{"id":"https://openalex.org/W2970578271","doi":"https://doi.org/10.18653/v1/d19-1024","title":"Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion","display_name":"Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970578271","doi":"https://doi.org/10.18653/v1/d19-1024","mag":"2970578271"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1024","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1024","pdf_url":"https://www.aclweb.org/anthology/D19-1024.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1024.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100413085","display_name":"Zihao Wang","orcid":"https://orcid.org/0000-0002-3919-0396"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Wang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110721023","display_name":"Kwun-Ping Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kwunping Lai","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061435467","display_name":"Piji Li","orcid":"https://orcid.org/0000-0003-1474-3692"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Piji Li","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086674741","display_name":"Lidong Bing","orcid":"https://orcid.org/0000-0003-4565-6313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lidong Bing","raw_affiliation_strings":["R&D Center Singapore, Machine Intelligence Technology, Alibaba DAMO Academy"],"affiliations":[{"raw_affiliation_string":"R&D Center Singapore, Machine Intelligence Technology, Alibaba DAMO Academy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018582154","display_name":"Wai Lam","orcid":"https://orcid.org/0000-0001-5479-377X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wai Lam","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100413085"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.8202,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.8913548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"250","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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":0.998199999332428,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.725532054901123},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6360211372375488},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5909571647644043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5142240524291992},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4419035017490387},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4417405128479004},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24563312530517578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725532054901123},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6360211372375488},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5909571647644043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142240524291992},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4419035017490387},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4417405128479004},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24563312530517578}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1024","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1024","pdf_url":"https://www.aclweb.org/anthology/D19-1024.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1024","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1024","pdf_url":"https://www.aclweb.org/anthology/D19-1024.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970578271.pdf","grobid_xml":"https://content.openalex.org/works/W2970578271.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1552847225","https://openalex.org/W2080133951","https://openalex.org/W2091118421","https://openalex.org/W2094728533","https://openalex.org/W2099471712","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2188365844","https://openalex.org/W2250308783","https://openalex.org/W2250635077","https://openalex.org/W2250807343","https://openalex.org/W2251079237","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2472819217","https://openalex.org/W2499696929","https://openalex.org/W2502312327","https://openalex.org/W2527569769","https://openalex.org/W2581887665","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2604777655","https://openalex.org/W2774837955","https://openalex.org/W2787501667","https://openalex.org/W2795900505","https://openalex.org/W2808498263","https://openalex.org/W2889234142","https://openalex.org/W2908804015","https://openalex.org/W2951326654","https://openalex.org/W2963041663","https://openalex.org/W2963099332","https://openalex.org/W2963396138","https://openalex.org/W2963403868","https://openalex.org/W2963845150","https://openalex.org/W2963872594","https://openalex.org/W2963942586","https://openalex.org/W2964046515","https://openalex.org/W2964121744","https://openalex.org/W2964249870","https://openalex.org/W3099387504","https://openalex.org/W4294646197","https://openalex.org/W4320013936","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W3204019825","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Zihao":[0],"Wang,":[1],"Kwunping":[2],"Lai,":[3],"Piji":[4],"Li,":[5],"Lidong":[6],"Bing,":[7],"Wai":[8],"Lam.":[9],"Proceedings":[10],"of":[11],"the":[12,23],"2019":[13],"Conference":[14,27],"on":[15,28],"Empirical":[16],"Methods":[17],"in":[18],"Natural":[19,29],"Language":[20,30],"Processing":[21,31],"and":[22],"9th":[24],"International":[25],"Joint":[26],"(EMNLP-IJCNLP).":[32],"2019.":[33]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}