{"id":"https://openalex.org/W2798585713","doi":"https://doi.org/10.18653/v1/p18-1147","title":"Discovering Implicit Knowledge with Unary Relations","display_name":"Discovering Implicit Knowledge with Unary Relations","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798585713","doi":"https://doi.org/10.18653/v1/p18-1147","mag":"2798585713"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1147","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1147","pdf_url":"https://www.aclweb.org/anthology/P18-1147.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 1: Long 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/P18-1147.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079135719","display_name":"Michael Gla\u00df","orcid":"https://orcid.org/0000-0002-8006-8843"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michael Glass","raw_affiliation_strings":["IBM Research AI Knowledge Induction and Reasoning"],"affiliations":[{"raw_affiliation_string":"IBM Research AI Knowledge Induction and Reasoning","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087419620","display_name":"Alfio Gliozzo","orcid":"https://orcid.org/0000-0002-8044-2911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alfio Gliozzo","raw_affiliation_strings":["IBM Research AI Knowledge Induction and Reasoning"],"affiliations":[{"raw_affiliation_string":"IBM Research AI Knowledge Induction and Reasoning","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079135719"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75847389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1585","last_page":"1594"},"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":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9973999857902527,"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/unary-operation","display_name":"Unary operation","score":0.8204604387283325},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.8009395003318787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7150930166244507},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.7137259244918823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.590758204460144},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5709168910980225},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5600437521934509},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5205008387565613},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5001862049102783},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46685272455215454},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.45360952615737915},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4531427323818207},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3249412178993225},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3219342827796936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24230840802192688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1497611105442047},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.06808081269264221}],"concepts":[{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.8204604387283325},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.8009395003318787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150930166244507},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.7137259244918823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.590758204460144},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5709168910980225},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5600437521934509},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5205008387565613},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5001862049102783},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46685272455215454},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.45360952615737915},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4531427323818207},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3249412178993225},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3219342827796936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24230840802192688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1497611105442047},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.06808081269264221},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-1147","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1147","pdf_url":"https://www.aclweb.org/anthology/P18-1147.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 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1147","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1147","pdf_url":"https://www.aclweb.org/anthology/P18-1147.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 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798585713.pdf","grobid_xml":"https://content.openalex.org/works/W2798585713.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W174427690","https://openalex.org/W1604644367","https://openalex.org/W1849277567","https://openalex.org/W1852412531","https://openalex.org/W2107598941","https://openalex.org/W2136134253","https://openalex.org/W2153579005","https://openalex.org/W2250521169","https://openalex.org/W2251135946","https://openalex.org/W2510759893","https://openalex.org/W2513378248","https://openalex.org/W2515462165","https://openalex.org/W2526662185","https://openalex.org/W2572487292","https://openalex.org/W2612364175","https://openalex.org/W2805259170","https://openalex.org/W2805996706","https://openalex.org/W2917458986","https://openalex.org/W2962851944","https://openalex.org/W2963454301","https://openalex.org/W2964217331","https://openalex.org/W2964349647","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2805262146","https://openalex.org/W4379517534","https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2369351710","https://openalex.org/W2594363579"],"abstract_inverted_index":{"State-of-the-art":[0],"relation":[1,114],"extraction":[2,115],"approaches":[3],"are":[4,33],"only":[5],"able":[6,89],"to":[7,23,60,79,90,130],"recognize":[8],"relationships":[9],"between":[10,63],"mentions":[11],"of":[12,31,67,73,93,111],"entity":[13],"arguments":[14],"stated":[15],"explicitly":[16],"in":[17],"the":[18,24,28,112,131],"text":[19],"and":[20,76],"typically":[21],"localized":[22],"same":[25],"sentence.":[26],"However,":[27],"vast":[29],"majority":[30],"relations":[32,62,95],"either":[34],"implicit":[35],"or":[36],"not":[37],"sententially":[38],"localized.":[39],"This":[40],"is":[41],"a":[42,57,69,85,100,118],"major":[43],"problem":[44],"for":[45],"Knowledge":[46],"Base":[47],"Population,":[48],"severely":[49],"limiting":[50],"recall.":[51],"In":[52],"this":[53],"paper":[54],"we":[55,128],"propose":[56],"new":[58],"methodology":[59],"identify":[61],"two":[64],"entities,":[65],"consisting":[66],"detecting":[68],"very":[70,96],"large":[71],"number":[72],"unary":[74],"relations,":[75],"using":[77,99],"them":[78],"infer":[80],"missing":[81],"entities.":[82],"We":[83],"describe":[84],"deep":[86,102],"learning":[87,103],"architecture":[88],"learn":[91],"thousands":[92],"such":[94],"efficiently":[97],"by":[98],"common":[101],"based":[104],"representation.":[105],"Our":[106],"approach":[107],"largely":[108],"outperforms":[109],"state":[110],"art":[113],"technology":[116],"on":[117],"newly":[119],"introduced":[120],"web":[121],"scale":[122],"knowledge":[123],"base":[124],"population":[125],"benchmark,":[126],"that":[127],"release":[129],"research":[132],"community.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}