{"id":"https://openalex.org/W3018696946","doi":"https://doi.org/10.1145/3340531.3412760","title":"Event-QA","display_name":"Event-QA","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3018696946","doi":"https://doi.org/10.1145/3340531.3412760","mag":"3018696946"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.11861","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tarc\u00edsio Souza Costa","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tarc\u00edsio Souza Costa","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simon Gottschalk","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Gottschalk","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":null,"display_name":"Elena Demidova","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elena Demidova","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":null,"apc_paid":null,"fwci":3.2912,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.93417559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3157","last_page":"3164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9983000159263611,"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/question-answering","display_name":"Question answering","score":0.6373000144958496},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5673999786376953},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5195000171661377},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4262000024318695},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4147999882698059},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.414000004529953},{"id":"https://openalex.org/keywords/portuguese","display_name":"Portuguese","score":0.38370001316070557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197999954223633},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6373000144958496},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5195000171661377},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46209999918937683},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C35219183","wikidata":"https://www.wikidata.org/wiki/Q5146","display_name":"Portuguese","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3743000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37130001187324524},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C234837","wikidata":"https://www.wikidata.org/wiki/Q1420493","display_name":"Conceptual graph","level":3,"score":0.3336000144481659},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.3328999876976013},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.30320000648498535},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2872999906539917},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.27709999680519104}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3340531.3412760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.11861","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.11861","pdf_url":"https://arxiv.org/pdf/2004.11861","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.11861","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.11861","pdf_url":"https://arxiv.org/pdf/2004.11861","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1552847225","https://openalex.org/W2107315187","https://openalex.org/W2113596997","https://openalex.org/W2234575251","https://openalex.org/W2235091959","https://openalex.org/W2521367263","https://openalex.org/W2532938041","https://openalex.org/W2763039547","https://openalex.org/W2798898418","https://openalex.org/W2890421547","https://openalex.org/W2945412254","https://openalex.org/W2962924456","https://openalex.org/W2963900171","https://openalex.org/W2964120615","https://openalex.org/W2980401255","https://openalex.org/W3034829114"],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"Question":[1],"Answering":[2],"(QA)":[3],"is":[4,35],"a":[5],"crucial":[6],"technology":[7],"to":[8,13],"facilitate":[9],"intuitive":[10],"user":[11],"access":[12],"semantic":[14,76],"information":[15],"stored":[16],"in":[17,41],"knowledge":[18,49,71,91],"graphs.":[19,72],"Whereas":[20],"most":[21],"of":[22,44],"the":[23,42,63,79],"existing":[24],"QA":[25],"systems":[26],"and":[27,78,83],"datasets":[28,52],"focus":[29],"on":[30],"entity-centric":[31],"questions,":[32],"very":[33],"little":[34],"known":[36],"about":[37],"these":[38],"systems'":[39],"performance":[40],"context":[43],"events.":[45,98],"As":[46],"new":[47],"event-centric":[48,68,90],"graphs":[50],"emerge,":[51],"for":[53,66,86],"such":[54],"questions":[55,69],"gain":[56],"importance.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"present":[62],"Event-QA":[64,73],"dataset":[65],"answering":[67],"over":[70],"contains":[74],"1000":[75],"queries":[77],"corresponding":[80],"English,":[81],"German":[82],"Portuguese":[84],"verbalizations":[85],"EventKG":[87],"-":[88],"an":[89],"graph":[92],"with":[93],"more":[94],"than":[95],"970":[96],"thousand":[97]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-05-01T00:00:00"}