{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T18:44:45Z","timestamp":1771613085585,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201606080078"],"award-info":[{"award-number":["201606080078"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"ARC","award":["DP160102412"],"award-info":[{"award-number":["DP160102412"]}]},{"name":"ARC","award":["DP170104747"],"award-info":[{"award-number":["DP170104747"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61532021"],"award-info":[{"award-number":["61532021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61572122"],"award-info":[{"award-number":["61572122"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["U1736104"],"award-info":[{"award-number":["U1736104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019,1,1]]},"DOI":"10.1109\/tkde.2018.2823758","type":"journal-article","created":{"date-parts":[[2018,4,6]],"date-time":"2018-04-06T19:42:47Z","timestamp":1523043767000},"page":"120-137","source":"Crossref","is-referenced-by-count":31,"title":["An Efficient Method for High Quality and Cohesive Topical Phrase Mining"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1875-2919","authenticated-orcid":false,"given":"Bing","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6184-4771","authenticated-orcid":false,"given":"Xiaochun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengfei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5094-5980","authenticated-orcid":false,"given":"Yanchun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073473"},{"key":"ref38","author":"shen","year":"2005","journal-title":"Voting between Multiple Data Representations for Text Chunking"},{"key":"ref33","author":"mcdonald","year":"2009","journal-title":"Handbook of Biological Statistics"},{"key":"ref32","first-page":"288","article-title":"Reading tea leaves: How humans interpret topic models","author":"chang","year":"2009","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref31","first-page":"287","article-title":"Fast and intuitive clustering of web documents","volume":"97","author":"zamir","year":"1997","journal-title":"Proc Int'l Conf Knowledge Discovery and Data Mining"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/130226.134466"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3115\/974235.974260"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219852"},{"key":"ref35","first-page":"152","article-title":"A simple rule-based part of speech tagger","author":"brill","year":"2002","journal-title":"Proc of the 3rd Conf on Applied Natural Language Processing"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.20982\/tqmp.03.2.p043"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219915"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143966"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2751523"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2007.86"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487631"},{"key":"ref14","first-page":"214","article-title":"A phrase discovering topic model using hierarchical pitman-yor processes","author":"lindsey","year":"2012","journal-title":"Proc Joint Conf Empirical Methods in Natural Language Processing and Computational Natural Language Learning"},{"key":"ref15","first-page":"886","article-title":"Using web-scale N-grams to improve base NP parsing performance","author":"pitler","year":"2010","journal-title":"Proc 23rd Int Conf Comput Linguistics"},{"key":"ref16","author":"porter","year":"2001","journal-title":"Snowball A Language for Stemming Algorithms"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1108\/eb046814"},{"key":"ref18","first-page":"157","article-title":"On the criterion that a given system of deviations from the\n probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen\n from random sampling","volume":"50","author":"pearson","year":"1900","journal-title":"Philosophical Magazine"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"5228","DOI":"10.1073\/pnas.0307752101","article-title":"Finding scientific topics","volume":"101","author":"griffiths","year":"2004","journal-title":"Proc Natl Acad Sci United States America"},{"key":"ref28","article-title":"Multivariate analysis","author":"martin","year":"1979"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-3474-3_10"},{"key":"ref27","first-page":"82","author":"fisher","year":"1992","journal-title":"The arrangement of field experiments[M]\/Breakthroughs in statistics"},{"key":"ref3","first-page":"620","article-title":"Document\n summarization based on data reconstruction","author":"he","year":"2012","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973440.46"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/99935.99938"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1017\/S0142716406060024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920914"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.14778\/1453856.1453929"},{"key":"ref2","first-page":"4367","article-title":"EKNOT:\n Event knowledge from news and opinions in twitter","author":"li","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.14778\/2735508.2735519"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557077"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32025-0_13"},{"key":"ref42","article-title":"Visualizing topics with multi-word expressions","author":"blei","year":"2009","journal-title":"Machine Learning and Statistics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s007999900023"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143967"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1126\/science.1242072","article-title":"Clustering by fast search and find of density peaks","volume":"344","author":"rodriguez","year":"2014","journal-title":"Sci"},{"key":"ref26","author":"fisher","year":"1937","journal-title":"The Design of Experiments"},{"key":"ref43","first-page":"3474","article-title":"Efficiently mining high quality phrases from texts","author":"li","year":"2017","journal-title":"AAAI"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/313238.313437"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/8566021\/08332520.pdf?arnumber=8332520","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:14:12Z","timestamp":1657746852000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8332520\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,1]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2018.2823758","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,1]]}}}