{"id":"https://openalex.org/W2557752243","doi":"https://doi.org/10.1109/taslp.2016.2635445","title":"Personalizing Recurrent-Neural-Network-Based Language Model by Social Network","display_name":"Personalizing Recurrent-Neural-Network-Based Language Model by Social Network","publication_year":2016,"publication_date":"2016-12-02","ids":{"openalex":"https://openalex.org/W2557752243","doi":"https://doi.org/10.1109/taslp.2016.2635445","mag":"2557752243"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2016.2635445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2635445","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5040508737","display_name":"Hung-yi Lee","orcid":"https://orcid.org/0000-0002-9654-5747"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Yi Lee","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039215196","display_name":"Bo-Hsiang Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Hsiang Tseng","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100547702","display_name":"Tsung-Hsien Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tsung-Hsien Wen","raw_affiliation_strings":["University of Cambridge, Cambridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044008055","display_name":"Yu Tsao","orcid":"https://orcid.org/0000-0001-6956-0418"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu Tsao","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0634,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96494034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"3","first_page":"519","last_page":"530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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":0.9983000159263611,"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":0.9952999949455261,"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/perplexity","display_name":"Perplexity","score":0.9125387668609619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8927629590034485},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.821479320526123},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7655341625213623},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6141930818557739},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.612145721912384},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5269193053245544},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5218799710273743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.460924357175827},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44485655426979065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40947651863098145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3843512237071991},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23135820031166077}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9125387668609619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8927629590034485},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.821479320526123},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7655341625213623},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6141930818557739},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.612145721912384},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5269193053245544},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5218799710273743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.460924357175827},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44485655426979065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40947651863098145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3843512237071991},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23135820031166077},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2016.2635445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2635445","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G344216615","display_name":null,"funder_award_id":"104-2218-E-002-021-MY2","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W14175539","https://openalex.org/W26405188","https://openalex.org/W140816929","https://openalex.org/W170853248","https://openalex.org/W177101540","https://openalex.org/W179875071","https://openalex.org/W194986311","https://openalex.org/W1511283908","https://openalex.org/W1543082528","https://openalex.org/W1601018556","https://openalex.org/W1631260214","https://openalex.org/W1797288984","https://openalex.org/W1880262756","https://openalex.org/W1905966190","https://openalex.org/W1971111363","https://openalex.org/W1985258458","https://openalex.org/W1989705153","https://openalex.org/W1990576211","https://openalex.org/W1996903695","https://openalex.org/W1999965501","https://openalex.org/W2015633636","https://openalex.org/W2020073413","https://openalex.org/W2020740057","https://openalex.org/W2026091747","https://openalex.org/W2054141820","https://openalex.org/W2076006872","https://openalex.org/W2079623482","https://openalex.org/W2094035326","https://openalex.org/W2094395815","https://openalex.org/W2096610504","https://openalex.org/W2100969003","https://openalex.org/W2105359808","https://openalex.org/W2108168165","https://openalex.org/W2111741330","https://openalex.org/W2112874453","https://openalex.org/W2114858359","https://openalex.org/W2115205574","https://openalex.org/W2121227244","https://openalex.org/W2127602683","https://openalex.org/W2127836646","https://openalex.org/W2130437494","https://openalex.org/W2143719855","https://openalex.org/W2145989470","https://openalex.org/W2146871184","https://openalex.org/W2147823173","https://openalex.org/W2148931622","https://openalex.org/W2160792936","https://openalex.org/W2160815625","https://openalex.org/W2167032986","https://openalex.org/W2171928131","https://openalex.org/W2173880944","https://openalex.org/W2252235528","https://openalex.org/W2288562201","https://openalex.org/W2294684023","https://openalex.org/W2345190899","https://openalex.org/W2396251197","https://openalex.org/W2403947200","https://openalex.org/W2405047074","https://openalex.org/W2474824677","https://openalex.org/W2496955520","https://openalex.org/W2998704965","https://openalex.org/W3100470924","https://openalex.org/W4231510805","https://openalex.org/W4285719527","https://openalex.org/W6601083597","https://openalex.org/W6605768127","https://openalex.org/W6606998934","https://openalex.org/W6607056340","https://openalex.org/W6607333740","https://openalex.org/W6608016801","https://openalex.org/W6635919936","https://openalex.org/W6636811518","https://openalex.org/W6638218882","https://openalex.org/W6639619044","https://openalex.org/W6639899556","https://openalex.org/W6678277124","https://openalex.org/W6680532216","https://openalex.org/W6685222379","https://openalex.org/W6696969224","https://openalex.org/W6711881997","https://openalex.org/W6713736167"],"related_works":["https://openalex.org/W2610308580","https://openalex.org/W2169518243","https://openalex.org/W2252095989","https://openalex.org/W4322096525","https://openalex.org/W2551914602","https://openalex.org/W4281893144","https://openalex.org/W4287323699","https://openalex.org/W2105076537","https://openalex.org/W2084531783","https://openalex.org/W2902731467"],"abstract_inverted_index":{"With":[0],"the":[1,39,42,67,95,105,122,139,148,151,160,176],"popularity":[2],"of":[3,41,66,97],"mobile":[4,19],"devices,":[5],"personalized":[6,34,72,168],"speech":[7],"recognizers":[8],"have":[9,32],"become":[10],"more":[11],"attainable":[12],"and":[13,101,114,142],"are":[14,112,125,155,164],"highly":[15],"attractive.":[16],"Since":[17],"each":[18],"device":[20],"is":[21,29],"used":[22],"primarily":[23],"by":[24,133,138],"a":[25,33,79],"single":[26],"user,":[27],"it":[28],"possible":[30],"to":[31,127],"recognizer":[35],"that":[36],"well":[37],"matches":[38],"characteristics":[40],"individual":[43,99,129],"user.":[44],"Although":[45],"acoustic":[46],"model":[47,153,177],"personalization":[48],"has":[49,57],"been":[50,58],"investigated":[51],"for":[52,82,110],"decades,":[53],"much":[54],"less":[55],"work":[56],"reported":[59],"on":[60],"personalizing":[61,83],"language":[62,85],"models,":[63],"presumably":[64],"because":[65],"difficulties":[68],"in":[69,186],"collecting":[70],"sufficient":[71],"corpora.":[73],"In":[74,118],"this":[75,111],"paper,":[76],"we":[77],"propose":[78],"general":[80],"framework":[81],"recurrent-neural-network-based":[84],"models":[86],"(RNNLMs)":[87],"using":[88],"data":[89],"collected":[90],"from":[91],"social":[92,135],"networks,":[93],"including":[94],"posts":[96],"many":[98],"users":[100],"friend":[102],"relationships":[103],"among":[104],"users.":[106],"Two":[107],"major":[108],"directions":[109],"model-based":[113,119],"feature-based":[115,149],"RNNLM":[116,120,123,152,161],"personalization.":[117],"personalization,":[121],"parameters":[124,154],"fine-tuned":[126],"an":[128],"user's":[130],"wording":[131],"patterns":[132],"incorporating":[134],"texts":[136],"posted":[137],"target":[140],"user":[141],"his":[143],"or":[144],"her":[145],"friends.":[146],"For":[147],"approach,":[150],"fixed":[156],"across":[157],"users,":[158],"but":[159,179],"input":[162],"features":[163],"instead":[165],"augmented":[166],"with":[167],"information.":[169],"Both":[170],"approaches":[171],"not":[172],"only":[173],"drastically":[174],"reduce":[175,182],"perplexity,":[178],"also":[180],"moderately":[181],"word":[183],"error":[184],"rates":[185],"n-best":[187],"rescoring":[188],"tests.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}