{"id":"https://openalex.org/W2287484627","doi":"https://doi.org/10.21437/interspeech.2014-562","title":"Grounding language models in spatiotemporal context","display_name":"Grounding language models in spatiotemporal context","publication_year":2014,"publication_date":"2014-09-14","ids":{"openalex":"https://openalex.org/W2287484627","doi":"https://doi.org/10.21437/interspeech.2014-562","mag":"2287484627"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2014-562","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/91490","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040787249","display_name":"Brandon Roy","orcid":"https://orcid.org/0009-0002-6739-203X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon C. Roy","raw_affiliation_strings":["Massachusetts Institute Of Technology#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035399743","display_name":"Soroush Vosoughi","orcid":"https://orcid.org/0000-0002-2564-8909"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soroush Vosoughi","raw_affiliation_strings":["Massachusetts Institute Of Technology#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004281470","display_name":"Deb Roy","orcid":"https://orcid.org/0000-0002-2780-4768"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deb Roy","raw_affiliation_strings":["Massachusetts Institute Of Technology#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2625","last_page":"2629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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":0.9976999759674072,"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/bigram","display_name":"Bigram","score":0.8799386620521545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.793614387512207},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6658195853233337},{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.6311694383621216},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6174826622009277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5705904960632324},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5641364455223083},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5050299763679504},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4343382716178894},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.4175678789615631},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2549820840358734},{"id":"https://openalex.org/keywords/trigram","display_name":"Trigram","score":0.17867916822433472}],"concepts":[{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.8799386620521545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793614387512207},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6658195853233337},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.6311694383621216},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6174826622009277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705904960632324},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5641364455223083},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5050299763679504},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4343382716178894},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.4175678789615631},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2549820840358734},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.17867916822433472},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2014-562","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/91490","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/91490","pdf_url":"http://hdl.handle.net/1721.1/91490","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vosoughi","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"mag:2287484627","is_oa":false,"landing_page_url":"http://alumni.media.mit.edu/~bcroy/papers/RVR_interspeech2014.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/91490","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/91490","pdf_url":"http://hdl.handle.net/1721.1/91490","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vosoughi","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2287484627.pdf","grobid_xml":"https://content.openalex.org/works/W2287484627.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1521626219","https://openalex.org/W1573451756","https://openalex.org/W1574901103","https://openalex.org/W1579838312","https://openalex.org/W1586578069","https://openalex.org/W1594031697","https://openalex.org/W1796449931","https://openalex.org/W1994851566","https://openalex.org/W1996903695","https://openalex.org/W2045633041","https://openalex.org/W2056250865","https://openalex.org/W2099111195","https://openalex.org/W2101234009","https://openalex.org/W2129381838","https://openalex.org/W2134237567","https://openalex.org/W2137066512","https://openalex.org/W2158195707","https://openalex.org/W2213856416","https://openalex.org/W2333790164","https://openalex.org/W2474463024","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W2485948626","https://openalex.org/W3098566014","https://openalex.org/W2197913429","https://openalex.org/W1521626219","https://openalex.org/W2105372662","https://openalex.org/W3031473178","https://openalex.org/W2599022452","https://openalex.org/W2741642835","https://openalex.org/W2996556565","https://openalex.org/W3165244476","https://openalex.org/W3099814951","https://openalex.org/W2133176958","https://openalex.org/W3205874557","https://openalex.org/W2944617758","https://openalex.org/W2148885979","https://openalex.org/W1554180972","https://openalex.org/W3023706255","https://openalex.org/W3127749396","https://openalex.org/W3034602344","https://openalex.org/W3105478763"],"abstract_inverted_index":{"Natural":[0],"language":[1,31,58,67,116],"is":[2,59,69,196],"rich":[3],"and":[4,55,62,71,76,99,108,125,150,159],"varied,":[5],"but":[6,21],"also":[7,89],"highly":[8],"structured.":[9],"The":[10,175],"rules":[11],"of":[12,18,30,45,53,65,85,106,115,123,178,188],"grammar":[13,54],"are":[14,23,145],"a":[15,82,113,119,131,172,185],"primary":[16],"source":[17],"linguistic":[19,38],"regularity,":[20],"there":[22],"many":[24],"other":[25,97],"factors":[26],"that":[27,68,144,156],"govern":[28],"patterns":[29],"use.":[32],"Language":[33],"models":[34,117],"attempt":[35],"to":[36,81],"capture":[37],"regularities,":[39],"typically":[40],"by":[41,139,167],"modeling":[42],"the":[43,104],"statistics":[44],"word":[46,142,160],"use,":[47],"thereby":[48],"folding":[49],"in":[50,171,184,190],"some":[51],"aspects":[52],"style.":[56],"Spoken":[57],"an":[60],"important":[61],"interesting":[63],"subset":[64],"natural":[66],"temporally":[70,126],"spatially":[72,124],"grounded.":[73],"While":[74],"time":[75],"space":[77],"may":[78,88],"directly":[79],"contribute":[80],"speaker\u2019s":[83],"choice":[84],"words,":[86],"they":[87],"serve":[90],"as":[91],"indicators":[92],"for":[93],"communicative":[94],"intent":[95],"or":[96,193],"contextual":[98],"situational":[100],"factors.":[101],"To":[102],"investigate":[103],"value":[105],"spatial":[107,194],"temporal":[109,192],"information,":[110],"we":[111],"build":[112],"series":[114],"using":[118],"large,":[120],"naturalistic":[121],"corpus":[122],"coded":[127],"speech":[128],"collected":[129],"from":[130],"home":[132],"environment.":[133],"We":[134],"incorporate":[135],"this":[136,169,179],"extralinguistic":[137],"information":[138,170,195],"building":[140],"spatiotemporal":[141],"classifiers":[143],"mixed":[146],"with":[147],"traditional":[148],"unigram":[149],"bigram":[151],"models.":[152],"Our":[153],"evaluation":[154],"shows":[155],"both":[157],"perplexity":[158],"error":[161],"rate":[162],"can":[163],"be":[164,182],"significantly":[165],"improved":[166],"incorporating":[168],"simple":[173],"framework.":[174],"underlying":[176],"principles":[177],"work":[180],"could":[181],"applied":[183],"wide":[186],"range":[187],"scenarios":[189],"which":[191],"available.":[197]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
