{"id":"https://openalex.org/W4311187195","doi":"https://doi.org/10.1109/taslp.2022.3224302","title":"Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer","display_name":"Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4311187195","doi":"https://doi.org/10.1109/taslp.2022.3224302"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2022.3224302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3224302","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language 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/A5060506052","display_name":"Peiming Guo","orcid":"https://orcid.org/0000-0002-0890-2290"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peiming Guo","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108615106","display_name":"Shen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Huang","raw_affiliation_strings":["Alibaba DAMO Academy, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037746050","display_name":"Peijie Jiang","orcid":"https://orcid.org/0000-0001-8780-6776"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijie Jiang","raw_affiliation_strings":["School of New Media and Communication, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of New Media and Communication, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005091713","display_name":"Yueheng Sun","orcid":"https://orcid.org/0000-0003-4569-8193"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueheng Sun","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004953265","display_name":"Meishan Zhang","orcid":"https://orcid.org/0000-0001-6335-1340"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meishan Zhang","raw_affiliation_strings":["Institute of Computing and Intelligence, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing and Intelligence, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402911","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-3895-5510"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Institute of Computing and Intelligence, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing and Intelligence, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060506052"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.7957,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7716738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"322","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9941999912261963,"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/treebank","display_name":"Treebank","score":0.897881269454956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8562625646591187},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6907740235328674},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6613367795944214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6500605940818787},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6328438520431519},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.6088607311248779},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5417363047599792},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5341673493385315},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4872225821018219},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43016722798347473}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.897881269454956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8562625646591187},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6907740235328674},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6613367795944214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6500605940818787},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6328438520431519},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.6088607311248779},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5417363047599792},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5341673493385315},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4872225821018219},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43016722798347473},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2022.3224302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3224302","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4330972969","display_name":null,"funder_award_id":"62176180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W331019419","https://openalex.org/W630532510","https://openalex.org/W650948056","https://openalex.org/W2041532239","https://openalex.org/W2111316763","https://openalex.org/W2113691817","https://openalex.org/W2114609248","https://openalex.org/W2132984949","https://openalex.org/W2138382875","https://openalex.org/W2145837098","https://openalex.org/W2148330858","https://openalex.org/W2148708890","https://openalex.org/W2151834591","https://openalex.org/W2152691628","https://openalex.org/W2156985047","https://openalex.org/W2250407797","https://openalex.org/W2250737685","https://openalex.org/W2250741688","https://openalex.org/W2258701653","https://openalex.org/W2296073425","https://openalex.org/W2494423583","https://openalex.org/W2552110825","https://openalex.org/W2579343286","https://openalex.org/W2804664105","https://openalex.org/W2888456631","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2915128308","https://openalex.org/W2922197727","https://openalex.org/W2923622379","https://openalex.org/W2946379889","https://openalex.org/W2949759300","https://openalex.org/W2952768586","https://openalex.org/W2963768241","https://openalex.org/W2963962154","https://openalex.org/W2964084097","https://openalex.org/W2964303773","https://openalex.org/W2971133142","https://openalex.org/W2971350966","https://openalex.org/W2976223659","https://openalex.org/W2985406498","https://openalex.org/W2988692181","https://openalex.org/W2994806031","https://openalex.org/W3018647120","https://openalex.org/W3021534198","https://openalex.org/W3034623328","https://openalex.org/W3035003500","https://openalex.org/W3035390927","https://openalex.org/W3049253296","https://openalex.org/W3101799152","https://openalex.org/W3104055036","https://openalex.org/W3118855211","https://openalex.org/W3134748702","https://openalex.org/W3135958177","https://openalex.org/W3142849873","https://openalex.org/W3152709531","https://openalex.org/W3155103776","https://openalex.org/W3157546558","https://openalex.org/W3158845149","https://openalex.org/W3165404421","https://openalex.org/W3171922974","https://openalex.org/W3193344850","https://openalex.org/W3205949070","https://openalex.org/W3205962459","https://openalex.org/W3210218433","https://openalex.org/W3213043232","https://openalex.org/W3213511181","https://openalex.org/W6600880057","https://openalex.org/W6611342419","https://openalex.org/W6679390333","https://openalex.org/W6681579320","https://openalex.org/W6682026795","https://openalex.org/W6682438829","https://openalex.org/W6691427479","https://openalex.org/W6729856301","https://openalex.org/W6732580787","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6759579507","https://openalex.org/W6768222176","https://openalex.org/W6775935039","https://openalex.org/W6779101013","https://openalex.org/W6785697974","https://openalex.org/W6791252336","https://openalex.org/W6792244340","https://openalex.org/W6794767809","https://openalex.org/W6797266314","https://openalex.org/W6800073990","https://openalex.org/W6802744804","https://openalex.org/W7051469422"],"related_works":["https://openalex.org/W2251868338","https://openalex.org/W2251128110","https://openalex.org/W2165926940","https://openalex.org/W1987996389","https://openalex.org/W2083217544","https://openalex.org/W2250777832","https://openalex.org/W2282726915","https://openalex.org/W331019419","https://openalex.org/W2364887276","https://openalex.org/W2251160863"],"abstract_inverted_index":{"Unsupervised":[0],"cross-lingual":[1,158],"transfer":[2],"has":[3,26],"been":[4],"shown":[5],"great":[6],"potentials":[7],"for":[8,132,174],"dependency":[9,73,159],"parsing":[10],"of":[11,31,71,148],"the":[12,23,43,54,68,89,115,130,169],"low-resource":[13,94],"languages":[14],"when":[15],"there":[16],"is":[17,76],"no":[18],"annotated":[19],"treebank":[20],"available.":[21],"Recently,":[22],"self-training":[24,55,143],"method":[25,44],"received":[27],"increasing":[28],"interests":[29],"because":[30],"its":[32],"state-of-the-art":[33,154],"performance":[34],"in":[35,56,172],"this":[36,39],"scenario.":[37],"In":[38],"work,":[40],"we":[41,61,91,121],"advance":[42],"further":[45],"by":[46,101],"coupling":[47],"it":[48],"with":[49],"curriculum":[50],"learning,":[51],"which":[52,75],"guides":[53],"an":[57,123],"easy-to-hard":[58],"manner.":[59],"Concretely,":[60],"present":[62],"a":[63,72,80,83,93,146],"novel":[64],"metric":[65],"to":[66,128,152,167],"measure":[67],"instance":[69],"difficulty":[70],"parser":[74],"trained":[77],"mainly":[78],"on":[79,109,156],"Treebank":[81],"from":[82,119],"resource-rich":[84],"source":[85],"language.":[86],"By":[87],"using":[88],"metric,":[90],"divide":[92],"target":[95],"language":[96],"into":[97],"several":[98],"fine-grained":[99],"sub-languages":[100,131],"their":[102],"difficulties,":[103],"and":[104],"then":[105],"apply":[106],"iterative-self-training":[107],"progressively":[108],"these":[110],"sub-languages.":[111],"To":[112],"fully":[113],"explore":[114],"auto-parsed":[116],"training":[117],"corpus":[118],"sub-languages,":[120],"exploit":[122],"improved":[124],"parameter":[125],"generation":[126],"network":[127],"model":[129],"better":[133],"representation":[134],"learning.":[135],"Experimental":[136],"results":[137,155],"show":[138],"that":[139],"our":[140],"final":[141],"curriculum-style":[142],"can":[144],"outperform":[145],"range":[147],"strong":[149],"baselines,":[150],"leading":[151],"new":[153],"unsupervised":[157],"parsing.":[160],"We":[161],"also":[162],"conduct":[163],"detailed":[164],"experimental":[165],"analyses":[166],"examine":[168],"proposed":[170],"approach":[171],"depth":[173],"comprehensive":[175],"understandings.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
