{"id":"https://openalex.org/W2337603192","doi":"https://doi.org/10.1145/2964797.2964815","title":"Entity Centric Information Retrieval","display_name":"Entity Centric Information Retrieval","publication_year":2016,"publication_date":"2016-06-27","ids":{"openalex":"https://openalex.org/W2337603192","doi":"https://doi.org/10.1145/2964797.2964815","mag":"2337603192"},"language":"en","primary_location":{"id":"doi:10.1145/2964797.2964815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964797.2964815","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://udspace.udel.edu/bitstreams/07f36596-886f-4ed5-b2ad-b1c9a116a983/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072983516","display_name":"Xitong Liu","orcid":"https://orcid.org/0000-0002-5197-3422"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xitong Liu","raw_affiliation_strings":["University of Delaware, Newark, DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072983516"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":2.1597,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91013445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"50","issue":"1","first_page":"92","last_page":"92"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9975000023841858,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9968000054359436,"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":0.9128113985061646},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.77428138256073},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5425142049789429},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5360586643218994},{"id":"https://openalex.org/keywords/human\u2013computer-information-retrieval","display_name":"Human\u2013computer information retrieval","score":0.4350408613681793},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4150241017341614},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.38532519340515137},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.3658694624900818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11253190040588379}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9128113985061646},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.77428138256073},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5425142049789429},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5360586643218994},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.4350408613681793},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4150241017341614},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.38532519340515137},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3658694624900818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11253190040588379},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2964797.2964815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964797.2964815","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"},{"id":"pmh:oai:udspace.udel.edu:19716/17662","is_oa":true,"landing_page_url":"http://udspace.udel.edu/handle/19716/17662","pdf_url":"https://udspace.udel.edu/bitstreams/07f36596-886f-4ed5-b2ad-b1c9a116a983/download","source":{"id":"https://openalex.org/S4377196565","display_name":"Library, Museums and Press - UDSpace (University of Delaware)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I86501945","host_organization_name":"University of Delaware","host_organization_lineage":["https://openalex.org/I86501945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:udspace.udel.edu:19716/17662","is_oa":true,"landing_page_url":"http://udspace.udel.edu/handle/19716/17662","pdf_url":"https://udspace.udel.edu/bitstreams/07f36596-886f-4ed5-b2ad-b1c9a116a983/download","source":{"id":"https://openalex.org/S4377196565","display_name":"Library, Museums and Press - UDSpace (University of Delaware)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I86501945","host_organization_name":"University of Delaware","host_organization_lineage":["https://openalex.org/I86501945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2337603192.pdf","grobid_xml":"https://content.openalex.org/works/W2337603192.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W24701829","https://openalex.org/W85238235","https://openalex.org/W86887328","https://openalex.org/W216536535","https://openalex.org/W1493490255","https://openalex.org/W1509167927","https://openalex.org/W1512387364","https://openalex.org/W1528282505","https://openalex.org/W1569403765","https://openalex.org/W1578853865","https://openalex.org/W1638567743","https://openalex.org/W1755160336","https://openalex.org/W1789474086","https://openalex.org/W1798554821","https://openalex.org/W1878118535","https://openalex.org/W1880262756","https://openalex.org/W1956559956","https://openalex.org/W1964348731","https://openalex.org/W1979459060","https://openalex.org/W1985471546","https://openalex.org/W1997486487","https://openalex.org/W2000411838","https://openalex.org/W2000545282","https://openalex.org/W2005118595","https://openalex.org/W2007807439","https://openalex.org/W2014415866","https://openalex.org/W2015441003","https://openalex.org/W2019973434","https://openalex.org/W2022166150","https://openalex.org/W2025356973","https://openalex.org/W2048045485","https://openalex.org/W2049633694","https://openalex.org/W2052088591","https://openalex.org/W2052628356","https://openalex.org/W2068128131","https://openalex.org/W2068905009","https://openalex.org/W2072262123","https://openalex.org/W2090288396","https://openalex.org/W2093390569","https://openalex.org/W2094728533","https://openalex.org/W2095368471","https://openalex.org/W2098057544","https://openalex.org/W2099938389","https://openalex.org/W2102563107","https://openalex.org/W2104049510","https://openalex.org/W2107370612","https://openalex.org/W2107703929","https://openalex.org/W2109154214","https://openalex.org/W2110360823","https://openalex.org/W2117813082","https://openalex.org/W2119119231","https://openalex.org/W2119465010","https://openalex.org/W2123032859","https://openalex.org/W2125135708","https://openalex.org/W2134842174","https://openalex.org/W2135294470","https://openalex.org/W2140008999","https://openalex.org/W2146987563","https://openalex.org/W2147152072","https://openalex.org/W2147880316","https://openalex.org/W2150130793","https://openalex.org/W2153252192","https://openalex.org/W2153267064","https://openalex.org/W2159676500","https://openalex.org/W2164547069","https://openalex.org/W2165612380","https://openalex.org/W2166983036","https://openalex.org/W2169213601","https://openalex.org/W2395921823"],"related_works":["https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2041353081","https://openalex.org/W2581240705","https://openalex.org/W3122129390","https://openalex.org/W2593088329","https://openalex.org/W1996230590","https://openalex.org/W2361097923","https://openalex.org/W2379402744","https://openalex.org/W1950919046"],"abstract_inverted_index":{"In":[0,125],"the":[1,4,7,43,71,111,122,209,220,259,301,335,370,374],"past":[2],"decade,":[3],"prosperity":[5],"of":[6,16,32,67,84,106,186,233,252,263,311,338,351,366,377],"World":[8],"Wide":[9],"Web":[10],"has":[11],"led":[12],"to":[13,26,41,48,56,100,121,131,134,158,207,227,230,307,408],"fast":[14,375],"explosion":[15],"information,":[17],"and":[18,35,110,154,188,213,215,254,261,313,331,362,389],"there":[19],"is":[20,81,165,179,244,324],"a":[21,29,57,64,82,184,197,290,349],"long-standing":[22],"demand":[23],"on":[24,276,326,354,368,405],"how":[25,130,226],"access":[27],"such":[28],"huge":[30,65],"volume":[31,105],"information":[33,51,59,161,357,382,410],"effectively":[34],"efficiently.":[36],"Information":[37,95],"Retrieval":[38],"(IR)":[39],"aims":[40,150],"tackle":[42],"challenge":[44],"by":[45,181,303],"exploring":[46,116],"approaches":[47],"obtain":[49],"relevant":[50,55],"items":[52],"(e.g.,":[53,61,70,75],"documents)":[54],"given":[58],"need":[60,162],"query)":[62],"from":[63,103,167,192],"collection":[66],"textual":[68,90],"data":[69,278],"Web).":[72],"Named":[73],"entity":[74,305,355],"person,":[76],"location,":[77],"product,":[78],"event,":[79],"organization)":[80],"type":[83],"term":[85],"compound":[86],"widely":[87],"existing":[88],"in":[89,94,137,171,238,359,412],"data.":[91],"Recent":[92],"advances":[93],"Extraction":[96],"make":[97],"it":[98],"possible":[99],"extract":[101],"entities":[102,118,133,144,153,191,214,217,229,251,367,384,407],"large":[104],"free":[107],"text":[108],"efficiently,":[109],"research":[112,352],"community":[113],"are":[114,175],"actively":[115],"whether":[117],"would":[119],"contribute":[120],"retrieval":[123,136,178,237,292,341,358,371,392,411],"effectiveness.":[124,372],"this":[126],"thesis,":[127],"we":[128,223,281],"investigate":[129],"leverage":[132,228],"improve":[135,231,334,409],"several":[138,269,318,339,360],"directions.":[139,240],"We":[140,195,248,288,394],"start":[141],"with":[142,145],"finding":[143],"certain":[146],"semantic":[147,309,329],"relation,":[148],"which":[149,172,201,299],"at":[151],"retrieving":[152,183],"their":[155],"associated":[156],"attributes":[157],"meet":[159],"user's":[160],"directly.":[163],"This":[164,346],"different":[166],"traditional":[168],"search":[169,336],"paradigm":[170],"only":[173],"documents":[174,187,204,312],"retrieved.":[176],"Entity":[177,296],"performed":[180],"first":[182,242],"list":[185],"then":[189],"extracting":[190],"those":[193],"documents.":[194],"propose":[196,289],"novel":[198,291],"probabilistic":[199],"framework":[200],"leverages":[202],"supporting":[203],"as":[205,400],"bridge":[206],"model":[208],"relevance":[210,286,302],"between":[211],"query":[212,246,256],"rank":[216],"accordingly.":[218],"On":[219],"other":[221],"side,":[222],"also":[224],"explore":[225,282],"effectiveness":[232],"ad":[234],"hoc":[235],"document":[236],"two":[239],"The":[241],"direction":[243],"entity-centric":[245,285],"expansion.":[247],"find":[249],"related":[250,264],"query,":[253],"perform":[255],"expansion":[257],"using":[258],"names":[260],"relations":[262],"entities.":[265],"Significant":[266],"improvements":[267],"over":[268,317],"state-of-the-art":[270,340],"feedback":[271],"models":[272,300,342],"could":[273,385,398],"be":[274,386],"observed":[275],"multiple":[277],"collections.":[279],"Besides,":[280],"another":[283],"direction:":[284],"modeling.":[287],"approach,":[293],"i.e.,":[294],"Latent":[295],"Space":[297],"(LES),":[298],"leveraging":[304,406],"profiles":[306],"represent":[308],"content":[310,330],"queries.":[314,345],"Experimental":[315],"results":[316],"TREC":[319],"collections":[320],"show":[321],"that":[322],"LES":[323],"effective":[325],"capturing":[327],"latent":[328],"can":[332],"significantly":[333],"accuracy":[337],"for":[343,402],"entity-bearing":[344],"thesis":[347],"presents":[348],"series":[350],"efforts":[353],"centric":[356],"directions,":[361],"reveals":[363],"promising":[364],"potential":[365],"improving":[369],"With":[373],"curation":[376],"high-quality":[378],"knowledge":[379],"base,":[380],"more":[381,413],"about":[383],"easily":[387],"accessed":[388],"integrated":[390],"into":[391],"models.":[393],"hope":[395],"our":[396],"work":[397,404],"serve":[399],"guideline":[401],"future":[403],"applications.":[414]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2025-10-10T00:00:00"}
