{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:12:15Z","timestamp":1730200335594,"version":"3.28.0"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386632","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:28:47Z","timestamp":1705948127000},"page":"292-303","source":"Crossref","is-referenced-by-count":0,"title":["Detecting Semantic Errors in Tables using Textual Evidence"],"prefix":"10.1109","author":[{"given":"Minh","family":"Pham","sequence":"first","affiliation":[{"name":"University of Southern California,Information Sciences Institute,Los Angeles,CA"}]},{"given":"Craig A.","family":"Knoblock","sequence":"additional","affiliation":[{"name":"University of Southern California,Information Sciences Institute,Los Angeles,CA"}]},{"given":"Muhao","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Southern California,Information Sciences Institute,Los Angeles,CA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883080"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.371"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.338"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.14778\/2994509.2994518"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3324956"},{"article-title":"Outlier detection in heterogeneous datasets using automatic tuple expansion","year":"2016","author":"Mariet","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465327"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2749431"},{"key":"ref9","article-title":"Evidence-based factual error correction","author":"Thorne","year":"2020","journal-title":"arXiv preprint arXiv:2012.15788"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1085"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016859"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.194"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.518"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.14778\/2535568.2448943"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1250"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88361-4_18"},{"article-title":"Recovering the semantics of tabular web data","year":"2015","author":"Braunschweig","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16562"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2695664.2695794"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.200"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463238"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"ref25","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv preprint arXiv:1810.04805"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(94)00051-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.171"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.89"},{"key":"ref29","article-title":"Seq2sql: Generating structured queries from natural language using reinforcement learning","author":"Zhong","year":"2017","journal-title":"arXiv preprint arXiv:1709.00103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1142"},{"article-title":"Tabfact: A large-scale dataset for table-based fact verification","volume-title":"International Conference on Learning Representations (ICLR)","author":"Wenhu Chen","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.210"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.398"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196889"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3319855"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3319888"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358129"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407801"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/488"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00300"},{"key":"ref41","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.148"},{"key":"ref43","article-title":"Tabfact: A large-scale dataset for table-based fact verification","author":"Chen","year":"2019","journal-title":"arXiv preprint arXiv:1909.02164"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.27"},{"key":"ref45","article-title":"Tapex: Table pre-training via learning a neural sql executor","author":"Liu","year":"2021","journal-title":"arXiv preprint arXiv:2107.07653"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2023,12,15]]},"location":"Sorrento, Italy","end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386632.pdf?arnumber=10386632","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T01:44:51Z","timestamp":1706751891000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386632\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386632","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}