{"id":"https://openalex.org/W1976314928","doi":"https://doi.org/10.1109/devlrn.2013.6652560","title":"A generative probabilistic framework for learning spatial language","display_name":"A generative probabilistic framework for learning spatial language","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1976314928","doi":"https://doi.org/10.1109/devlrn.2013.6652560","mag":"1976314928"},"language":"en","primary_location":{"id":"doi:10.1109/devlrn.2013.6652560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2013.6652560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL)","raw_type":"proceedings-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/A5057174807","display_name":"Colin Dawson","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Colin R. Dawson","raw_affiliation_strings":["School of Information, The University of Arizona, Tucson, AZ","School of Information, University of Arizona, Tucson, AZ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"School of Information, University of Arizona, Tucson, AZ, USA#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044571524","display_name":"Jeremy Bryan Wright","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy Wright","raw_affiliation_strings":["School of Information, The University of Arizona, Tucson, AZ","School of Information, University of Arizona, Tucson, AZ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"School of Information, University of Arizona, Tucson, AZ, USA#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027192075","display_name":"Antons Rebguns","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antons Rebguns","raw_affiliation_strings":["School of Information, The University of Arizona, Tucson, AZ","School of Information, University of Arizona, Tucson, AZ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"School of Information, University of Arizona, Tucson, AZ, USA#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029811749","display_name":"Marco Valenzuela Escarcega","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Valenzuela Escarcega","raw_affiliation_strings":["School of Information, The University of Arizona, Tucson, AZ","School of Information, University of Arizona, Tucson, AZ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"School of Information, University of Arizona, Tucson, AZ, USA#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102739620","display_name":"Daniel Fried","orcid":"https://orcid.org/0000-0002-0454-9792"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Fried","raw_affiliation_strings":["School of Information, The University of Arizona, Tucson, AZ","School of Information, University of Arizona, Tucson, AZ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"School of Information, University of Arizona, Tucson, AZ, USA#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108230279","display_name":"Paul R. Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul R. Cohen","raw_affiliation_strings":["School of Information, The University of Arizona, Tucson, AZ","School of Information, University of Arizona, Tucson, AZ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"School of Information, University of Arizona, Tucson, AZ, USA#TAB#","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057174807"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":1.41457072,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86534131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9904000163078308,"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/T12031","display_name":"Speech and dialogue systems","score":0.9904000163078308,"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":0.9882000088691711,"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"}},{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7436646223068237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544278860092163},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6479334831237793},{"id":"https://openalex.org/keywords/referent","display_name":"Referent","score":0.6166761517524719},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5767037868499756},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5566975474357605},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5546090006828308},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5235875844955444},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.5227165818214417},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5060028433799744},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5006601810455322},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.473993182182312},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4334956705570221},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4153033494949341},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4112916588783264},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.30361950397491455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436646223068237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544278860092163},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6479334831237793},{"id":"https://openalex.org/C2777096784","wikidata":"https://www.wikidata.org/wiki/Q3826351","display_name":"Referent","level":2,"score":0.6166761517524719},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5767037868499756},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5566975474357605},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5546090006828308},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5235875844955444},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.5227165818214417},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5060028433799744},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5006601810455322},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.473993182182312},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4334956705570221},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4153033494949341},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4112916588783264},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.30361950397491455},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/devlrn.2013.6652560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2013.6652560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.800000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W10376690","https://openalex.org/W82533769","https://openalex.org/W266716723","https://openalex.org/W1519787928","https://openalex.org/W1535015163","https://openalex.org/W1593539964","https://openalex.org/W1923162067","https://openalex.org/W1949907236","https://openalex.org/W2027123861","https://openalex.org/W2043220715","https://openalex.org/W2060491487","https://openalex.org/W2080947873","https://openalex.org/W2089967673","https://openalex.org/W2111807093","https://openalex.org/W2162183011","https://openalex.org/W2163618895","https://openalex.org/W2314374995","https://openalex.org/W2485021703","https://openalex.org/W2492390975","https://openalex.org/W2495355420","https://openalex.org/W2949559657","https://openalex.org/W6600441966","https://openalex.org/W6632145054","https://openalex.org/W6723158049","https://openalex.org/W6723160604","https://openalex.org/W6794176667"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W2280377497","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W2967848559","https://openalex.org/W4283803360"],"abstract_inverted_index":{"The":[0,45],"language":[1],"of":[2,11,29,57,126,132],"space":[3],"and":[4,63,67,74,95,111,118],"spatial":[5,27,127],"relations":[6,60],"is":[7,48],"a":[8,17,32,87,96,130],"rich":[9],"source":[10],"abstract":[12],"semantic":[13,59],"structure.":[14],"We":[15,104],"develop":[16],"probabilistic":[18],"model":[19,107],"that":[20,25,39,52,68,120],"learns":[21],"to":[22,92,101],"understand":[23],"utterances":[24,73,128],"describe":[26],"configurations":[28],"objects":[30],"in":[31,65],"tabletop":[33],"scene":[34],"by":[35,50,108],"seeking":[36],"the":[37,42,82,106,124],"meaning":[38],"best":[40],"explains":[41],"sentence":[43],"chosen.":[44],"inference":[46,83],"problem":[47,84],"simplified":[49],"assuming":[51],"sentences":[53],"express":[54],"symbolic":[55,71],"representations":[56],"(latent)":[58],"between":[61],"referents":[62],"landmarks":[64],"space,":[66],"given":[69],"these":[70],"representations,":[72],"physical":[75,93],"locations":[76],"are":[77],"conditionally":[78],"independent.":[79],"As":[80],"such,":[81],"factors":[85],"into":[86],"symbol-grounding":[88],"component":[89,98],"(linking":[90,99],"propositions":[91,100],"locations)":[94],"symbol-translation":[97],"parse":[102],"trees).":[103],"evaluate":[105],"eliciting":[109],"production":[110],"comprehension":[112],"data":[113],"from":[114],"human":[115,135],"English":[116],"speakers":[117],"find":[119],"our":[121],"system":[122],"recovers":[123],"referent":[125],"at":[129],"level":[131],"proficiency":[133],"approaching":[134],"performance.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
