| References: [1] Ghanem, B., Karoui, J., Benamara, F., Moriceau, V., Rosso, P. (2019). Idat@re2019: Overview of the track on irony detection in arabic tweets. In: Mehta P., Rosso P., Majumder P., Mitra M. (Eds.) Working Notes of the Forum for Information Retrieval Evaluation (FIRE 2019). CEUR Workshop Proceedings. In: CEUR-WS.org, Kolkata, India, December 12-15 (2019).
[2] Ghosh, A., Veale, T. (2018). Ironymagnet at semeval-2018 task 3: A siamese network for irony detection in social media. In: Proceedings of The 12th International Work-shop on Semantic Evaluation. p. 570-575.
[3] Hern–andez-Far–as, I., Bened–, J. M., Rosso, P. (2015). Applying basic features from sen- timent analysis for automatic irony detection. In: Iberian Conference on Pattern Recognition and Image Analysis. p. 337-344. Springer.
[4] Jia, X., Deng, Z., Min, F., Liu, D. (2019). Three-way decisions based feature fusion for chinese irony detection. International Journal of Approximate Reasoning.
[5] Karoui, J., Farah, B., Moriceau, V., Patti, V., Bosco, C., Aussenac-Gilles, N. (2017). Exploring the impact of pragmatic phenomena on irony detection in tweets: A multilingual corpus study. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: 1, p. 262-272.
[6] Karoui, J., Zitoune, F. B., Moriceau, V. (2017). Soukhria: Towards an irony detection system for arabic in social media. Procedia Computer Science 117, 161-168.
[7] Levy, O., Goldberg, Y. (2014). Dependency-based word embeddings. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2, p. 302-308.
[8] Mikolov, T., Chen, K., Corrado, G., Dean, J. (2013). Ecient estimation of word repre- sentations in vector space. arXiv preprint arXiv:1301.3781.
[9] Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., Dean, J. (2013). Distributed representations of words and phrases and their compositionality. In: Advances in neural information processing systems. p. 3111-3119.
[10] Pennington, J., Socher, R., Manning, C. (2014). Glove: Global vectors for word representation. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP). p. 1532-1543.
[11] Rosso, P., Rangel, F., Far–as, I. H., Cagnina, L., Zaghouani, W., Char, A. (2018). A survey on author proling, deception, and irony detection for the arabic language. Language and Linguistics Compass 12 (4) e12275.
[12] Sigar, A. H., Taha, Z. S. (2012). A contrastive study of ironic expressions in english and arabic. College of Basic Education Researches Journal 12 (2) 795-815. |
