{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T19:46:21Z","timestamp":1775245581325,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030017156","type":"print"},{"value":"9783030017163","type":"electronic"}],"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\/978-3-030-01716-3_30","type":"book-chapter","created":{"date-parts":[[2018,10,6]],"date-time":"2018-10-06T10:11:06Z","timestamp":1538820666000},"page":"363-375","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning to Detect Verbose Expressions in Spoken Texts"],"prefix":"10.1007","author":[{"given":"Qingbin","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shizhu","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengping","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,7]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Adda-Decker, M., Adda, G., Lamel, L.: Investigating text normalization and pronunciation variants for German broadcast transcription. In: Sixth International Conference on Spoken Language Processing (2000)","DOI":"10.21437\/ICSLP.2000-66"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Aw, A., Zhang, M., Xiao, J., Su, J.: A phrase-based statistical model for SMS text normalization. In: Proceedings of the COLING\/ACL on Main Conference Poster Sessions, pp. 33\u201340. Association for Computational Linguistics (2006)","DOI":"10.3115\/1273073.1273078"},{"key":"30_CR3","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. CoRR abs\/1409.0473 (2014)"},{"key":"30_CR4","unstructured":"Beaufort, R., Roekhaut, S., Cougnon, L.A., Fairon, C.: A hybrid rule\/model-based finite-state framework for normalizing SMS messages. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 770\u2013779. Association for Computational Linguistics, Uppsala, July 2010"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Cook, P., Stevenson, S.: An unsupervised model for text message normalization. In: Proceedings of the Workshop on Computational Approaches to Linguistic Creativity, pp. 71\u201378. Association for Computational Linguistics (2009)","DOI":"10.3115\/1642011.1642021"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Dong, L., Mallinson, J., Reddy, S., Lapata, M.: Learning to paraphrase for question answering. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 875\u2013886. Association for Computational Linguistics, Copenhagen, September 2017","DOI":"10.18653\/v1\/D17-1091"},{"key":"30_CR7","unstructured":"Hassan, H., Menezes, A.: Social text normalization using contextual graph random walks. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1577\u20131586. Association for Computational Linguistics, Sofia, August 2013"},{"issue":"8","key":"30_CR8","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":"30_CR9","unstructured":"Huang, Z., Xu, W., Yu, K.: Bidirectional LSTM-CRF models for sequence tagging. CoRR abs\/1508.01991 (2015)"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Khashabi, D., Khot, T., Sabharwal, A., Roth, D.: Learning what is essential in questions. In: Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pp. 80\u201389. Association for Computational Linguistics, Vancouver, August 2017","DOI":"10.18653\/v1\/K17-1010"},{"key":"30_CR11","unstructured":"Liu, F., Weng, F., Wang, B., Liu, Y.: Insertion, deletion, or substitution? Normalizing text messages without pre-categorization nor supervision. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 71\u201376 (2011)"},{"key":"30_CR12","unstructured":"Liu, Y., Sun, C., Lin, L., Wang, X.: Learning natural language inference using bidirectional LSTM model and inner-attention. CoRR abs\/1605.09090 (2016)"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Qin, K., Wang, L., Kim, J.: Joint modeling of content and discourse relations in dialogues. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 974\u2013984. Association for Computational Linguistics, Vancouver, July 2017","DOI":"10.18653\/v1\/P17-1090"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Shaw, P., Uszkoreit, J., Vaswani, A.: Self-attention with relative position representations. CoRR abs\/1803.02155 (2018)","DOI":"10.18653\/v1\/N18-2074"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Sonmez, C., Ozgur, A.: A graph-based approach for contextual text normalization. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 313\u2013324. Association for Computational Linguistics, Doha, October 2014","DOI":"10.3115\/v1\/D14-1037"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Sproat, R., Jaitly, N.: RNN approaches to text normalization: A challenge. CoRR abs\/1611.00068 (2016)","DOI":"10.21437\/Interspeech.2017-35"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Sridhar, V.K.R.: Unsupervised text normalization using distributed representations of words and phrases. In: NAACL HLT 2015, pp. 8\u201316 (2015)","DOI":"10.3115\/v1\/W15-1502"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Sun, W., Sui, Z., Wang, M., Wang, X.: Chinese semantic role labeling with shallow parsing. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3. EMNLP 2009, vol. 3, pp. 1475\u20131483. Association for Computational Linguistics, Stroudsburg (2009)","DOI":"10.3115\/1699648.1699694"},{"key":"30_CR19","unstructured":"Vaswani, A., et al.: Attention is all you need. CoRR abs\/1706.03762 (2017)"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Xia, Y., Wong, K.F., Li, W.: A phonetic-based approach to Chinese chat text normalization. In: Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pp. 993\u20131000. Association for Computational Linguistics, Sydney, July 2006","DOI":"10.3115\/1220175.1220300"},{"key":"30_CR21","doi-asserted-by":"crossref","unstructured":"Yang, Y., Eisenstein, J.: A log-linear model for unsupervised text normalization. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 61\u201372. Association for Computational Linguistics, Seattle, October 2013","DOI":"10.18653\/v1\/D13-1007"}],"container-title":["Lecture Notes in Computer Science","Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01716-3_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T18:47:15Z","timestamp":1775242035000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01716-3_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030017156","9783030017163"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01716-3_30","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":"7 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China National Conference on Chinese Computational Linguistics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","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":"19 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cncl2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cips-cl.org\/static\/CCL2018\/index.html","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":"www.softconf.com","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"84","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":"33","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":"39% - 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":"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","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}