{"id":"https://openalex.org/W1966161959","doi":"https://doi.org/10.1109/slt.2014.7078578","title":"Personal knowledge graph population from user utterances in conversational understanding","display_name":"Personal knowledge graph population from user utterances in conversational understanding","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1966161959","doi":"https://doi.org/10.1109/slt.2014.7078578","mag":"1966161959"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2014.7078578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","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/A5100674281","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-6482-2535"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Microsoft Research","New York University"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087941479","display_name":"G\u00f6khan T\u00fcr","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gokhan Tur","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068709817","display_name":"Dilek Hakkani\u2010T\u00fcr","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dilek Hakkani-Tur","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350205","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-3136-2157"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Microsoft Research","Rensselaer Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100674281"],"corresponding_institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.844,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.80123786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"224","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","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/T12031","display_name":"Speech and dialogue systems","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8437089323997498},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5496722459793091},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5397331118583679},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5281094312667847},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5140808820724487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4717344045639038},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46375468373298645},{"id":"https://openalex.org/keywords/assertion","display_name":"Assertion","score":0.45114797353744507},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.42271897196769714},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36642855405807495},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10547319054603577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08718037605285645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8437089323997498},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5496722459793091},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5397331118583679},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5281094312667847},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5140808820724487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4717344045639038},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46375468373298645},{"id":"https://openalex.org/C40422974","wikidata":"https://www.wikidata.org/wiki/Q741248","display_name":"Assertion","level":2,"score":0.45114797353744507},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.42271897196769714},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36642855405807495},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10547319054603577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08718037605285645},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2014.7078578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W147290778","https://openalex.org/W648947103","https://openalex.org/W1517011133","https://openalex.org/W1550863320","https://openalex.org/W1568155371","https://openalex.org/W1574862351","https://openalex.org/W1598782021","https://openalex.org/W1649407914","https://openalex.org/W1936920915","https://openalex.org/W1986992377","https://openalex.org/W1991133427","https://openalex.org/W2043511823","https://openalex.org/W2045372110","https://openalex.org/W2053463056","https://openalex.org/W2068547472","https://openalex.org/W2074818733","https://openalex.org/W2076440176","https://openalex.org/W2082761062","https://openalex.org/W2087347434","https://openalex.org/W2091671846","https://openalex.org/W2093973850","https://openalex.org/W2094472029","https://openalex.org/W2097550833","https://openalex.org/W2098880560","https://openalex.org/W2106629332","https://openalex.org/W2119465010","https://openalex.org/W2119821739","https://openalex.org/W2120375264","https://openalex.org/W2123379364","https://openalex.org/W2124098139","https://openalex.org/W2124895976","https://openalex.org/W2129554061","https://openalex.org/W2140279531","https://openalex.org/W2147880316","https://openalex.org/W2156037541","https://openalex.org/W2160042006","https://openalex.org/W2163040665","https://openalex.org/W2166293310","https://openalex.org/W2171144711","https://openalex.org/W2181629536","https://openalex.org/W2182906802","https://openalex.org/W2183360139","https://openalex.org/W2187008919","https://openalex.org/W2187890897","https://openalex.org/W2189149111","https://openalex.org/W2252219614","https://openalex.org/W2296157284","https://openalex.org/W2397801432","https://openalex.org/W2401642934","https://openalex.org/W2401665284","https://openalex.org/W2407749301","https://openalex.org/W2408372179","https://openalex.org/W2770613891","https://openalex.org/W2915395058","https://openalex.org/W2974986490","https://openalex.org/W4236146727","https://openalex.org/W4239510810","https://openalex.org/W6634328381","https://openalex.org/W6640440542","https://openalex.org/W6677895631","https://openalex.org/W6680672469","https://openalex.org/W6682082992","https://openalex.org/W6683366680","https://openalex.org/W6685530852","https://openalex.org/W6685935978","https://openalex.org/W6686104365","https://openalex.org/W6686147982","https://openalex.org/W6686668185","https://openalex.org/W6691420595","https://openalex.org/W6712850360","https://openalex.org/W6713873268","https://openalex.org/W6714208919","https://openalex.org/W6817586769"],"related_works":["https://openalex.org/W2293063786","https://openalex.org/W2911292476","https://openalex.org/W2367925007","https://openalex.org/W3015724364","https://openalex.org/W4288263119","https://openalex.org/W2967994095","https://openalex.org/W2900126711","https://openalex.org/W4285240985","https://openalex.org/W4225162083","https://openalex.org/W3202115945"],"abstract_inverted_index":{"Knowledge":[0,73],"graphs":[1,17,44,77],"provide":[2],"a":[3,33,96,114],"powerful":[4],"representation":[5],"of":[6,90,123,173,189,205,212],"entities":[7,125],"and":[8,25,61,88,117,180],"the":[9,23,51,56,101,118,128,148,167,174,185,197,203,210],"relationships":[10],"between":[11],"them,":[12,60],"but":[13],"automatically":[14,39],"constructing":[15],"such":[16,65,78],"from":[18,106],"spoken":[19],"language":[20,35,92,111,140],"utterances":[21,150],"presents":[22],"novelty":[24],"numerous":[26],"challenges.":[27],"In":[28],"this":[29,206],"paper,":[30],"we":[31,99],"introduce":[32],"statistical":[34],"understanding":[36,141,200],"approach":[37,208],"to":[38,53,84,108,126,136],"construct":[40],"personal":[41,102,155,168,213],"(user-centric)":[42],"knowledge":[43,214],"in":[45,75],"conversational":[46,199],"dialogs.":[47],"Such":[48],"information":[49],"has":[50,81],"potential":[52],"better":[54,68],"understand":[55],"users'":[57],"requests,":[58],"fulfilling":[59],"enabling":[62],"other":[63],"technologies":[64],"as":[66,79,95],"developing":[67],"inferences":[69],"or":[70,187],"proactive":[71],"interactions.":[72],"encoded":[74],"semantic":[76,86],"Freebase":[80,107],"been":[82],"shown":[83],"benefit":[85],"parsing":[87],"interpretation":[89],"natural":[91,110],"utterances.":[93],"Hence,":[94],"first":[97],"step,":[98],"exploit":[100],"factual":[103],"relation":[104,176],"triples":[105],"mine":[109],"snippets":[112,120],"with":[113,154],"search":[115],"engine,":[116],"resulting":[119],"containing":[121],"pairs":[122],"related":[124],"create":[127],"training":[129],"data.":[130],"This":[131],"data":[132],"is":[133,161],"then":[134],"used":[135],"build":[137],"three":[138],"key":[139],"components:":[142],"(1)":[143],"Personal":[144],"Assertion":[145],"Classification":[146],"identifies":[147],"user":[149],"that":[151],"are":[152],"relevant":[153],"facts,":[156],"e.g.,":[157,178,191],"\u201cmy":[158],"mother's":[159],"name":[160],"Rosa\u201d;":[162],"(2)":[163],"Relation":[164],"Detection":[165],"classifies":[166],"assertion":[169],"utterance":[170],"into":[171],"one":[172],"predefined":[175],"classes,":[177],"\u201cparents\u201d;":[179],"(3)":[181],"Slot":[182],"Filling":[183],"labels":[184],"attributes":[186],"arguments":[188],"relations,":[190],"\u201cname(parents):":[192],"Rosa\u201d.":[193],"Our":[194],"experiments":[195],"using":[196],"Microsoft":[198],"system":[201],"demonstrate":[202],"performance":[204],"proposed":[207],"on":[209],"population":[211],"graphs.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}