (SLATE 2018). Open Access Series in Informatics (OASIcs), Volume 62, pp. 12:1-12:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@InProceedings{alves_et_al:OASIcs.SLATE.2018.12,
  author =	{Alves, Ana and Gon\c{c}alo Oliveira, Hugo and Rodrigues, Ricardo and Encarna\c{c}\~{a}o, Rui},
  title =	{{ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese}},
  booktitle =	{7th Symposium on Languages, Applications and Technologies (SLATE 2018)},
  pages =	{12:1--12:17},
  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.2018.12},
  URN =		{urn:nbn:de:0030-drops-92709},
  doi =		{10.4230/OASIcs.SLATE.2018.12},
  annote =	{Keywords: natural language processing, semantic textual similarity, semantic relations, word embeddings, character n-grams, supervised machine learning}
}
  • Refine by Author
  • 1 Almeida, José João
  • 1 Alves, Ana
  • 1 Araújo, Cristiana
  • 1 Encarnação, Rui
  • 1 Gonçalo Oliveira, Hugo
  • Show More...

  • Refine by Classification
  • 1 Computing methodologies → Natural language processing
  • 1 Human-centered computing → Interactive systems and tools
  • 1 Software and its engineering → Application specific development environments
  • 1 Software and its engineering → Domain specific languages
  • 1 Software and its engineering → Scripting languages
  • Show More...

  • Refine by Keyword
  • 1 Discourse Analysis
  • 1 Document Markup System
  • 1 Domain Specific Language
  • 1 Genealogy
  • 1 Online Annotation tool
  • Show More...

  • Refine by Type
  • 3 document

  • Refine by Publication Year
  • 1 2018
  • 1 2019
  • 1 2021

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact