{"id":"https://openalex.org/W2468628149","doi":"https://doi.org/10.18653/v1/k16-1005","title":"Neighborhood Mixture Model for Knowledge Base Completion","display_name":"Neighborhood Mixture Model for Knowledge Base Completion","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2468628149","doi":"https://doi.org/10.18653/v1/k16-1005","mag":"2468628149"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k16-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1005","pdf_url":"https://www.aclweb.org/anthology/K16-1005.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K16-1005.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063933953","display_name":"Dat Quoc Nguyen","orcid":"https://orcid.org/0000-0001-8214-2878"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dat Quoc Nguyen","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035358986","display_name":"Kairit Sirts","orcid":"https://orcid.org/0000-0001-7388-2583"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kairit Sirts","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008486397","display_name":"Lizhen Qu","orcid":"https://orcid.org/0000-0002-7764-431X"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lizhen Qu","raw_affiliation_strings":["Data61 & Australian National University"],"affiliations":[{"raw_affiliation_string":"Data61 & Australian National University","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034461489","display_name":"Mark Johnson","orcid":"https://orcid.org/0000-0003-4809-8441"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mark Johnson","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063933953"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":11.043,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.98326034,"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":"40","last_page":"50"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9972000122070312,"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/knowledge-base","display_name":"Knowledge base","score":0.7945327758789062},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.734211802482605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7284150719642639},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6865445375442505},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.6381493806838989},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6070829629898071},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.554873526096344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5205870270729065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43411290645599365},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.4170127213001251},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3951157331466675},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36461031436920166},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3548091650009155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15539824962615967}],"concepts":[{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.7945327758789062},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.734211802482605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284150719642639},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6865445375442505},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.6381493806838989},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6070829629898071},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.554873526096344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5205870270729065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43411290645599365},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.4170127213001251},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3951157331466675},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36461031436920166},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3548091650009155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15539824962615967},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/k16-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1005","pdf_url":"https://www.aclweb.org/anthology/K16-1005.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1606.06461","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1606.06461","pdf_url":"https://arxiv.org/pdf/1606.06461","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":"doi:10.18653/v1/k16-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1005","pdf_url":"https://www.aclweb.org/anthology/K16-1005.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5336997834","display_name":"Improved syntactic and semantic analysis for natural language processing","funder_award_id":"DP160102156","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6194240451","display_name":"National ICT Australia","funder_award_id":"NICTA","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2468628149.pdf","grobid_xml":"https://content.openalex.org/works/W2468628149.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W68132019","https://openalex.org/W205829674","https://openalex.org/W614875374","https://openalex.org/W1426956448","https://openalex.org/W1512387364","https://openalex.org/W1529533208","https://openalex.org/W1533230146","https://openalex.org/W1552847225","https://openalex.org/W1857954288","https://openalex.org/W1934264538","https://openalex.org/W2022166150","https://openalex.org/W2051434435","https://openalex.org/W2073587810","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2101802482","https://openalex.org/W2101848544","https://openalex.org/W2127345773","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2128407051","https://openalex.org/W2141599568","https://openalex.org/W2145544171","https://openalex.org/W2146502635","https://openalex.org/W2184957013","https://openalex.org/W2226877337","https://openalex.org/W2247119764","https://openalex.org/W2250342289","https://openalex.org/W2250376704","https://openalex.org/W2250539671","https://openalex.org/W2250601658","https://openalex.org/W2250911766","https://openalex.org/W2251363251","https://openalex.org/W2283196293","https://openalex.org/W2340448811","https://openalex.org/W2432356473","https://openalex.org/W2433281745","https://openalex.org/W2460319482","https://openalex.org/W2460423734","https://openalex.org/W2508664155","https://openalex.org/W2514852614","https://openalex.org/W2561222886","https://openalex.org/W2571811098","https://openalex.org/W2585270596","https://openalex.org/W2949972983","https://openalex.org/W2951045955","https://openalex.org/W2951131188","https://openalex.org/W2952155763","https://openalex.org/W2952558995","https://openalex.org/W2963380480","https://openalex.org/W2963503534","https://openalex.org/W2963534707","https://openalex.org/W2964152081","https://openalex.org/W3101896416","https://openalex.org/W4300062145","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W85029034","https://openalex.org/W3182020042","https://openalex.org/W2385713529","https://openalex.org/W4237775755","https://openalex.org/W2599749361","https://openalex.org/W2355172082","https://openalex.org/W1580667900","https://openalex.org/W1979978247","https://openalex.org/W2102929690","https://openalex.org/W2160911376"],"abstract_inverted_index":{"Knowledge":[0],"bases":[1],"are":[2,13],"useful":[3],"resources":[4],"for":[5,45,80],"many":[6],"natural":[7],"language":[8],"processing":[9],"tasks,":[10],"however,":[11],"they":[12],"far":[14],"from":[15],"complete.":[16],"In":[17],"this":[18,38],"paper,":[19],"we":[20],"define":[21],"a":[22,27],"novel":[23],"entity":[24,83],"representation":[25],"as":[26],"mixture":[28],"of":[29,62],"its":[30],"neighborhood":[31,54],"in":[32],"the":[33,53,60,63],"knowledge":[34,46],"base":[35,47],"and":[36,85],"apply":[37],"technique":[39],"on":[40,76],"TransE-a":[41],"well-known":[42],"embedding":[43,74],"model":[44],"completion.":[48],"Experimental":[49],"results":[50,61],"show":[51],"that":[52],"information":[55],"significantly":[56],"helps":[57],"to":[58,66],"improve":[59],"TransE,":[64],"leading":[65],"better":[67],"performance":[68],"than":[69],"obtained":[70],"by":[71],"other":[72],"state-of-the-art":[73],"models":[75],"three":[77],"benchmark":[78],"datasets":[79],"triple":[81],"classification,":[82],"prediction":[84,87],"relation":[86],"tasks.":[88]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
