{"id":"https://openalex.org/W2951036431","doi":"https://doi.org/10.18653/v1/n19-1271","title":"Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension","display_name":"Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951036431","doi":"https://doi.org/10.18653/v1/n19-1271","mag":"2951036431"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n19-1271","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n19-1271","pdf_url":null,"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 of the North","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/n19-1271","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006654661","display_name":"Yichong Xu","orcid":"https://orcid.org/0000-0002-1302-738X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yichong Xu","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/A5100374810","display_name":"Xiaodong Liu","orcid":"https://orcid.org/0009-0004-6648-2302"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaodong Liu","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101180037","display_name":"Yelong Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yelong Shen","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627504","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-3163-3420"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jingjing Liu","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114910293","display_name":"Jianfeng Gao","orcid":"https://orcid.org/0000-0002-5702-6143"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianfeng Gao","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006654661"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.91576786,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95642345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2644","last_page":"2655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.711761474609375},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6406143307685852},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5668586492538452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5666319727897644},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.527162492275238},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5093103647232056},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.48719853162765503},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.42805641889572144},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.42134928703308105},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.404884934425354},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10987675189971924},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.09473907947540283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711761474609375},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6406143307685852},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5668586492538452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666319727897644},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.527162492275238},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5093103647232056},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.48719853162765503},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.42805641889572144},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.42134928703308105},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.404884934425354},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10987675189971924},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.09473907947540283},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/n19-1271","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n19-1271","pdf_url":null,"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 of the North","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/n19-1271","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n19-1271","pdf_url":null,"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 of the North","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1905522558","https://openalex.org/W2064675550","https://openalex.org/W2158899491","https://openalex.org/W2250539671","https://openalex.org/W2259472270","https://openalex.org/W2295072214","https://openalex.org/W2550837020","https://openalex.org/W2551396370","https://openalex.org/W2557764419","https://openalex.org/W2597655663","https://openalex.org/W2626154462","https://openalex.org/W2742122443","https://openalex.org/W2743945814","https://openalex.org/W2785176118","https://openalex.org/W2788285996","https://openalex.org/W2798459010","https://openalex.org/W2798858969","https://openalex.org/W2809324505","https://openalex.org/W2894490436","https://openalex.org/W2896457183","https://openalex.org/W2913340405","https://openalex.org/W2951534261","https://openalex.org/W2952230511","https://openalex.org/W2962739339","https://openalex.org/W2962874939","https://openalex.org/W2962877709","https://openalex.org/W2962985038","https://openalex.org/W2963323070","https://openalex.org/W2963341956","https://openalex.org/W2963366389","https://openalex.org/W2963403868","https://openalex.org/W2963547127","https://openalex.org/W2963595025","https://openalex.org/W2963677766","https://openalex.org/W2963681467","https://openalex.org/W2963748441","https://openalex.org/W2963756346","https://openalex.org/W2963769536","https://openalex.org/W2963842982","https://openalex.org/W2963854351","https://openalex.org/W2963898730","https://openalex.org/W2964121744","https://openalex.org/W2964185324","https://openalex.org/W2964199361","https://openalex.org/W3098057198","https://openalex.org/W4293350112","https://openalex.org/W4295253143","https://openalex.org/W4299838440","https://openalex.org/W4302343710","https://openalex.org/W4385245566","https://openalex.org/W4394643672"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W2756978580"],"abstract_inverted_index":{"Yichong":[0],"Xu,":[1],"Xiaodong":[2],"Liu,":[3,7],"Yelong":[4],"Shen,":[5],"Jingjing":[6],"Jianfeng":[8],"Gao.":[9],"Proceedings":[10],"of":[11,15,20],"the":[12,16,21],"2019":[13],"Conference":[14],"North":[17],"American":[18],"Chapter":[19],"Association":[22],"for":[23],"Computational":[24],"Linguistics:":[25],"Human":[26],"Language":[27],"Technologies,":[28],"Volume":[29],"1":[30],"(Long":[31],"and":[32],"Short":[33],"Papers).":[34],"2019.":[35]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
