{"id":"https://openalex.org/W2951181836","doi":"https://doi.org/10.18653/v1/p19-1496","title":"TWEETQA: A Social Media Focused Question Answering Dataset","display_name":"TWEETQA: A Social Media Focused Question Answering Dataset","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951181836","doi":"https://doi.org/10.18653/v1/p19-1496","mag":"2951181836"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1496","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1496","pdf_url":null,"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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/p19-1496","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110635444","display_name":"Wenhan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenhan Xiong","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009633508","display_name":"Jiawei Wu","orcid":"https://orcid.org/0000-0001-6251-2202"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Wu","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370862","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0001-5727-7834"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013097792","display_name":"Vivek Kulkarni","orcid":"https://orcid.org/0000-0003-2926-3747"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek Kulkarni","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101583277","display_name":"Mo Yu","orcid":"https://orcid.org/0000-0003-0949-6113"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mo Yu","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112248869","display_name":"Shiyu Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiyu Chang","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051951021","display_name":"Xiaoxiao Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoxiao Guo","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702488","display_name":"William Yang Wang","orcid":"https://orcid.org/0000-0002-0878-1257"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Yang Wang","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5110635444"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":5.2022,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.96372275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5020","last_page":"5031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9939000010490417,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8336887359619141},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.798157274723053},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7944218516349792},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6535565257072449},{"id":"https://openalex.org/keywords/lagging","display_name":"Lagging","score":0.6111358404159546},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5674387812614441},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5101478695869446},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40419989824295044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3954768180847168},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38156449794769287},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.35865530371665955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2067379355430603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8336887359619141},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.798157274723053},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7944218516349792},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6535565257072449},{"id":"https://openalex.org/C2776962539","wikidata":"https://www.wikidata.org/wiki/Q6472078","display_name":"Lagging","level":2,"score":0.6111358404159546},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5674387812614441},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5101478695869446},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40419989824295044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3954768180847168},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38156449794769287},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.35865530371665955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2067379355430603},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1496","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1496","pdf_url":null,"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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1496","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1496","pdf_url":null,"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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W175570475","https://openalex.org/W655994999","https://openalex.org/W1544827683","https://openalex.org/W1632114991","https://openalex.org/W2101105183","https://openalex.org/W2116492146","https://openalex.org/W2125436846","https://openalex.org/W2126209950","https://openalex.org/W2133564696","https://openalex.org/W2153848201","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2551396370","https://openalex.org/W2557764419","https://openalex.org/W2606964149","https://openalex.org/W2740765036","https://openalex.org/W2753329127","https://openalex.org/W2753613501","https://openalex.org/W2888302696","https://openalex.org/W2896457183","https://openalex.org/W2949615363","https://openalex.org/W2951534261","https://openalex.org/W2951831170","https://openalex.org/W2962739339","https://openalex.org/W2963159690","https://openalex.org/W2963341956","https://openalex.org/W2963448850","https://openalex.org/W2963748441","https://openalex.org/W2963963993","https://openalex.org/W2964223283","https://openalex.org/W2964267515","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2135562825","https://openalex.org/W3145783610","https://openalex.org/W2354181859","https://openalex.org/W2472614530","https://openalex.org/W2375646802","https://openalex.org/W2052668055","https://openalex.org/W2162038069","https://openalex.org/W627568556","https://openalex.org/W2358087883"],"abstract_inverted_index":{"With":[0],"social":[1,59,166],"media":[2,60,167],"becoming":[3],"increasingly":[4],"popular":[5],"on":[6,31,39,124],"which":[7,101],"lots":[8],"of":[9,26,161],"news":[10,47,80],"and":[11,48,90],"real-time":[12,32],"events":[13],"are":[14,69,104,127],"reported,":[15],"developing":[16],"automated":[17],"question":[18,40],"answering":[19,41],"systems":[20,164],"is":[21,144],"critical":[22],"to":[23,78,87,110,134,158],"the":[24,52,65,102,108,140,159],"effective-ness":[25],"many":[27],"applications":[28],"that":[29,64,115,121],"rely":[30],"knowledge.":[33],"While":[34],"previous":[35],"datasets":[36,97],"have":[37],"concentrated":[38],"(QA)":[42],"for":[43,56],"formal":[44,125],"text":[45],"like":[46,98],"Wikipedia,":[49],"we":[50,67,71,106],"present":[51],"first":[53],"large-scale":[54],"dataset":[55],"QA":[57,163],"over":[58],"data.":[61],"To":[62],"ensure":[63],"tweets":[66,74],"collected":[68],"useful,":[70],"only":[72],"gather":[73],"used":[75],"by":[76],"journalists":[77],"write":[79,88],"articles.":[81],"We":[82,113],"then":[83],"ask":[84],"human":[85,148],"annotators":[86],"questions":[89],"answers":[91,103,109],"upon":[92],"these":[93],"tweets.":[94],"Unlike":[95],"otherQA":[96],"SQuAD":[99],"in":[100,129],"extractive,":[105],"allow":[107],"be":[111],"abstractive.":[112],"show":[114],"two":[116],"recently":[117],"proposed":[118],"neural":[119],"models":[120],"perform":[122],"well":[123],"texts":[126],"limited":[128],"their":[130],"performance":[131,149],"when":[132],"applied":[133],"our":[135],"dataset.":[136],"In":[137],"addition,":[138],"even":[139],"fine-tuned":[141],"BERT":[142],"model":[143],"still":[145],"lagging":[146],"behind":[147],"with":[150],"a":[151],"large":[152],"margin.":[153],"Our":[154],"results":[155],"thus":[156],"point":[157],"need":[160],"improved":[162],"targeting":[165],"text.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}