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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 29 1 Dependency Syntax in the Automatic Detection of Irony and Stance ; Sintaxis de dependencias en la detección automática de ironía y posicionamiento Cignarella, Alessandra Teresa. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2022 BASE Show details 2 Enjeux liés à la détection de l’ironie Laperle, Samuel In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 2 : 23e REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL) ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265905 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.55-66 (2021) BASE Show details 3 Dependency Syntax in the Automatic Detection of Irony and Stance Cignarella, Alessandra Teresa. - : Universitat Politècnica de València, 2021 BASE Show details 4 Contributions to the Computational Treatment of Non-literal Language Rohanian, Omid. - : University of Wolverhampton, 2020 BASE Show details 5 Irony Detection in Twitter with Imbalanced Class Distributions Herrera, Francisco; Rosso, Paolo; Hernandez-Farias, Delia Irazu. - : IOS Press, 2020 BASE Show details 6 Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter Hurtado Oliver, Lluis Felip; González-Barba, José Ángel; Pla Santamaría, Ferran. - : Elsevier, 2020 BASE Show details 7 RGCL at IDAT: deep learning models for irony detection in Arabic language Mandhari, Salim; Mohamed, Emad; Saadany, Hadeel... In: 2517 ; 416 ; 425 (2019) BASE Show details 8 Computational models for irony detection in three Spanish variants Frenda S.; Patti V.. - : CEUR-WS, 2019. : country:ESP, 2019. : place:Bilbao, 2019 BASE Show details 9 Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection Di Gangi, M.; Lo Bosco, G.; Pilato, G.. - 2019 BASE Show details 10 IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - : CEUR-WS.org, 2019 BASE Show details 11 WLV at SemEval-2018 task 3: Dissecting tweets in search of irony Rohanian, Omid; Taslimipoor, Shiva; Evans, Richard. - : Association for Computational Linguistics, 2018 BASE Show details 12 A survey on author profiling, deception, and irony detection for the Arabic language Rosso P.; Rangel F.; Hernandez Farias Delia Irazu. - 2018 BASE Show details 13 Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges Basile, Valerio; Novielli, Nicole; Croce, Danilo. - 2018 BASE Show details 14 A Knowledge-Based Weighted KNN for Detecting Irony in Twitter Hernandez-Farias, Delia Irazu; Montes Gomez, Manuel; Escalante, Hugo. - : Springer-Verlag, 2018 BASE Show details 15 A survey on author profiling, deception, and irony detection for the Arabic language Zaghouani, Wajdi; Hernandez-Farias, Delia Irazu; Rosso, Paolo. - : Wiley, 2018 BASE Show details 16 SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media Karoui, Jihen; Benamara, Farah; Moriceau, Veronique In: 3rd International Conference on Arabic Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01686504 ; 3rd International Conference on Arabic Computational Linguistics, Nov 2017, Dubaï, United Arab Emirates. pp.161 - 168, ⟨10.1016/j.procs.2017.10.105⟩ (2017) BASE Show details 17 Ironic gestures and tones in twitter Frenda, Simona. - : CEUR-WS, 2017. : country:DEU, 2017. : place:Aachen, 2017 BASE Show details 18 Irony and Sarcasm Detection in Twitter: The Role of Affective Content Hernández Farias, Delia Irazu. - : Universitat Politècnica de València, 2017 BASE Show details 19 Special Session on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData 2016) Benamara, Farah; Bosco, Cristina; Fersini, Elisabetta. - : HAL CCSD, 2016 In: 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016) ; https://hal.archives-ouvertes.fr/hal-03176429 ; Benamara, Farah; Bosco, Cristina; Fersini, Elisabetta; Patti, Viviana; Viviancos, Emilio. 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016), Oct 2016, Montréal, Canada. 2016 ; https://sites.ualberta.ca/~dsaa16/specialsessions.html (2016) BASE Show details 20 Character and Word Baselines for Irony Detection in Spanish Short Texts ; Sistemas de detección de ironía basados en palabras y caracteres para textos cortos en español Jasso, Gabriela; Meza Ruiz, Iván Vladimir. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2016 Abstract: La ironía verbal es un fenómeno lingüístico en donde el significado expresado es el opuesto al significado literal del mensaje. Es un reto para el Procesamiento de Lenguaje Natural ya que se debe enseñar a un sistema una forma de reconocer y procesar el cambio de polaridad de lo expresado. Aun cuando han habido esfuerzos recientes en la identificación de ironía y sarcasmo, ninguno de estos aborda el problema en español. En este trabajo nos enfocamos en establecer un sistema base de clasificación usando características simples al nivel de palabras y caracteres para entradas en español de la red social Twitter. Presentamos sistemas basados en máquinas de soporte vectorial y selvas aleatorias usando n-gramas, así como un enfoque distribucional (i.e., word2vec). ; Verbal irony is the linguistic phenomenon in which the expressed meaning is the opposite of the literal meaning. Irony is a challenging task for Natural Language Processing, since one must teach a system to identify and process the polarity of the expression. Although there have been recent efforts in irony and sarcasm identification, none of them tackle the issue in Spanish. In this work we focus on producing classification baseline systems using straight-forward word and character features for Spanish posts from the social network Twitter. We present a set of n-gram baselines using support vector machines and random forests classifiers, as well as for a distributional approach (i.e., word2vec). ; Authors thank Red Temática en Tecnologías del Lenguaje CONACyT for the support provided to the first author during part of this research. Keyword: Detección de ironía; Ironía verbal; Irony detection; Lenguajes y Sistemas Informáticos; Short text; Textos cortos; Verbal irony; word2vec URL: http://hdl.handle.net/10045/53560 BASE Hide details Page: 1 2

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