{"id":"https://openalex.org/W4289878414","doi":"https://doi.org/10.1145/3551637","title":"Contrastive Learning between Classical and Modern Chinese for Classical Chinese Machine Reading Comprehension","display_name":"Contrastive Learning between Classical and Modern Chinese for Classical Chinese Machine Reading Comprehension","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4289878414","doi":"https://doi.org/10.1145/3551637"},"language":"en","primary_location":{"id":"doi:10.1145/3551637","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3551637","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"},"type":"article","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/A5021380974","display_name":"Maofu Liu","orcid":"https://orcid.org/0000-0002-3732-4354"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maofu Liu","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044333761","display_name":"Junyi Xiang","orcid":"https://orcid.org/0000-0003-2717-7888"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Xiang","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319799","display_name":"Xia Xu","orcid":"https://orcid.org/0000-0002-4318-0852"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Xia","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047496283","display_name":"Huijun Hu","orcid":"https://orcid.org/0000-0003-1086-4788"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijun Hu","raw_affiliation_strings":["Wuhan University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021380974"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76534352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"2","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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":0.9970999956130981,"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":0.7102500796318054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6068700551986694},{"id":"https://openalex.org/keywords/synonym","display_name":"Synonym (taxonomy)","score":0.5900250673294067},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.5469865202903748},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5377703905105591},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5231124758720398},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5138552188873291},{"id":"https://openalex.org/keywords/reading-comprehension","display_name":"Reading comprehension","score":0.49369367957115173},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.46333587169647217},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.45970094203948975},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45899417996406555},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4525045156478882},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3295809328556061},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15358710289001465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1109883189201355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102500796318054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6068700551986694},{"id":"https://openalex.org/C173483453","wikidata":"https://www.wikidata.org/wiki/Q1040689","display_name":"Synonym (taxonomy)","level":3,"score":0.5900250673294067},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5469865202903748},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5377703905105591},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5231124758720398},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5138552188873291},{"id":"https://openalex.org/C2778780117","wikidata":"https://www.wikidata.org/wiki/Q3269423","display_name":"Reading comprehension","level":3,"score":0.49369367957115173},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.46333587169647217},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.45970094203948975},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45899417996406555},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4525045156478882},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3295809328556061},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15358710289001465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1109883189201355},{"id":"https://openalex.org/C157369684","wikidata":"https://www.wikidata.org/wiki/Q34740","display_name":"Genus","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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:10.1145/3551637","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3551637","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1682403713","https://openalex.org/W2270070752","https://openalex.org/W2286300105","https://openalex.org/W2606964149","https://openalex.org/W2612690371","https://openalex.org/W2788285996","https://openalex.org/W2799187742","https://openalex.org/W2889048825","https://openalex.org/W2895909786","https://openalex.org/W2897356710","https://openalex.org/W2945260553","https://openalex.org/W2949884065","https://openalex.org/W2950813464","https://openalex.org/W2952370363","https://openalex.org/W2963026768","https://openalex.org/W2963209464","https://openalex.org/W2963323070","https://openalex.org/W2963341956","https://openalex.org/W2963957489","https://openalex.org/W2965373594","https://openalex.org/W2970597249","https://openalex.org/W2977942273","https://openalex.org/W2997645422","https://openalex.org/W2998385486","https://openalex.org/W2998579922","https://openalex.org/W3002072934","https://openalex.org/W3011411500","https://openalex.org/W3011574394","https://openalex.org/W3014328670","https://openalex.org/W3034257506","https://openalex.org/W3034999214","https://openalex.org/W3088409176","https://openalex.org/W3106031450","https://openalex.org/W3114651185","https://openalex.org/W3173169192","https://openalex.org/W3173190788","https://openalex.org/W3176032431","https://openalex.org/W3176108833","https://openalex.org/W3214680243","https://openalex.org/W4205168733","https://openalex.org/W4210473988","https://openalex.org/W4213459054","https://openalex.org/W4242073862","https://openalex.org/W4252246627"],"related_works":["https://openalex.org/W2394264508","https://openalex.org/W2978098681","https://openalex.org/W2377222960","https://openalex.org/W2807441102","https://openalex.org/W2355732856","https://openalex.org/W2387706614","https://openalex.org/W3023960764","https://openalex.org/W2362662964","https://openalex.org/W245018718","https://openalex.org/W2018165340"],"abstract_inverted_index":{"By":[0],"leveraging":[1],"self-supervised":[2],"tasks,":[3],"pre-trained":[4,46],"language":[5,152],"model":[6,49],"(PLM)":[7],"has":[8],"made":[9],"significant":[10],"progress":[11],"in":[12,22,32,42,58,78],"the":[13,28,36,50,62,86,136,140,160],"field":[14],"of":[15,61,85,135],"machine":[16],"reading":[17],"comprehension":[18],"(MRC)":[19],".":[20],"However,":[21],"classical":[23,33,53,74,119,137],"Chinese":[24,77],"MRC":[25],"(CCMRC)":[26],",":[27],"passage":[29,138],"is":[30,110,128],"typically":[31],"style,":[34],"but":[35],"question":[37],"and":[38,54,75,96,139,155,163],"options":[39],"are":[40],"given":[41],"modern":[43,55,76,115,141],"style.":[44],"Existing":[45],"methods":[47],"seldom":[48],"relationship":[51],"between":[52,73],"styles,":[56],"resulting":[57],"overall":[59],"misunderstanding":[60],"passage.":[63],"In":[64,90],"this":[65],"paper,":[66],"we":[67],"propose":[68],"a":[69,82,92,131],"contrastive":[70],"learning":[71],"method":[72,150],"order":[79],"to":[80,112,118],"reach":[81],"deep":[83],"understanding":[84,134,153],"two":[87],"different":[88],"styles.":[89],"particular,":[91],"novel":[93],"pre-training":[94],"task":[95,109],"an":[97],"enhanced":[98,123],"co-matching":[99,125],"network":[100,127],"have":[101],"been":[102],"defined:":[103],"(1)":[104],"The":[105,122,143],"synonym":[106],"discrimination":[107],"(SD)":[108],"used":[111],"identify":[113],"whether":[114],"meaning":[116],"corresponds":[117],"Chinese.":[120],"(2)":[121],"dual":[124],"(EDCM)":[126],"employed":[129],"for":[130],"more":[132],"interactive":[133],"options.":[142],"experimental":[144],"results":[145],"show":[146],"that":[147],"our":[148],"proposed":[149],"improves":[151],"ability":[154],"outperforms":[156],"existing":[157],"PLMs":[158],"on":[159],"Haihua,":[161],"CCLUE,":[162],"ChID":[164],"datasets.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
