{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T06:44:26Z","timestamp":1783579466392,"version":"3.55.0"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030620769","type":"print"},{"value":"9783030620776","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-62077-6_14","type":"book-chapter","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T11:25:37Z","timestamp":1603884337000},"page":"189-202","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":87,"title":["Gender Bias in Neural Natural Language Processing"],"prefix":"10.1007","author":[{"given":"Kaiji","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piotr","family":"Mardziel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangjing","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Preetam","family":"Amancharla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anupam","family":"Datta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,10,28]]},"reference":[{"key":"14_CR1","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)"},{"key":"14_CR2","unstructured":"Bolukbasi, T., Chang, K.W., Zou, J.Y., Saligrama, V., Kalai, A.T.: Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. In: Advances in Neural Information Processing Systems, pp. 4349\u20134357 (2016)"},{"issue":"6334","key":"14_CR3","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1126\/science.aal4230","volume":"356","author":"A Caliskan","year":"2017","unstructured":"Caliskan, A., Bryson, J.J., Narayanan, A.: Semantics derived automatically from language corpora contain human-like biases. Science 356(6334), 183\u2013186 (2017)","journal-title":"Science"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Clark, K., Manning, C.D.: Deep reinforcement learning for mention-ranking coreference models. arXiv preprint arXiv:1609.08667 (2016)","DOI":"10.18653\/v1\/D16-1245"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Clark, K., Manning, C.D.: Improving coreference resolution by learning entity-level distributed representations. arXiv preprint arXiv:1606.01323 (2016)","DOI":"10.18653\/v1\/P16-1061"},{"key":"14_CR6","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"14_CR7","unstructured":"Font, J.E., Costa-Jussa, M.R.: Equalizing gender biases in neural machine translation with word embeddings techniques. arXiv preprint arXiv:1901.03116 (2019)"},{"key":"14_CR8","unstructured":"Graves, A.: Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850 (2013)"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Graves, A., Mohamed, A.R., Hinton, G.: Speech recognition with deep recurrent neural networks. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6645\u20136649. IEEE (2013)","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"14_CR10","unstructured":"Johnson, M., et al.: Google\u2019s multilingual neural machine translation system: enabling zero-shot translation. TACL 5, 339\u2013351 (2017). https:\/\/transacl.org\/ojs\/index.php\/tacl\/article\/view\/1081"},{"key":"14_CR11","unstructured":"Jozefowicz, R., Vinyals, O., Schuster, M., Shazeer, N., Wu, Y.: Exploring the limits of language modeling. arXiv preprint arXiv:1602.02410 (2016)"},{"key":"14_CR12","unstructured":"Kaushik, D., Hovy, E., Lipton, Z.C.: Learning the difference that makes a difference with counterfactually-augmented data. arXiv preprint arXiv:1909.12434 (2019)"},{"key":"14_CR13","unstructured":"Lapowsky, I.: Google autocomplete still has a hitler problem, February 2018. https:\/\/www.wired.com\/story\/google-autocomplete-vile-suggestions\/"},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Lee, K., He, L., Lewis, M., Zettlemoyer, L.: End-to-end neural coreference resolution. arXiv preprint arXiv:1707.07045 (2017)","DOI":"10.18653\/v1\/D17-1018"},{"key":"14_CR15","unstructured":"Lu, K., Mardziel, P., Wu, F., Amancharla, P., Datta, A.: Gender bias in neural natural language processing. arXiv preprint arXiv:1807.11714 (2018)"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Manzini, T., Lim, Y.C., Tsvetkov, Y., Black, A.W.: Black is to criminal as caucasian is to police: detecting and removing multiclass bias in word embeddings. arXiv preprint arXiv:1904.04047 (2019)","DOI":"10.18653\/v1\/N19-1062"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"May, C., Wang, A., Bordia, S., Bowman, S.R., Rudinger, R.: On measuring social biases in sentence encoders. arXiv preprint arXiv:1903.10561 (2019)","DOI":"10.18653\/v1\/N19-1063"},{"key":"14_CR18","unstructured":"Merity, S., Xiong, C., Bradbury, J., Socher, R.: Pointer sentinel mixture models. arXiv preprint arXiv:1609.07843 (2016)"},{"key":"14_CR19","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"14_CR20","unstructured":"Pradhan, S., Moschitti, A., Xue, N., Uryupina, O., Zhang, Y.: CoNLL-2012 shared task: modeling multilingual unrestricted coreference in ontonotes. In: Joint Conference on EMNLP and CoNLL-Shared Task, pp. 1\u201340. Association for Computational Linguistics (2012)"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"Rudinger, R., Naradowsky, J., Leonard, B., Van Durme, B.: Gender bias in coreference resolution. arXiv preprint arXiv:1804.09301 (2018)","DOI":"10.18653\/v1\/N18-2002"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Sundermeyer, M., Schl\u00fcter, R., Ney, H.: LSTM neural networks for language modeling. In: Thirteenth Annual Conference of the International Speech Communication Association (2012)","DOI":"10.21437\/Interspeech.2012-65"},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"Tatman, R.: Gender and dialect bias in YouTube\u2019s automatic captions. In: Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, pp. 53\u201359 (2017)","DOI":"10.18653\/v1\/W17-1606"},{"key":"14_CR24","doi-asserted-by":"crossref","unstructured":"Vanmassenhove, E., Hardmeier, C., Way, A.: Getting gender right in neural machine translation. arXiv preprint arXiv:1909.05088 (2019)","DOI":"10.18653\/v1\/D18-1334"},{"key":"14_CR25","unstructured":"Zaremba, W., Sutskever, I., Vinyals, O.: Recurrent neural network regularization. arXiv preprint arXiv:1409.2329 (2014)"},{"key":"14_CR26","doi-asserted-by":"crossref","unstructured":"Zhao, J., Wang, T., Yatskar, M., Cotterell, R., Ordonez, V., Chang, K.W.: Gender bias in contextualized word embeddings. arXiv preprint arXiv:1904.03310 (2019)","DOI":"10.18653\/v1\/N19-1064"},{"key":"14_CR27","doi-asserted-by":"crossref","unstructured":"Zhao, J., Wang, T., Yatskar, M., Ordonez, V., Chang, K.W.: Gender bias in coreference resolution: evaluation and debiasing methods. arXiv preprint arXiv:1804.06876 (2018)","DOI":"10.18653\/v1\/N18-2003"},{"issue":"6","key":"14_CR28","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1016\/j.jbi.2011.08.006","volume":"44","author":"J Zheng","year":"2011","unstructured":"Zheng, J., Chapman, W.W., Crowley, R.S., Savova, G.K.: Coreference resolution: a review of general methodologies and applications in the clinical domain. J. Biomed. Inform. 44(6), 1113\u20131122 (2011)","journal-title":"J. Biomed. Inform."},{"key":"14_CR29","doi-asserted-by":"crossref","unstructured":"Zmigrod, R., Mielke, S.J., Wallach, H., Cotterell, R.: Counterfactual data augmentation for mitigating gender stereotypes in languages with rich morphology. arXiv preprint arXiv:1906.04571 (2019)","DOI":"10.18653\/v1\/P19-1161"}],"container-title":["Lecture Notes in Computer Science","Logic, Language, and Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62077-6_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T04:14:04Z","timestamp":1669349644000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-62077-6_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030620769","9783030620776"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62077-6_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}