{"id":"https://openalex.org/W3081009083","doi":"https://doi.org/10.1109/taslp.2020.3018233","title":"A Novel Multi-Task Learning Framework for Semi-Supervised Semantic Parsing","display_name":"A Novel Multi-Task Learning Framework for Semi-Supervised Semantic Parsing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081009083","doi":"https://doi.org/10.1109/taslp.2020.3018233","mag":"3081009083"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2020.3018233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.3018233","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/A5100406584","display_name":"Qi Qi","orcid":"https://orcid.org/0000-0003-0829-4624"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Qi","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0829-4624","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444086","display_name":"Xiaolu Wang","orcid":"https://orcid.org/0000-0001-9806-8369"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolu Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9806-8369","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008194128","display_name":"Haifeng Sun","orcid":"https://orcid.org/0000-0003-3072-7422"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Sun","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3072-7422","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432460","display_name":"Jingyu Wang","orcid":"https://orcid.org/0000-0002-2182-2228"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2182-2228","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054133381","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0002-1564-2466"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Liang","raw_affiliation_strings":["Autohome Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autohome Inc., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055685073","display_name":"Jianxin Liao","orcid":"https://orcid.org/0000-0003-1486-0573"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Liao","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6519,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76128138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":null,"first_page":"2552","last_page":"2560"},"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9865000247955322,"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":0.8490133285522461},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7291351556777954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7101531028747559},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.69980788230896},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6624683737754822},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.656002402305603},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.5461739301681519},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.539998471736908},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5107681751251221},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47733739018440247},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4422111511230469},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12315496802330017},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.0762028694152832}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8490133285522461},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7291351556777954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7101531028747559},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.69980788230896},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6624683737754822},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.656002402305603},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.5461739301681519},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.539998471736908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5107681751251221},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47733739018440247},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4422111511230469},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12315496802330017},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0762028694152832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2020.3018233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.3018233","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":0.5799999833106995,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G158050311","display_name":"\u9762\u5411\u8f6f\u4ef6\u5b9a\u4e49\u6570\u636e\u4e2d\u5fc3\u7684\u591a\u8def\u5f84\u4f20\u8f93\u673a\u5236\u53ca\u8054\u5408\u4f18\u5316\u7406\u8bba\u7814\u7a76","funder_award_id":"61671079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1996188983","display_name":null,"funder_award_id":"2013CB329102","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2016136300","display_name":null,"funder_award_id":"2018RC20","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4669535195","display_name":"\u591a\u7528\u6237\u534f\u4f5c\u79fb\u52a8\u4e1a\u52a1\u4e91\u7684\u6784\u5efa\u4e0e\u8d44\u6e90\u4f18\u5316\u6280\u672f\u7814\u7a76","funder_award_id":"61471063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5092157715","display_name":"\u57fa\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u8f6f\u4ef6\u5b9a\u4e49\u7f51\u7edc\u6d41\u91cf\u8bc6\u522b\u4e0e\u8d44\u6e90\u5206\u914d\u7814\u7a76","funder_award_id":"61771068","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W62369917","https://openalex.org/W1496189301","https://openalex.org/W1902237438","https://openalex.org/W2023996190","https://openalex.org/W2036001619","https://openalex.org/W2064675550","https://openalex.org/W2077302143","https://openalex.org/W2097647324","https://openalex.org/W2102450109","https://openalex.org/W2108418355","https://openalex.org/W2111742432","https://openalex.org/W2130942839","https://openalex.org/W2149141985","https://openalex.org/W2161002933","https://openalex.org/W2163234897","https://openalex.org/W2163274265","https://openalex.org/W2170973209","https://openalex.org/W2527090203","https://openalex.org/W2530816535","https://openalex.org/W2561274697","https://openalex.org/W2587586352","https://openalex.org/W2592691248","https://openalex.org/W2739503347","https://openalex.org/W2742079690","https://openalex.org/W2788283425","https://openalex.org/W2870207365","https://openalex.org/W2886540570","https://openalex.org/W2891602716","https://openalex.org/W2897767292","https://openalex.org/W2944982877","https://openalex.org/W2950319341","https://openalex.org/W2951970475","https://openalex.org/W2952621248","https://openalex.org/W2952729433","https://openalex.org/W2953070460","https://openalex.org/W2962728167","https://openalex.org/W2963106169","https://openalex.org/W2963196011","https://openalex.org/W2963275829","https://openalex.org/W2963357083","https://openalex.org/W2963357517","https://openalex.org/W2963364848","https://openalex.org/W2963586307","https://openalex.org/W2963645026","https://openalex.org/W2963655793","https://openalex.org/W2963706742","https://openalex.org/W2963794306","https://openalex.org/W2964116568","https://openalex.org/W2964252535","https://openalex.org/W3104040280","https://openalex.org/W3159064672","https://openalex.org/W6629631241","https://openalex.org/W6674709584","https://openalex.org/W6675473027","https://openalex.org/W6676848125","https://openalex.org/W6679436768","https://openalex.org/W6684031499","https://openalex.org/W6685158001","https://openalex.org/W6733814495","https://openalex.org/W6739323713","https://openalex.org/W6742058293","https://openalex.org/W6748762347","https://openalex.org/W6753229620","https://openalex.org/W6753674403","https://openalex.org/W6764051988"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W2060535757","https://openalex.org/W4381248170"],"abstract_inverted_index":{"While":[0],"sequence-to-sequence":[1],"(seq2seq)":[2],"models":[3],"on":[4,34],"semantic":[5,39,45],"parsing":[6,46],"have":[7],"demonstrated":[8],"significant":[9],"performance,":[10],"the":[11,21,74,99,112],"need":[12],"for":[13],"large":[14],"amounts":[15],"of":[16,23,76,101],"labeled":[17],"data":[18,36,96],"still":[19],"hinders":[20],"application":[22],"this":[24,30],"technology":[25],"to":[26,72,89,97],"resource-poor":[27],"domains.":[28],"In":[29],"work,":[31],"we":[32],"work":[33],"alleviating":[35],"scarcity":[37],"in":[38,53,81],"parsing.":[40],"We":[41],"propose":[42],"a":[43,54],"semi-supervised":[44],"methods":[47,109],"by":[48],"exploiting":[49],"unlabeled":[50],"natural":[51],"utterances":[52],"novel":[55],"multi-task":[56],"learning":[57],"framework.":[58],"Two":[59],"strategies":[60],"are":[61],"proposed.":[62],"The":[63,83],"first":[64],"one":[65,85],"takes":[66],"entity":[67],"sequences":[68],"as":[69],"training":[70],"targets":[71],"improve":[73,98],"representations":[75],"encoder":[77],"and":[78,92,115],"reduce":[79],"entity-mistakes":[80],"prediction.":[82],"second":[84],"extends":[86],"Mean":[87],"Teacher":[88],"seq2seq":[90],"model":[91],"generates":[93],"more":[94,117],"target-side":[95],"generalizability":[100],"decoder":[102],"network.":[103],"Experiments":[104],"demonstrate":[105],"that":[106],"our":[107],"proposed":[108],"significantly":[110],"outperform":[111],"supervised":[113],"baseline":[114],"achieve":[116],"impressive":[118],"improvement":[119],"than":[120],"previous":[121],"methods.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
