{"id":"https://openalex.org/W3141398089","doi":"https://doi.org/10.1145/3447248","title":"A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia","display_name":"A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia","publication_year":2021,"publication_date":"2021-03-30","ids":{"openalex":"https://openalex.org/W3141398089","doi":"https://doi.org/10.1145/3447248","mag":"3141398089"},"language":"en","primary_location":{"id":"doi:10.1145/3447248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447248","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information 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/A5101731298","display_name":"Yuan Sun","orcid":"https://orcid.org/0000-0003-0565-9659"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Sun","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052162441","display_name":"Andong Chen","orcid":"https://orcid.org/0009-0004-5354-7090"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Andong Chen","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627369","display_name":"Chaofan Chen","orcid":"https://orcid.org/0000-0002-9250-5887"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofan Chen","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080796418","display_name":"Tianci Xia","orcid":"https://orcid.org/0000-0002-4512-8978"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianci Xia","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773044","display_name":"Xiaobing Zhao","orcid":"https://orcid.org/0000-0003-1217-8650"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Zhao","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145897649"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.04032864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"20","issue":"2","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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/T11719","display_name":"Data Quality and Management","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6987571716308594},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5452244877815247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46711596846580505},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46137794852256775},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4588317275047302},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.443812757730484},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4259123206138611},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.41359880566596985},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3994670510292053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987571716308594},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5452244877815247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46711596846580505},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46137794852256775},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4588317275047302},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.443812757730484},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4259123206138611},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.41359880566596985},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3994670510292053}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447248","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G2380328203","display_name":"\u57fa\u4e8e\u8868\u793a\u5b66\u4e60\u548c\u751f\u6210\u5bf9\u6297\u7f51\u7edc\u7684\u85cf\u6587\u77e5\u8bc6\u5e93\u95ee\u7b54\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61972436","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W143521272","https://openalex.org/W1552847225","https://openalex.org/W1614298861","https://openalex.org/W2022166150","https://openalex.org/W2029915058","https://openalex.org/W2073587810","https://openalex.org/W2090288396","https://openalex.org/W2094728533","https://openalex.org/W2100341149","https://openalex.org/W2155454737","https://openalex.org/W2163922914","https://openalex.org/W2243512948","https://openalex.org/W2249040818","https://openalex.org/W2250342289","https://openalex.org/W2250807343","https://openalex.org/W2251182116","https://openalex.org/W2251622960","https://openalex.org/W2312621835","https://openalex.org/W2378366399","https://openalex.org/W2513378248","https://openalex.org/W2514852614","https://openalex.org/W2612560781","https://openalex.org/W2951077644","https://openalex.org/W2991321929","https://openalex.org/W4231109964","https://openalex.org/W4236703367"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2808284704","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"Learning":[0],"the":[1,10,29,57,63,66,79,83,101,113,130,143,148],"representation":[2,80,141],"of":[3,12,20,51,65,73,82,142],"a":[4,18,42,89,139],"knowledge":[5,24,39,53,59,69,85,145],"graph":[6,25,60,146],"is":[7,17,41],"critical":[8],"to":[9,36,92,111,122],"field":[11],"natural":[13],"language":[14,68],"processing.":[15],"There":[16],"lot":[19],"research":[21],"for":[22,28],"English":[23],"representation.":[26],"However,":[27],"low-resource":[30],"languages,":[31],"such":[32],"as":[33],"Tibetan,":[34],"how":[35],"represent":[37],"sparse":[38],"graphs":[40,70],"key":[43],"problem.":[44],"In":[45,109],"this":[46],"article,":[47],"aiming":[48],"at":[49],"scarcity":[50],"Tibetan":[52,58,84,144],"graphs,":[54],"we":[55,87,116],"extend":[56],"by":[61],"using":[62],"triples":[64],"high-resource":[67],"and":[71,95,104,119],"Point":[72],"Information":[74],"map":[75],"information.":[76],"To":[77],"improve":[78],"learning":[81],"graph,":[86],"propose":[88],"joint":[90],"model":[91,136],"merge":[93],"structure":[94],"entity":[96],"description":[97],"information":[98,126],"based":[99],"on":[100],"Translating":[102],"Embeddings":[103],"Convolution":[105],"Neural":[106],"Networks":[107],"models.":[108],"addition,":[110],"solve":[112],"segmentation":[114],"errors,":[115],"use":[117],"character":[118],"word":[120],"embedding":[121],"learn":[123],"more":[124],"complex":[125],"in":[127],"Tibetan.":[128],"Finally,":[129],"experimental":[131],"results":[132],"show":[133],"that":[134],"our":[135],"can":[137],"make":[138],"better":[140],"than":[147],"baseline.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
