{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T01:19:42Z","timestamp":1777339182424,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1447795 and CNS-1622914"],"award-info":[{"award-number":["IIS-1447795 and CNS-1622914"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 61632011 and No. 61772156"],"award-info":[{"award-number":["No. 61632011 and No. 61772156"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330942","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"1634-1642","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["The Role of \"Condition\""],"prefix":"10.1145","author":[{"given":"Tianwen","family":"Jiang","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology and University of Notre Dame"}]},{"given":"Tong","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Notre Dame, Notre Dame, IN, USA"}]},{"given":"Bing","family":"Qin","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"given":"Ting","family":"Liu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"given":"Nitesh V.","family":"Chawla","sequence":"additional","affiliation":[{"name":"University of Notre Dame, Notre Dame, IN, USA"}]},{"given":"Meng","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Notre Dame, Notre Dame, IN, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL) . 344--354","author":"Angeli Gabor","unstructured":"Gabor Angeli , Melvin Jose Johnson Premkumar , and Christopher D. Manning . 2015. Leveraging Linguistic Structure For Open Domain Information Extraction . In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL) . 344--354 . Gabor Angeli, Melvin Jose Johnson Premkumar, and Christopher D. Manning. 2015. Leveraging Linguistic Structure For Open Domain Information Extraction. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL) . 344--354."},{"key":"e_1_3_2_1_2_1","volume-title":"32nd AAAI Conference on Artificial Intelligence (AAAI). 1811--1818","author":"Dettmers Tim","year":"2018","unstructured":"Tim Dettmers , Pasquale Minervini , Pontus Stenetorp , and Sebastian Riedel . 2018 . Convolutional 2D knowledge graph embeddings . In 32nd AAAI Conference on Artificial Intelligence (AAAI). 1811--1818 . Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018. Convolutional 2D knowledge graph embeddings. In 32nd AAAI Conference on Artificial Intelligence (AAAI). 1811--1818."},{"key":"e_1_3_2_1_3_1","volume-title":"Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) .","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . Bert: Pre-training of deep bidirectional transformers for language understanding . In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) . Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. Bert: Pre-training of deep bidirectional transformers for language understanding. In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) ."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1111"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of 5th International Joint Conference on Natural Language Processing (IJCNLP). 1--9.","author":"Gupta Sonal","year":"2011","unstructured":"Sonal Gupta and Christopher Manning . 2011 . Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers . In Proceedings of 5th International Joint Conference on Natural Language Processing (IJCNLP). 1--9. Sonal Gupta and Christopher Manning. 2011. Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers. In Proceedings of 5th International Joint Conference on Natural Language Processing (IJCNLP). 1--9."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098105"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1025"},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the Eighteenth International Conference on Machine Learning (ICML). 282--289","author":"Lafferty John D.","unstructured":"John D. Lafferty , Andrew McCallum , and Fernando C. N. Pereira . 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data . In Proceedings of the Eighteenth International Conference on Machine Learning (ICML). 282--289 . John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML). 282--289."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220017"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1360"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1101"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1086\/286947"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-4010"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP). 523--534","author":"Schmitz Michael","year":"2012","unstructured":"Michael Schmitz , Robert Bart , Stephen Soderland , Oren Etzioni , 2012 . Open language learning for information extraction . In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP). 523--534 . Michael Schmitz, Robert Bart, Stephen Soderland, Oren Etzioni, et almbox. 2012. Open language learning for information extraction. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP). 523--534."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2812203"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1081"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Martin Sundermeyer Ralf Schl\u00fcter and Hermann Ney. 2012. LSTM neural networks for language modeling. In Thirteenth annual conference of the international speech communication association (ISCA) .  Martin Sundermeyer Ralf Schl\u00fcter and Hermann Ney. 2012. LSTM neural networks for language modeling. In Thirteenth annual conference of the international speech communication association (ISCA) .","DOI":"10.21437\/Interspeech.2012-65"},{"key":"e_1_3_2_1_21_1","unstructured":"Victor N Tomilin Alena L Cherezova Yuri A Negulyaev and Svetlana B Semenova. 2016. TRPV5\/V6 channels mediate Ca2  Victor N Tomilin Alena L Cherezova Yuri A Negulyaev and Svetlana B Semenova. 2016. TRPV5\/V6 channels mediate Ca2"},{"key":"e_1_3_2_1_22_1","volume-title":"Journal of cellular biochemistry","author":"T","year":"2016","unstructured":"influx in jurkat T cells under the control of extracellular pH. Journal of cellular biochemistry , Vol. 117 , 1 ( 2016 ), 197--206. influx in jurkat T cells under the control of extracellular pH. Journal of cellular biochemistry , Vol. 117, 1 (2016), 197--206."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1088722"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313435"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3233547.3233594"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1060"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1038"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1132"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3314118"},{"key":"e_1_3_2_1_30_1","volume-title":"32nd AAAI Conference on Artificial Intelligence (AAAI). 6069--6076","author":"Zhang Yuyu","year":"2018","unstructured":"Yuyu Zhang , Hanjun Dai , Zornitsa Kozareva , Alexander J Smola , and Le Song . 2018 . Variational reasoning for question answering with knowledge graph . In 32nd AAAI Conference on Artificial Intelligence (AAAI). 6069--6076 . Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J Smola, and Le Song. 2018. Variational reasoning for question answering with knowledge graph. In 32nd AAAI Conference on Artificial Intelligence (AAAI). 6069--6076."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1113"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","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 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330942","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330942","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330942","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:04Z","timestamp":1750206364000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330942"}},"subtitle":["A Novel Scientific Knowledge Graph Representation and Construction Model"],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":31,"alternative-id":["10.1145\/3292500.3330942","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330942","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}