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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
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2
Enjeux liés à la détection de l’ironie
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)
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3
Dependency Syntax in the Automatic Detection of Irony and Stance
Cignarella, Alessandra Teresa. - : Universitat Politècnica de València, 2021
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4
Contributions to the Computational Treatment of Non-literal Language
Rohanian, Omid. - : University of Wolverhampton, 2020
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5
Irony Detection in Twitter with Imbalanced Class Distributions
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6
Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter
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7
RGCL at IDAT: deep learning models for irony detection in Arabic language
In: 2517 ; 416 ; 425 (2019)
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8
Computational models for irony detection in three Spanish variants
Frenda S.; Patti V.. - : CEUR-WS, 2019. : country:ESP, 2019. : place:Bilbao, 2019
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9
Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection
Abstract: Irony and sarcasm are two complex linguistic phenomena that are widely used in everyday language and especially over the social media, but they represent two serious issues for automated text understanding. Many labeled corpora have been extracted from several sources to accomplish this task, and it seems that sarcasm is conveyed in different ways for different domains. Nonetheless, very little work has been done for comparing different methods among the available corpora. Furthermore, usually, each author collects and uses their own datasets to evaluate his own method. In this paper, we show that sarcasm detection can be tackled by applying classical machine-learning algorithms to input texts sub-symbolically represented in a Latent Semantic space. The main consequence is that our studies establish both reference datasets and baselines for the sarcasm detection problem that could serve the scientific community to test newly proposed methods
Keyword: irony detection; machine learning; natural language processing; sarcasm detection; semantic spaces; Settore INF/01 - Informatica
URL: http://hdl.handle.net/10447/349361
https://doi.org/10.1017/S1351324919000019
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10
IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets
Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - : CEUR-WS.org, 2019
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11
WLV at SemEval-2018 task 3: Dissecting tweets in search of irony
Rohanian, Omid; Taslimipoor, Shiva; Evans, Richard. - : Association for Computational Linguistics, 2018
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12
A survey on author profiling, deception, and irony detection for the Arabic language
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13
Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges
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14
A Knowledge-Based Weighted KNN for Detecting Irony in Twitter
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15
A survey on author profiling, deception, and irony detection for the Arabic language
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16
SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media
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)
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17
Ironic gestures and tones in twitter
Frenda, Simona. - : CEUR-WS, 2017. : country:DEU, 2017. : place:Aachen, 2017
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18
Irony and Sarcasm Detection in Twitter: The Role of Affective Content
Hernández Farias, Delia Irazu. - : Universitat Politècnica de València, 2017
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19
Special Session on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData 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)
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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
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