{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,5]],"date-time":"2025-06-05T01:17:05Z","timestamp":1749086225200,"version":"3.41.0"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319417530"},{"type":"electronic","value":"9783319417547"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-41754-7_33","type":"book-chapter","created":{"date-parts":[[2016,6,16]],"date-time":"2016-06-16T12:53:48Z","timestamp":1466081628000},"page":"343-349","source":"Crossref","is-referenced-by-count":12,"title":["Are Deep Learning Approaches Suitable for Natural Language Processing?"],"prefix":"10.1007","author":[{"given":"S.","family":"Alshahrani","sequence":"first","affiliation":[]},{"given":"E.","family":"Kapetanios","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,6,17]]},"reference":[{"key":"33_CR1","unstructured":"Ba, L., Caurana, R.: Do Deep Nets Really Need to be Deep\u202f? 521(7553) 1\u20136 (2013). arXiv preprint arXiv:1312.6184"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Dong, L., Wei, F., Tan, C., Tang, D., Zhou, M., Xu, K.: Adaptive recursive neural network for target-dependent Twitter sentiment classification. In: ACL-2014, pp. 49\u201354 (2014)","DOI":"10.3115\/v1\/P14-2009"},{"key":"33_CR3","unstructured":"Collobert, R., Weston, J.: Fast semantic extraction using a novel neural network architecture. In: Proceedings of the 45th Annual Meeting of the ACL, pp. 560\u2013567 (2007)"},{"key":"33_CR4","first-page":"2493","volume":"12","author":"R Collobert","year":"2011","unstructured":"Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuglu, K., Kuksa, P.: Natural language processing (almost) from scratch. J. Mach. Learn. Res. 12, 2493\u20132537 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"33_CR5","unstructured":"Gao, H., Mao, J., Zhou, J., Huang, Z., Wang, L., Xu, W.: Are you talking to a machine? Dataset and methods for multilingual image question answering. In: Arxiv, pp. 1\u201310 (2015)"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Goller, C., Kuchler, A.: Learning task-dependent distributed representations by backpropagation through structure. In: Proceedings of the ICNN 1996, pp. 347\u2013352. IEEE (1996)","DOI":"10.1109\/ICNN.1996.548916"},{"issue":"11","key":"33_CR7","doi-asserted-by":"crossref","first-page":"e0140866","DOI":"10.1371\/journal.pone.0140866","volume":"10","author":"B Golosio","year":"2015","unstructured":"Golosio, B., Cangelosi, A., Gamotina, O., Masala, G.L.: A cognitive neural architecture able to learn and communicate through natural language. PLoS ONE 10(11), e0140866 (2015)","journal-title":"PLoS ONE"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Irsoy, O., Cardie, C.: Opinion mining with deep recurrent neural networks. In: EMNLP-2014, pp. 720\u2013728 (2014)","DOI":"10.3115\/v1\/D14-1080"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Jean, S., Cho, K., Memisevic, R., Bengio, Y.: On using very large target vocabulary for neural machine translation. In: Proceedings of the ACL-IJCNLP (2015)","DOI":"10.3115\/v1\/P15-1001"},{"issue":"2","key":"33_CR10","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1207\/s15516709cog1402_1","volume":"14","author":"JL Elman","year":"1990","unstructured":"Elman, J.L.: Finding structure in time. Cogn. Sci. 14(2), 179\u2013211 (1990)","journal-title":"Cogn. Sci."},{"key":"33_CR11","unstructured":"Johnson, R., Zhang, T.: Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding, pp. 1\u201312 (2015)"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional neural network for modelling sentences. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, 22\u201327 June 2014, Baltimore, MD, USA, vol. 1, pp. 655\u2013665 (2014). Long Papers","DOI":"10.3115\/v1\/P14-1062"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Hermann, K.M., Blunsom, P.: Multilingual models for compositional distributional semantics. In Proceedings of ACL (2014)","DOI":"10.3115\/v1\/P14-1006"},{"key":"33_CR14","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 (EMNLP 2014), pp. 1746\u20131751 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Iyyer, M., Boyd-Graber, J., Claudino, L., Socher, R., Daum\u00e9 III, H.: A neural network for factoid question answering over paragraphs. In: EMNLP (2014)","DOI":"10.3115\/v1\/D14-1070"},{"key":"33_CR16","doi-asserted-by":"crossref","unstructured":"Malinowski, M., Rohrbach, M., Fritz, M.: Ask your neurons: a neural-based approach to answering questions about images. In: IEEE International Conference on Computer Vision, pp. 1\u20139 (2015)","DOI":"10.1109\/ICCV.2015.9"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: GloVe: global vectors for word representation. In: EMNLP (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"33_CR18","unstructured":"dos Santos, C.N., Gatti, M.: Deep convolutional neural networks for sentiment analysis of short texts. In: COLING-2014, pp. 69\u201378 (2014)"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"dos Santos, C.N., Guimar\u00e3es, V.: Boosting named entity recognition with neural character embeddings. In: ACL 2014, pp. 25\u201333 (2015)","DOI":"10.18653\/v1\/W15-3904"},{"key":"33_CR20","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2015)","journal-title":"Neural Netw."},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Shang, L., Lu, Z., Li, H.: Neural responding machine for short-text conversation. In: ACL-2015, pp. 1577\u20131586 (2015)","DOI":"10.3115\/v1\/P15-1152"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Shen, Y., He, X., Gao, J., Deng, L., Mesnil, G.: A latent semantic model with convolutional-pooling structure for information retrieval. In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM 2014, pp. 101\u2013110 (2014)","DOI":"10.1145\/2661829.2661935"},{"key":"33_CR23","unstructured":"Sun, Y., Lin, L., Tang, D., Yang, N., Ji, Z., Wang, X.: Modelling mention, context and entity with neural networks for entity disambiguation. In: IJCAI, pp. 1333\u20131339 (2015)"},{"key":"33_CR24","unstructured":"Mikolov, T., Corrado, G., Chen, K., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of the International Conference on Learning Representations (ICLR 2013) (2013)"},{"key":"33_CR25","doi-asserted-by":"crossref","unstructured":"Wang, P., Xu, J., Xu, B., Liu, C., Zhang, H., Wang, F., Hao, H.: Semantic clustering and convolutional neural network for short text categorization. In: Proceedings of the ACL 2015, pp. 352\u2013357 (2015)","DOI":"10.3115\/v1\/P15-2058"},{"key":"33_CR26","doi-asserted-by":"crossref","unstructured":"Weston, J., America, N.E.C.L., Way, I.: A unified architecture for natural language processing: deep neural networks with multitask learning. In: ICML 2008, pp. 160\u2013167 (2008)","DOI":"10.1145\/1390156.1390177"},{"key":"33_CR27","unstructured":"LeCun, Y., Bengio, Y.: Convolutional networks for images, speech, and time-series. pp. 255\u2013258. MIT Press (1995)"},{"key":"33_CR28","unstructured":"Yu, L., Hermann, K.M., Blunsom, P., Pulman, S.: Deep learning for answer sentence selection. In: NIPS Deep Learning Workshop, 9 p. (2014)"},{"key":"33_CR29","unstructured":"Zhang, X., LeCun, Y.: Text Understanding from Scratch (2015)"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Information Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-41754-7_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T21:57:06Z","timestamp":1748987826000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-41754-7_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319417530","9783319417547"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-41754-7_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}