Alberto Barrón-Cedeño
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    • Natural Language Processing
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    • Natural Language Processing 2023
  • Publications
    • Elote, Choclo and Mazorca: on the Varieties of Spanish
    • When Elote, Choclo and Mazorca are not the Same. Isomorphism-Based Perspective to the Spanish Varieties Divergences
    • A Corpus for Sentence-Level Subjectivity Detection on English News Articles
    • PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
    • The Challenges of Creating a Parallel Multilingual Hate Speech Corpus: An Exploration
    • The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness
    • UniBO at CheckThat! 2024: Multi-lingual and Multi-label Persuasion Technique Detection in News with Data Augmentation and Sequence-Token Classifiers
    • Harmful Language Datasets: An Assessment of Robustness
    • UniBoe′s at SemEval-2023 Task 10: Model-Agnostic Strategies for the Improvement of Hate-Tuned and Generative Models in the Classification of Sexist Posts
    • Hate Speech Detection in an Italian Incel Forum Using Bilingual Data for Pre-Training and Fine-Tuning
    • On the Identification and Forecasting of Hate Speech in Inceldom
    • Overview of the CLEF--2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source
    • Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal and Multigenre Content
    • Overview of the CLEF-2023 CheckThat! Lab Task 2 on Subjectivity in News Articles
    • Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction
    • The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
    • The (Undesired) Attenuation of Human Biases by Multilinguality
    • AriEmozione 2.0: Identifying Emotions in Opera Verses and Arias
    • Experimental IR Meets Multilinguality, Multimodality, and Interaction
    • H-Prop and H-Prop-News: Computational Propaganda Datasets in Hindi
    • Online information disorder: fake news, bots and trolls (special issue)
    • The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
    • Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
    • Overview of the CLEF-2021 CheckThat! lab Task 1 on check-worthiness estimation in tweets and political debates
    • The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
    • SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
    • Prta: A System to Support the Analysis of Propaganda Techniques in the News
    • AriEmozione: Identifying Emotions in Opera Verses
    • CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
    • Overview of CheckThat! 2020 Arabic: Automatic identification and verification of claims in social media
    • Overview of CheckThat! 2020 English: Automatic identification and verification of claims in social media
    • Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
    • Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
    • Fine-Grained Analysis of Propaganda in News Articles
    • Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda
    • Tanbih: Get To Know What You Are Reading
    • It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
    • Proppy: A System to Unmask Propaganda in Online News
    • Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News
    • Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection
    • Automatic Fact-Checking Using Context and Discourse Information
    • An example preprint / working paper
    • CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims
    • Dense vs. Sparse Representations for News Stream Clustering
    • Overview of the CLEF-2019 CheckThat! Lab on Automatic Identification and Verification of Claims. Task 2: Evidence and Factuality
    • Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims
    • Proppy: Organizing the news based on their propagandistic content
    • Studying the history of the Arabic language: language technology and a large-scale historical corpus
    • Third International Workshop on Recent Trends in News Information Retrieval (NewsIR'19)
    • A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines
    • ClaimRank: Detecting Check-Worthy Claims in Arabic and English
    • Fact Checking in Community Forums
    • Fact checking in community forums
    • Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims
    • Overview of the CLEF-2018 CheckThat! Lab on automatic identification and verification of political claims. Task 1: Check-worthiness
    • Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality.
    • Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage.
    • Towards OpenDomain CrossLanguage Question Answering
    • A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates
    • Fully Automated Fact Checking Using External Sources
    • Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity
    • A Multiple-Instance Learning Approach to Sentence Selection for Question Ranking
    • An empirical analysis of NMT-derived interlingual embeddings and their use in parallel sentence identification
    • Cross-Language Question Re-Ranking
    • Language processing and learning models for community question answering in Arabic
    • On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments
    • On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments
    • An Interactive System for Exploring Community Question Answering Forums
    • Neural Attention for Learning to Rank Questions in Community Question Answering
    • Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking
    • ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora
    • Learning to Re-Rank Questions in Community Question Answering Using Advanced Features
    • An example journal article
    • Global Thread-level Inference for Comment Classification in Community Question Answering
    • A Factory of Comparable Corpora from Wikipedia
    • Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach
    • Thread-Level Information for Comment Classification in Community Question Answering
    • QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
    • Cross-Language Source Code Re-Use Detection Using Latent Semantic Analysis.
    • Leveraging online user feedback to improve statistical machine translation
    • Uncovering source code reuse in large-scale academic environments
    • IPA and STOUT: Leveraging Linguistic and Source-based Features for Machine Translation Evaluation
    • A Comparison of Approaches for Measuring Cross-Lingual Similarity of Wikipedia Articles
    • Cross-language source code re-use detection
    • Overview of the author identification task at PAN 2014
    • Plagiarism Meets Paraphrasing: Insights for the Next Generation in Automatic Plagiarism Detection
    • The TALP-UPC Approach to System Selection: Asiya Features and Pairwise Classification Using Random Forests
    • The TALP-UPC Phrase-Based Translation Systems for WMT13: System Combination with Morphology Generation, Domain Adaptation and Corpus Filtering
    • An example conference paper
    • UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?
    • Identifying Useful Human Correction Feedback from an On-Line Machine Translation Service
    • Methods for cross-language plagiarism detection
    • On the mono-and cross-language detection of text re-use and plagiarism
    • PAN@FIRE: Overview of the Cross-Language !ndian Text Re-Use Detection Competition
    • DeSoCoRe: Detecting Source Code Re-Use across Programming Languages
    • Cross-Language High Similarity Search Using a Conceptual Thesaurus
    • Fourth International Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse
    • Cross-language plagiarism detection
    • Detección de reuso de código fuente entre lenguajes de programación con base en la frecuencia de términos
    • Extracción de corpus paralelos de la Wikipedia basada en la obtención de alineamientos bilingües a nivel de frase
    • Overview of the 3rd international competition on plagiarism detection
    • Towards the Detection of Cross-Language Source Code Reuse
    • An Evaluation Framework for Plagiarism Detection
    • Plagiarism Detection across Distant Language Pairs
    • Corpus and Evaluation Measures for Automatic Plagiarism Detection
    • English-Spanish Large Statistical Dictionary of Inflectional Forms
    • Detección automática de plagio: de la copia exacta a la paráfrasis
    • On the mono- and cross-language detection of text reuse and plagiarism
    • Towards the 2nd international competition on plagiarism detection and beyond
    • Word Length n-Grams for Text Re-use Detection
    • A statistical approach to crosslingual natural language tasks
    • An Improved Automatic Term Recognition Method for Spanish
    • Monolingual text similarity measures: A comparison of models over wikipedia articles revisions
    • On Automatic Plagiarism Detection Based on n-Grams Comparison
    • On the relevance of search space reduction in automatic plagiarism detection
    • Reducing the Plagiarism Detection Search Space on the Basis of the Kullback-Leibler Distance
    • Sobre la importancia de la reducción del espacio de búsqueda en la detección automática de plagio
    • Can TF-IDF and Fuzzy Logic Improve Onomasiological Inference Ranking? Or Keywords Frequency is Good Enough?
    • On Cross-lingual Plagiarism Analysis using a Statistical Model
    • Towards the exploitation of statistical language models for plagiarism detection with reference
    • C-value aplicado a la extracción de términos multipalabra en documentos técnicos y científicos en español
    • Corpus de contextos definitorios: Una herramienta para la lexicografía y la terminología
    • Towards the building of a corpus of definitional contexts
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On the relevance of search space reduction in automatic plagiarism detection

Jan 1, 2009·
Alberto Barrón-Cedeño
,
Paolo Rosso
· 0 min read
Cite
Type
Journal article
Publication
Procesamiento del lenguaje natural
Last updated on Jan 1, 2009
← On Automatic Plagiarism Detection Based on n-Grams Comparison Jan 1, 2009
Reducing the Plagiarism Detection Search Space on the Basis of the Kullback-Leibler Distance Jan 1, 2009 →

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