{"id":"https://openalex.org/W2799185178","doi":"https://doi.org/10.1145/3209978.3210204","title":"Auto-completion for Question Answering Systems at Bloomberg","display_name":"Auto-completion for Question Answering Systems at Bloomberg","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2799185178","doi":"https://doi.org/10.1145/3209978.3210204","mag":"2799185178"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210204","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034239421","display_name":"Konstantine Arkoudas","orcid":"https://orcid.org/0000-0003-3436-8922"},"institutions":[{"id":"https://openalex.org/I1299907687","display_name":"Bloomberg (United States)","ror":"https://ror.org/02rdpzb15","country_code":"US","type":"company","lineage":["https://openalex.org/I1299907687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantine Arkoudas","raw_affiliation_strings":["Bloomberg, New York City, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bloomberg, New York City, NY, USA","institution_ids":["https://openalex.org/I1299907687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087929673","display_name":"Mohamed Yahya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Yahya","raw_affiliation_strings":["Bloomberg, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bloomberg, London, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03948588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1351","last_page":"1352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","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/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8358045816421509},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5834784507751465},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.5754666328430176},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5650969743728638},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5528355836868286},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5142564177513123},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4884449541568756},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.48451560735702515},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.4695594608783722},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.46899107098579407},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4256003499031067},{"id":"https://openalex.org/keywords/terminal","display_name":"Terminal (telecommunication)","score":0.412667453289032},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.36423546075820923},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.28038063645362854},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2701493501663208},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.15254664421081543},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.12122061848640442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8358045816421509},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5834784507751465},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.5754666328430176},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5650969743728638},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5528355836868286},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5142564177513123},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4884449541568756},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.48451560735702515},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.4695594608783722},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.46899107098579407},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4256003499031067},{"id":"https://openalex.org/C2779664074","wikidata":"https://www.wikidata.org/wiki/Q3518405","display_name":"Terminal (telecommunication)","level":2,"score":0.412667453289032},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.36423546075820923},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.28038063645362854},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2701493501663208},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.15254664421081543},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.12122061848640442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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:10.1145/3209978.3210204","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1489022643","https://openalex.org/W1981419611","https://openalex.org/W1989234058","https://openalex.org/W2060575618","https://openalex.org/W2093245971","https://openalex.org/W2110207985","https://openalex.org/W2124814993","https://openalex.org/W2153987307","https://openalex.org/W2522306626","https://openalex.org/W2740016848","https://openalex.org/W4205355130"],"related_works":["https://openalex.org/W2615202182","https://openalex.org/W4206665951","https://openalex.org/W3085073370","https://openalex.org/W2904139343","https://openalex.org/W2529794967","https://openalex.org/W2978246852","https://openalex.org/W2604011835","https://openalex.org/W2528203718","https://openalex.org/W2295924417","https://openalex.org/W4241483715"],"abstract_inverted_index":{"The":[0,306],"Bloomberg":[1],"Terminal":[2],"is":[3,33,362],"the":[4,12,31,64,88,118,125,146,174,182,188,211,215,243,247,269,274,285,332],"leading":[5],"source":[6],"of":[7,17,26,40,98,201,246,277,284,297,329,331],"information":[8,41,115],"and":[9,28,56,109,129,184,218,221,295,326],"news":[10],"in":[11,117,133],"finance":[13],"industry.":[14],"Through":[15],"hundreds":[16],"functions":[18],"that":[19,81,169,352],"provide":[20],"access":[21],"to":[22,35,63,76,127,148,158,187,194,225,263,273,288,310,344,357],"a":[23,37,93,96,149,177,191,195,261,349],"vast":[24],"wealth":[25],"structured":[27],"semi-structured":[29],"data,":[30],"terminal":[32,65],"able":[34,356],"satisfy":[36],"wide":[38],"range":[39,245],"needs.":[42],"Users":[43],"can":[44,154,172,210,217,230,240,252,317],"find":[45],"what":[46,214,361],"they":[47,85],"need":[48],"by":[49,90],"constructing":[50],"queries,":[51],"plotting":[52],"charts,":[53],"creating":[54],"alerts,":[55],"so":[57],"on.":[58],"Until":[59],"recently,":[60],"most":[61],"queries":[62,131,175],"were":[66],"constructed":[67],"through":[68],"dedicated":[69],"GUIs.":[70],"For":[71],"instance,":[72],"if":[73],"users":[74,299],"wanted":[75],"screen":[77],"for":[78,292],"technology":[79,340],"companies":[80],"met":[82],"certain":[83],"criteria,":[84],"would":[86],"specify":[87],"criteria":[89],"filling":[91],"out":[92],"form":[94],"via":[95],"sequence":[97],"interactions":[99],"with":[100,124],"GUI":[101],"elements":[102],"such":[103],"as":[104,164,260,290,336,338,348],"drop-down":[105],"lists,":[106],"checkboxes,":[107],"radio":[108],"toggle":[110],"buttons,":[111],"etc.":[112],"To":[113],"facilitate":[114],"retrieval":[116],"terminal,":[119],"we":[120,171,241,253,353],"are":[121,354],"equipping":[122],"it":[123],"ability":[126],"understand":[128,220,358],"answer":[130,222,360],"expressed":[132],"natural":[134],"language.":[135],"Our":[136],"QA":[137,315],"(question":[138],"answering)":[139],"systems":[140],"map":[141],"structurally":[142],"complex":[143],"questions":[144],"like":[145],"above":[147],"logical":[150],"meaning":[151],"representation":[152],"which":[153,298],"then":[155],"be":[156],"translated":[157],"an":[159],"executable":[160],"query":[161],"language":[162],"(such":[163],"SQL":[165],"or":[166],"SPARQL).":[167],"At":[168],"point":[170],"execute":[173],"against":[176],"suitable":[178],"back":[179],"end,":[180],"obtain":[181],"results,":[183],"present":[185],"them":[186,206],"users.":[189],"Adding":[190],"natural-language":[192],"interface":[193],"data":[196,294,334],"repository":[197],"introduces":[198],"usability":[199],"challenges":[200],"its":[202,255],"own,":[203],"chief":[204],"amongst":[205],"being":[207,363],"this:":[208],"How":[209,239,251],"user":[212],"know":[213],"system":[216,316],"cannot":[219],"(without":[223],"needing":[224],"undergo":[226],"extensive":[227],"training)?":[228],"We":[229,257,279,342],"unpack":[231],"this":[232],"question":[233,271,308],"into":[234],"two":[235],"separate":[236],"parts:":[237],"1)":[238],"convey":[242,254],"full":[244],"system's":[248],"abilities?":[249],"2)":[250],"limitations?":[256],"use":[258],"auto-complete":[259],"tool":[262],"help":[264],"meet":[265],"both":[266],"challenges.":[267],"Specifically,":[268],"first":[270],"pertains":[272,309],"general":[275],"issue":[276],"discoverability:":[278],"want":[280,343],"at":[281],"least":[282],"some":[283],"suggested":[286],"completions":[287,347],"act":[289],"vehicles":[291],"discovering":[293],"functionality":[296],"may":[300],"have":[301],"not":[302,355],"been":[303],"previously":[304],"aware.":[305],"second":[307],"expectation":[311],"management.":[312],"Naturally,":[313],"no":[314],"attain":[318],"perfect":[319],"performance;":[320],"limiting":[321],"factors":[322],"include":[323],"representational":[324],"shortcomings":[325],"various":[327],"kinds":[328],"incompleteness":[330],"underlying":[333],"sources,":[335],"well":[337],"NLP":[339],"limitations.":[341],"stop":[345],"generating":[346],"signal":[350],"indicating":[351],"and/or":[359],"typed.":[364]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}