{"id":"https://openalex.org/W2337488840","doi":"https://doi.org/10.1145/2911451.2911545","title":"Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph","display_name":"Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2337488840","doi":"https://doi.org/10.1145/2911451.2911545","mag":"2337488840"},"language":"en","primary_location":{"id":"doi:10.1145/2911451.2911545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","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/A5003964555","display_name":"Fedor Nikolaev","orcid":"https://orcid.org/0000-0001-6343-1623"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fedor Nikolaev","raw_affiliation_strings":["Wayne State University & Kazan Federal University, Detroit, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wayne State University & Kazan Federal University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025168533","display_name":"Alexander Kotov","orcid":"https://orcid.org/0000-0002-9872-6605"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Kotov","raw_affiliation_strings":["Wayne State University, Detroit, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052506041","display_name":"Nikita Zhiltsov","orcid":null},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikita Zhiltsov","raw_affiliation_strings":["Kazan Federal University, Kazan, Russian Fed"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kazan Federal University, Kazan, Russian Fed","institution_ids":["https://openalex.org/I21203515"]}]}],"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":39,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8474786281585693},{"id":"https://openalex.org/keywords/bigram","display_name":"Bigram","score":0.7466810941696167},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5163903832435608},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4765791893005371},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4700395464897156},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4587024450302124},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.41463425755500793},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4123152494430542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3837096393108368},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2994464039802551},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15365678071975708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09176453948020935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8474786281585693},{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.7466810941696167},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5163903832435608},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4765791893005371},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4700395464897156},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4587024450302124},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.41463425755500793},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4123152494430542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3837096393108368},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2994464039802551},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15365678071975708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09176453948020935},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2911451.2911545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327643","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W84343632","https://openalex.org/W1512789266","https://openalex.org/W1889440031","https://openalex.org/W1969141996","https://openalex.org/W1990190154","https://openalex.org/W1997189720","https://openalex.org/W2000411838","https://openalex.org/W2002664886","https://openalex.org/W2011329312","https://openalex.org/W2015441003","https://openalex.org/W2022871093","https://openalex.org/W2025356973","https://openalex.org/W2030868605","https://openalex.org/W2046217376","https://openalex.org/W2049534074","https://openalex.org/W2067506377","https://openalex.org/W2070740689","https://openalex.org/W2071780887","https://openalex.org/W2072692647","https://openalex.org/W2074783258","https://openalex.org/W2083745421","https://openalex.org/W2085030399","https://openalex.org/W2108652674","https://openalex.org/W2115913366","https://openalex.org/W2119119231","https://openalex.org/W2128878007","https://openalex.org/W2139621016","https://openalex.org/W2144886574","https://openalex.org/W2145257974","https://openalex.org/W2153267064","https://openalex.org/W2161852686","https://openalex.org/W2168044903","https://openalex.org/W2408275339","https://openalex.org/W3101336246","https://openalex.org/W3144372880","https://openalex.org/W7021264618"],"related_works":["https://openalex.org/W3173084154","https://openalex.org/W2334448532","https://openalex.org/W2982021180","https://openalex.org/W2131563376","https://openalex.org/W2251497876","https://openalex.org/W2241081188","https://openalex.org/W159278796","https://openalex.org/W2128567707","https://openalex.org/W4327499987","https://openalex.org/W2011383762"],"abstract_inverted_index":{"Accurate":[0],"projection":[1,78,138],"of":[2,13,41,58,70,142,151,177],"terms":[3],"in":[4,17],"free-text":[5],"queries":[6],"onto":[7,67,139],"structured":[8,34,143],"entity":[9,18,71,119,144,178],"representations":[10,72,145],"is":[11,79],"one":[12,84],"the":[14,59,68,100,108,126,140,175],"fundamental":[15],"problems":[16],"retrieval":[19,30,38,120,172,179],"from":[20,121,180],"knowledge":[21,122,181],"graphs.":[22],"In":[23],"this":[24,43,96],"paper,":[25],"we":[26,98],"demonstrate":[27],"that":[28,165],"existing":[29],"models":[31,117,173],"for":[32,118,174],"ad-hoc":[33],"and":[35,63,107,153,167],"unstructured":[36],"document":[37],"fall":[39],"short":[40],"addressing":[42],"problem,":[44],"due":[45],"to":[46,51,91],"their":[47],"rigid":[48],"assumptions.":[49],"According":[50],"these":[52],"assumptions,":[53],"either":[54],"all":[55],"query":[56,132],"concepts":[57],"same":[60],"type":[61],"(unigrams":[62],"bigrams)":[64],"are":[65],"projected":[66],"fields":[69,141],"with":[73],"identical":[74],"weights":[75],"or":[76],"such":[77],"determined":[80],"based":[81,146],"only":[82],"on":[83,147,159],"simple":[85],"statistic,":[86],"which":[87,124],"makes":[88],"it":[89],"sensitive":[90],"data":[92],"sparsity.":[93],"To":[94],"address":[95],"issue,":[97],"propose":[99],"Parametrized":[101,109],"Fielded":[102,110],"Sequential":[103],"Dependence":[104,112],"Model":[105,113],"(PFSDM)":[106],"Full":[111],"(PFFDM),":[114],"two":[115],"novel":[116],"graphs,":[123],"infer":[125],"user's":[127],"intent":[128],"behind":[129],"each":[130],"individual":[131],"concept":[133],"by":[134],"dynamically":[135],"estimating":[136],"its":[137],"a":[148],"small":[149],"number":[150],"statistical":[152],"linguistic":[154],"features.":[155],"Experimental":[156],"results":[157],"obtained":[158],"several":[160],"publicly":[161],"available":[162],"benchmarks":[163],"indicate":[164],"PFSDM":[166],"PFFDM":[168],"consistently":[169],"outperform":[170],"state-of-the-art":[171],"task":[176],"graph.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}