{"id":"https://openalex.org/W2954331718","doi":"https://doi.org/10.18653/v1/s19-2026","title":"CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs","display_name":"CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954331718","doi":"https://doi.org/10.18653/v1/s19-2026","mag":"2954331718"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2026","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2026","pdf_url":"https://www.aclweb.org/anthology/S19-2026.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S19-2026.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022823158","display_name":"Ana Valeria Gonz\u00e1lez","orcid":null},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ana Valeria Gonz\u00e1lez","raw_affiliation_strings":["University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000641560","display_name":"Victor Petr\u00e9n Bach Hansen","orcid":null},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Victor Petr\u00e9n Bach Hansen","raw_affiliation_strings":["University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028729586","display_name":"Joachim Bingel","orcid":"https://orcid.org/0000-0002-4113-3390"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Joachim Bingel","raw_affiliation_strings":["University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018138946","display_name":"Anders S\u00f8gaard","orcid":"https://orcid.org/0000-0001-5250-4276"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Anders S\u00f8gaard","raw_affiliation_strings":["University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Dept. of Computer Science Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":0.2893,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65936632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983000159263611,"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/T12031","display_name":"Speech and dialogue systems","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8106221556663513},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.7697818279266357},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6938103437423706},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.665604829788208},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5589790344238281},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5587370991706848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5379778146743774},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.5170762538909912},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.5078189969062805},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5016999244689941},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.47611767053604126},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46316206455230713},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.39179083704948425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36517876386642456},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10099369287490845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8106221556663513},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7697818279266357},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6938103437423706},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.665604829788208},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5589790344238281},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5587370991706848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5379778146743774},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.5170762538909912},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.5078189969062805},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5016999244689941},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.47611767053604126},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46316206455230713},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.39179083704948425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36517876386642456},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10099369287490845},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/s19-2026","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2026","pdf_url":"https://www.aclweb.org/anthology/S19-2026.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/62d88b81-1d3c-4194-8b07-bdf6e1911eb9","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/62d88b81-1d3c-4194-8b07-bdf6e1911eb9","pdf_url":"https://curis.ku.dk/ws/files/240420501/OA_CoAStaL_at_SemEval_2019_Task_3.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gonz\u00e1lez , A V , Petr\u00e9n Bach Hansen , V , Bingel , J & S\u00f8gaard , A 2019 , CoAStaL at SemEval-2019 Task 3 : Affect Classification in Dialogue using Attentive BiLSTMs . in Proceedings of the 13th International Workshop on Semantic Evaluation . Association for Computational Linguistics , pp. 169-174 , 13th International Workshop on Semantic Evaluation (SemEval-2019) , Minneapolis , United States , 06/06/2019 . https://doi.org/10.18653/v1/S19-2026","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/62d88b81-1d3c-4194-8b07-bdf6e1911eb9","is_oa":true,"landing_page_url":"https://curis.ku.dk/portal/da/publications/coastal-at-semeval2019-task-3(62d88b81-1d3c-4194-8b07-bdf6e1911eb9).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2026","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2026","pdf_url":"https://www.aclweb.org/anthology/S19-2026.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954331718.pdf","grobid_xml":"https://content.openalex.org/works/W2954331718.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W61273459","https://openalex.org/W1514944708","https://openalex.org/W1595033373","https://openalex.org/W1612268991","https://openalex.org/W1995641269","https://openalex.org/W2022964551","https://openalex.org/W2036309320","https://openalex.org/W2120757491","https://openalex.org/W2130162821","https://openalex.org/W2136879928","https://openalex.org/W2146334809","https://openalex.org/W2470673105","https://openalex.org/W2527467788","https://openalex.org/W2738554243","https://openalex.org/W2750747353","https://openalex.org/W2805662932","https://openalex.org/W2955429306","https://openalex.org/W2963291843","https://openalex.org/W2964300796","https://openalex.org/W3106003309","https://openalex.org/W4243716403","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2252046358","https://openalex.org/W3115494066","https://openalex.org/W3117973240","https://openalex.org/W4385570659","https://openalex.org/W3115087542","https://openalex.org/W4287663240","https://openalex.org/W3117847293","https://openalex.org/W3087633719","https://openalex.org/W2955604406","https://openalex.org/W4288263119"],"abstract_inverted_index":{"This":[0],"work":[1],"describes":[2],"the":[3,7,23,53,112],"system":[4,19,103,124],"presented":[5,27],"by":[6,36,49],"CoAStaL":[8],"Natural":[9],"Language":[10],"Processing":[11],"group":[12],"at":[13,52],"University":[14],"of":[15,69,109],"Copenhagen.":[16],"The":[17],"main":[18],"we":[20],"present":[21],"uses":[22],"same":[24],"attention":[25],"mechanism":[26],"in":[28,47,86,94,119],"Our":[29,101],"overall":[30],"model":[31,40],"architecture":[32],"is":[33,73],"also":[34,80],"inspired":[35],"their":[37],"hierarchical":[38],"classification":[39,46],"and":[41,115],"adapted":[42],"to":[43,63,88,122],"deal":[44,89],"with":[45,90],"dialogue":[48,70,126],"encoding":[50],"information":[51],"turn":[54,62],"level.":[55],"We":[56,79],"use":[57],"different":[58],"encodings":[59],"for":[60],"each":[61],"create":[64],"a":[65,82,105,123],"more":[66],"expressive":[67],"representation":[68],"context":[71],"which":[72],"then":[74],"fed":[75],"into":[76],"our":[77],"classifier.":[78],"define":[81],"custom":[83],"preprocessing":[84],"step":[85],"order":[87],"language":[91],"commonly":[92],"used":[93],"interactions":[95],"across":[96],"many":[97],"social":[98],"media":[99],"outlets.":[100],"proposed":[102],"achieves":[104],"micro":[106],"F1":[107],"score":[108],"0.7340":[110],"on":[111],"test":[113],"set":[114],"shows":[116],"significant":[117],"gains":[118],"performance":[120],"compared":[121],"using":[125],"level":[127],"encoding.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}