{"id":"https://openalex.org/W3208564698","doi":"https://doi.org/10.1145/3459637.3482163","title":"Question Answering using Web Lists","display_name":"Question Answering using Web Lists","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3208564698","doi":"https://doi.org/10.1145/3459637.3482163","mag":"3208564698"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482163","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482163","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482163","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482163","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021003481","display_name":"Anoop R Katti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anoop R. Katti","raw_affiliation_strings":["Amazon Alexa AI, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Berlin, Germany","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017775632","display_name":"Kai Hui","orcid":"https://orcid.org/0000-0002-3110-7404"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Hui","raw_affiliation_strings":["Amazon Alexa AI, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Berlin, Germany","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041559636","display_name":"Adri\u00e0 de Gispert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adria de Gispert","raw_affiliation_strings":["Amazon Alexa AI, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Barcelona, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046081787","display_name":"Hagen Fuerstenau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hagen Fuerstenau","raw_affiliation_strings":["Amazon Alexa AI, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Berlin, Germany","institution_ids":["https://openalex.org/I4210089985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"3132","last_page":"3136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T12016","display_name":"Web Data Mining and Analysis","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.996399998664856,"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":0.8550586104393005},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6921646595001221},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6911427974700928},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6846771836280823},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6795004606246948},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6783660650253296},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.655925989151001},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6133934855461121},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5969265699386597},{"id":"https://openalex.org/keywords/open-domain","display_name":"Open domain","score":0.5341504812240601},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.449263334274292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8550586104393005},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6921646595001221},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6911427974700928},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6846771836280823},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6795004606246948},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6783660650253296},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.655925989151001},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6133934855461121},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5969265699386597},{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.5341504812240601},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.449263334274292},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482163","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482163","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482163","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3459637.3482163","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482163","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482163","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208564698.pdf","grobid_xml":"https://content.openalex.org/works/W3208564698.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1976502741","https://openalex.org/W2108223890","https://openalex.org/W2113066983","https://openalex.org/W2171364811","https://openalex.org/W2341748398","https://openalex.org/W2398606196","https://openalex.org/W2538374209","https://openalex.org/W2618735189","https://openalex.org/W2892181857","https://openalex.org/W2912924812","https://openalex.org/W2963341956","https://openalex.org/W2997090102","https://openalex.org/W3026889466","https://openalex.org/W3099700870","https://openalex.org/W3099965312"],"related_works":["https://openalex.org/W2391533720","https://openalex.org/W2951097643","https://openalex.org/W4309395021","https://openalex.org/W3091989500","https://openalex.org/W3215363805","https://openalex.org/W204133468","https://openalex.org/W2991310128","https://openalex.org/W4307481286","https://openalex.org/W2395174199","https://openalex.org/W4226441484"],"abstract_inverted_index":{"There":[0],"are":[1,6,80],"many":[2],"natural":[3],"questions":[4,19],"that":[5,22,53,78],"best":[7],"answered":[8],"with":[9,95],"a":[10],"list.":[11],"We":[12,44,87,133],"address":[13],"the":[14,25,38,56,59,65,89,100,121,124,128,143],"problem":[15],"of":[16,35,67,112,117,123],"answering":[17],"such":[18],"using":[20],"lists":[21,36,60],"occur":[23],"on":[24,37,92],"Web,":[26],"i.e.":[27],"List":[28],"Question":[29],"Answering":[30],"(ListQA).":[31],"The":[32],"diverse":[33],"formats":[34],"Web":[39],"makes":[40],"this":[41],"task":[42,125],"challenging.":[43],"describe":[45],"state-of-the-art":[46],"methods":[47],"for":[48,71,131,145],"list":[49],"extraction":[50],"and":[51,83,96,104,114,126,141],"ranking,":[52],"also":[54],"consider":[55],"text":[57],"surrounding":[58],"as":[61],"context.":[62,98],"Due":[63],"to":[64],"lack":[66],"realistic":[68],"public":[69],"datasets":[70,77,144],"ListQA,":[72],"we":[73,106],"present":[74],"three":[75],"novel":[76],"together":[79],"realistic,":[81],"reproducible":[82],"test":[84],"out-of-domain":[85],"generalization.":[86],"benchmark":[88],"above":[90],"steps":[91],"these":[93],"datasets,":[94],"without":[97],"On":[99],"hardest":[101],"setting":[102],"(realistic":[103],"out-of-domain),":[105],"achieve":[107],"an":[108],"end-to-end":[109],"[email":[110,115],"protected]":[111,116],"51.28%":[113],"79.38%,":[118],"effectively":[119],"demonstrating":[120],"difficulty":[122],"quantifying":[127],"immediate":[129],"opportunity":[130],"improvement.":[132],"highlight":[134],"some":[135],"future":[136],"directions":[137],"through":[138],"error":[139],"analysis":[140],"release":[142],"further":[146],"research.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
