{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:14:21Z","timestamp":1743153261528,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811579837"},{"type":"electronic","value":"9789811579844"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-7984-4_8","type":"book-chapter","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T12:03:10Z","timestamp":1597924990000},"page":"101-112","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep Neural Semantic Network for Keywords Extraction on Short Text"],"prefix":"10.1007","author":[{"given":"Chundong","family":"She","sequence":"first","affiliation":[]},{"given":"Huanying","family":"You","sequence":"additional","affiliation":[]},{"given":"Changhai","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Shaohua","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Boxiang","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Juan","family":"Jia","sequence":"additional","affiliation":[]},{"given":"Xinglei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yanming","family":"Qi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"unstructured":"Frank, E., Paynter, G.W., Witten, I.H., Gutwin, C., NevillManning, C.G.: Domain-specific keyphrase extraction. In: Proceedings of 16th International Joint Conference on Artificial Intelligence, pp. 668\u2013673 (1999)","key":"8_CR1"},{"doi-asserted-by":"crossref","unstructured":"Pal, A.R., Maiti, P.K., Saha, D.: An approach to automatic text summarization using simplified lesk algorithm and wordnet. Int. J. Control Theory Comput. Model. 3 (2013)","key":"8_CR2","DOI":"10.5121\/ijctcm.2013.3502"},{"key":"8_CR3","first-page":"39","volume":"2","author":"Y Zhang","year":"2004","unstructured":"Zhang, Y., Zincir-Heywood, N., Milios, E.: World wide web site summarization. Web Intell. Agent Syst. 2, 39\u201353 (2004)","journal-title":"Web Intell. Agent Syst."},{"doi-asserted-by":"crossref","unstructured":"Hulth, A., Megyesi, B.B.: A study on automatically extracted keywords in text categorization. In: Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics, pp. 537\u2013544 (2006)","key":"8_CR4","DOI":"10.3115\/1220175.1220243"},{"key":"8_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1007\/11569596_63","volume-title":"Computer and Information Sciences - ISCIS 2005","author":"A \u00d6zg\u00fcr","year":"2005","unstructured":"\u00d6zg\u00fcr, A., \u00d6zg\u00fcr, L., G\u00fcng\u00f6r, T.: Text categorization with class-based and corpus-based keyword selection. In: Yolum, p, G\u00fcng\u00f6r, T., G\u00fcrgen, F., \u00d6zturan, C. (eds.) ISCIS 2005. LNCS, vol. 3733, pp. 606\u2013615. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11569596_63"},{"unstructured":"Berend, G.: Opinion expression mining by exploiting keyphrase extraction. In: Proceedings of the 5th International Joint Conference on Natural Language Processing, pp. 1162\u20131170 (2011)","key":"8_CR6"},{"unstructured":"Yang, Z., Nyberg, E.: Leveraging procedural knowledge base for task-oriented search. In: Proceedings of the 38th International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM (2011)","key":"8_CR7"},{"doi-asserted-by":"crossref","unstructured":"Liu, R., Nyberg, E.: A phased ranking model for question answering. In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, CIKM 2013, New York, NY, USA, pp. 79\u201388 (2013)","key":"8_CR8","DOI":"10.1145\/2505515.2505678"},{"issue":"3","key":"8_CR9","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1145\/183422.183428","volume":"12","author":"E Riloff","year":"1994","unstructured":"Riloff, E., Lehnert, W.: Information extraction as a basis for high-precision text classification. ACM Trans. Inf. Syst. (TOIS) 12(3), 296\u2013333 (1994)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"unstructured":"Witten, I.H., Paynter, G.W., Frank, E., Gutwin, C., NevillManning, C.G.: KEA: practical automatic keyphrase extraction. In: Proceedings of the 4th ACM Conference on Digital Libraries, DL 1999, New York, NY, USA, pp. 254\u2013255 (1999)","key":"8_CR10"},{"issue":"4","key":"8_CR11","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1023\/A:1009976227802","volume":"2","author":"PD Turney","year":"2000","unstructured":"Turney, P.D.: Learning algorithms for keyphrase extraction. Inf. Retrieval 2(4), 303\u2013336 (2000)","journal-title":"Inf. Retrieval"},{"doi-asserted-by":"crossref","unstructured":"Medelyan, O., Perrone, V., Witten, I.H.: Subject metadata support powered by Maui. In: Hunter, J., Lagoze, C., Lee Giles, C., Li, Y.-F. (eds.) JCDL, pp. 407\u2013408. ACM (2010)","key":"8_CR12","DOI":"10.1145\/1816123.1816204"},{"doi-asserted-by":"crossref","unstructured":"Litvak, M., Last, M.: Graph-based keyword extraction for single-document summarization. In: Proceedings of the Workshop on Multisource Multilingual Information Extraction and Summarization, MMIES 2008, pp. 17\u201324. Association for Computational Linguistics, Stroudsburg (2008)","key":"8_CR13","DOI":"10.3115\/1613172.1613178"},{"issue":"11","key":"8_CR14","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1145\/361219.361220","volume":"18","author":"G Salton","year":"1975","unstructured":"Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. Commun. ACM 18(11), 613\u2013620 (1975)","journal-title":"Commun. ACM"},{"unstructured":"Mihalcea, R., Tarau, P.: TextRank: bringing order into texts. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, Barcelona, Spain, 25\u2013 26 July 2004, pp. 404\u2013411 (2004)","key":"8_CR15"},{"key":"8_CR16","first-page":"1169","volume":"4","author":"C Zhang","year":"2008","unstructured":"Zhang, C.: Automatic keyword extraction from documents using conditional random fields. J. Comput. Inf. Syst. 4, 1169\u20131180 (2008)","journal-title":"J. Comput. Inf. Syst."},{"key":"8_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1007\/978-3-319-21042-1_12","volume-title":"Web-Age Information Management","author":"Y Chen","year":"2015","unstructured":"Chen, Y., Yin, J., Zhu, W., Qiu, S.: Novel word features for keyword extraction. In: Dong, X.L., Yu, X., Li, J., Sun, Y. (eds.) WAIM 2015. LNCS, vol. 9098, pp. 148\u2013160. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-21042-1_12"},{"doi-asserted-by":"crossref","unstructured":"Ardiansyah, S., Majid, M.A., Zain, J.M.: Knowledge of extraction from trained neural network by using decision tree. In: Proceedings of the International Conference on Science in Information Technology, Balikpapan, Indonesia, 26\u201327 October, pp. 220\u2013225 (2016)","key":"8_CR18","DOI":"10.1109\/ICSITech.2016.7852637"},{"unstructured":"Witten, I.H., Paynter, G.W., Frank, E., Gutwin, C., Nevill-Manning, C.G.: KEA: practical automatic keyphrase extraction. In: Proceedings of the ACM Conference on Digital Libraries, Berkeley, CA, USA, pp. 254\u2013255 (1999)","key":"8_CR19"},{"unstructured":"Zhou, C., Li, S.: Research of information extraction algorithm based on hidden Markov model. In: Proceedings of the International Conference on Information Science and Engineering, Hangzhou, China, pp. 1\u20134 (2010)","key":"8_CR20"},{"key":"8_CR21","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/978-3-319-45510-5_6","volume-title":"Text, Speech, and Dialogue","author":"J Kanis","year":"2016","unstructured":"Kanis, J.: Digging language model \u2013 maximum entropy phrase extraction. In: Sojka, P., Hor\u00e1k, A., Kope\u010dek, I., Pala, K. (eds.) TSD 2016. LNCS (LNAI), vol. 9924, pp. 46\u201353. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45510-5_6"},{"unstructured":"Ousirimaneechai, N., Sinthupinyo, S.: Extraction of trend keywords and stop words from Thai Facebook pages using character n-grams. Int. J. Mach. Learn. Comput. 6, 589\u2013594 (2018)","key":"8_CR22"},{"key":"8_CR23","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1007\/978-3-319-07467-2_42","volume-title":"Modern Advances in Applied Intelligence","author":"R-X Lin","year":"2014","unstructured":"Lin, R.-X., Yang, H.-L.: Apply the dynamic n-gram to extract the keywords of Chinese news. In: Ali, M., Pan, J.-S., Chen, S.-M., Horng, M.-F. (eds.) IEA\/AIE 2014. LNCS (LNAI), vol. 8482, pp. 398\u2013406. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-07467-2_42"},{"doi-asserted-by":"publisher","unstructured":"Hasan, H.M.M., Sanyal, F., Chaki, D.: A novel approach to extract important keywords from documents applying latent semantic analysis. In: 2018 10th International Conference on Knowledge and Smart Technology (KST), Chiang Mai, pp. 117\u2013122 (2018). https:\/\/doi.org\/10.1109\/kst.2018.8426144","key":"8_CR24","DOI":"10.1109\/kst.2018.8426144"},{"doi-asserted-by":"crossref","unstructured":"Huang, P.S., et al.: Learning deep structured semantic models for web search using clickthrough data. In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Management. ACM (2013)","key":"8_CR25","DOI":"10.1145\/2505515.2505665"},{"key":"8_CR26","series-title":"Studies in Fuzziness and Soft Computing","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/3-540-33486-6_6","volume-title":"Innovations in Machine Learning","author":"Y Bengio","year":"2006","unstructured":"Bengio, Y., Schwenk, H., Sen\u00e9cal, J.S., Morin, F., Gauvain, J.L.: Neural probabilistic language models. In: Holmes, D.E., Jain, L.C. (eds.) Innovations in Machine Learning. STUDFUZZ, vol. 194, pp. 137\u2013186. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/3-540-33486-6_6"},{"unstructured":"Mikolov, T., Chen, K., Corrado, G., et al.: Efficient estimation of word representations in vector space, arXiv preprint arXiv:1301.3781 (2013)","key":"8_CR27"},{"unstructured":"Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31st International Conference on Machine Learning, pp. 1188\u20131196 (2014)","key":"8_CR28"},{"unstructured":"Devlin, J., et al.: BERT: pre-training of deep bidirectional transformers for language understanding (2018)","key":"8_CR29"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-7984-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:41:59Z","timestamp":1710250919000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-15-7984-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811579837","9789811579844"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-7984-4_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"20 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiyuan","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2020.icpcsee.org","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":"392","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":"74","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":"24","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":"19% - 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":"5","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)"}}]}}