{"id":"https://openalex.org/W3167986842","doi":"https://doi.org/10.1145/3447548.3467211","title":"EXACTA: Explainable Column Annotation","display_name":"EXACTA: Explainable Column Annotation","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3167986842","doi":"https://doi.org/10.1145/3447548.3467211","mag":"3167986842"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467211","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035279240","display_name":"Yikun Xian","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yikun Xian","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024078415","display_name":"Handong Zhao","orcid":"https://orcid.org/0000-0003-3775-2954"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Handong Zhao","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069834920","display_name":"Tak Yeon Lee","orcid":"https://orcid.org/0000-0002-9235-9947"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tak Yeon Lee","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718934","display_name":"Sungchul Kim","orcid":"https://orcid.org/0000-0003-3580-5290"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungchul Kim","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009957887","display_name":"Ryan A. Rossi","orcid":"https://orcid.org/0000-0001-9758-0635"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Rossi","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017387871","display_name":"Zuohui Fu","orcid":"https://orcid.org/0000-0002-3881-7935"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zuohui Fu","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085818578","display_name":"Gerard de Melo","orcid":"https://orcid.org/0000-0002-2930-2059"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerard de Melo","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, Germany","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075159410","display_name":"S. Muthukrishnan","orcid":"https://orcid.org/0009-0007-8936-5709"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Muthukrishnan","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3775","last_page":"3785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.8735001683235168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7426651120185852},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.7001655697822571},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6307253241539001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5190380215644836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4248514175415039},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4116186797618866},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4115902781486511},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10587441921234131}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8735001683235168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426651120185852},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.7001655697822571},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6307253241539001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5190380215644836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4248514175415039},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4116186797618866},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4115902781486511},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10587441921234131},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467211","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2046441607","https://openalex.org/W2127795553","https://openalex.org/W2255747889","https://openalex.org/W2516809705","https://openalex.org/W2522154031","https://openalex.org/W2762307198","https://openalex.org/W2801992635","https://openalex.org/W2898796029","https://openalex.org/W2950133940","https://openalex.org/W2951621897","https://openalex.org/W2965875055","https://openalex.org/W2982378168","https://openalex.org/W3022522459","https://openalex.org/W3089177865","https://openalex.org/W3093532296","https://openalex.org/W3102172133","https://openalex.org/W3135278626","https://openalex.org/W3172887316","https://openalex.org/W4214717370"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W1590965489","https://openalex.org/W2361861616"],"abstract_inverted_index":{"Column":[0],"annotation,":[1],"the":[2,72,98,103,114,119,183],"process":[3],"of":[4,57,75,82,105,121],"annotating":[5],"tabular":[6],"columns":[7,60,212],"with":[8,33,63,198],"labels,":[9],"plays":[10],"a":[11,21,132,149,152,155,179],"fundamental":[12],"role":[13],"in":[14,45,85],"digital":[15],"marketing":[16,87],"data":[17,29,40,90],"governance.":[18],"It":[19],"has":[20,67],"direct":[22],"impact":[23],"on":[24,113,168,182],"how":[25],"customers":[26],"manage":[27],"their":[28,55],"and":[30,36,96,164,174,177],"facilitates":[31],"compliance":[32],"regulations,":[34],"restrictions,":[35],"policies":[37],"applicable":[38],"to":[39,71,93,101,147,154,213],"use.":[41],"Despite":[42],"substantial":[43],"gains":[44],"accuracy":[46],"brought":[47],"by":[48],"recent":[49],"deep":[50,76,200],"learning-driven":[51],"column":[52,116,124,153],"annotation":[53,99,117,125,162,195],"methods,":[54],"incapability":[56],"explaining":[58],"why":[59],"are":[61],"matched":[62],"particular":[64,83],"target":[65,157],"labels":[66],"drawn":[68],"concern,":[69],"due":[70],"black-box":[73],"nature":[74],"neural":[77],"networks.":[78],"Such":[79],"explainability":[80],"is":[81],"importance":[84],"industrial":[86],"scenarios,":[88],"where":[89],"stewards":[91],"need":[92],"quickly":[94],"verify":[95],"calibrate":[97],"results":[100,186],"ascertain":[102],"correctness":[104],"downstream":[106],"applications.":[107],"This":[108],"work":[109],"sheds":[110],"new":[111,133],"light":[112],"explainable":[115,208],"problem,":[118],"first":[120],"its":[122],"kind":[123],"task.":[126],"To":[127],"achieve":[128],"this,":[129],"we":[130],"propose":[131],"approach":[134],"called":[135],"EXACTA,":[136],"which":[137],"conducts":[138],"multi-hop":[139],"knowledge":[140],"graph":[141],"reasoning":[142],"using":[143],"inverse":[144],"reinforcement":[145],"learning":[146],"find":[148],"path":[150],"from":[151],"potential":[156],"label":[158],"while":[159],"ensuring":[160],"both":[161,171],"performance":[163,196],"explainability.":[165,184],"We":[166],"experiment":[167],"four":[169],"benchmarks,":[170],"publicly":[172],"available":[173],"real-world":[175],"ones,":[176],"undertake":[178],"comprehensive":[180],"analysis":[181],"The":[185],"suggest":[187],"that":[188],"our":[189],"method":[190],"not":[191],"only":[192],"provides":[193],"competitive":[194],"compared":[197],"existing":[199],"learning-based":[201],"models,":[202],"but":[203],"more":[204],"importantly,":[205],"produces":[206],"faithfully":[207],"paths":[209],"for":[210],"annotated":[211],"facilitate":[214],"human":[215],"examination.":[216]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
