{"id":"https://openalex.org/W2912098092","doi":null,"title":"Can You Spot the Semantic Predicate in this Video","display_name":"Can You Spot the Semantic Predicate in this Video","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2912098092","mag":"2912098092"},"language":"en","primary_location":{"id":"mag:2912098092","doi":null,"is_oa":false,"landing_page_url":"https://aclanthology.info/papers/W18-4307/w18-4307","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5022670728","display_name":"Christopher Reale","orcid":"https://orcid.org/0000-0002-3978-9577","observed_orcids":["https://orcid.org/0000-0002-3978-9577"]},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Reale","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Adelphi, United States"],"raw_orcid":"https://orcid.org/0000-0002-3978-9577","affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Adelphi, United States","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087092493","display_name":"Claire Bonial","orcid":"https://orcid.org/0000-0002-3154-2852","observed_orcids":["https://orcid.org/0000-0002-3154-2852"]},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claire Bonial","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Adelphi, United States"],"raw_orcid":"https://orcid.org/0000-0002-3154-2852","affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Adelphi, United States","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040282679","display_name":"Heesung Kwon","orcid":"https://orcid.org/0009-0003-8049-1873","observed_orcids":["https://orcid.org/0009-0003-8049-1873"]},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heesung Kwon","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Adelphi, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Adelphi, United States","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009361768","display_name":"Clare R. Voss","orcid":"https://orcid.org/0000-0001-5023-6474","observed_orcids":["https://orcid.org/0000-0001-5023-6474"]},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clare R. Voss","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Adelphi, United States"],"raw_orcid":"https://orcid.org/0000-0001-5023-6474","affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Adelphi, United States","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9721999764442444,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9721999764442444,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.011800000444054604,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.009700000286102295,"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/human-activity-recognition","display_name":"human activity recognition","score":0.9210000038146973},{"id":"https://openalex.org/keywords/semantic-predicates","display_name":"semantic predicates","score":0.6729999780654907},{"id":"https://openalex.org/keywords/verbnet","display_name":"VerbNet","score":0.9990000128746033},{"id":"https://openalex.org/keywords/word-meaning","display_name":"word meaning","score":0.7310000061988831},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"multi-task learning","score":0.8349999785423279},{"id":"https://openalex.org/keywords/language-resources","display_name":"language resources","score":0.4269999861717224},{"id":"https://openalex.org/keywords/visual-saliency","display_name":"visual saliency","score":0.5210000276565552},{"id":"https://openalex.org/keywords/event-semantics","display_name":"event semantics","score":0.6330000162124634},{"id":"https://openalex.org/keywords/video-analysis","display_name":"video analysis","score":0.4020000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8729561567306519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680973768234253},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6521860361099243},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5895922183990479},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5823978185653687},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5705245733261108},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5089173316955566},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.4853197932243347},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45486563444137573},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.43123680353164673},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4297647178173065},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4145011901855469},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.29096749424934387},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.11539909243583679},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.10653534531593323},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07269054651260376},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2912098092","doi":null,"is_oa":false,"landing_page_url":"https://aclanthology.info/papers/W18-4307/w18-4307","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1614862348","https://openalex.org/W1933349210","https://openalex.org/W2039217078","https://openalex.org/W2043126905","https://openalex.org/W2050988571","https://openalex.org/W2101039060","https://openalex.org/W2108598243","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2250815964","https://openalex.org/W2342662179","https://openalex.org/W2423576022","https://openalex.org/W2463873473","https://openalex.org/W2613635555","https://openalex.org/W2963173190"],"related_works":["https://openalex.org/W7100257148","https://openalex.org/W1603943397","https://openalex.org/W2745736970","https://openalex.org/W2142900973","https://openalex.org/W2101039060","https://openalex.org/W1976965931","https://openalex.org/W2038746778","https://openalex.org/W7095171040","https://openalex.org/W2282381828","https://openalex.org/W2491244780"],"abstract_inverted_index":{"We":[0,52,72,87],"propose":[1],"a":[2,54,61],"method":[3],"to":[4,47],"improve":[5],"human":[6],"activity":[7],"recognition":[8,85],"in":[9,119],"video":[10,108],"by":[11,37,99],"leveraging":[12],"semantic":[13,39,96],"information":[14,66,80,97],"about":[15],"the":[16,38,78,94,107],"target":[17],"activities":[18,29],"from":[19,67],"an":[20],"expert-defined":[21],"linguistic":[22,65],"resource,":[23],"VerbNet.":[24],"Our":[25],"hypothesis":[26],"is":[27,101],"that":[28,30],"share":[31,48],"similar":[32],"event":[33],"semantics,":[34],"as":[35,60],"defined":[36,98],"predicates":[40],"of":[41,75],"VerbNet,":[42],"will":[43],"be":[44,92],"more":[45],"likely":[46],"some":[49],"visual":[50],"components.":[51],"use":[53],"deep":[55],"convolutional":[56],"neural":[57],"network":[58],"approach":[59,110],"baseline":[62],"and":[63,113],"incorporate":[64],"VerbNet":[68,100],"through":[69],"multi-task":[70],"learning.":[71],"present":[73],"results":[74],"experiments":[76],"showing":[77],"added":[79],"has":[81],"negligible":[82],"impact":[83],"on":[84],"performance.":[86],"discuss":[88],"how":[89,114],"this":[90,118],"may":[91,116],"because":[93],"lexical":[95],"generally":[102],"not":[103],"visually":[104],"salient":[105],"given":[106],"processing":[109],"used":[111],"here,":[112],"we":[115],"handle":[117],"future":[120],"approaches.":[121]},"counts_by_year":[],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2019-02-21T00:00:00"}