{"id":"https://openalex.org/W2152135319","doi":"https://doi.org/10.3115/v1/d14-1038","title":"ReNoun: Fact Extraction for Nominal Attributes","display_name":"ReNoun: Fact Extraction for Nominal Attributes","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2152135319","doi":"https://doi.org/10.3115/v1/d14-1038","mag":"2152135319"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1038","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1038","pdf_url":"https://aclanthology.org/D14-1038.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D14-1038.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087929673","display_name":"Mohamed Yahya","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Mohamed Yahya","raw_affiliation_strings":["Max Planck Institute for Informatics","Google Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012631773","display_name":"Steven Euijong Whang","orcid":"https://orcid.org/0000-0001-6419-931X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Steven Whang","raw_affiliation_strings":["Max Planck Institute for Informatics","Google Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075937808","display_name":"Rahul Gupta","orcid":"https://orcid.org/0000-0002-9277-3718"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Rahul Gupta","raw_affiliation_strings":["Google Research","Max Planck Institute for Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Max Planck Institute for Informatics","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067621853","display_name":"Alon Halevy","orcid":"https://orcid.org/0000-0002-8717-7356"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Alon Halevy","raw_affiliation_strings":["Max Planck Institute for Informatics","Google Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.6873,"has_fulltext":true,"cited_by_count":98,"citation_normalized_percentile":{"value":0.98721827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"325","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9994999766349792,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9994000196456909,"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":0.8352153301239014},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6681004166603088},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6664308309555054},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.66432785987854},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6052324771881104},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5889832973480225},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5703771114349365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49835205078125},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.476777583360672},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.42116469144821167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8352153301239014},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6681004166603088},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6664308309555054},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.66432785987854},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6052324771881104},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5889832973480225},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5703771114349365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49835205078125},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.476777583360672},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.42116469144821167},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/v1/d14-1038","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1038","pdf_url":"https://aclanthology.org/D14-1038.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.683.7923","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.683.7923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://emnlp2014.org/papers/pdf/EMNLP2014038.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.7042","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.7042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D14/D14-1038.pdf","raw_type":"text"},{"id":"pmh:oai:escidoc.org:escidoc:2069525","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0024-2589-7","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1038","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1038","pdf_url":"https://aclanthology.org/D14-1038.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2152135319.pdf","grobid_xml":"https://content.openalex.org/works/W2152135319.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W90502410","https://openalex.org/W102708294","https://openalex.org/W1493490255","https://openalex.org/W1508977358","https://openalex.org/W1529731474","https://openalex.org/W1614298861","https://openalex.org/W1971217926","https://openalex.org/W2045495924","https://openalex.org/W2051593977","https://openalex.org/W2094625154","https://openalex.org/W2094728533","https://openalex.org/W2107598941","https://openalex.org/W2108223890","https://openalex.org/W2127978399","https://openalex.org/W2129842875","https://openalex.org/W2139354869","https://openalex.org/W2144886574","https://openalex.org/W2151803977","https://openalex.org/W2155287833","https://openalex.org/W2156233801","https://openalex.org/W2161494021","https://openalex.org/W2167187514","https://openalex.org/W2403542349","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W2602782736","https://openalex.org/W2412460268","https://openalex.org/W2007682798","https://openalex.org/W2376574096","https://openalex.org/W2921282347","https://openalex.org/W2493857655","https://openalex.org/W3152968659","https://openalex.org/W2369761877","https://openalex.org/W2025590371","https://openalex.org/W2273235072"],"abstract_inverted_index":{"Search":[0],"engines":[1],"are":[2,53],"increasingly":[3],"relying":[4],"on":[5],"large":[6],"knowledge":[7,23],"bases":[8,24],"of":[9,21,38],"facts":[10,52,64],"to":[11,15,32,44],"provide":[12],"direct":[13],"answers":[14],"users'":[16],"queries.":[17],"However,":[18],"the":[19,33],"construction":[20],"these":[22],"is":[25],"largely":[26],"manual":[27],"and":[28,35,58],"does":[29],"not":[30],"scale":[31],"long":[34],"heavy":[36],"tail":[37],"facts.":[39],"Open":[40],"information":[41],"extraction":[42],"tries":[43],"address":[45],"this":[46],"challenge,":[47],"but":[48],"typically":[49],"assumes":[50],"that":[51],"expressed":[54],"with":[55],"verb":[56],"phrases,":[57],"therefore":[59],"has":[60],"had":[61],"difficulty":[62],"extracting":[63],"for":[65],"noun-based":[66],"relations.":[67]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}