{"id":"https://openalex.org/W3179135552","doi":"https://doi.org/10.24963/ijcai.2021/532","title":"Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing","display_name":"Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3179135552","doi":"https://doi.org/10.24963/ijcai.2021/532","mag":"3179135552"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/532","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/532","pdf_url":"https://www.ijcai.org/proceedings/2021/0532.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0532.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100616043","display_name":"Yuntao Li","orcid":"https://orcid.org/0000-0001-8788-7537"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuntao Li","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760119","display_name":"Bei Chen","orcid":"https://orcid.org/0000-0003-4542-5291"},"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":"Bei Chen","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/A5070316319","display_name":"Qian Liu","orcid":"https://orcid.org/0000-0002-2469-4225"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Liu","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086261973","display_name":"Yan Gao","orcid":"https://orcid.org/0000-0002-8426-6724"},"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":"Yan Gao","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/A5025118710","display_name":"Jian\u2013Guang Lou","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":"Jian-Guang Lou","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/A5108557243","display_name":"Yan Zhang","orcid":"https://orcid.org/0009-0008-0499-9436"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331488","display_name":"Dongmei Zhang","orcid":"https://orcid.org/0000-0002-9230-2799"},"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":"Dongmei Zhang","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":7,"corresponding_author_ids":["https://openalex.org/A5100616043"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.56,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73084641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3864","last_page":"3870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/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/T12031","display_name":"Speech and dialogue systems","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8585790395736694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8469600677490234},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.731335461139679},{"id":"https://openalex.org/keywords/logical-form","display_name":"Logical form","score":0.7066876292228699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653551459312439},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.616743803024292},{"id":"https://openalex.org/keywords/parser-combinator","display_name":"Parser combinator","score":0.5966344475746155},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4558587670326233},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.45579609274864197},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.44972750544548035},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.42266544699668884}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8585790395736694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8469600677490234},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.731335461139679},{"id":"https://openalex.org/C2778790839","wikidata":"https://www.wikidata.org/wiki/Q6667497","display_name":"Logical form","level":2,"score":0.7066876292228699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653551459312439},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.616743803024292},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.5966344475746155},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4558587670326233},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.45579609274864197},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.44972750544548035},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.42266544699668884}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/532","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/532","pdf_url":"https://www.ijcai.org/proceedings/2021/0532.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/532","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/532","pdf_url":"https://www.ijcai.org/proceedings/2021/0532.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4952333485","display_name":null,"funder_award_id":"Grant No. 61532001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6342793844","display_name":null,"funder_award_id":"61532001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7324266398","display_name":null,"funder_award_id":"2018AAA0101902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3179135552.pdf","grobid_xml":"https://content.openalex.org/works/W3179135552.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W62369917","https://openalex.org/W81000870","https://openalex.org/W1496189301","https://openalex.org/W2122922578","https://openalex.org/W2161002933","https://openalex.org/W2163274265","https://openalex.org/W2252136820","https://openalex.org/W2944898795","https://openalex.org/W2949720445","https://openalex.org/W2963357517","https://openalex.org/W2963403868","https://openalex.org/W2963411763","https://openalex.org/W2963655793","https://openalex.org/W2963675284","https://openalex.org/W2963794306","https://openalex.org/W2963899988","https://openalex.org/W2964078224","https://openalex.org/W2964120615","https://openalex.org/W2990379018","https://openalex.org/W2996132992","https://openalex.org/W3035331128","https://openalex.org/W3106356412","https://openalex.org/W3173888607","https://openalex.org/W4288331674","https://openalex.org/W4289373464","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W4291149798","https://openalex.org/W3088470625","https://openalex.org/W2389755172","https://openalex.org/W3035970863","https://openalex.org/W4320024782","https://openalex.org/W2164260211","https://openalex.org/W2281562628","https://openalex.org/W2619584063","https://openalex.org/W2124413205"],"abstract_inverted_index":{"Traditional":[0],"end-to-end":[1],"semantic":[2,65,136],"parsing":[3],"models":[4],"treat":[5],"a":[6,11,36,70,74],"natural":[7,19,45],"language":[8,46],"utterance":[9],"as":[10],"holonomic":[12],"structure.":[13],"However,":[14],"hierarchical":[15,26,55],"structures":[16,27,56],"exist":[17],"in":[18],"languages,":[20],"which":[21,42,98],"also":[22],"align":[23],"with":[24],"the":[25,91,104,128,133],"of":[28,69,121,135],"logical":[29,49,96,106,122],"forms.":[30,123],"In":[31],"this":[32],"paper,":[33],"we":[34],"propose":[35],"latent":[37],"shift-reduce":[38,75],"parser,":[39],"called":[40],"LASP,":[41],"decomposes":[43],"both":[44],"queries":[47],"and":[48,57,73,118],"form":[50],"expressions":[51],"according":[52],"to":[53,63,102],"their":[54],"finds":[58],"local":[59],"alignment":[60],"between":[61],"them":[62],"enhance":[64],"parsing.":[66],"LASP":[67],"consists":[68],"base":[71,88],"parser":[72,89],"splitter.":[76],"The":[77,87,124],"splitter":[78],"dynamically":[79],"separates":[80],"an":[81],"NL":[82],"query":[83],"into":[84,95],"several":[85],"spans.":[86],"converts":[90],"relevant":[92],"simple":[93],"spans":[94],"forms,":[97],"are":[99],"further":[100],"combined":[101],"obtain":[103],"final":[105],"form.":[107],"We":[108],"conducted":[109],"empirical":[110],"studies":[111],"on":[112,139],"two":[113],"datasets":[114],"across":[115],"different":[116,119],"domains":[117],"types":[120],"results":[125],"demonstrate":[126],"that":[127],"proposed":[129],"method":[130],"significantly":[131],"improves":[132],"performance":[134],"parsing,":[137],"especially":[138],"unseen":[140],"scenarios.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
