{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:26:38Z","timestamp":1775579198023,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319995007","type":"print"},{"value":"9783319995014","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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\/978-3-319-99501-4_36","type":"book-chapter","created":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T13:02:06Z","timestamp":1534165326000},"page":"401-410","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["A Sequence to Sequence Learning for Chinese Grammatical Error Correction"],"prefix":"10.1007","author":[{"given":"Hongkai","family":"Ren","sequence":"first","affiliation":[]},{"given":"Liner","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Endong","family":"Xun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,14]]},"reference":[{"key":"36_CR1","doi-asserted-by":"crossref","unstructured":"Chollampatt, S., Ng, H.T.: Connecting the dots: towards human-level grammatical error correction. In: BEA@EMNLP (2017)","DOI":"10.18653\/v1\/W17-5037"},{"key":"36_CR2","doi-asserted-by":"crossref","unstructured":"Chollampatt, S., Ng, H.T.: A multilayer convolutional encoder-decoder neural network for grammatical error correction. CoRR abs\/1801.08831 (2018)","DOI":"10.1609\/aaai.v32i1.12069"},{"key":"36_CR3","unstructured":"Chorowski, J., Bahdanau, D., Cho, K., Bengio, Y.: End-to-end continuous speech recognition using attention-based recurrent NN: first results. CoRR abs\/1412.1602 (2014)"},{"key":"36_CR4","unstructured":"Dahlmeier, D., Ng, H.T.: Better evaluation for grammatical error correction. In: NAACL (2012)"},{"key":"36_CR5","unstructured":"Dauphin, Y., Fan, A., Auli, M., Grangier, D.: Language modeling with gated convolutional networks. In: ICML (2017)"},{"key":"36_CR6","unstructured":"Gehring, J., Auli, M., Grangier, D., Yarats, D., Dauphin, Y.: Convolutional sequence to sequence learning. In: ICML (2017)"},{"key":"36_CR7","doi-asserted-by":"crossref","unstructured":"Ji, J., Wang, Q., Toutanova, K., Gong, Y., Truong, S., Gao, J.: A nested attention neural hybrid model for grammatical error correction. In: ACL (2017)","DOI":"10.18653\/v1\/P17-1070"},{"key":"36_CR8","doi-asserted-by":"crossref","unstructured":"Junczys-Dowmunt, M., Grundkiewicz, R.: Phrase-based machine translation is state-of-the-art for automatic grammatical error correction. In: EMNLP (2016)","DOI":"10.18653\/v1\/D16-1161"},{"key":"36_CR9","doi-asserted-by":"crossref","unstructured":"Junczys-Dowmunt, M., Grundkiewicz, R., Guha, S., Heafield, K.: Approaching neural grammatical error correction as a low-resource machine translation task. CoRR abs\/1804.05940 (2018)","DOI":"10.18653\/v1\/N18-1055"},{"key":"36_CR10","unstructured":"Yu, L.-C., Lee, L.H., Chang, L.P.: Overview of grammatical error diagnosis for learning Chinese as foreign language. In: NLP-TEA (2014)"},{"key":"36_CR11","doi-asserted-by":"crossref","unstructured":"Ling, W., Dyer, C., Black, A.W., Trancoso, I.: Two\/too simple adaptations of word2vec for syntax problems. In: NAACL (2015)","DOI":"10.3115\/v1\/N15-1142"},{"key":"36_CR12","unstructured":"Neubig, G.: Neural machine translation and sequence-to-sequence models: a tutorial. CoRR abs\/1703.01619 (2017)"},{"key":"36_CR13","doi-asserted-by":"crossref","unstructured":"Ng, H.T., Wu, S.M., Wu, Y., Hadiwinoto, C., Tetreault, J.R.: The CoNLL-2013 shared task on grammatical error correction. In: CoNLL Shared Task (2013)","DOI":"10.3115\/v1\/W14-1701"},{"key":"36_CR14","unstructured":"Rao, G., Zhang, B., Xun, E., Lee, L.H.: IJCNLP-2017 task 1: Chinese grammatical error diagnosis. In: IJCNLP (2017)"},{"key":"36_CR15","doi-asserted-by":"crossref","unstructured":"Rush, A.M., Chopra, S., Weston, J.: A neural attention model for abstractive sentence summarization. In: EMNLP (2015)","DOI":"10.18653\/v1\/D15-1044"},{"key":"36_CR16","doi-asserted-by":"crossref","unstructured":"Schmaltz, A., Kim, Y., Rush, A.M., Shieber, S.M.: Adapting sequence models for sentence correction. In: EMNLP (2017)","DOI":"10.18653\/v1\/D17-1298"},{"key":"36_CR17","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Haddow, B., Birch, A.: Neural machine translation of rare words with subword units. CoRR abs\/1508.07909 (2016)","DOI":"10.18653\/v1\/P16-1162"},{"key":"36_CR18","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. JMLR 15, 1929\u20131958 (2014)","journal-title":"JMLR"},{"key":"36_CR19","doi-asserted-by":"crossref","unstructured":"Yuan, Z., Briscoe, T.: Grammatical error correction using neural machine translation. In: NAACL (2016)","DOI":"10.18653\/v1\/N16-1042"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99501-4_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:43:29Z","timestamp":1709811809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-99501-4_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319995007","9783319995014"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99501-4_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"14 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hohhot","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}