{"id":"https://openalex.org/W2949215742","doi":"https://doi.org/10.18653/v1/p19-1447","title":"Reranking for Neural Semantic Parsing","display_name":"Reranking for Neural Semantic Parsing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949215742","doi":"https://doi.org/10.18653/v1/p19-1447","mag":"2949215742"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1447","pdf_url":"https://www.aclweb.org/anthology/P19-1447.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/P19-1447.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078519761","display_name":"Pengcheng Yin","orcid":"https://orcid.org/0000-0003-2739-1032"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pengcheng Yin","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068811427","display_name":"Graham Neubig","orcid":"https://orcid.org/0000-0002-2072-3789"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Graham Neubig","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078519761"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":6.2138,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97051228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4553","last_page":"4559"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9936000108718872,"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":0.8896953463554382},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8086243867874146},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7147651314735413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.696627676486969},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.624234676361084},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.596448540687561},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.519538938999176},{"id":"https://openalex.org/keywords/parser-combinator","display_name":"Parser combinator","score":0.46676063537597656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43515127897262573},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3974630534648895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8896953463554382},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8086243867874146},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7147651314735413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.696627676486969},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.624234676361084},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.596448540687561},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.519538938999176},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.46676063537597656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43515127897262573},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3974630534648895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1447","pdf_url":"https://www.aclweb.org/anthology/P19-1447.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/p19-1447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1447","pdf_url":"https://www.aclweb.org/anthology/P19-1447.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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1197061222","display_name":"SHF: Small: Open-domain, Data-driven Code Synthesis from Natural Language","funder_award_id":"1815287","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949215742.pdf","grobid_xml":"https://content.openalex.org/works/W2949215742.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W2025768430","https://openalex.org/W2103457851","https://openalex.org/W2115176538","https://openalex.org/W2121127625","https://openalex.org/W2137143056","https://openalex.org/W2154124206","https://openalex.org/W2163274265","https://openalex.org/W2242083635","https://openalex.org/W2250548645","https://openalex.org/W2413794162","https://openalex.org/W2511108736","https://openalex.org/W2546950329","https://openalex.org/W2605887895","https://openalex.org/W2740997005","https://openalex.org/W2751448157","https://openalex.org/W2757361303","https://openalex.org/W2890867094","https://openalex.org/W2896392119","https://openalex.org/W2897767292","https://openalex.org/W2962728167","https://openalex.org/W2962843106","https://openalex.org/W2962846267","https://openalex.org/W2962936887","https://openalex.org/W2963357517","https://openalex.org/W2963617989","https://openalex.org/W2963655793","https://openalex.org/W2963794306","https://openalex.org/W2963868320","https://openalex.org/W2964165364","https://openalex.org/W2964199361","https://openalex.org/W2964315653","https://openalex.org/W2964325845","https://openalex.org/W3021452258","https://openalex.org/W4236265809"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W2792937288","https://openalex.org/W2804916787","https://openalex.org/W2389755172","https://openalex.org/W1574037173","https://openalex.org/W2529664582","https://openalex.org/W1929722976","https://openalex.org/W2159707670","https://openalex.org/W4320024782","https://openalex.org/W2108317091"],"abstract_inverted_index":{"Semantic":[0],"parsing":[1,109],"considers":[2],"the":[3,52,66,120,138],"task":[4],"of":[5,47,51,68,79],"transducing":[6],"natural":[7],"language":[8],"(NL)":[9],"utterances":[10],"into":[11],"machine":[12],"executable":[13],"meaning":[14],"representations":[15],"(MRs).":[16],"While":[17],"neural":[18,71,101,141],"network-based":[19],"semantic":[20,72,102,108],"parsers":[21],"have":[22],"achieved":[23],"impressive":[24],"improvements":[25],"over":[26],"previous":[27],"methods,":[28],"results":[29,143],"are":[30,85],"still":[31],"far":[32],"from":[33],"perfect,":[34],"and":[35,64,104,112,132],"cursory":[36],"manual":[37],"inspection":[38],"can":[39],"easily":[40],"identify":[41],"obvious":[42],"problems":[43,90],"such":[44],"as":[45],"lack":[46],"adequacy":[48],"or":[49],"coherence":[50],"generated":[53],"MRs.":[54],"This":[55],"paper":[56],"presents":[57],"a":[58,99],"simple":[59],"approach":[60],"to":[61,87,126],"quickly":[62],"iterate":[63],"improve":[65],"performance":[67],"an":[69,76],"existing":[70],"parser":[73,103,123,142],"by":[74,124],"reranking":[75],"n-best":[77],"list":[78],"predicted":[80],"MRs,":[81],"using":[82],"features":[83],"that":[84],"designed":[86],"fix":[88],"observed":[89],"with":[91],"baseline":[92,122],"models.":[93],"We":[94],"implement":[95],"our":[96],"reranker":[97],"in":[98,129,134],"competitive":[100],"test":[105],"on":[106,144],"four":[107,146],"(GEO,":[110],"ATIS)":[111],"Python":[113],"code":[114],"generation":[115],"(DJANGO,":[116],"CONALA)":[117],"tasks,":[118],"improving":[119],"strong":[121],"up":[125],"5.7%":[127],"absolute":[128],"BLEU":[130],"(CONALA)":[131],"2.9%":[133],"accuracy":[135],"(DJANGO),":[136],"outperforming":[137],"best":[139],"published":[140],"all":[145],"datasets.":[147],"1":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
