D-Index & Metrics Best Publications
Alberto Barrón-Cedeño

Alberto Barrón-Cedeño

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 4,350 99 World Ranking 8756 National Ranking 249

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Machine learning

His primary areas of investigation include Natural language processing, Artificial intelligence, Plagiarism detection, Information retrieval and Propaganda techniques. His Natural language processing study combines topics from a wide range of disciplines, such as Field, Statistical model, Panorama and Identification. The concepts of his Identification study are interwoven with issues in Software, Baseline, Natural language and Authorship verification.

In general Artificial intelligence, his work in Bilingual dictionary is often linked to Process linking many areas of study. Alberto Barrón-Cedeño has included themes like Computational linguistics, Paraphrase, Ranking and World Wide Web in his Plagiarism detection study. Alberto Barrón-Cedeño interconnects Word and Set in the investigation of issues within Information retrieval.

His most cited work include:

  • Overview of the 2nd International Competition on Plagiarism Detection (295 citations)
  • An Evaluation Framework for Plagiarism Detection (248 citations)
  • Cross-language plagiarism detection (169 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Natural language processing, Information retrieval, Plagiarism detection and Question answering are his primary areas of study. His work carried out in the field of Artificial intelligence brings together such families of science as Arabic and Set. His research integrates issues of Context, Ranking, Identification and Word, SemEval in his study of Natural language processing.

His study in the field of Relevance also crosses realms of Propaganda techniques. His Plagiarism detection research includes themes of Character, Source text and World Wide Web. His research on Question answering also deals with topics like

  • Fact checking that intertwine with fields like Dimension,
  • Data science most often made with reference to Inference.

He most often published in these fields:

  • Artificial intelligence (59.09%)
  • Natural language processing (52.73%)
  • Information retrieval (24.55%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (59.09%)
  • Natural language processing (52.73%)
  • Identification (14.55%)

In recent papers he was focusing on the following fields of study:

Alberto Barrón-Cedeño focuses on Artificial intelligence, Natural language processing, Identification, Clef and Propaganda techniques. His Artificial intelligence research integrates issues from Multi-task learning and Pattern recognition. He conducts interdisciplinary study in the fields of Natural language processing and Test through his research.

His work deals with themes such as Margin, Arabic and Focus, which intersect with Identification. The Clef study combines topics in areas such as Ranking, Rank, Scripting language, Social media and Computational journalism. His Information retrieval research incorporates elements of Affect, Thread, Mindset and Document clustering.

Between 2017 and 2021, his most popular works were:

  • Fine-Grained Analysis of Propaganda in News Article (115 citations)
  • Proppy: Organizing the news based on their propagandistic content (56 citations)
  • Proppy: A System to Unmask Propaganda in Online News (55 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An Evaluation Framework for Plagiarism Detection

Martin Potthast;Benno Stein;Alberto Barrón-Cedeño;Paolo Rosso.
international conference on computational linguistics (2010)

368 Citations

Overview of the 2nd International Competition on Plagiarism Detection

Martin Potthast;Alberto Barrón-Cedeño;Andreas Eiselt;Benno Stein.
cross language evaluation forum (2011)

306 Citations

Cross-language plagiarism detection

Martin Potthast;Alberto Barrón-Cedeño;Benno Stein;Paolo Rosso.
language resources and evaluation (2011)

275 Citations

Overview of the 1st international competition on plagiarism detection

Martin Potthast;Benno Stein;Andreas Eiselt;Alberto Barrón-Cedeno.
SEPLN 2009 - 3rd Workshop on Uncovering Plagiarism, Authorship and Social Software Misuse, PAN 2009 and 1st International Competition on Plagiarism Detection (2009)

272 Citations

Overview of the author identification task at PAN 2014

Efstathios Stamatatos;Walter Daelemans;Ben Verhoeven;Benno Stein.
CLEF 2014 Evaluation Labs and Workshop Working Notes Papers, Sheffield, UK, 2014 (2014)

206 Citations

On Automatic Plagiarism Detection Based on n-Grams Comparison

Alberto Barrón-Cedeño;Paolo Rosso.
european conference on information retrieval (2009)

172 Citations

Plagiarism meets paraphrasing: Insights for the next generation in automatic plagiarism detection

Alberto Barrón-Cedeño;Marta Vila;M. Martí;Paolo Rosso.
Computational Linguistics (2013)

163 Citations

Fine-Grained Analysis of Propaganda in News Article

Giovanni Da San Martino;Seunghak Yu;Alberto Barrón-Cedeño;Rostislav Petrov.
(2019)

156 Citations

Plagiarism Detection across Distant Language Pairs

Alberto Barrón-Cedeño;Paolo Rosso;Eneko Agirre;Gorka Labaka.
international conference on computational linguistics (2010)

107 Citations

On cross-lingual plagiarism analysis using a statistical model

Alberto Barrón-Cedeño;Paolo Rosso;David Pinto;Alfons Juan.
european conference on artificial intelligence (2008)

104 Citations

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