{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:42:53Z","timestamp":1742960573340,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031243363"},{"type":"electronic","value":"9783031243370"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-24337-0_46","type":"book-chapter","created":{"date-parts":[[2023,2,25]],"date-time":"2023-02-25T12:02:40Z","timestamp":1677326560000},"page":"648-657","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Speeding up\u00a0Natural Language Parsing by\u00a0Reusing Partial Results"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8528-7562","authenticated-orcid":false,"given":"Michalina","family":"Strzyz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0752-8812","authenticated-orcid":false,"given":"Carlos","family":"G\u00f3mez-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,26]]},"reference":[{"key":"46_CR1","doi-asserted-by":"crossref","unstructured":"Baroni, M.: Distributions in text. In: Corpus Linguistics: An international handbook, vol. 2, pp. 803\u2013821. Mouton de Gruyter (2009)","DOI":"10.1515\/9783110213881.2.803"},{"key":"46_CR2","unstructured":"Bodenstab, N., Dunlop, A., Hall, K., Roark, B.: Beam-width prediction for efficient context-free parsing. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, HLT 2011, pp. 440\u2013449. Association for Computational Linguistics, Stroudsburg (2011). http:\/\/dl.acm.org\/citation.cfm?id=2002472.2002529"},{"issue":"3","key":"46_CR3","doi-asserted-by":"publisher","first-page":"2081","DOI":"10.1007\/s10462-017-9584-0","volume":"52","author":"C G\u00f3mez-Rodr\u00edguez","year":"2017","unstructured":"G\u00f3mez-Rodr\u00edguez, C., Alonso-Alonso, I., Vilares, D.: How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis. Artif. Intell. Rev. 52(3), 2081\u20132097 (2017). https:\/\/doi.org\/10.1007\/s10462-017-9584-0","journal-title":"Artif. Intell. Rev."},{"issue":"1\u20134","key":"46_CR4","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s10462-009-9135-4","volume":"32","author":"LQ Ha","year":"2009","unstructured":"Ha, L.Q., Hanna, P., Ming, J., Smith, F.: Extending Zipf\u2019s law to n-grams for large corpora. Artif. Intell. Rev. 32(1\u20134), 101\u2013113 (2009). https:\/\/doi.org\/10.1007\/s10462-009-9135-4","journal-title":"Artif. Intell. Rev."},{"key":"46_CR5","doi-asserted-by":"crossref","unstructured":"Ha, L.Q., Sicilia-Garcia, E.I., Ming, J., Smith, F.J.: Extension of Zipf\u2019s law to words and phrases. In: Proceedings of the 19th International Conference on Computational Linguistics-Volume 1, pp. 1\u20136. Association for Computational Linguistics (2002)","DOI":"10.3115\/1072228.1072345"},{"key":"46_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/1-4020-5695-8","volume-title":"Case-Based Approximate Reasoning, Theory and Decision Library","author":"E H\u00fcllermeier","year":"2007","unstructured":"H\u00fcllermeier, E.: Case-Based Approximate Reasoning, Theory and Decision Library, vol. 44. Springer, Cham (2007). https:\/\/doi.org\/10.1007\/1-4020-5695-8"},{"key":"46_CR7","doi-asserted-by":"crossref","unstructured":"Kiperwasser, E., Goldberg, Y.: Simple and accurate dependency parsing using bidirectional LSTM feature representations. TACL 4, 313\u2013327 (2016). https:\/\/transacl.org\/ojs\/index.php\/tacl\/article\/view\/885","DOI":"10.1162\/tacl_a_00101"},{"key":"46_CR8","unstructured":"Nivre, J., Hall, J., Nilsson, J.: Maltparser: a data-driven parser-generator for dependency parsing. In: Proceedings of LREC, vol. 6, pp. 2216\u20132219 (2006)"},{"key":"46_CR9","unstructured":"Nivre, J., et al.: Universal dependencies 2.1 (2017). http:\/\/hdl.handle.net\/11234\/1-2515. LINDAT\/CLARIN digital library at the Institute of Formal and Applied Linguistics (\u2019UFAL), Faculty of Mathematics and Physics, Charles University"},{"issue":"3","key":"46_CR10","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1017\/S0269888906000695","volume":"20","author":"MM Richter","year":"2005","unstructured":"Richter, M.M., Aamodt, A.: Case-based reasoning foundations. Knowl. Eng. Rev. 20(3), 203\u2013207 (2005). https:\/\/doi.org\/10.1017\/S0269888906000695","journal-title":"Knowl. Eng. Rev."},{"issue":"3","key":"46_CR11","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/0306-4573(85)90106-2","volume":"21","author":"F Smith","year":"1985","unstructured":"Smith, F., Devine, K.: Storing and retrieving word phrases. Inf. Process. Manage. 21(3), 215\u2013224 (1985)","journal-title":"Inf. Process. Manage."},{"key":"46_CR12","doi-asserted-by":"crossref","unstructured":"Straka, M., Strakov\u00e1, J.: Tokenizing, pos tagging, lemmatizing and parsing ud 2.0 with udpipe. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 88\u201399. Association for Computational Linguistics, Vancouver, August 2017. http:\/\/www.aclweb.org\/anthology\/K\/K17\/K17-3009.pdf","DOI":"10.18653\/v1\/K17-3009"},{"key":"46_CR13","doi-asserted-by":"crossref","unstructured":"Vieira, T., Eisner, J.: Learning to prune: exploring the frontier of fast and accurate parsing. Trans. Assoc. Comput. Linguist. 5, 263\u2013278 (2017). https:\/\/transacl.org\/ojs\/index.php\/tacl\/article\/view\/924","DOI":"10.1162\/tacl_a_00060"}],"container-title":["Lecture Notes in Computer Science","Computational Linguistics and Intelligent Text Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-24337-0_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T19:18:28Z","timestamp":1701976708000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-24337-0_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031243363","9783031243370"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-24337-0_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICLing","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Linguistics and Intelligent Text Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"La Rochelle","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicling2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.cicling.org\/2019\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"335","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":"95","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":"0","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":"28% - 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":"2.3","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":"3.4","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)"}}]}}