{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:04:58Z","timestamp":1743109498394,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030223533"},{"type":"electronic","value":"9783030223540"}],"license":[{"start":{"date-parts":[[2019,6,21]],"date-time":"2019-06-21T00:00:00Z","timestamp":1561075200000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-22354-0_41","type":"book-chapter","created":{"date-parts":[[2019,6,20]],"date-time":"2019-06-20T07:02:51Z","timestamp":1561014171000},"page":"462-473","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Method of Collecting Four Character Medicine Effect Phrases in TCM Patents Based on Semi-supervised Learning"],"prefix":"10.1007","author":[{"given":"Deng","family":"Na","sequence":"first","affiliation":[]},{"given":"Chen","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Xiong","family":"Caiquan","sequence":"additional","affiliation":[]},{"given":"Wang","family":"Chunzhi","sequence":"additional","affiliation":[]},{"given":"Zhang","family":"Mingwu","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Zhiwei","sequence":"additional","affiliation":[]},{"given":"Li","family":"Desheng","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Xuehong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,21]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Lupu, M., Fujii, A., Oard, D.W., Iwayama, M., Kando, N.: Patent-Related Tasks at NTCIR. Current Challenges in Patent Information Retrieval Series, vol. 37. Springer, Berlin, Heidelberg, New York (2017)","key":"41_CR1","DOI":"10.1007\/978-3-662-53817-3_3"},{"key":"41_CR2","series-title":"Lecture Notes in Computer Science","volume-title":"CLEF-IP 2009: Retrieval Experiments in the Intellectual Property Domain","author":"G Roda","year":"2009","unstructured":"Roda, G., Tait, J., Piroi, F., Zenz, V.: CLEF-IP 2009: Retrieval Experiments in the Intellectual Property Domain. Lecture Notes in Computer Science, vol. 6241. Springer, Berlin, Heidelberg, New York (2009)"},{"doi-asserted-by":"crossref","unstructured":"Sharma, P., Tripathi, R., Singh, V.K., Tripathi, R.C.: Automated patents search through semantic similarity. In: International Conference on Computer, Communication and Control (IC4). IEEE, Piscataway, NJ (2016)","key":"41_CR3","DOI":"10.1109\/IC4.2015.7375692"},{"doi-asserted-by":"crossref","unstructured":"Wang, F., Lin, L.: Domain lexicon-based query expansion for patent retrieval. In: International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 1543\u20131547. IEEE, Piscataway, NJ (2016)","key":"41_CR4","DOI":"10.1109\/FSKD.2016.7603405"},{"issue":"2","key":"41_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2783702.2783704","volume":"16","author":"L Zhang","year":"2015","unstructured":"Zhang, L., Lei, L., Tao, L.: Patent mining: a survey. ACM Sigkdd Explor. Newsl. 16(2), 1\u201319 (2015)","journal-title":"ACM Sigkdd Explor. Newsl."},{"issue":"1","key":"41_CR6","first-page":"6","volume":"10","author":"RGM Magali","year":"2017","unstructured":"Magali, R.G.M., Juan, R.S., Zenilton, K.G., Paulo, E.M.: Automatic patent clustering using SOM and bibliographic coupling. Braz. J. Inf. Syst. 10(1), 6\u201318 (2017)","journal-title":"Braz. J. Inf. Syst."},{"doi-asserted-by":"crossref","unstructured":"Shanie, T., Suprijadi, J.: Text Grouping in Patent Analysis Using Adaptive K-means Clustering Algorithm. American Institute of Physics Conference Series, vol. 1827. AIP Publishing (2017) Article ID 020041","key":"41_CR7","DOI":"10.1063\/1.4979457"},{"doi-asserted-by":"crossref","unstructured":"Shamsi, F.A., Aung, Z.: Automatic patent classification by a three-phase model with document frequency matrix and boosted tree. In: 5th International Conference on Electronic Devices, Systems and Applications, pp. 1\u20134. IEEE, Piscataway, NJ (2017)","key":"41_CR8","DOI":"10.1109\/ICEDSA.2016.7818566"},{"key":"41_CR9","first-page":"71","volume-title":"Product Functional Information Based Automatic Patent Classification: Method and Experimental Studies, Information Systems","author":"WQ Li","year":"2017","unstructured":"Li, W.Q., Li, Y., Chen, J., Hou, C.Y.: Product Functional Information Based Automatic Patent Classification: Method and Experimental Studies, Information Systems, vol. 67, pp. 71\u201382. Elsevier, Amsterdam (2017)"},{"doi-asserted-by":"crossref","unstructured":"Triulzi, G., Alstott, J., Magee, C.L.: Predicting technology performance improvement rates by mining patent data. In: SSRN Electronic Journal. SSRN, Rochester, NY (2017)","key":"41_CR10","DOI":"10.2139\/ssrn.2987588"},{"doi-asserted-by":"crossref","unstructured":"Fu, T., Lei, Z., Lee, W.C.: Patent citation recommendation for examiners. In: IEEE International Conference on Data Mining, pp. 751\u2013756. IEEE, Piscataway, NJ (2016)","key":"41_CR11","DOI":"10.1109\/ICDM.2015.151"},{"doi-asserted-by":"crossref","unstructured":"Wang, F., Lin, L. F., Yang, Z.: An ontology-based automatic semantic annotation approach for patent document retrieval in product innovation design. In: Applied Mechanics and Materials, vol. 446\u2013447, pp. 1581\u20131590. Trans Tech Publications Inc, Switzerland (2013)","key":"41_CR12","DOI":"10.4028\/www.scientific.net\/AMM.446-447.1581"},{"doi-asserted-by":"crossref","unstructured":"Okamoto, M., Shan, Z., Orihara, R.: Applying information extraction for patent structure analysis. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 989\u2013992. ACM, New York (2017)","key":"41_CR13","DOI":"10.1145\/3077136.3080698"},{"doi-asserted-by":"crossref","unstructured":"Xu, M., Sun, F., Jiang, X.: Multi-label learning with co-training based on semi-supervised regression. In: 2014 International Conference on Security, Pattern Analysis, and Cybernetic, pp. 175\u2013180. IEEE, Piscataway, NJ (2014)","key":"41_CR14","DOI":"10.1109\/SPAC.2014.6982681"},{"unstructured":"Wang, W., Lee, X. D., Hu, A.L., Geng, G.G.: Co-training based Semi-supervised web spam detection. In: International Conference on Fuzzy Systems & Knowledge Discovery, pp. 789\u2013793. IEEE, Piscataway, NJ (2013)","key":"41_CR15"},{"doi-asserted-by":"crossref","unstructured":"Iosifidis, V., Ntoutsi, E.: Large scale sentiment learning with limited labels. In: Acm Sigkdd International Conference on Knowledge Discovery & Data Mining, pp. 1823\u20131832. ACM, New York (2017)","key":"41_CR16","DOI":"10.1145\/3097983.3098159"},{"doi-asserted-by":"crossref","unstructured":"Blum, A.: Combining labeled and unlabeled data with co-training. In: Conference on Computational Learning Theory, pp. 92\u2013100. ACM, New York (1998)","key":"41_CR17","DOI":"10.1145\/279943.279962"},{"doi-asserted-by":"crossref","unstructured":"Deng, N., Chen, X., Ruan, O., Wang, C., Ye, Z., & Tian, J.: The construction method of clue words thesaurus in Chinese patents based on iteration and self-filtering. In: International Conference on Emerging Internetworking. Springer, Berlin, Heidelberg, New York (2017)","key":"41_CR18","DOI":"10.1007\/978-3-319-59463-7_12"},{"unstructured":"Deng, N., Chen, X., Li, D.: Intelligent recommendation of Chinese traditional medicine patents supporting new medicine\u2019s R&D. J. Comput. Theor. Nanosci. 13, 5907\u20135913 (2016)","key":"41_CR19"},{"issue":"4","key":"41_CR20","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.12928\/telkomnika.v13i4.2389","volume":"13","author":"D Na","year":"2015","unstructured":"Na, D., Xu, C.: Automatically generation and evaluation of stop words list for Chinese patents. Telkomnika 13(4), 1414\u20131421 (2015)","journal-title":"Telkomnika"},{"doi-asserted-by":"crossref","unstructured":"Deng, N., Chen, X., Ruan, O., Wang, C., Ye, Z., Tian, J.: PaEffExtr: a method to extract effect statements automatically from patents. In: 11th International Conference on Complex, Intelligent and Software Intensive Systems. Springer, Berlin, Heidelberg, New York (2017)","key":"41_CR21","DOI":"10.1007\/978-3-319-61566-0_62"},{"doi-asserted-by":"crossref","unstructured":"Chen, X., Deng, N.: A semi-supervised machine learning method for Chinese patent effect annotation. In: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 243\u2013250. IEEE","key":"41_CR22","DOI":"10.1109\/CyberC.2015.99"}],"container-title":["Advances in Intelligent Systems and Computing","Complex, Intelligent, and Software Intensive Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-22354-0_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,28]],"date-time":"2019-06-28T21:38:45Z","timestamp":1561757925000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-22354-0_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,21]]},"ISBN":["9783030223533","9783030223540"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-22354-0_41","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,6,21]]},"assertion":[{"value":"21 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CISIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Complex, Intelligent, and Software Intensive Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"3 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"coisis2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}