{"id":"https://openalex.org/W3101547274","doi":"https://doi.org/10.18653/v1/2020.wnut-1.68","title":"#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets","display_name":"#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3101547274","doi":"https://doi.org/10.18653/v1/2020.wnut-1.68","mag":"3101547274"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.wnut-1.68","doi":"https://doi.org/10.18653/v1/2020.wnut-1.68","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wnut-1.68","pdf_url":"https://aclanthology.org/2020.wnut-1.68.pdf","source":{"id":"https://openalex.org/S7407088860","display_name":"Workshop on Noisy User-generated Text (W-NUT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Sixth Workshop on Noisy User-generated Text (W-NUT 2020)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2020.wnut-1.68.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090824268","display_name":"Hanna Varachkina","orcid":"https://orcid.org/0000-0002-5832-3983","observed_orcids":["https://orcid.org/0000-0002-5832-3983"]},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hanna Varachkina","raw_affiliation_strings":["G\u00f6ttingen Centre for Digital Humanities","University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany","University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"G\u00f6ttingen Centre for Digital Humanities","institution_ids":[]},{"raw_affiliation_string":"University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073648482","display_name":"Stefan Ziehe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Ziehe","raw_affiliation_strings":["University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany","G\u00f6ttingen Centre for Digital Humanities","University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"G\u00f6ttingen Centre for Digital Humanities","institution_ids":[]},{"raw_affiliation_string":"University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070034057","display_name":"Tillmann D\u00f6nicke","orcid":"https://orcid.org/0000-0001-5844-9167","observed_orcids":["https://orcid.org/0000-0001-5844-9167"]},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tillmann D\u00f6nicke","raw_affiliation_strings":["University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany","G\u00f6ttingen Centre for Digital Humanities","University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"G\u00f6ttingen Centre for Digital Humanities","institution_ids":[]},{"raw_affiliation_string":"University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033198706","display_name":"Franziska Pannach","orcid":"https://orcid.org/0000-0003-4216-8410","observed_orcids":["https://orcid.org/0000-0003-4216-8410"]},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franziska Pannach","raw_affiliation_strings":["University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany","G\u00f6ttingen Centre for Digital Humanities","University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of G\u00f6ttingen GCDH * Papendiek 16 37073 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"G\u00f6ttingen Centre for Digital Humanities","institution_ids":[]},{"raw_affiliation_string":"University of G\u00f6ttingen Institute of Computer Science Goldschmidtstra\u00dfe 7 37077 G\u00f6ttingen Germany","institution_ids":["https://openalex.org/I74656192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74656192"],"apc_list":null,"apc_paid":null,"fwci":0.1908,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46716114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"462","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6161999702453613,"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":0.6161999702453613,"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":0.1477999985218048,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.11020000278949738,"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/covid-19-tweets","display_name":"COVID-19 tweets","score":0.8899999856948853},{"id":"https://openalex.org/keywords/bert","display_name":"BERT","score":0.8309999704360962},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.8289999961853027},{"id":"https://openalex.org/keywords/social-media-misinformation","display_name":"social media misinformation","score":0.5759999752044678},{"id":"https://openalex.org/keywords/english-tweets","display_name":"English-language tweets","score":0.7429999709129333}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7267724871635437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134388089179993},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.691283106803894},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6378535628318787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567876935005188},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4974706470966339},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.494578093290329},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48596394062042236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4560742974281311},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.446260929107666},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41561880707740784},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3563010096549988},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09423789381980896},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06413868069648743},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2020.wnut-1.68","doi":"https://doi.org/10.18653/v1/2020.wnut-1.68","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wnut-1.68","pdf_url":"https://aclanthology.org/2020.wnut-1.68.pdf","source":{"id":"https://openalex.org/S7407088860","display_name":"Workshop on Noisy User-generated Text (W-NUT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Sixth Workshop on Noisy User-generated Text (W-NUT 2020)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.goettingen-research-online.de:2/131430","doi":null,"is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/131430","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/2020.wnut-1.68","doi":"https://doi.org/10.18653/v1/2020.wnut-1.68","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wnut-1.68","pdf_url":"https://aclanthology.org/2020.wnut-1.68.pdf","source":{"id":"https://openalex.org/S7407088860","display_name":"Workshop on Noisy User-generated Text (W-NUT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Sixth Workshop on Noisy User-generated Text (W-NUT 2020)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.8100000023841858,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3101547274.pdf","grobid_xml":"https://content.openalex.org/works/W3101547274.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2896457183","https://openalex.org/W2963341956","https://openalex.org/W2964121744","https://openalex.org/W2980708516","https://openalex.org/W3099342932","https://openalex.org/W4324392584","https://openalex.org/W6893909989","https://openalex.org/W7221334988"],"related_works":["https://openalex.org/W3083695476","https://openalex.org/W3105257785","https://openalex.org/W3086597931","https://openalex.org/W4210776506","https://openalex.org/W3086862341","https://openalex.org/W4281398930","https://openalex.org/W3093220131","https://openalex.org/W3099790491","https://openalex.org/W3089405841","https://openalex.org/W3094423681"],"abstract_inverted_index":{"In":[0],"this":[1],"system":[2],"paper,":[3],"we":[4],"present":[5,46],"a":[6,53,58],"transformerbased":[7],"approach":[8],"to":[9,85],"the":[10,18,21,68,86],"detection":[11],"of":[12,20,78,90],"informativeness":[13],"in":[14,74],"English":[15,93],"tweets":[16,30,94],"on":[17,33],"topic":[19],"current":[22],"COVID-19":[23,40,92],"pandemic.Our":[24],"models":[25,66,82],"distinguish":[26],"informative":[27,91],"tweets,":[28],"i.e.":[29],"containing":[31],"statistics":[32],"recovery,":[34],"suspected":[35],"and":[36,39,57,80],"confirmed":[37],"cases":[38],"related":[41],"deaths,":[42],"from":[43],"uninformative":[44],"tweets.We":[45],"two":[47],"transformer-based":[48],"approaches":[49],"as":[50,52,62],"well":[51],"Naive":[54],"Bayes":[55],"classifier":[56],"support":[59],"vector":[60],"machine":[61],"baseline":[63],"systems.The":[64],"transformer":[65],"outperform":[67],"baselines":[69],"by":[70],"more":[71],"than":[72],"0.1":[73],"F1-score,":[75],"with":[76],"F1-scores":[77],"0.9091":[79],"0.9036.Our":[81],"were":[83],"submitted":[84],"shared":[87],"task":[88],"Identification":[89],"(WNUT-2020":[95],"Task":[96],"2).":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2020-11-23T00:00:00"}