{"id":"https://openalex.org/W2556095944","doi":"https://doi.org/10.1109/ijcnn.2016.7727233","title":"Gated Recurrent Neural Tensor Network","display_name":"Gated Recurrent Neural Tensor Network","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2556095944","doi":"https://doi.org/10.1109/ijcnn.2016.7727233","mag":"2556095944"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.02222","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038296765","display_name":"Andros Tjandra","orcid":"https://orcid.org/0000-0003-1246-5908"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Andros Tjandra","raw_affiliation_strings":["Universitas Indonesia, Depok, Jawa Barat, ID"],"affiliations":[{"raw_affiliation_string":"Universitas Indonesia, Depok, Jawa Barat, ID","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040108974","display_name":"Sakriani Sakti","orcid":"https://orcid.org/0000-0001-5509-8963"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sakriani Sakti","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709758","display_name":"Hendra Manurung","orcid":"https://orcid.org/0000-0002-4560-1729"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ruli Manurung","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052754690","display_name":"Mirna Adriani","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mirna Adriani","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020994673","display_name":"Satoshi Nakamura","orcid":"https://orcid.org/0000-0001-6956-3803"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Nakamura","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038296765"],"corresponding_institution_ids":["https://openalex.org/I29617571"],"apc_list":null,"apc_paid":null,"fwci":3.1105,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93273231,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"448","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9896000027656555,"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.9494730234146118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7565854787826538},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5941847562789917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5489280819892883},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.43357133865356445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38800302147865295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11732712388038635}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.9494730234146118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7565854787826538},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5941847562789917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5489280819892883},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.43357133865356445},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38800302147865295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11732712388038635},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.02222","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02222","pdf_url":"https://arxiv.org/pdf/1706.02222","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.02222","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02222","pdf_url":"https://arxiv.org/pdf/1706.02222","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W196214544","https://openalex.org/W1408639475","https://openalex.org/W1423339008","https://openalex.org/W1485981043","https://openalex.org/W1810943226","https://openalex.org/W1815076433","https://openalex.org/W1847088711","https://openalex.org/W1889624880","https://openalex.org/W1899504021","https://openalex.org/W1924770834","https://openalex.org/W1993882792","https://openalex.org/W2005708641","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2108597378","https://openalex.org/W2110485445","https://openalex.org/W2111369166","https://openalex.org/W2118776487","https://openalex.org/W2125930537","https://openalex.org/W2127426251","https://openalex.org/W2130942839","https://openalex.org/W2143612262","https://openalex.org/W2144499799","https://openalex.org/W2146502635","https://openalex.org/W2150355110","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2172126478","https://openalex.org/W2251939518","https://openalex.org/W2399456070","https://openalex.org/W2402268235","https://openalex.org/W2766736793","https://openalex.org/W2953061907","https://openalex.org/W2963455036","https://openalex.org/W2964335273","https://openalex.org/W2998704965","https://openalex.org/W4254816979","https://openalex.org/W4285719527","https://openalex.org/W4297684261","https://openalex.org/W6607333740","https://openalex.org/W6607974698","https://openalex.org/W6628124331","https://openalex.org/W6628131027","https://openalex.org/W6631636882","https://openalex.org/W6638273328","https://openalex.org/W6638545294","https://openalex.org/W6638824847","https://openalex.org/W6639497327","https://openalex.org/W6640212811","https://openalex.org/W6676557066","https://openalex.org/W6677548962","https://openalex.org/W6678818196","https://openalex.org/W6678846912","https://openalex.org/W6679436768","https://openalex.org/W6680532216","https://openalex.org/W6681435938","https://openalex.org/W6682610290","https://openalex.org/W6684191040","https://openalex.org/W6685281986","https://openalex.org/W6691459498","https://openalex.org/W6713098461","https://openalex.org/W6996569244"],"related_works":["https://openalex.org/W2031449089","https://openalex.org/W2112596406","https://openalex.org/W2125499229","https://openalex.org/W4385304246","https://openalex.org/W4387096269","https://openalex.org/W4387096070","https://openalex.org/W2410610877","https://openalex.org/W2072696177","https://openalex.org/W2129483036","https://openalex.org/W2368671581"],"abstract_inverted_index":{"Recurrent":[0,171,195,202,204],"Neural":[1,196,205],"Networks":[2],"(RNNs),":[3],"which":[4,188],"are":[5,189,209],"a":[6,29,43,74,100,116,125,152,179,191],"powerful":[7,30],"scheme":[8],"for":[9],"modeling":[10,39,135,235],"temporal":[11],"and":[12,22,53,82,111,139,143,148,169,175,200,215,232,237],"sequential":[13],"data":[14],"need":[15],"to":[16,32,248],"capture":[17,33],"long-term":[18,40,132],"dependencies":[19,41,133],"on":[20,155,230],"datasets":[21],"represent":[23],"them":[24,177],"in":[25,42],"hidden":[26,59,85,149],"layers":[27,60,150],"with":[28,64,136,178,219,226],"model":[31],"more":[34,65,75,141],"information":[35],"from":[36],"inputs.":[37],"For":[38],"dataset,":[44],"the":[45,58,79,83,106,112,213,220],"gating":[46,109,137],"mechanism":[47,110],"concept":[48],"can":[49,90],"help":[50],"RNNs":[51],"remember":[52],"forget":[54],"previous":[55,84],"information.":[56,87],"Representing":[57],"of":[61,108],"an":[62],"RNN":[63,93,102,168,174,217],"expressive":[66,142],"operations":[67],"(i.e.,":[68],"tensor":[69,113,153,180,221],"products)":[70],"helps":[71],"it":[72],"learn":[73,131],"complex":[76],"relationship":[77],"between":[78,146],"current":[80],"input":[81,147],"layer":[86],"These":[88],"ideas":[89],"generally":[91],"improve":[92],"performances.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"proposed":[99,129,186,228,241],"novel":[101],"architecture":[103],"that":[104,239],"combine":[105,176],"concepts":[107,123],"product":[114,154,181],"into":[115,124],"single":[117,126],"model.":[118],"By":[119],"combining":[120,212],"these":[121],"two":[122],"RNN,":[127],"our":[128,227,240,249],"models":[130,218,229,242],"by":[134,211],"units":[138],"obtain":[140],"direct":[144],"interaction":[145],"using":[151],"3-dimensional":[156],"array":[157],"(tensor)":[158],"weight":[159],"parameters.":[160],"We":[161,223],"use":[162],"Long":[163],"Short":[164],"Term":[165,193],"Memory":[166,194],"(LSTM)":[167],"Gated":[170,201],"Unit":[172,203],"(GRU)":[173],"inside":[182],"their":[183,245],"formulations.":[184],"Our":[185],"RNNs,":[187],"called":[190],"Long-Short":[192],"Tensor":[197,206],"Network":[198,207],"(LSTMRNTN)":[199],"(GRURNTN),":[208],"made":[210],"LSTM":[214],"GRU":[216],"product.":[222],"conducted":[224],"experiments":[225],"word-level":[231],"character-level":[233],"language":[234],"tasks":[236],"revealed":[238],"significantly":[243],"improved":[244],"performance":[246],"compared":[247],"baseline":[250],"models.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
