{"id":"https://openalex.org/W2514254424","doi":"https://doi.org/10.1109/icis.2016.7550883","title":"Cross-lingual link prediction using multimodal relational topic models","display_name":"Cross-lingual link prediction using multimodal relational topic models","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2514254424","doi":"https://doi.org/10.1109/icis.2016.7550883","mag":"2514254424"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2016.7550883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","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/A5053623887","display_name":"Yosuke Sakata","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yosuke Sakata","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Nada-ku, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Nada-ku, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103291241","display_name":"Koji Eguchi","orcid":"https://orcid.org/0009-0004-6743-2972"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koji Eguchi","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Nada-ku, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Nada-ku, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053623887"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78720459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9943000078201294,"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/discriminative-model","display_name":"Discriminative model","score":0.8031264543533325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7743673324584961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5765684843063354},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5453989505767822},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4405294358730316},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4235588610172272},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3543207049369812}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8031264543533325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7743673324584961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5765684843063354},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5453989505767822},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4405294358730316},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4235588610172272},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3543207049369812},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2016.7550883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W140573599","https://openalex.org/W1605873790","https://openalex.org/W1880262756","https://openalex.org/W2001082470","https://openalex.org/W2033593667","https://openalex.org/W2098401485","https://openalex.org/W2099878672","https://openalex.org/W2101101940","https://openalex.org/W2107743791","https://openalex.org/W2123549998","https://openalex.org/W2145677303","https://openalex.org/W2158535911","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W6605753759","https://openalex.org/W6639619044","https://openalex.org/W6678337573","https://openalex.org/W6683315907"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2110523656"],"abstract_inverted_index":{"There":[0],"are":[1],"increasing":[2],"demands":[3],"for":[4,25,46],"improved":[5],"analysis":[6],"of":[7,12,54,64],"multimodal":[8,28,55,62],"data":[9,29],"that":[10,82,104],"consist":[11],"multiple":[13,52],"representations,":[14],"such":[15,27],"as":[16,60],"multilingual":[17,80,89,109],"documents":[18,81],"and":[19,91],"text-annotated":[20],"images.":[21],"One":[22],"promising":[23],"approach":[24],"analyzing":[26],"is":[30],"latent":[31],"topic":[32,43,67,72],"models.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"propose":[38],"conditionally":[39],"independent":[40],"generalized":[41,70],"relational":[42,66,71],"models":[44,68,73,103],"(CI-gRTM)":[45],"predicting":[47],"unknown":[48],"relations":[49,92],"across":[50],"different":[51,95],"representations":[53,90,97,110],"data.":[56],"We":[57,75],"developed":[58],"CI-gRTM":[59,83],"a":[61],"extension":[63],"discriminative":[65],"called":[69],"(gRTM).":[74],"demonstrated":[76],"through":[77],"experiments":[78],"with":[79,99],"can":[84],"more":[85],"effectively":[86],"predict":[87,107],"both":[88],"between":[93],"two":[94],"language":[96],"compared":[98],"several":[100],"state-of-the-art":[101],"baseline":[102],"enable":[105],"to":[106],"either":[108],"or":[111],"unimodal":[112],"relations.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
