{"id":"https://openalex.org/W2806801285","doi":"https://doi.org/10.18653/v1/s18-1034","title":"deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets","display_name":"deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2806801285","doi":"https://doi.org/10.18653/v1/s18-1034","mag":"2806801285"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s18-1034","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1034","pdf_url":"https://www.aclweb.org/anthology/S18-1034.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 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S18-1034.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013051498","display_name":"Zi Yuan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zi Yuan Gao","raw_affiliation_strings":["Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087434278","display_name":"Chia-Ping Chen","orcid":"https://orcid.org/0000-0002-7022-3061"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Ping Chen","raw_affiliation_strings":["Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087434278"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":0.5617,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70398357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T12488","display_name":"Mental Health via Writing","score":0.9958000183105469,"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/semeval","display_name":"SemEval","score":0.9774380922317505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8471713066101074},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.8218835592269897},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.7003569006919861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6414024233818054},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5550817251205444},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5229347944259644},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45309004187583923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43010807037353516},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.42447909712791443}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9774380922317505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8471713066101074},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.8218835592269897},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.7003569006919861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6414024233818054},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5550817251205444},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5229347944259644},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45309004187583923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43010807037353516},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42447909712791443},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s18-1034","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1034","pdf_url":"https://www.aclweb.org/anthology/S18-1034.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 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s18-1034","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1034","pdf_url":"https://www.aclweb.org/anthology/S18-1034.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 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2806801285.pdf","grobid_xml":"https://content.openalex.org/works/W2806801285.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2091432990","https://openalex.org/W2095705004","https://openalex.org/W2117130368","https://openalex.org/W2131774270","https://openalex.org/W2250729567","https://openalex.org/W2562607067","https://openalex.org/W2624871570","https://openalex.org/W2750747353","https://openalex.org/W2752188773","https://openalex.org/W2752201871","https://openalex.org/W2753523903","https://openalex.org/W2757162124","https://openalex.org/W2805744755","https://openalex.org/W2916132663","https://openalex.org/W2963223838"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2751613946","https://openalex.org/W4287887314","https://openalex.org/W2803726945","https://openalex.org/W2805641541","https://openalex.org/W4385572443","https://openalex.org/W2955722679","https://openalex.org/W4291593823","https://openalex.org/W2471749924","https://openalex.org/W4287889344"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3],"system":[4,72],"implementation":[5],"for":[6,29,53,63],"subtask":[7],"V-oc":[8],"of":[9],"SemEval-2018":[10,83],"Task":[11,84],"1:":[12],"affect":[13],"in":[14,37],"tweets.":[15],"We":[16],"use":[17,66],"multi-task":[18],"learning":[19,41],"method":[20],"to":[21,49,59],"learn":[22,26,50],"shared":[23],"representation,":[24],"then":[25],"the":[27,38,60,81],"features":[28,52],"each":[30],"task.":[31],"There":[32],"are":[33,46],"five":[34],"classification":[35,44,55],"models":[36,45],"proposed":[39],"multitask":[40],"approach.":[42],"These":[43],"trained":[47],"sequentially":[48],"different":[51,54],"tasks.":[56],"In":[57],"addition":[58],"data":[61],"released":[62],"SemEval-2018,":[64],"we":[65],"datasets":[67],"from":[68],"previous":[69],"SemEvals":[70],"during":[71],"construction.":[73],"Our":[74],"Pearson":[75],"correlation":[76],"score":[77],"is":[78],"0.638":[79],"on":[80],"official":[82],"1":[85],"test":[86],"set.":[87]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
