{"id":"https://openalex.org/W2805351602","doi":"https://doi.org/10.18653/v1/w18-1104","title":"Enabling Deep Learning of Emotion With First-Person Seed Expressions","display_name":"Enabling Deep Learning of Emotion With First-Person Seed Expressions","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2805351602","doi":"https://doi.org/10.18653/v1/w18-1104","mag":"2805351602"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-1104","doi":"https://doi.org/10.18653/v1/w18-1104","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-1104","pdf_url":"https://www.aclweb.org/anthology/W18-1104.pdf","source":null,"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 Second Workshop on Computational Modeling of People\u2019s Opinions, Personality, and Emotions in Social Media","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-1104.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046502677","display_name":"Hassan Alhuzali","orcid":"https://orcid.org/0000-0002-0935-0774","observed_orcids":["https://orcid.org/0000-0002-0935-0774"]},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hassan Alhuzali","raw_affiliation_strings":["Natural Language Processing Lab University of British Columbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004629670","display_name":"Muhammad Abdul-Mageed","orcid":"https://orcid.org/0000-0002-8590-2040","observed_orcids":["https://orcid.org/0000-0002-8590-2040"]},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Muhammad Abdul-Mageed","raw_affiliation_strings":["Natural Language Processing Lab University of British Columbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044944954","display_name":"Lyle Ungar","orcid":"https://orcid.org/0000-0003-2047-1443","observed_orcids":["https://orcid.org/0000-0003-2047-1443"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lyle Ungar","raw_affiliation_strings":["Computer and Information Science University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and Information Science University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9316,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.90569131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9961000084877014,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9961000084877014,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.003599999938160181,"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"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/emotion-recognition","display_name":"emotion recognition","score":0.8479999899864197},{"id":"https://openalex.org/keywords/arabic-text","display_name":"Arabic text","score":0.652999997138977},{"id":"https://openalex.org/keywords/emotion-labeling","display_name":"emotion labeling","score":0.3179999887943268},{"id":"https://openalex.org/keywords/gated-recurrent-neural-networks","display_name":"gated recurrent neural networks","score":0.652999997138977},{"id":"https://openalex.org/keywords/basic-emotions","display_name":"basic emotions","score":0.7110000252723694},{"id":"https://openalex.org/keywords/modern-standard-arabic","display_name":"Modern Standard Arabic","score":0.7870000004768372},{"id":"https://openalex.org/keywords/arabic-dialects","display_name":"Arabic dialects","score":0.7730000019073486},{"id":"https://openalex.org/keywords/emotion-datasets","display_name":"emotion datasets","score":0.6349999904632568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819427847862244},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.7192773222923279},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6732090711593628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6729969382286072},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6081382632255554},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5935556888580322},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5035948157310486},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4998185634613037},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4954146146774292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48418548703193665},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4731534421443939},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.45651718974113464},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.447842538356781},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.445702463388443},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4421005845069885},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4341658353805542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39162155985832214},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-1104","doi":"https://doi.org/10.18653/v1/w18-1104","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-1104","pdf_url":"https://www.aclweb.org/anthology/W18-1104.pdf","source":null,"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 Second Workshop on Computational Modeling of People\u2019s Opinions, Personality, and Emotions in Social Media","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-1104","doi":"https://doi.org/10.18653/v1/w18-1104","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-1104","pdf_url":"https://www.aclweb.org/anthology/W18-1104.pdf","source":null,"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 Second Workshop on Computational Modeling of People\u2019s Opinions, Personality, and Emotions in Social Media","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805351602.pdf","grobid_xml":"https://content.openalex.org/works/W2805351602.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1512175247","https://openalex.org/W1513398909","https://openalex.org/W1518369940","https://openalex.org/W1522301498","https://openalex.org/W1569507287","https://openalex.org/W1604601673","https://openalex.org/W1815076433","https://openalex.org/W1847088711","https://openalex.org/W1904365287","https://openalex.org/W1966797434","https://openalex.org/W1971222444","https://openalex.org/W2012307708","https://openalex.org/W2020854665","https://openalex.org/W2027232045","https://openalex.org/W2040467972","https://openalex.org/W2046677541","https://openalex.org/W2053154970","https://openalex.org/W2064675550","https://openalex.org/W2071332064","https://openalex.org/W2107598941","https://openalex.org/W2107878631","https://openalex.org/W2108646579","https://openalex.org/W2108948681","https://openalex.org/W2114524997","https://openalex.org/W2124752409","https://openalex.org/W2133341045","https://openalex.org/W2142262074","https://openalex.org/W2157331557","https://openalex.org/W2164385461","https://openalex.org/W2164777277","https://openalex.org/W2250243742","https://openalex.org/W2250522473","https://openalex.org/W2250594687","https://openalex.org/W2251902771","https://openalex.org/W2274912527","https://openalex.org/W2294703018","https://openalex.org/W2295710275","https://openalex.org/W2460077910","https://openalex.org/W2466545435","https://openalex.org/W2466778245","https://openalex.org/W2563828857","https://openalex.org/W2588279288","https://openalex.org/W2740540254","https://openalex.org/W2741447225","https://openalex.org/W2744881172","https://openalex.org/W2805089673","https://openalex.org/W2805744755","https://openalex.org/W2908473373","https://openalex.org/W2916132663","https://openalex.org/W2951488730","https://openalex.org/W2963847116","https://openalex.org/W2964121744","https://openalex.org/W4285719527","https://openalex.org/W4385414156"],"related_works":["https://openalex.org/W4388621839","https://openalex.org/W4306361107","https://openalex.org/W3009902384","https://openalex.org/W4411122624","https://openalex.org/W7220455769","https://openalex.org/W4411949523","https://openalex.org/W4210813966","https://openalex.org/W7150005367","https://openalex.org/W4388551728","https://openalex.org/W2969604412"],"abstract_inverted_index":{"The":[0],"computational":[1],"treatment":[2],"of":[3,22,38,113],"emotion":[4,39,55,63,73],"in":[5,130],"natural":[6],"language":[7],"text":[8],"remains":[9],"relatively":[10],"limited,":[11],"and":[12,29,42,52,107],"Arabic":[13,54],"is":[14,17],"no":[15],"exception.This":[16],"partly":[18],"due":[19],"to":[20],"lack":[21],"labeled":[23,40],"data.In":[24],"this":[25],"work,":[26,124],"we":[27,75,78,121,125],"describe":[28],"manually":[30],"validate":[31],"a":[32,44,65,84,102,133],"method":[33,68,106],"for":[34,49],"the":[35,118],"automatic":[36],"acquisition":[37],"data":[41,47,108],"introduce":[43],"newly":[45],"developed":[46],"set":[48],"Modern":[50],"Standard":[51],"Dialectal":[53],"detection":[56],"focused":[57],"at":[58],"Robert":[59],"Plutchik's":[60],"8":[61],"basic":[62],"types.Using":[64],"hybrid":[66],"supervision":[67],"that":[69],"exploits":[70],"first":[71],"person":[72],"seeds,":[74],"show":[76],"how":[77],"can":[79],"acquire":[80,126],"promising":[81],"results":[82],"with":[83],"deep":[85],"gated":[86],"recurrent":[87],"neural":[88],"network.Our":[89],"best":[90],"model":[91],"reaches":[92],"70%":[93],"Fscore,":[94],"significantly":[95],"(i.e.,":[96],"11%,":[97],"p":[98],"<":[99],"0.05)":[100],"outperforming":[101],"competitive":[103],"baseline.Applying":[104],"our":[105,123,143],"on":[109,138],"an":[110],"external":[111],"dataset":[112],"4":[114],"emotions":[115],"released":[116],"around":[117],"same":[119],"time":[120],"finalized":[122],"7%":[127],"absolute":[128],"gain":[129],"F-score":[131],"over":[132],"linear":[134],"SVM":[135],"classifier":[136],"trained":[137],"gold":[139],"data,":[140],"thus":[141],"validating":[142],"approach.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2018-06-13T00:00:00"}
