{"id":"https://openalex.org/W2968154628","doi":"https://doi.org/10.18653/v1/d19-1606","title":"Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning","display_name":"Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2968154628","doi":"https://doi.org/10.18653/v1/d19-1606","mag":"2968154628"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1606","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1606","pdf_url":"https://www.aclweb.org/anthology/D19-1606.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1606.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029074038","display_name":"Pradeep Dasigi","orcid":"https://orcid.org/0000-0001-7127-1316"},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradeep Dasigi","raw_affiliation_strings":["Allen Institute for Artificial Intelligence","ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031981513","display_name":"Nelson F. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nelson F. Liu","raw_affiliation_strings":["Allen Institute for Artificial Intelligence","ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087098432","display_name":"Ana Marasovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ana Marasovi\u0107","raw_affiliation_strings":["ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALLEN INSTITUTE FOR ARTIFICIAL INTELLIGENCE","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah A. Smith","raw_affiliation_strings":["Allen Institute for Artificial Intelligence","University of Washington ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"University of Washington ;","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035088083","display_name":"Matt Gardner","orcid":"https://orcid.org/0000-0001-8458-1727"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Gardner","raw_affiliation_strings":["Allen Institute for Artificial Intelligence","University of Washington ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"University of Washington ;","institution_ids":["https://openalex.org/I201448701"]}]}],"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":true,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5924","last_page":"5931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T10260","display_name":"Software Engineering Research","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/coreference","display_name":"Coreference","score":0.9303821325302124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8178207278251648},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6856445074081421},{"id":"https://openalex.org/keywords/reading-comprehension","display_name":"Reading comprehension","score":0.6764349937438965},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.6600046157836914},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6315374970436096},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6276575326919556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.619637131690979},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.614640474319458},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5710528492927551},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.49276402592658997},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.463466078042984},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41311779618263245},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3145487904548645},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1110607385635376},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06949573755264282}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9303821325302124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8178207278251648},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6856445074081421},{"id":"https://openalex.org/C2778780117","wikidata":"https://www.wikidata.org/wiki/Q3269423","display_name":"Reading comprehension","level":3,"score":0.6764349937438965},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.6600046157836914},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6315374970436096},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6276575326919556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.619637131690979},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.614640474319458},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5710528492927551},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.49276402592658997},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.463466078042984},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41311779618263245},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3145487904548645},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1110607385635376},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06949573755264282},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d19-1606","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1606","pdf_url":"https://www.aclweb.org/anthology/D19-1606.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1908.05803","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.05803","pdf_url":"https://arxiv.org/pdf/1908.05803","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2968154628","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1908.05803","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1908.05803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.05803","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1606","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1606","pdf_url":"https://www.aclweb.org/anthology/D19-1606.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2968154628.pdf","grobid_xml":"https://content.openalex.org/works/W2968154628.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1566289585","https://openalex.org/W1767221188","https://openalex.org/W2053670600","https://openalex.org/W2125436846","https://openalex.org/W2163794943","https://openalex.org/W2165086233","https://openalex.org/W2293778248","https://openalex.org/W2295586832","https://openalex.org/W2574762171","https://openalex.org/W2606964149","https://openalex.org/W2805589998","https://openalex.org/W2912924812","https://openalex.org/W2919420119","https://openalex.org/W2946809241","https://openalex.org/W2950813464","https://openalex.org/W2951534261","https://openalex.org/W2954843021","https://openalex.org/W2962718483","https://openalex.org/W2962727366","https://openalex.org/W2962736243","https://openalex.org/W2963339397","https://openalex.org/W2963341956","https://openalex.org/W2963383094","https://openalex.org/W2963403868","https://openalex.org/W2963564796","https://openalex.org/W2963691697","https://openalex.org/W2963748441","https://openalex.org/W2964027319"],"related_works":["https://openalex.org/W2970745243","https://openalex.org/W2896457183","https://openalex.org/W2965373594","https://openalex.org/W2951365061","https://openalex.org/W2898662126","https://openalex.org/W2804897457","https://openalex.org/W2952306174","https://openalex.org/W2963323070","https://openalex.org/W2250539671","https://openalex.org/W3119482299","https://openalex.org/W2890325887","https://openalex.org/W2609608256","https://openalex.org/W2810720867","https://openalex.org/W3213896436","https://openalex.org/W3153067519","https://openalex.org/W2252000379","https://openalex.org/W1550536609","https://openalex.org/W2949561162","https://openalex.org/W2170054717","https://openalex.org/W3200559415"],"abstract_inverted_index":{"Pradeep":[0],"Dasigi,":[1],"Nelson":[2],"F.":[3],"Liu,":[4],"Ana":[5],"Marasovi\u0107,":[6],"Noah":[7],"A.":[8],"Smith,":[9],"Matt":[10],"Gardner.":[11],"Proceedings":[12],"of":[13],"the":[14,25],"2019":[15],"Conference":[16,29],"on":[17,30],"Empirical":[18],"Methods":[19],"in":[20],"Natural":[21,31],"Language":[22,32],"Processing":[23,33],"and":[24],"9th":[26],"International":[27],"Joint":[28],"(EMNLP-IJCNLP).":[34],"2019.":[35]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}