{"id":"https://openalex.org/W2927583380","doi":"https://doi.org/10.18653/v1/s19-2193","title":"CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors","display_name":"CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2927583380","doi":"https://doi.org/10.18653/v1/s19-2193","mag":"2927583380"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2193","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2193","pdf_url":"https://www.aclweb.org/anthology/S19-2193.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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S19-2193.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ipek Baris","orcid":null},"institutions":[{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]},{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ipek Baris","raw_affiliation_strings":["Institute for Web Science and Technologies (WeST), University of Koblenz-Landau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Web Science and Technologies (WeST), University of Koblenz-Landau, Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lukas Schmelzeisen","orcid":null},"institutions":[{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]},{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Schmelzeisen","raw_affiliation_strings":["Institute for Web Science and Technologies (WeST), University of Koblenz-Landau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Web Science and Technologies (WeST), University of Koblenz-Landau, Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"]}]},{"author_position":"last","author":{"id":null,"display_name":"Steffen Staab","orcid":null},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]},{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]},{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Steffen Staab","raw_affiliation_strings":["Institute for Web Science and Technologies (WeST), University of Koblenz-Landau, Germany","Web and Internet Science Group (WAIS), University of Southampton, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Web Science and Technologies (WeST), University of Koblenz-Landau, Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"]},{"raw_affiliation_string":"Web and Internet Science Group (WAIS), University of Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"],"apc_list":null,"apc_paid":null,"fwci":4.2801,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94315805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1105","last_page":"1109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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/T13718","display_name":"Media Influence and Politics","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.76910001039505},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5442000031471252},{"id":"https://openalex.org/keywords/rumor","display_name":"Rumor","score":0.4724999964237213},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.46560001373291016},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.353300005197525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886999845504761},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.76910001039505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637999773025513},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.4724999964237213},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.46560001373291016},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46560001373291016},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35370001196861267},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.28999999165534973}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/s19-2193","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2193","pdf_url":"https://www.aclweb.org/anthology/S19-2193.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:arXiv.org:1904.03084","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.03084","pdf_url":"https://arxiv.org/pdf/1904.03084","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2193","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2193","pdf_url":"https://www.aclweb.org/anthology/S19-2193.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":[],"awards":[{"id":"https://openalex.org/G777205902","display_name":null,"funder_award_id":"770302","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8122187303","display_name":null,"funder_award_id":"STA 572/18-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2927583380.pdf","grobid_xml":"https://content.openalex.org/works/W2927583380.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3,101,125],"submission":[4],"to":[5,28,56],"SemEval-2019":[6],"Task":[7],"7:":[8],"RumourEval:":[9],"Determining":[10],"Rumor":[11],"Veracity":[12],"and":[13,40,83,106,122,128],"Support":[14],"for":[15,103],"Rumors.":[16],"We":[17,119],"participated":[18],"in":[19,116],"both":[20],"subtasks.":[21],"The":[22,50],"goal":[23,51],"of":[24,32,52,60,76,89,112,124],"subtask":[25,53,65,92,104],"A":[26,105],"is":[27,55],"classify":[29],"the":[30,58,117],"type":[31],"interaction":[33],"between":[34],"a":[35,41,61,69,85,96,108],"rumorous":[36],"social":[37],"media":[38],"post":[39,43,77],"reply":[42],"as":[44],"support,":[45],"query,":[46],"deny,":[47],"or":[48],"comment.":[49],"B":[54],"predict":[57],"veracity":[59],"given":[62],"rumor.":[63],"For":[64,91],"A,":[66],"we":[67,94],"implement":[68],"CNN-based":[70],"neural":[71,98],"architecture":[72],"using":[73],"ELMo":[74],"embeddings":[75],"text":[78],"combined":[79],"with":[80],"auxiliary":[81],"features":[82],"achieve":[84,107],"F":[86,109],"1":[87,110],"-score":[88,111],"44.6%.":[90],"B,":[93],"employ":[95],"MLP":[97],"network":[99],"leveraging":[100],"estimates":[102],"30.1%":[113],"(second":[114],"place":[115],"competition).":[118],"provide":[120],"results":[121],"analysis":[123],"system":[126],"performance":[127],"present":[129],"ablation":[130],"experiments.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2019-04-11T00:00:00"}
