{"id":"https://openalex.org/W3020942410","doi":"https://doi.org/10.1145/3341105.3374029","title":"Representation learning for entity type ranking","display_name":"Representation learning for entity type ranking","publication_year":2020,"publication_date":"2020-03-29","ids":{"openalex":"https://openalex.org/W3020942410","doi":"https://doi.org/10.1145/3341105.3374029","mag":"3020942410"},"language":"en","primary_location":{"id":"doi:10.1145/3341105.3374029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101461196","display_name":"Md Mostafizur Rahman","orcid":"https://orcid.org/0009-0000-9974-3792"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Md Mostafizur Rahman","raw_affiliation_strings":["The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan","institution_ids":["https://openalex.org/I200475212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087434029","display_name":"Atsuhiro Takasu","orcid":"https://orcid.org/0000-0002-9061-7949"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuhiro Takasu","raw_affiliation_strings":["The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan","institution_ids":["https://openalex.org/I200475212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052565959","display_name":"Gianluca Demartini","orcid":"https://orcid.org/0000-0002-7311-3693"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gianluca Demartini","raw_affiliation_strings":["University of Queensland, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2049","last_page":"2056"},"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/T11273","display_name":"Advanced Graph Neural Networks","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/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"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":0.7850040197372437},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7385677695274353},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.6278257369995117},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5932650566101074},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5346716046333313},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.48631247878074646},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4773002862930298},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46851563453674316},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45557042956352234},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.4537529945373535},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4438796043395996},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3764156103134155},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3161892592906952},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.21536123752593994},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09776103496551514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09220200777053833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850040197372437},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7385677695274353},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.6278257369995117},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5932650566101074},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5346716046333313},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.48631247878074646},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4773002862930298},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46851563453674316},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45557042956352234},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.4537529945373535},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4438796043395996},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3764156103134155},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3161892592906952},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.21536123752593994},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09776103496551514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09220200777053833},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3341105.3374029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:0df26a1","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5199999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W202566267","https://openalex.org/W205829674","https://openalex.org/W1552847225","https://openalex.org/W2022166150","https://openalex.org/W2094728533","https://openalex.org/W2099752825","https://openalex.org/W2156954687","https://openalex.org/W2158028897","https://openalex.org/W2184957013","https://openalex.org/W2226877337","https://openalex.org/W2247119764","https://openalex.org/W2283196293","https://openalex.org/W2509435444","https://openalex.org/W2509893387","https://openalex.org/W2734755249","https://openalex.org/W2744662283","https://openalex.org/W2783565819","https://openalex.org/W2887273523","https://openalex.org/W2901528736","https://openalex.org/W2962756421","https://openalex.org/W2962936385","https://openalex.org/W3100591234"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W4390446658","https://openalex.org/W2138488530","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"The":[0],"type":[1,38,64,99,115,131,186,200],"of":[2,9,120,140,156,172,194],"an":[3,14,59,72],"entity":[4,15,37,60,73,78,83,114,130,185],"is":[5,16,67,100],"a":[6,26,41,52,57,75,87,105,137,161],"key":[7],"piece":[8],"information":[10,39,54,91,155],"to":[11,21,48,81,86,182],"understand":[12],"what":[13],"and":[17,36,90,153,169,176,211],"how":[18],"it":[19],"relates":[20],"other":[22],"entities":[23],"mentioned":[24],"in":[25,46,74],"document.":[27],"Search":[28],"engine":[29],"result":[30],"pages":[31],"(SERPs)":[32],"often":[33],"surface":[34],"facts":[35],"from":[40,149],"background":[42],"Knowledge":[43],"Graph":[44],"(KG)":[45],"response":[47],"queries":[49],"that":[50,129,191],"carry":[51],"semantic":[53],"need.":[55],"In":[56,108,124],"KG,":[58,76],"usually":[61],"holds":[62],"multiple":[63],"properties.":[65],"It":[66],"then":[68],"important":[69],"to,":[70],"given":[71],"rank":[77],"types":[79],"attached":[80],"the":[82,96,101,113,141,151,157,170,173,177,184,192,198,205],"by":[84,118],"relevance":[85],"certain":[88],"user":[89],"need":[92],"as":[93,136],"not":[94],"always":[95],"most":[97,102],"popular":[98],"informative":[103],"within":[104],"textual":[106],"context.":[107],"this":[109],"paper":[110],"we":[111,127],"address":[112],"ranking":[116,132,201],"problem":[117],"means":[119],"KG":[121,142],"embedding":[122,175,179],"models.":[123],"our":[125],"work,":[126],"show":[128,190],"can":[133,146],"be":[134,147],"seen":[135],"special":[138],"case":[139],"completion":[143],"problem.":[144],"Embeddings":[145],"learned":[148],"both":[150],"structural":[152],"probabilistic":[154,178],"entities.":[158],"We":[159],"propose":[160],"Representation":[162],"Learning":[163],"model":[164],"for":[165],"Type":[166],"Ranking":[167],"(RL-TRank)":[168],"results":[171,189],"structure":[174],"are":[180],"combined":[181],"get":[183],"ranking.":[187],"Experimental":[188],"accuracy":[193],"RL-TRank":[195],"approaches":[196],"outperform":[197],"state-of-the-art":[199],"models":[202],"while,":[203],"at":[204],"same":[206],"time,":[207],"being":[208],"more":[209],"efficient":[210],"scalable.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}