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.
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
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.
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.
An Evaluation Framework for Plagiarism Detection
Martin Potthast;Benno Stein;Alberto Barrón-Cedeño;Paolo Rosso.
international conference on computational linguistics (2010)
Overview of the 2nd International Competition on Plagiarism Detection
Martin Potthast;Alberto Barrón-Cedeño;Andreas Eiselt;Benno Stein.
cross language evaluation forum (2011)
Cross-language plagiarism detection
Martin Potthast;Alberto Barrón-Cedeño;Benno Stein;Paolo Rosso.
language resources and evaluation (2011)
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)
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)
On Automatic Plagiarism Detection Based on n-Grams Comparison
Alberto Barrón-Cedeño;Paolo Rosso.
european conference on information retrieval (2009)
Plagiarism meets paraphrasing: Insights for the next generation in automatic plagiarism detection
Alberto Barrón-Cedeño;Marta Vila;M. Martí;Paolo Rosso.
Computational Linguistics (2013)
Fine-Grained Analysis of Propaganda in News Article
Giovanni Da San Martino;Seunghak Yu;Alberto Barrón-Cedeño;Rostislav Petrov.
(2019)
Plagiarism Detection across Distant Language Pairs
Alberto Barrón-Cedeño;Paolo Rosso;Eneko Agirre;Gorka Labaka.
international conference on computational linguistics (2010)
On cross-lingual plagiarism analysis using a statistical model
Alberto Barrón-Cedeño;Paolo Rosso;David Pinto;Alfons Juan.
european conference on artificial intelligence (2008)
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