{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:10:51Z","timestamp":1743109851107,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319997216"},{"type":"electronic","value":"9783319997223"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","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\/978-3-319-99722-3_49","type":"book-chapter","created":{"date-parts":[[2018,8,25]],"date-time":"2018-08-25T02:35:23Z","timestamp":1535164523000},"page":"490-498","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Effective Sequence Labeling with Hybrid Neural-CRF Models"],"prefix":"10.1007","author":[{"given":"Pablo","family":"da Costa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustavo H.","family":"Paetzold","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,26]]},"reference":[{"key":"49_CR1","unstructured":"Ammar, W., Mulcaire, G., Tsvetkov, Y., Lample, G., Dyer, C., Smith, N.A.: Massively multilingual word embeddings. arXiv preprint arXiv:1602.01925 (2016)"},{"key":"49_CR2","doi-asserted-by":"crossref","unstructured":"Berend, G.: Sparse coding of neural word embeddings for multilingual sequence labeling. arXiv preprint arXiv:1612.07130 (2016)","DOI":"10.1162\/tacl_a_00059"},{"key":"49_CR3","unstructured":"Cardoso, N., Santos, D.: Directivas para a identifica\u00e7\u00e3o e classifica\u00e7\u00e3o sem\u00e2ntica na colec\u00e7\u00e3o dourada do harem (2007)"},{"key":"49_CR4","first-page":"2493","volume":"12","author":"R Collobert","year":"2011","unstructured":"Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P.: Natural language processing (almost) from scratch. J. Mach. Learn. Res. 12, 2493\u20132537 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"49_CR5","doi-asserted-by":"crossref","unstructured":"dos Santos, C.N., Guimar\u00e3es, V.: Boosting named entity recognition with neural character embeddings. CoRR, abs\/1505.05008 (2015). http:\/\/arxiv.org\/abs\/1505.05008","DOI":"10.18653\/v1\/W15-3904"},{"key":"49_CR6","unstructured":"Dos Santos, C.N., Zadrozny, B.: Learning character-level representations for part-of-speech tagging. In: Proceedings of the 31st International Conference on International Conference on Machine Learning, ICML 2014, vol. 32, pp. II-1818\u2013II-1826. JMLR.org (2014). http:\/\/dl.acm.org\/citation.cfm?id=3044805.3045095"},{"issue":"8","key":"49_CR7","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"49_CR8","unstructured":"Kiperwasser, E., Goldberg, Y.: Easy-first dependency parsing with hierarchical tree LSTMs. CoRR, abs\/1603.00375 (2016). http:\/\/arxiv.org\/abs\/1603.00375"},{"key":"49_CR9","unstructured":"Kiperwasser, E., Goldberg, Y.: Simple and accurate dependency parsing using bidirectional LSTM feature representations. CoRR, abs\/1603.04351 (2016). http:\/\/arxiv.org\/abs\/1603.04351"},{"key":"49_CR10","unstructured":"Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the Eighteenth International Conference on Machine Learning, ICML 2001, San Francisco, CA, USA, pp. 282\u2013289. Morgan Kaufmann Publishers Inc. (2001). http:\/\/dl.acm.org\/citation.cfm?id=645530.655813. ISBN 1-55860-778-1"},{"key":"49_CR11","first-page":"3111","volume":"26","author":"T Mikolov","year":"2013","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed representations of words and phrases and their compositionality. Adv. Neural Inf. Process. Syst. 26, 3111\u20133119 (2013)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"49_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, D.Q., Dras, M., Johnson, M.: A novel neural network model for joint POS tagging and graph-based dependency parsing. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 134\u2013142 (2017). http:\/\/www.aclweb.org\/anthology\/K17-3014","DOI":"10.18653\/v1\/K17-3014"},{"key":"49_CR13","unstructured":"Nivre, J., et al.: Universal dependencies 1.2 (2015)"},{"key":"49_CR14","doi-asserted-by":"crossref","unstructured":"Plank, B., S\u00f8gaard, A., Goldberg, Y.: Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss. arXiv preprint arXiv:1604.05529 (2016)","DOI":"10.18653\/v1\/P16-2067"},{"issue":"1","key":"49_CR15","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1162\/COLI_a_00133","volume":"39","author":"R Tsarfaty","year":"2013","unstructured":"Tsarfaty, R., Seddah, D., K\u00fcbler, S., Nivre, J.: Parsing morphologically rich languages: introduction to the special issue. Comput. Linguist. 39(1), 15\u201322 (2013)","journal-title":"Comput. Linguist."},{"key":"49_CR16","unstructured":"Yang, Z., Salakhutdinov, R., Cohen, W.W.: Multi-task cross-lingual sequence tagging from scratch. CoRR, abs\/1603.06270 (2016). http:\/\/arxiv.org\/abs\/1603.06270"},{"key":"49_CR17","doi-asserted-by":"crossref","unstructured":"Yasunaga, M., Kasai, J., Radev, D.: Robust multilingual part-of-speech tagging via adversarial training. arXiv preprint arXiv:1711.04903 (2017)","DOI":"10.18653\/v1\/N18-1089"}],"container-title":["Lecture Notes in Computer Science","Computational Processing of the Portuguese Language"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99722-3_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:53:50Z","timestamp":1709812430000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-99722-3_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319997216","9783319997223"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99722-3_49","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"26 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PROPOR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Processing of the Portuguese Language","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canela","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","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":"24 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"propor2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.inf.ufrgs.br\/propor-2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"92","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"46% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}