{"id":"https://openalex.org/W2949720445","doi":"https://doi.org/10.18653/v1/p19-1440","title":"Complex Question Decomposition for Semantic Parsing","display_name":"Complex Question Decomposition for Semantic Parsing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949720445","doi":"https://doi.org/10.18653/v1/p19-1440","mag":"2949720445"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1440","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1440","pdf_url":"https://www.aclweb.org/anthology/P19-1440.pdf","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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1440.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100425887","display_name":"Haoyu Zhang","orcid":"https://orcid.org/0000-0002-3896-170X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyu Zhang","raw_affiliation_strings":["HPCL, College of Computer, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"HPCL, College of Computer, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076183025","display_name":"Jingjing Cai","orcid":"https://orcid.org/0000-0002-4877-8087"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingjing Cai","raw_affiliation_strings":["Meituan-Dianping Group, China"],"affiliations":[{"raw_affiliation_string":"Meituan-Dianping Group, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023948588","display_name":"Jianjun Xu","orcid":"https://orcid.org/0000-0001-7668-0522"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Xu","raw_affiliation_strings":["HPCL, College of Computer, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"HPCL, College of Computer, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046184004","display_name":"Ji Wang","orcid":"https://orcid.org/0000-0002-4199-2793"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Wang","raw_affiliation_strings":["HPCL, College of Computer, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"HPCL, College of Computer, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100425887"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":3.6127,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.9439672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4477","last_page":"4486"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.85809326171875},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8360681533813477},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6334317326545715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114648580551147},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.5646668076515198},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.4527450501918793},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.43378281593322754},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.4118376672267914},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.26491159200668335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.85809326171875},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8360681533813477},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6334317326545715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114648580551147},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.5646668076515198},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.4527450501918793},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.43378281593322754},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.4118376672267914},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.26491159200668335}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1440","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1440","pdf_url":"https://www.aclweb.org/anthology/P19-1440.pdf","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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1440","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1440","pdf_url":"https://www.aclweb.org/anthology/P19-1440.pdf","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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"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/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/G3294234326","display_name":null,"funder_award_id":"2018YFB1004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4947720753","display_name":null,"funder_award_id":"61690203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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/G8901340350","display_name":null,"funder_award_id":"2018YFB1004502","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949720445.pdf","grobid_xml":"https://content.openalex.org/works/W2949720445.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1496189301","https://openalex.org/W2095705004","https://openalex.org/W2101105183","https://openalex.org/W2123442489","https://openalex.org/W2126170172","https://openalex.org/W2151447942","https://openalex.org/W2154652894","https://openalex.org/W2161002933","https://openalex.org/W2162526436","https://openalex.org/W2163561827","https://openalex.org/W2183341477","https://openalex.org/W2227250678","https://openalex.org/W2250533497","https://openalex.org/W2250539671","https://openalex.org/W2251079237","https://openalex.org/W2251673953","https://openalex.org/W2251824305","https://openalex.org/W2252136820","https://openalex.org/W2507756961","https://openalex.org/W2511108736","https://openalex.org/W2553108800","https://openalex.org/W2606974598","https://openalex.org/W2768409085","https://openalex.org/W2884709258","https://openalex.org/W2889646190","https://openalex.org/W2951790836","https://openalex.org/W2963357517","https://openalex.org/W2963403868","https://openalex.org/W2963586307","https://openalex.org/W2963617989","https://openalex.org/W2963655793","https://openalex.org/W2963675284","https://openalex.org/W2963794306","https://openalex.org/W2964120615","https://openalex.org/W2964165364","https://openalex.org/W2964252535","https://openalex.org/W3088871974","https://openalex.org/W3104040280","https://openalex.org/W4236265809","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3088470625","https://openalex.org/W3143982968","https://openalex.org/W2792937288","https://openalex.org/W3035970863","https://openalex.org/W2619584063","https://openalex.org/W4320024782","https://openalex.org/W2389755172","https://openalex.org/W2952780262","https://openalex.org/W2804916787","https://openalex.org/W2970260326"],"abstract_inverted_index":{"In":[0,44,63,82],"this":[1],"work,":[2],"we":[3,48,67,86],"focus":[4],"on":[5,39,106],"complex":[6,24,56,101,113],"question":[7,51,57,114],"semantic":[8,27,115],"parsing":[9,36,116],"and":[10,76,94],"propose":[11,49],"a":[12,34,50,55,59,96,110],"novel":[13],"Hierarchical":[14],"Semantic":[15],"Parsing":[16],"(HSP)":[17],"method,":[18],"which":[19,53,108],"utilizes":[20],"the":[21,40,45,64,74,83,88,100],"decompositionality":[22],"of":[23,42,61,79],"questions":[25],"for":[26,99],"parsing.":[28],"Our":[29],"model":[30,122],"is":[31,109],"designed":[32],"within":[33],"three-stage":[35],"architecture":[37],"based":[38],"idea":[41],"decompositionintegration.":[43],"first":[46],"stage,":[47,66,85],"decomposer":[52],"decomposes":[54],"into":[58],"sequence":[60],"subquestions.":[62],"second":[65],"design":[68],"an":[69],"information":[70,78,90],"extractor":[71],"to":[72,127],"derive":[73],"type":[75],"predicate":[77],"these":[80],"questions.":[81],"last":[84],"integrate":[87],"generated":[89],"from":[91],"previous":[92],"stages":[93],"generate":[95],"logical":[97],"form":[98],"question.":[102],"We":[103],"conduct":[104],"experiments":[105],"COMPLEXWE-BQUESTIONS":[107],"large":[111],"scale":[112],"dataset,":[117],"results":[118],"show":[119],"that":[120],"our":[121],"achieves":[123],"significant":[124],"improvement":[125],"compared":[126],"state-of-the-art":[128],"methods.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
