{"id":"https://openalex.org/W2189149111","doi":"https://doi.org/10.21437/interspeech.2013-401","title":"Leveraging knowledge graphs for web-scale unsupervised semantic parsing","display_name":"Leveraging knowledge graphs for web-scale unsupervised semantic parsing","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2189149111","doi":"https://doi.org/10.21437/interspeech.2013-401","mag":"2189149111"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2013-401","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","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/A5003679010","display_name":"Larry Heck","orcid":"https://orcid.org/0000-0003-3358-6362"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Larry Heck","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068709817","display_name":"Dilek Hakkani\u2010T\u00fcr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dilek Hakkani-T\u00fcr","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087941479","display_name":"G\u00f6khan T\u00fcr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gokhan Tur","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003679010"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.3709,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98330548,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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/T12016","display_name":"Web Data Mining and Analysis","score":0.9914000034332275,"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":0.8633245229721069},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6822682619094849},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.5157039761543274},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4932789206504822},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4532415270805359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4393211901187897},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43315425515174866},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4300501048564911},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3461930751800537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8633245229721069},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6822682619094849},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.5157039761543274},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4932789206504822},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4532415270805359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4393211901187897},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43315425515174866},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4300501048564911},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3461930751800537},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2013-401","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.702.2599","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.702.2599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/pubs/192962/IS13-Larry.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W648947103","https://openalex.org/W1598782021","https://openalex.org/W1988790447","https://openalex.org/W2022335782","https://openalex.org/W2029341294","https://openalex.org/W2045372110","https://openalex.org/W2066636486","https://openalex.org/W2068547472","https://openalex.org/W2114815699","https://openalex.org/W2120375264","https://openalex.org/W2140724713","https://openalex.org/W2143230354","https://openalex.org/W2147880316","https://openalex.org/W2149309710","https://openalex.org/W2160042006","https://openalex.org/W2166293310"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2083429127","https://openalex.org/W2358855848","https://openalex.org/W2142145894","https://openalex.org/W4381248170","https://openalex.org/W2817971408","https://openalex.org/W3189621521"],"abstract_inverted_index":{"The":[0,121,158,183],"past":[1],"decade":[2],"has":[3],"seen":[4],"the":[5,27,34,82,85,89,101,110,112,117,156,161,166,186],"emergence":[6],"of":[7,124,160,168,170,175,179,181,185],"web-scale":[8,49,131],"structured":[9],"and":[10,62,92,116,172,177],"linked":[11,99],"semantic":[12,19,50,56,136,187,202,204,206],"knowledge":[13,20],"resources":[14,45],"(e.g.,":[15,103],"Freebase,":[16],"DB-Pedia).":[17],"These":[18],"graphs":[21],"provide":[22],"a":[23,30,48,141,151],"scalable":[24],"\u201cschema":[25],"for":[26,33,55],"web\u201d,":[28],"representing":[29],"significant":[31],"opportunity":[32],"spoken":[35],"language":[36,210],"understanding":[37,211],"(SLU)":[38],"research":[39],"community.":[40],"This":[41],"paper":[42],"leverages":[43],"these":[44],"to":[46,100,129,154],"bootstrap":[47,130],"parser":[51],"with":[52,190,197],"no":[53,59,63],"requirement":[54],"schema":[57],"de-sign,":[58],"data":[60,149],"collection,":[61],"manual":[64],"annotations.":[65,199],"Our":[66],"ap-proach":[67],"is":[68,114,119,127,164],"based":[69],"on":[70,147,165],"an":[71,77],"iterative":[72],"graph":[73,90,113],"crawl":[74],"algorithm.":[75],"From":[76],"initial":[78],"seed":[79],"node":[80,102],"(entity-type),":[81],"method":[83,193],"learns":[84],"related":[86],"entity-types":[87],"from":[88,150],"structure,":[91],"automatically":[93],"anno-tates":[94],"documents":[95,126],"that":[96],"can":[97],"be":[98],"Wikipedia":[104],"articles,":[105],"web":[106],"search":[107],"documents).":[108],"Following":[109],"branches,":[111],"crawled":[115],"procedure":[118],"repeated.":[120],"resulting":[122],"collection":[123],"annotated":[125],"used":[128],"conditional":[132],"random":[133],"field":[134],"(CRF)":[135],"parsers.":[137,157],"Finally,":[138],"we":[139],"use":[140],"maximum-a-posteriori":[142],"(MAP)":[143],"unsupervised":[144,162,192],"adapta-tion":[145],"technique":[146],"sample":[148],"specific":[152],"domain":[153],"refine":[155],"scale":[159],"parsers":[163,188],"order":[167],"thousands":[169],"domains":[171],"entity-types,":[173],"millions":[174,180],"entities,":[176],"hundreds":[178],"relations.":[182],"precision-recall":[184],"trained":[189,196],"our":[191],"ap-proaches":[194],"those":[195],"supervised":[198],"Index":[200],"Terms:":[201],"parsing,":[203],"web,":[205],"search,":[207],"dialog,":[208],"natural":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}