{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T16:58:31Z","timestamp":1768409911318,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T00:00:00Z","timestamp":1531958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["W911NF-17-C-0099"],"award-info":[{"award-number":["W911NF-17-C-0099"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF-09-2-0053"],"award-info":[{"award-number":["W911NF-09-2-0053"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS 16-18481, IIS 17-04532, IIS-17-41317"],"award-info":[{"award-number":["IIS 16-18481, IIS 17-04532, IIS-17-41317"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,19]]},"DOI":"10.1145\/3219819.3220064","type":"proceedings-article","created":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T13:05:12Z","timestamp":1532005512000},"page":"2701-2709","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":72,"title":["TaxoGen"],"prefix":"10.1145","author":[{"given":"Chao","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana, IL, USA"}]},{"given":"Fangbo","family":"Tao","sequence":"additional","affiliation":[{"name":"Facebook Inc., Menlo Park, CA, USA"}]},{"given":"Xiusi","family":"Chen","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}]},{"given":"Jiaming","family":"Shen","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana, IL, USA"}]},{"given":"Meng","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Notre Dame, Notre Dame, IN, USA"}]},{"given":"Brian","family":"Sadler","sequence":"additional","affiliation":[{"name":"U.S. Army Research Laboratory, Adelphi, MD, USA"}]},{"given":"Michelle","family":"Vanni","sequence":"additional","affiliation":[{"name":"U.S. Army Research Laboratory, Adelphi, MD, USA"}]},{"given":"Jiawei","family":"Han","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana, IL, USA"}]}],"member":"320","published-online":{"date-parts":[[2018,7,19]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/336597.336644"},{"key":"e_1_3_2_2_2_1","first-page":"424","volume-title":"EMNLP","author":"Anke L. E.","year":"2016","unstructured":"L. E. Anke , J. Camacho-Collados , C. D. Bovi , and H. Saggion . Supervised distributional hypernym discovery via domain adaptation . In EMNLP , pages 424 -- 435 , 2016 . L. E. Anke, J. Camacho-Collados, C. D. Bovi, and H. Saggion. Supervised distributional hypernym discovery via domain adaptation. In EMNLP, pages 424--435, 2016."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1098"},{"key":"e_1_3_2_2_4_1","first-page":"17","volume-title":"NIPS","author":"Blei D. M.","year":"2003","unstructured":"D. M. Blei , T. L. Griffiths , M. I. Jordan , and J. B. Tenenbaum . Hierarchical topic models and the nested chinese restaurant process . In NIPS , pages 17 -- 24 , 2003 . D. M. Blei, T. L. Griffiths, M. I. Jordan, and J. B. Tenenbaum. Hierarchical topic models and the nested chinese restaurant process. In NIPS, pages 17--24, 2003."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/2898607.2898816"},{"key":"e_1_3_2_2_6_1","first-page":"435","volume-title":"ECAI","author":"Cimiano P.","year":"2004","unstructured":"P. Cimiano , A. Hotho , and S. Staab . Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text . In ECAI , pages 435 -- 439 , 2004 . P. Cimiano, A. Hotho, and S. Staab. Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text. In ECAI, pages 435--439, 2004."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/1991336.1991350"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/599609.599630"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1075"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1113"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2152"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.3115\/992133.992154"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098105"},{"key":"e_1_3_2_2_15_1","first-page":"1110","volume-title":"ACL","author":"Kozareva Z.","year":"2010","unstructured":"Z. Kozareva and E. H. Hovy . A semi-supervised method to learn and construct taxonomies using the web . In ACL , pages 1110 -- 1118 , 2010 . Z. Kozareva and E. H. Hovy. A semi-supervised method to learn and construct taxonomies using the web. In ACL, pages 1110--1118, 2010."},{"key":"e_1_3_2_2_16_1","first-page":"91","volume-title":"WebDB","author":"Kumar R.","year":"2001","unstructured":"R. Kumar , P. Raghavan , S. Rajagopalan , and A. Tomkins . On semi-automated web taxonomy construction . In WebDB , pages 91 -- 96 , 2001 . R. Kumar, P. Raghavan, S. Rajagopalan, and A. Tomkins. On semi-automated web taxonomy construction. In WebDB, pages 91--96, 2001."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339754"},{"key":"e_1_3_2_2_18_1","first-page":"810","volume-title":"EMNLP","author":"Luu A. T.","year":"2014","unstructured":"A. T. Luu , J. Kim , and S. Ng . Taxonomy construction using syntactic contextual evidence . In EMNLP , pages 810 -- 819 , 2014 . A. T. Luu, J. Kim, and S. Ng. Taxonomy construction using syntactic contextual evidence. In EMNLP, pages 810--819, 2014."},{"key":"e_1_3_2_2_19_1","first-page":"403","volume-title":"EMNLP","author":"Luu A. T.","year":"2016","unstructured":"A. T. Luu , Y. Tay , S. C. Hui , and S. Ng . Learning term embeddings for taxonomic relation identification using dynamic weighting neural network . In EMNLP , pages 403 -- 413 , 2016 . A. T. Luu, Y. Tay, S. C. Hui, and S. Ng. Learning term embeddings for taxonomic relation identification using dynamic weighting neural network. In EMNLP, pages 403--413, 2016."},{"key":"e_1_3_2_2_20_1","first-page":"3111","volume-title":"NIPS","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , I. Sutskever , K. Chen , G. S. Corrado , and J. Dean . Distributed representations of words and phrases and their compositionality . In NIPS , pages 3111 -- 3119 , 2013 . T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, pages 3111--3119, 2013."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273576"},{"key":"e_1_3_2_2_22_1","first-page":"1135","volume-title":"EMNLP","author":"Nakashole N.","year":"2012","unstructured":"N. Nakashole , G. Weikum , and F. Suchanek . Patty: A taxonomy of relational patterns with semantic types . In EMNLP , pages 1135 -- 1145 , 2012 . N. Nakashole, G. Weikum, and F. Suchanek. Patty: A taxonomy of relational patterns with semantic types. In EMNLP, pages 1135--1145, 2012."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1206"},{"key":"e_1_3_2_2_24_1","volume-title":"AAAI","author":"Ponzetto S. P.","year":"2007","unstructured":"S. P. Ponzetto and M. Strube . Deriving a large-scale taxonomy from wikipedia . In AAAI , 2007 . S. P. Ponzetto and M. Strube. Deriving a large-scale taxonomy from wikipedia. In AAAI, 2007."},{"key":"e_1_3_2_2_25_1","volume-title":"LREC","author":"Seitner J.","year":"2016","unstructured":"J. Seitner , C. Bizer , K. Eckert , S. Faralli , R. Meusel , H. Paulheim , and S. P. Ponzetto . A large database of hypernymy relations extracted from the web . In LREC , 2016 . J. Seitner, C. Bizer, K. Eckert, S. Faralli, R. Meusel, H. Paulheim, and S. P. Ponzetto. A large database of hypernymy relations extracted from the web. In LREC, 2016."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04930-9_36"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487631"},{"key":"e_1_3_2_2_28_1","volume-title":"COLING","author":"Weeds J.","year":"2014","unstructured":"J. Weeds , D. Clarke , J. Reffin , D. J. Weir , and B. Keller . Learning to distinguish hypernyms and co-hyponyms . In COLING , 2014 . J. Weeds, D. Clarke, J. Reffin, D. J. Weir, and B. Keller. Learning to distinguish hypernyms and co-hyponyms. In COLING, 2014."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213891"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/1687878.1687918"},{"key":"e_1_3_2_2_31_1","volume-title":"IJCAI","author":"Yu Z.","year":"2015","unstructured":"Z. Yu , H. Wang , X. Lin , and M. Wang . Learning term embeddings for hypernymy identification . In IJCAI , 2015 . Z. Yu, H. Wang, X. Lin, and M. Wang. Learning term embeddings for hypernymy identification. In IJCAI, 2015."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556236"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526724"}],"event":{"name":"KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"London United Kingdom","acronym":"KDD '18","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3220064","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3220064","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3220064","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:29Z","timestamp":1750212449000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3220064"}},"subtitle":["Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering"],"short-title":[],"issued":{"date-parts":[[2018,7,19]]},"references-count":33,"alternative-id":["10.1145\/3219819.3220064","10.1145\/3219819"],"URL":"https:\/\/doi.org\/10.1145\/3219819.3220064","relation":{},"subject":[],"published":{"date-parts":[[2018,7,19]]},"assertion":[{"value":"2018-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}