{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:17:34Z","timestamp":1743005854973,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319730127"},{"type":"electronic","value":"9783319730134"}],"license":[{"start":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T00:00:00Z","timestamp":1513814400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-73013-4_8","type":"book-chapter","created":{"date-parts":[[2017,12,20]],"date-time":"2017-12-20T19:19:27Z","timestamp":1513797567000},"page":"82-93","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Domain Adaptation for Resume Classification Using Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Luiza","family":"Sayfullina","sequence":"first","affiliation":[]},{"given":"Eric","family":"Malmi","sequence":"additional","affiliation":[]},{"given":"Yiping","family":"Liao","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Jung","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,12,21]]},"reference":[{"key":"8_CR1","unstructured":"Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M.: Domain-adversarial neural networks. arXiv preprint arXiv:1412.4446 (2014)"},{"issue":"29","key":"8_CR2","doi-asserted-by":"publisher","first-page":"5127","DOI":"10.5897\/IJPS12.482","volume":"7","author":"ST Al-Otaibi","year":"2012","unstructured":"Al-Otaibi, S.T., Ykhlef, M.: A survey of job recommender systems. Int. J. Phys. Sci. 7(29), 5127\u20135142 (2012)","journal-title":"Int. J. Phys. Sci."},{"issue":"1","key":"8_CR3","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s10994-009-5152-4","volume":"79","author":"S Ben-David","year":"2010","unstructured":"Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F., Vaughan, J.W.: A theory of learning from different domains. Mach. Learn. 79(1), 151\u2013175 (2010)","journal-title":"Mach. Learn."},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Ben-David, S., Blitzer, J., Crammer, K., Pereira, F., et al.: Analysis of representations for domain adaptation. In: Advances in Neural Information Processing Systems, vol. 19, p. 137 (2007)","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"8_CR5","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1613\/jair.1872","volume":"26","author":"H Daume III","year":"2006","unstructured":"Daume III, H., Marcu, D.: Domain adaptation for statistical classifiers. J. Artif. Intell. Res. 26, 101\u2013126 (2006)","journal-title":"J. Artif. Intell. Res."},{"key":"8_CR6","unstructured":"Ganin, Y., Lempitsky, V.: Unsupervised domain adaptation by backpropagation, pp. 1180\u20131189 (2015)"},{"issue":"59","key":"8_CR7","first-page":"1","volume":"17","author":"Y Ganin","year":"2016","unstructured":"Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V.: Domain-adversarial training of neural networks. J. Mach. Learn. Res. 17(59), 1\u201335 (2016)","journal-title":"J. Mach. Learn. Res."},{"key":"8_CR8","unstructured":"Glorot, X., Bordes, A., Bengio, Y.: Domain adaptation for large-scale sentiment classification: a deep learning approach. In: International Conference on Machine Learning, pp. 513\u2013520 (2011)"},{"issue":"8","key":"8_CR9","doi-asserted-by":"publisher","first-page":"1960","DOI":"10.4304\/jcp.8.8.1960-1967","volume":"8","author":"W Hong","year":"2013","unstructured":"Hong, W., Zheng, S., Wang, H., Shi, J.: A job recommender system based on user clustering. J. Comput. 8(8), 1960\u20131967 (2013)","journal-title":"J. Comput."},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Joulin, A., Grave, E., Bojanowski, P., Mikolov, T.: Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759 (2016)","DOI":"10.18653\/v1\/E17-2068"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification, pp. 1746\u20131751 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Kim, Y., Jernite, Y., Sontag, D., Rush, A.M.: Character-aware neural language models. In: Thirtieth AAAI Conference on Artificial Intelligence, pp. 2741\u20132749 (2016)","DOI":"10.1609\/aaai.v30i1.10362"},{"key":"8_CR13","unstructured":"Long, M., Cao, Y., Wang, J., Jordan, M.: Learning transferable features with deep adaptation networks. In: International Conference on Machine Learning, pp. 97\u2013105 (2015)"},{"key":"8_CR14","first-page":"2579","volume":"9","author":"LVD Maaten","year":"2008","unstructured":"Maaten, L.V.D., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"8_CR15","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)"},{"key":"8_CR16","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-3-319-24033-6_23","volume-title":"Text, Speech, and Dialogue","author":"E Tutubalina","year":"2015","unstructured":"Tutubalina, E.: Dependency-based problem phrase extraction from user reviews of products. In: Kr\u00e1l, P., Matou\u0161ek, V. (eds.) TSD 2015. LNCS (LNAI), vol. 9302, pp. 199\u2013206. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24033-6_23"},{"key":"8_CR17","unstructured":"Zhang, X., Zhao, J., LeCun, Y.: Character-level convolutional networks for text classification. In: Advances in Neural Information Processing Systems, pp. 649\u2013657 (2015)"}],"container-title":["Lecture Notes in Computer Science","Analysis of Images, Social Networks and Texts"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-73013-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:11:27Z","timestamp":1710324687000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-73013-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,21]]},"ISBN":["9783319730127","9783319730134"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-73013-4_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017,12,21]]},"assertion":[{"value":"21 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Analysis of Images, Social Networks and Texts","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Moscow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aist2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/aistconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}