{"id":"https://openalex.org/W3008446396","doi":"https://doi.org/10.1080/23273798.2020.1733626","title":"Enough time to get results? An ERP investigation of prediction with complex events","display_name":"Enough time to get results? An ERP investigation of prediction with complex events","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3008446396","doi":"https://doi.org/10.1080/23273798.2020.1733626","mag":"3008446396"},"language":"en","primary_location":{"id":"doi:10.1080/23273798.2020.1733626","doi":"https://doi.org/10.1080/23273798.2020.1733626","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23273798.2020.1733626","pdf_url":null,"source":{"id":"https://openalex.org/S2765072596","display_name":"Language Cognition and Neuroscience","issn_l":"2327-3798","issn":["2327-3798","2327-3801"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language, Cognition and Neuroscience","raw_type":"journal-article"},"volume":null,"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/A5014576371","display_name":"Chia-Hsuan Liao","orcid":"https://orcid.org/0000-0003-1100-0738","observed_orcids":["https://orcid.org/0000-0003-1100-0738"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chia-Hsuan Liao","raw_affiliation_strings":["Department of Linguistics, University of Maryland College Park","Department of Linguistics, University of Maryland College Park, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, University of Maryland College Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Linguistics, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052709516","display_name":"Ellen F. Lau","orcid":"https://orcid.org/0009-0007-0830-2205","observed_orcids":["https://orcid.org/0009-0007-0830-2205","https://orcid.org/0000-0001-8468-3256"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ellen Lau","raw_affiliation_strings":["Department of Linguistics, University of Maryland College Park","Department of Linguistics, University of Maryland College Park, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, University of Maryland College Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Linguistics, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014576371"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.8074,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.66797399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"9","first_page":"1162","last_page":"1182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10103","display_name":"Reading and Literacy Development","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/verb-argument-structure","display_name":"verb argument structure","score":0.6970000267028809},{"id":"https://openalex.org/keywords/resultative-constructions","display_name":"resultative constructions","score":0.5170000195503235},{"id":"https://openalex.org/keywords/compound-verbs","display_name":"compound verbs","score":0.718999981880188},{"id":"https://openalex.org/keywords/mandarin","display_name":"mandarin","score":0.5669999718666077},{"id":"https://openalex.org/keywords/n400","display_name":"N400","score":0.847000002861023},{"id":"https://openalex.org/keywords/event-relations","display_name":"event relations","score":0.4059999883174896},{"id":"https://openalex.org/keywords/sentence-parsing","display_name":"sentence parsing","score":0.4359999895095825},{"id":"https://openalex.org/keywords/temporal-dissociation","display_name":"temporal dissociation","score":0.5699999928474426}],"concepts":[{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.8298597931861877},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7018799185752869},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.6434122323989868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5951051712036133},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5549856424331665},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5412518382072449},{"id":"https://openalex.org/C181598458","wikidata":"https://www.wikidata.org/wiki/Q1969643","display_name":"N400","level":4,"score":0.49474141001701355},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.447208970785141},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.44475057721138},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.44129911065101624},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.435586154460907},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4238639175891876},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4069754481315613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3754322826862335},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32764941453933716},{"id":"https://openalex.org/C67359045","wikidata":"https://www.wikidata.org/wiki/Q14026181","display_name":"Event-related potential","level":3,"score":0.21433615684509277},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.13727688789367676},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.10213702917098999},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08101797103881836},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/23273798.2020.1733626","doi":"https://doi.org/10.1080/23273798.2020.1733626","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23273798.2020.1733626","pdf_url":null,"source":{"id":"https://openalex.org/S2765072596","display_name":"Language Cognition and Neuroscience","issn_l":"2327-3798","issn":["2327-3798","2327-3801"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language, Cognition and Neuroscience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8679456897","display_name":"Sustained Activity Mechanisms for Neurally Encoding Linguistic Structure","funder_award_id":"1749407","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W176539564","https://openalex.org/W1489902944","https://openalex.org/W1978415413","https://openalex.org/W1982350233","https://openalex.org/W1985982445","https://openalex.org/W1999686134","https://openalex.org/W2000550024","https://openalex.org/W2040504348","https://openalex.org/W2041221140","https://openalex.org/W2055574465","https://openalex.org/W2059692868","https://openalex.org/W2062526841","https://openalex.org/W2087273518","https://openalex.org/W2096575147","https://openalex.org/W2100920050","https://openalex.org/W2105652990","https://openalex.org/W2108395509","https://openalex.org/W2113942281","https://openalex.org/W2123163997","https://openalex.org/W2127334335","https://openalex.org/W2128495200","https://openalex.org/W2141138276","https://openalex.org/W2147611341","https://openalex.org/W2149442657","https://openalex.org/W2149648827","https://openalex.org/W2150104820","https://openalex.org/W2161345458","https://openalex.org/W2170522204","https://openalex.org/W2243296507","https://openalex.org/W2270070752","https://openalex.org/W2295126714","https://openalex.org/W2338040292","https://openalex.org/W2342094040","https://openalex.org/W2466071160","https://openalex.org/W2484899433","https://openalex.org/W2496137667","https://openalex.org/W2729503660","https://openalex.org/W4214684233"],"related_works":["https://openalex.org/W7098306126","https://openalex.org/W4409657932","https://openalex.org/W3096412732","https://openalex.org/W2342094040","https://openalex.org/W4283517933","https://openalex.org/W84443286","https://openalex.org/W2243296507","https://openalex.org/W6903725076","https://openalex.org/W7222777504","https://openalex.org/W2327076277"],"abstract_inverted_index":{"How":[0],"quickly":[1],"can":[2],"verb-argument":[3,22,135],"relations":[4],"be":[5,72],"computed":[6],"to":[7,86,89,113,131],"impact":[8],"predictions":[9],"of":[10,17,77],"a":[11,121],"subsequent":[12],"argument?":[13],"We":[14,63],"take":[15],"advantage":[16],"the":[18,40,55,68,75,78,87,95,108,114,127],"substantial":[19],"differences":[20],"in":[21,66,107],"structure":[23],"provided":[24],"by":[25],"Mandarin,":[26],"whose":[27],"compound":[28,80],"verbs":[29],"encode":[30],"complex":[31],"event":[32],"relations,":[33],"such":[34,45],"as":[35],"resultatives":[36],"(Kid":[37],"bit-broke":[38],"lip:":[39],"kid":[41],"bit":[42],"his":[43],"lip":[44],"that":[46,103],"it":[47],"broke)":[48],"and":[49,59,82,99,133],"coordinates":[50],"(Store":[51],"owner":[52,57],"hit-scolded":[53],"employee:":[54],"store":[56],"hit":[58],"scolded":[60],"an":[61],"employee).":[62],"tested":[64],"sentences":[65],"which":[67],"object":[69],"noun":[70,88],"could":[71],"predicted":[73],"on":[74],"basis":[76],"preceding":[79],"verb,":[81],"used":[83],"N400":[84],"responses":[85],"index":[90],"successful":[91],"prediction.":[92],"By":[93],"varying":[94],"delay":[96],"between":[97],"verb":[98],"noun,":[100],"we":[101],"show":[102],"prediction":[104],"is":[105],"delayed":[106],"resultative":[109],"context":[110],"(broken-BY-biting)":[111],"relative":[112],"coordinate":[115],"one":[116],"(hitting-AND-scolding).":[117],"These":[118],"results":[119],"present":[120],"first":[122],"step":[123],"towards":[124],"temporally":[125],"dissociating":[126],"fine-grained":[128],"subcomputations":[129],"required":[130],"parse":[132],"interpret":[134],"relations.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-03-06T00:00:00"}
