{"id":"https://openalex.org/W3194951844","doi":"https://doi.org/10.18653/v1/2022.acl-long.78","title":"HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation","display_name":"HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3194951844","doi":"https://doi.org/10.18653/v1/2022.acl-long.78","mag":"3194951844"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.acl-long.78","pdf_url":"https://aclanthology.org/2022.acl-long.78.pdf","source":{"id":"https://openalex.org/S4363608652","display_name":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2022.acl-long.78.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058829926","display_name":"Zhoujun Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoujun Cheng","raw_affiliation_strings":["Shanghai Jiao Tong University,"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102019411","display_name":"Haoyu Dong","orcid":"https://orcid.org/0009-0007-5003-6801"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Dong","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059929869","display_name":"Zhiruo Wang","orcid":"https://orcid.org/0000-0002-9839-8410"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiruo Wang","raw_affiliation_strings":["Carnegie Mellon University,"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786551","display_name":"Ran Jia","orcid":"https://orcid.org/0000-0001-9895-5734"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Jia","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032965724","display_name":"Jiaqi Guo","orcid":"https://orcid.org/0000-0001-6340-3331"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"funder","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Guo","raw_affiliation_strings":["Xi'an Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086261973","display_name":"Yan Gao","orcid":"https://orcid.org/0000-0002-8426-6724"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gao","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006300825","display_name":"Shi Han","orcid":"https://orcid.org/0000-0002-0360-6089"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Han","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025118710","display_name":"Jian\u2013Guang Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Guang Lou","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331488","display_name":"Dongmei Zhang","orcid":"https://orcid.org/0000-0002-9230-2799"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Zhang","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.619,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":25,"citation_normalized_percentile":{"value":0.999893,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9996,"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/T10028","display_name":"Topic Modeling","score":0.9996,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9888,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9789,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/zh\u00e0ng","display_name":"Zh\u00e0ng","score":0.727577},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5361469},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.47838652}],"concepts":[{"id":"https://openalex.org/C2777045944","wikidata":"https://www.wikidata.org/wiki/Q12170198","display_name":"Zh\u00e0ng","level":3,"score":0.727577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147367},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.58623004},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.57108253},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5361469},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.47838652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47817522},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.46809033},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.46312743},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34267443},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.25482723},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.19212127},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.12993935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10619873},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.08666581}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.acl-long.78","pdf_url":"https://aclanthology.org/2022.acl-long.78.pdf","source":{"id":"https://openalex.org/S4363608652","display_name":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2108.06712","pdf_url":"https://arxiv.org/pdf/2108.06712","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.acl-long.78","pdf_url":"https://aclanthology.org/2022.acl-long.78.pdf","source":{"id":"https://openalex.org/S4363608652","display_name":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.86,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":83,"referenced_works":["https://openalex.org/W2020608795","https://openalex.org/W2032655922","https://openalex.org/W2048282669","https://openalex.org/W2049633694","https://openalex.org/W2101105183","https://openalex.org/W2116716943","https://openalex.org/W2119717200","https://openalex.org/W2154764394","https://openalex.org/W2164777277","https://openalex.org/W2251957808","https://openalex.org/W2305610840","https://openalex.org/W2342096063","https://openalex.org/W2483402000","https://openalex.org/W2523790121","https://openalex.org/W2546950329","https://openalex.org/W2604225376","https://openalex.org/W2606974598","https://openalex.org/W2626778328","https://openalex.org/W2739046565","https://openalex.org/W2751448157","https://openalex.org/W2786162033","https://openalex.org/W2788809149","https://openalex.org/W2790415926","https://openalex.org/W2890431379","https://openalex.org/W2891991579","https://openalex.org/W2896457183","https://openalex.org/W2897164851","https://openalex.org/W2923400109","https://openalex.org/W2949417144","https://openalex.org/W2952294095","https://openalex.org/W2952523122","https://openalex.org/W2952913664","https://openalex.org/W2962736243","https://openalex.org/W2962843521","https://openalex.org/W2963091658","https://openalex.org/W2963319870","https://openalex.org/W2963341956","https://openalex.org/W2963899988","https://openalex.org/W2974895816","https://openalex.org/W2982399380","https://openalex.org/W2995580406","https://openalex.org/W2997107267","https://openalex.org/W3003937156","https://openalex.org/W3013003636","https://openalex.org/W3016496506","https://openalex.org/W3019839800","https://openalex.org/W3022814719","https://openalex.org/W3023487857","https://openalex.org/W3023546895","https://openalex.org/W3025624935","https://openalex.org/W3034556525","https://openalex.org/W3034999214","https://openalex.org/W3035140194","https://openalex.org/W3035231859","https://openalex.org/W3036120435","https://openalex.org/W3039127676","https://openalex.org/W3082274269","https://openalex.org/W3094024803","https://openalex.org/W3094380266","https://openalex.org/W3098495697","https://openalex.org/W3101082165","https://openalex.org/W3103611182","https://openalex.org/W3104196282","https://openalex.org/W3117281880","https://openalex.org/W3156235500","https://openalex.org/W3157891451","https://openalex.org/W3162945537","https://openalex.org/W3166890286","https://openalex.org/W3168052339","https://openalex.org/W3173486678","https://openalex.org/W3173700007","https://openalex.org/W3174986053","https://openalex.org/W3176395279","https://openalex.org/W4205508242","https://openalex.org/W4287727281","https://openalex.org/W4288089799","https://openalex.org/W4289494028","https://openalex.org/W4295312788","https://openalex.org/W4299503851","https://openalex.org/W4301359417","https://openalex.org/W4302814775","https://openalex.org/W4385245566","https://openalex.org/W881173"],"related_works":["https://openalex.org/W4377703168","https://openalex.org/W4287367794","https://openalex.org/W4206717790","https://openalex.org/W3153051631","https://openalex.org/W3125983217","https://openalex.org/W2999712133","https://openalex.org/W2896160555","https://openalex.org/W2805599431","https://openalex.org/W207304934","https://openalex.org/W2059087976"],"abstract_inverted_index":{"Zhoujun":[0],"Cheng,":[1],"Haoyu":[2],"Dong,":[3],"Zhiruo":[4],"Wang,":[5],"Ran":[6],"Jia,":[7],"Jiaqi":[8],"Guo,":[9],"Yan":[10],"Gao,":[11],"Shi":[12],"Han,":[13],"Jian-Guang":[14],"Lou,":[15],"Dongmei":[16],"Zhang.":[17],"Proceedings":[18],"of":[19,24],"the":[20,25],"60th":[21],"Annual":[22],"Meeting":[23],"Association":[26],"for":[27],"Computational":[28],"Linguistics":[29],"(Volume":[30],"1:":[31],"Long":[32],"Papers).":[33],"2022.":[34]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3194951844","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-02-20T10:32:45.323123","created_date":"2021-08-30"}