{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T09:58:26Z","timestamp":1729677506206,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/bigdata.2016.7841064","type":"proceedings-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T21:46:59Z","timestamp":1486504019000},"page":"3895-3902","source":"Crossref","is-referenced-by-count":1,"title":["Scaling character-based morphological tagging to fourteen languages"],"prefix":"10.1109","author":[{"given":"Georg","family":"Heigold","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Josef","family":"van Genabith","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gunter","family":"Neumann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/974358.974391"},{"key":"ref11","article-title":"Tagging inflective languages: Prediction of morphological categories for a rich, structured tagset","author":"haji?","year":"1998","journal-title":"Proceedings of COLING"},{"key":"ref12","article-title":"Efficient higher-order CRFs for morphological tagging","author":"m\u00fcller","year":"2013","journal-title":"ACL"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1055"},{"key":"ref14","article-title":"Neural morphological tagging from characters for morphologically rich languages","volume":"abs 1606 6640","author":"heigold","year":"2016","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-24797-2","author":"graves","year":"2012","journal-title":"Supervised Sequence Labelling with Recurrent Neural Networks ser Studies in Computational Intelligence"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.2.234"},{"key":"ref17","article-title":"How to construct deep recurrent neural networks","author":"pascanu","year":"2014","journal-title":"ICLRE"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2067"},{"article-title":"Mul-tilingual language processing from bytes","year":"2015","author":"gillick","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1025"},{"key":"ref5","article-title":"End-to-end sequence labeling via bidirectional LSTM-CNNs-CRF","author":"ma","year":"2016","journal-title":"ACL"},{"article-title":"Character-aware neural language models","year":"0","author":"kim","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1041"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1176"},{"article-title":"Learning character-level representations for part-of-speech tagging","year":"0","author":"dos santos","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2058"},{"article-title":"Distributed representations of words and phrases and their compositionality","year":"0","author":"mikolov","key":"ref20"},{"key":"ref22","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Networks for Machine Learning"},{"key":"ref21","first-page":"69","article-title":"Quantifying and measuring morphological complexity","author":"bane","year":"0"}],"event":{"name":"2016 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2016,12,5]]},"location":"Washington DC,USA","end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7818133\/7840573\/07841064.pdf?arnumber=7841064","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T11:18:21Z","timestamp":1568805501000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7841064\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2016.7841064","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}