{"id":"https://openalex.org/W2954445923","doi":"https://doi.org/10.18653/v1/s19-2183","title":"Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks","display_name":"Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954445923","doi":"https://doi.org/10.18653/v1/s19-2183","mag":"2954445923"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2183","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2183","pdf_url":"https://www.aclweb.org/anthology/S19-2183.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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S19-2183.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078681642","display_name":"Albin Zehe","orcid":"https://orcid.org/0000-0002-9472-0783"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Albin Zehe","raw_affiliation_strings":["DMIR Group, University of Wuerzburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMIR Group, University of Wuerzburg","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036709883","display_name":"Lena Hettinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lena Hettinger","raw_affiliation_strings":["DMIR Group, University of Wuerzburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMIR Group, University of Wuerzburg","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102421843","display_name":"Stefan Ernst","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Ernst","raw_affiliation_strings":["DMIR Group, University of Wuerzburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMIR Group, University of Wuerzburg","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086592398","display_name":"Christian Hauptmann","orcid":"https://orcid.org/0000-0003-4850-9175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Hauptmann","raw_affiliation_strings":["DMIR Group, University of Wuerzburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMIR Group, University of Wuerzburg","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054225034","display_name":"Andreas Hotho","orcid":"https://orcid.org/0000-0002-0483-5772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Hotho","raw_affiliation_strings":["DMIR Group, University of Wuerzburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMIR Group, University of Wuerzburg","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.37247653,"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":"1047","last_page":"1051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9916999936103821,"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/semeval","display_name":"SemEval","score":0.9176541566848755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8576942682266235},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7519450187683105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6973279714584351},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6694431304931641},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6631487011909485},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6292281150817871},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6047317981719971},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5033139586448669},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.49649959802627563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42655882239341736},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40264809131622314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3791734278202057}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9176541566848755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8576942682266235},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7519450187683105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6973279714584351},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6694431304931641},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6631487011909485},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6292281150817871},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6047317981719971},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5033139586448669},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.49649959802627563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42655882239341736},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40264809131622314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3791734278202057},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/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/s19-2183","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2183","pdf_url":"https://www.aclweb.org/anthology/S19-2183.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"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2183","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2183","pdf_url":"https://www.aclweb.org/anthology/S19-2183.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":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954445923.pdf","grobid_xml":"https://content.openalex.org/works/W2954445923.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1836465849","https://openalex.org/W2097998348","https://openalex.org/W2153579005","https://openalex.org/W2493916176","https://openalex.org/W2593408211","https://openalex.org/W2806712899","https://openalex.org/W2955041501","https://openalex.org/W2963403868","https://openalex.org/W2963940534","https://openalex.org/W4294170691","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3141979996","https://openalex.org/W3113054633","https://openalex.org/W3117973240","https://openalex.org/W4287663240","https://openalex.org/W4385570659","https://openalex.org/W3115087542","https://openalex.org/W3117847293","https://openalex.org/W3115494066","https://openalex.org/W3087633719","https://openalex.org/W2955604406"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3],"system":[4],"for":[5,23,92],"the":[6,33,52,69,83],"Sem-Eval":[7],"2019":[8],"Task":[9],"4":[10],"on":[11,17,27,68,76],"hyperpartisan":[12],"news":[13],"detection.":[14],"We":[15,73],"build":[16],"an":[18,46,56,62],"existing":[19],"deep":[20],"learning":[21],"approach":[22],"sentence":[24],"classification":[25],"based":[26],"a":[28,89,93],"Convolutional":[29],"Neural":[30],"Network.":[31],"Modifying":[32],"original":[34],"model":[35],"with":[36],"additional":[37,77],"layers":[38],"to":[39],"increase":[40],"its":[41],"expressiveness":[42],"and":[43,61,85],"finally":[44],"building":[45],"ensemble":[47],"of":[48,51,58,65],"multiple":[49],"versions":[50],"model,":[53],"we":[54],"obtain":[55],"accuracy":[57],"67.52":[59],"%":[60,67],"F1":[63],"score":[64],"73.78":[66],"main":[70],"test":[71],"dataset.":[72],"also":[74],"report":[75],"experiments":[78],"incorporating":[79],"handcrafted":[80],"features":[81],"into":[82],"CNN":[84],"using":[86],"it":[87],"as":[88],"feature":[90],"extractor":[91],"linear":[94],"SVM.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}