{"id":"https://openalex.org/W2798459480","doi":"https://doi.org/10.18653/v1/p18-2013","title":"Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision","display_name":"Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798459480","doi":"https://doi.org/10.18653/v1/p18-2013","mag":"2798459480"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-2013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2013","pdf_url":"https://www.aclweb.org/anthology/P18-2013.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-2013.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107246163","display_name":"Prachi Jain","orcid":"https://orcid.org/0000-0002-8017-5390"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prachi Jain","raw_affiliation_strings":["Indian Institute of Technology, Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747926","display_name":"Pankaj Kumar","orcid":"https://orcid.org/0000-0001-5401-8482"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pankaj Kumar","raw_affiliation_strings":["Indian Institute of Technology, Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042262991","display_name":"Mausam Mausam","orcid":"https://orcid.org/0000-0003-4088-4296"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mausam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457009","display_name":"Soumen Chakrabarti","orcid":"https://orcid.org/0000-0002-9419-7486"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumen Chakrabarti","raw_affiliation_strings":["Indian Institute of Technology, Bombay","Indian Institute of Technology, Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Indian Institute of Technology, Delhi","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107246163"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":5.081,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.9617571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"80"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983000159263611,"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/inference","display_name":"Inference","score":0.7650123238563538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463549971580505},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.7215447425842285},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6983404755592346},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5633153319358826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5323361158370972},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5267100930213928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4329821467399597},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.41677162051200867},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39378291368484497},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3805224299430847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35362330079078674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18823212385177612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17872467637062073}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7650123238563538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463549971580505},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.7215447425842285},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6983404755592346},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5633153319358826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5323361158370972},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5267100930213928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4329821467399597},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.41677162051200867},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39378291368484497},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3805224299430847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35362330079078674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18823212385177612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17872467637062073},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-2013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2013","pdf_url":"https://www.aclweb.org/anthology/P18-2013.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-2013","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2013","pdf_url":"https://www.aclweb.org/anthology/P18-2013.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320324473","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798459480.pdf","grobid_xml":"https://content.openalex.org/works/W2798459480.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W1699691160","https://openalex.org/W1852412531","https://openalex.org/W2094728533","https://openalex.org/W2127795553","https://openalex.org/W2138615112","https://openalex.org/W2145544171","https://openalex.org/W2226877337","https://openalex.org/W2250184916","https://openalex.org/W2250635077","https://openalex.org/W2250911766","https://openalex.org/W2432356473","https://openalex.org/W2460738833","https://openalex.org/W2572179331","https://openalex.org/W2728059831","https://openalex.org/W2798442412","https://openalex.org/W2807782132","https://openalex.org/W2949972983","https://openalex.org/W2950895672","https://openalex.org/W2963359213","https://openalex.org/W2963429666","https://openalex.org/W2963432357","https://openalex.org/W2964116313"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W2950281908","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W2055243143","https://openalex.org/W2583828359","https://openalex.org/W2963117165","https://openalex.org/W2385713529","https://openalex.org/W1850639582","https://openalex.org/W2599749361"],"abstract_inverted_index":{"State-of-the-art":[0],"knowledge":[1],"base":[2,50,84],"completion":[3],"(KBC)":[4],"models":[5,98],"predict":[6,110],"a":[7,16,64,71],"score":[8],"for":[9],"every":[10],"known":[11],"or":[12],"unknown":[13],"fact":[14],"via":[15],"latent":[17,102],"factorization":[18,51],"over":[19,83],"entity":[20,33],"and":[21,59,86,106],"relation":[22],"embeddings.":[23],"We":[24],"observe":[25],"that":[26,35,96],"when":[27],"they":[28,30],"fail,":[29],"often":[31],"make":[32],"predictions":[34],"are":[36],"incompatible":[37],"with":[38,52],"the":[39,43,61,101,115],"type":[40,72],"required":[41],"by":[42,118],"relation.":[44],"In":[45],"response,":[46],"we":[47],"enhance":[48],"each":[49],"two":[53],"type-compatibility":[54],"terms":[55],"between":[56],"entityrelation":[57],"pairs,":[58],"combine":[60],"signals":[62],"in":[63],"novel":[65],"manner.":[66],"Without":[67],"explicit":[68],"supervision":[69],"from":[70],"catalog,":[73],"our":[74,97],"proposed":[75],"modification":[76],"obtains":[77],"up":[78],"to":[79],"7%":[80],"MRR":[81],"gains":[82],"models,":[85],"new":[87],"state-of-the-art":[88],"results":[89],"on":[90],"several":[91],"datasets.":[92],"Further":[93],"analysis":[94],"reveals":[95],"better":[99,113],"represent":[100],"types":[103,112],"of":[104],"entities":[105],"their":[107],"embeddings":[108,116],"also":[109],"supervised":[111],"than":[114],"learned":[117],"baseline":[119],"models.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-02T06:04:40.494371","created_date":"2025-10-10T00:00:00"}