Author:
Hiai Satoshi,Shimada Kazutaka
Publisher
Springer International Publishing
Reference12 articles.
1. Ghosh, A., Li, G., Veale, T., Rosso, P., Shutova, E., Barnden, J., Reyes, A.: Semeval-2015 task 11: sentiment analysis of figurative language in twitter. In: Proceedings 9th International Workshop on Semantic Evaluation (SemEval2015), Co-located with NAACL, pp. 470–478 (2015)
2. Reyes, A., Rosso, P., Veale, T.: A multidimensional approach for detecting irony in twitter. Lang. Resour. Eval. 47(1), 239–268 (2013)
3. Joshi, A., Sharma, V., Bhattacharyya, P.: Harnessing context incongruity for sarcasm detection. In: Proceedings of ACL-IJCNLP, pp. 757–762 (2015)
4. Karoui, J., Farah, B., Moriceau, V., Aussenac-Gilles, N., Hadrich-Belguith, L.: Towards a contextual pragmatic model to detect irony in tweets. In: Proceedings of ACL-IJCNLP, pp. 644–650 (2015)
5. Riloff, E., Qadir, A., Surve, P., Silva, L.D., Gilbert, N., Huang, R.: Sarcasm as contrast between a positive sentiment and negative situation. In: Proceedings of EMNLP 2013, pp. 704–714 (2013)
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