{"id":"https://openalex.org/W2460159515","doi":"https://doi.org/10.18653/v1/s16-1003","title":"SemEval-2016 Task 6: Detecting Stance in Tweets","display_name":"SemEval-2016 Task 6: Detecting Stance in Tweets","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2460159515","doi":"https://doi.org/10.18653/v1/s16-1003","mag":"2460159515"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-1003","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1003","pdf_url":"https://www.aclweb.org/anthology/S16-1003.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-1003.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033684482","display_name":"Saif M. Mohammad","orcid":"https://orcid.org/0000-0003-2716-7516"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Saif Mohammad","raw_affiliation_strings":["National Research Council Canada"],"affiliations":[{"raw_affiliation_string":"National Research Council Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077738658","display_name":"Svetlana Kiritchenko","orcid":"https://orcid.org/0000-0003-2550-3918"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Svetlana Kiritchenko","raw_affiliation_strings":["National Research Council Canada"],"affiliations":[{"raw_affiliation_string":"National Research Council Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001813396","display_name":"Parinaz Sobhani","orcid":"https://orcid.org/0000-0003-3210-3947"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Parinaz Sobhani","raw_affiliation_strings":["University of Ottawa"],"affiliations":[{"raw_affiliation_string":"University of Ottawa","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016892586","display_name":"Xiaodan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhu","raw_affiliation_strings":["National Research Council Canada"],"affiliations":[{"raw_affiliation_string":"National Research Council Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048302740","display_name":"Colin Cherry","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Colin Cherry","raw_affiliation_strings":["National Research Council Canada"],"affiliations":[{"raw_affiliation_string":"National Research Council Canada","institution_ids":["https://openalex.org/I4210159778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033684482"],"corresponding_institution_ids":["https://openalex.org/I4210159778"],"apc_list":null,"apc_paid":null,"fwci":122.2018,"has_fulltext":true,"cited_by_count":844,"citation_normalized_percentile":{"value":0.99955969,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9988999962806702,"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":0.9416386485099792},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7476427555084229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322473526000977},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5414405465126038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5128893852233887},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05912557244300842}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9416386485099792},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7476427555084229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322473526000977},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5414405465126038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128893852233887},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05912557244300842},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/s16-1003","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1003","pdf_url":"https://www.aclweb.org/anthology/S16-1003.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:23001913","is_oa":false,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=3aeec8d1-d42c-44ff-aa3b-040c56fe629a","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:zenodo.org:115379","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/115379","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"doi:10.18653/v1/s16-1003","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1003","pdf_url":"https://www.aclweb.org/anthology/S16-1003.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2460159515.pdf","grobid_xml":"https://content.openalex.org/works/W2460159515.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W106250223","https://openalex.org/W1854537555","https://openalex.org/W1887364683","https://openalex.org/W2022204871","https://openalex.org/W2097726431","https://openalex.org/W2098420572","https://openalex.org/W2118677368","https://openalex.org/W2145327091","https://openalex.org/W2156413587","https://openalex.org/W2160660844","https://openalex.org/W2162010436","https://openalex.org/W2227064546","https://openalex.org/W2250243742","https://openalex.org/W2250397934","https://openalex.org/W2250730878","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2347127863","https://openalex.org/W2460474657","https://openalex.org/W2462365838","https://openalex.org/W2462738860","https://openalex.org/W2463498399","https://openalex.org/W2467186984","https://openalex.org/W2468196991","https://openalex.org/W2471505823","https://openalex.org/W2471548394","https://openalex.org/W2472225127","https://openalex.org/W2572163506","https://openalex.org/W2964230653","https://openalex.org/W3027304069","https://openalex.org/W3105205304","https://openalex.org/W6826916023"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2751613946","https://openalex.org/W4287887314","https://openalex.org/W2803726945","https://openalex.org/W4291593823","https://openalex.org/W2805641541","https://openalex.org/W4385572443","https://openalex.org/W4221151255","https://openalex.org/W2955722679","https://openalex.org/W2963463993"],"abstract_inverted_index":{"Here":[0],"for":[1,94,104,118,141,148,158,163],"the":[2,32,38,42,63,72,91,102,116,177],"first":[3],"time":[4],"we":[5,109],"present":[6],"a":[7,16,19,83,95,119],"shared":[8,134],"task":[9,87,125,135],"on":[10],"detecting":[11],"stance":[12,175],"from":[13,138,145,181],"tweets:":[14],"given":[15,39,43],"tweet":[17],"and":[18,65,101,127,144,161],"target":[20,52,73,96,121,178],"entity":[21],"(person,":[22],"organization,":[23],"etc.),":[24],"automatic":[25],"natural":[26],"language":[27],"systems":[28,167],"must":[29],"determine":[30],"whether":[31,46],"tweeter":[33],"is":[34,49,82,97,131],"in":[35,62,124],"favor":[36],"of":[37,53,74,90,115,179],"target,":[40,44],"against":[41],"or":[45,56,68],"neither":[47],"inference":[48],"likely.":[50],"The":[51,151],"interest":[54,180],"may":[55,57,67,69],"not":[58,70],"be":[59,71],"referred":[60],"to":[61,173],"tweet,":[64],"it":[66,169],"opinion.":[75],"Two":[76],"tasks":[77],"are":[78],"proposed.":[79],"Task":[80,107,142,149,159,164],"A":[81,143,160],"traditional":[84],"supervised":[85],"classification":[86,153],"where":[88],"70%":[89],"annotated":[92],"data":[93,113,130],"used":[98,123],"as":[99,111],"training":[100,129],"rest":[103],"testing.":[105],"For":[106],"B,":[108],"use":[110],"test":[112],"all":[114],"instances":[117],"new":[120],"(not":[122],"A)":[126],"no":[128],"provided.":[132],"Our":[133],"received":[136],"submissions":[137],"19":[139],"teams":[140,147],"9":[146],"B.":[150,165],"highest":[152],"F-score":[154],"obtained":[155],"was":[156],"67.82":[157],"56.28":[162],"However,":[166],"found":[168],"markedly":[170],"more":[171],"difficult":[172],"infer":[174],"towards":[176,186],"tweets":[182],"that":[183],"express":[184],"opinion":[185],"another":[187],"entity.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":77},{"year":2024,"cited_by_count":67},{"year":2023,"cited_by_count":124},{"year":2022,"cited_by_count":96},{"year":2021,"cited_by_count":108},{"year":2020,"cited_by_count":85},{"year":2019,"cited_by_count":99},{"year":2018,"cited_by_count":70},{"year":2017,"cited_by_count":73},{"year":2016,"cited_by_count":33}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2016-07-22T00:00:00"}
