{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T22:23:20Z","timestamp":1771539800192,"version":"3.50.1"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319566078","type":"print"},{"value":"9783319566085","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-56608-5_45","type":"book-chapter","created":{"date-parts":[[2017,4,7]],"date-time":"2017-04-07T06:25:19Z","timestamp":1491546319000},"page":"534-540","source":"Crossref","is-referenced-by-count":14,"title":["Irony Detection with Attentive Recurrent Neural Networks"],"prefix":"10.1007","author":[{"given":"Yu-Hsiang","family":"Huang","sequence":"first","affiliation":[]},{"given":"Hen-Hsen","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Hsin-Hsi","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,4,8]]},"reference":[{"key":"45_CR1","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: Proceedings of International Conference on Learning Representations (2015)"},{"key":"45_CR2","doi-asserted-by":"crossref","unstructured":"Barbieri, F., Saggion, H.: Modelling irony in Twitter. In: Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pp. 56\u201364 (2014)","DOI":"10.3115\/v1\/E14-3007"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Ghosh, D., Guo, W., Muresan, S.: Sarcastic or not: word embeddings to predict the literal or sarcastic meaning of words. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1003\u20131012 (2015)","DOI":"10.18653\/v1\/D15-1116"},{"issue":"8","key":"45_CR4","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"45_CR5","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1746\u20131751 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"issue":"4","key":"45_CR6","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1037\/0096-3445.118.4.374","volume":"118","author":"R Kreuz","year":"1989","unstructured":"Kreuz, R., Glucksberg, S.: How to be sarcastic: the echoic reminder theory of verbal irony. J. Exp. Psychol. Gen. 118(4), 374\u2013386 (1989)","journal-title":"J. Exp. Psychol. Gen."},{"key":"45_CR7","unstructured":"LeCun, Y., Jackel, L., Bottou, L., Brunot, A., Cortes, C., Denker, J., Drucker, H., Guyon, I., Mller, U., Sckinger, E., Simard, P., Vapnik, V.: Comparison of learning algorithms for handwritten digit recognition. In: Proceedings of International Conference on Artificial Neural Networks, pp. 53\u201360 (1995)"},{"key":"45_CR8","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"issue":"1","key":"45_CR9","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s10579-012-9196-x","volume":"47","author":"A Reyes","year":"2013","unstructured":"Reyes, A., Rosso, P., Veale, T.: A multidimensional approach for detecting irony in Twitter. Lang. Resour. Eval. 47(1), 239\u2013268 (2013)","journal-title":"Lang. Resour. Eval."},{"key":"45_CR10","unstructured":"Tang, Y.-j., Chen, H.-H.: Chinese irony corpus construction and ironic structure analysis. In: Proceedings of the 25th International Conference on Computational Linguistics, pp. 1269\u20131278 (2014)"},{"key":"45_CR11","unstructured":"Tieleman, T., Hinton, G.: Lecture 6.5 - rmsprop. COURSERA: Neural Networks for Machine Learning, pp. 26\u201331 (2012)"},{"issue":"1","key":"45_CR12","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-56608-5_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T10:25:17Z","timestamp":1498386317000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-56608-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319566078","9783319566085"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-56608-5_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}