{"id":"https://openalex.org/W2963372003","doi":"https://doi.org/10.18653/v1/p16-1138","title":"Simpler Context-Dependent Logical Forms via Model Projections","display_name":"Simpler Context-Dependent Logical Forms via Model Projections","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2963372003","doi":"https://doi.org/10.18653/v1/p16-1138","mag":"2963372003"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-1138","doi":"https://doi.org/10.18653/v1/p16-1138","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1138","pdf_url":"https://aclanthology.org/P16-1138.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/P16-1138.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061644214","display_name":"Reginald Long","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reginald Long","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035867340","display_name":"Panupong Pasupat","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panupong Pasupat","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025255782","display_name":"Percy Liang","orcid":"https://orcid.org/0000-0002-0458-6139","observed_orcids":["https://orcid.org/0000-0002-0458-6139"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Percy Liang","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":7.5433,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.98165677,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1456","last_page":"1465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8726000189781189,"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":0.8726000189781189,"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":0.039000000804662704,"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":0.02930000051856041,"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/logical-form","display_name":"logical form","score":0.9020000100135803},{"id":"https://openalex.org/keywords/model-projection","display_name":"model projection","score":0.8019999861717224},{"id":"https://openalex.org/keywords/equivalence-classes","display_name":"equivalence classes","score":0.6819999814033508},{"id":"https://openalex.org/keywords/bootstrap-method","display_name":"bootstrapping","score":0.6669999957084656},{"id":"https://openalex.org/keywords/combinatorial-search","display_name":"combinatorial search","score":0.6430000066757202}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7643172740936279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347917556762695},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.6640611290931702},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6617496013641357},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6384146809577942},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.6004167199134827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5790979862213135},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5309633016586304},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.49250730872154236},{"id":"https://openalex.org/C203702819","wikidata":"https://www.wikidata.org/wiki/Q17146953","display_name":"Logical data model","level":3,"score":0.4435702860355377},{"id":"https://openalex.org/C2778790839","wikidata":"https://www.wikidata.org/wiki/Q6667497","display_name":"Logical form","level":2,"score":0.4301784634590149},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4222884774208069},{"id":"https://openalex.org/C35164859","wikidata":"https://www.wikidata.org/wiki/Q1756442","display_name":"LR parser","level":4,"score":0.41761890053749084},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3802441656589508},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.20227280259132385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12143400311470032},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.1185770034790039},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09620919823646545},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/p16-1138","doi":"https://doi.org/10.18653/v1/p16-1138","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1138","pdf_url":"https://aclanthology.org/P16-1138.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1606.05378","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1606.05378","pdf_url":"https://arxiv.org/pdf/1606.05378","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1606.05378","doi":"https://doi.org/10.48550/arxiv.1606.05378","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1606.05378","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/p16-1138","doi":"https://doi.org/10.18653/v1/p16-1138","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1138","pdf_url":"https://aclanthology.org/P16-1138.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963372003.pdf","grobid_xml":"https://content.openalex.org/works/W2963372003.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1496189301","https://openalex.org/W1525961042","https://openalex.org/W1539162551","https://openalex.org/W1559723967","https://openalex.org/W1894439495","https://openalex.org/W2047237057","https://openalex.org/W2111742432","https://openalex.org/W2116716943","https://openalex.org/W2118781169","https://openalex.org/W2121465811","https://openalex.org/W2142898321","https://openalex.org/W2156985047","https://openalex.org/W2160581145","https://openalex.org/W2163234897","https://openalex.org/W2163274265","https://openalex.org/W2163561827","https://openalex.org/W2174945390","https://openalex.org/W2181831842","https://openalex.org/W2189089430","https://openalex.org/W2227250678","https://openalex.org/W2251623545","https://openalex.org/W2251957808","https://openalex.org/W2252136820","https://openalex.org/W2282031862","https://openalex.org/W2405601855","https://openalex.org/W2963380480","https://openalex.org/W2963792706","https://openalex.org/W2963899988","https://openalex.org/W2963929497"],"related_works":["https://openalex.org/W2142898321","https://openalex.org/W7095150811","https://openalex.org/W2520443406","https://openalex.org/W3115585256","https://openalex.org/W2963822436","https://openalex.org/W3034196295","https://openalex.org/W2796979813","https://openalex.org/W7100326810","https://openalex.org/W7100903983","https://openalex.org/W4401042845"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,45,81],"task":[3],"of":[4,26,44,56,125],"learning":[5],"a":[6,22,94],"contextdependent":[7,88],"mapping":[8],"from":[9],"utterances":[10],"to":[11,79,136],"denotations.With":[12],"only":[13],"denotations":[14],"at":[15],"training":[16],"time,":[17],"we":[18,40,61,84],"must":[19],"search":[20],"over":[21,53],"combinatorially":[23],"large":[24],"space":[25],"logical":[27,57],"forms,":[28],"which":[29],"is":[30,106],"even":[31],"larger":[32],"with":[33,37,116],"context-dependent":[34],"utterances.To":[35],"cope":[36],"this":[38],"challenge,":[39],"perform":[41],"successive":[42],"projections":[43],"full":[46,82],"model":[47],"onto":[48],"simpler":[49,65],"models":[50,66],"that":[51,63],"operate":[52],"equivalence":[54],"classes":[55],"forms.Though":[58],"less":[59],"expressive,":[60],"find":[62],"these":[64],"are":[67],"much":[68],"faster":[69],"and":[70,92],"can":[71,76],"be":[72,77],"surprisingly":[73],"effective.Moreover,":[74],"they":[75],"used":[78],"bootstrap":[80],"model.Finally,":[83],"collected":[85],"three":[86],"new":[87,95],"semantic":[89],"parsing":[90],"datasets,":[91],"develop":[93],"left-to-right":[96],"parser.Property[p]":[97],"Value[v]":[98],"\u21d2":[99,110,121,130],"Set[p(v)]":[100],"all":[101],"entities":[102],"whose":[103],"property":[104],"p":[105,118],"v":[107],"Set[s]":[108,119],"Property[p]":[109],"Value[argmin/argmax(s,":[111],"p)]":[112],"element":[113,124],"in":[114],"s":[115,126],"smallest/largest":[117],"Int[i]":[120],"Value[s[i]]":[122],"i-th":[123],"Action[a]":[127],"Value[v1]":[128],"Value[v2]":[129],"Root[a(v1,":[131],"v2)]":[132],"top-level":[133],"action":[134],"applied":[135],"arguments":[137],"v1,":[138],"v2":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2019-07-30T00:00:00"}