{"id":"https://openalex.org/W2471366537","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-012","title":"Open information extraction: the second generation","display_name":"Open information extraction: the second generation","publication_year":2011,"publication_date":"2011-07-16","ids":{"openalex":"https://openalex.org/W2471366537","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-012","mag":"2471366537"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.2819","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.2819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijcai.org/papers11/Papers/IJCAI11-012.pdf","raw_type":"text"},"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110184338","display_name":"Oren Etzioni","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oren Etzioni","raw_affiliation_strings":["Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036204095","display_name":"Anthony Fader","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Fader","raw_affiliation_strings":["Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005426988","display_name":"Janara Christensen","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janara Christensen","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington, Seattle WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle WA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037043939","display_name":"Stephen Soderland","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Soderland","raw_affiliation_strings":["Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042262991","display_name":"Mausam Mausam","orcid":"https://orcid.org/0000-0003-4088-4296"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mausam Mausam","raw_affiliation_strings":["Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turing Center, Dept. of Computer Science and Engineering, University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":50.5578,"has_fulltext":false,"cited_by_count":449,"citation_normalized_percentile":{"value":0.99885541,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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":0.9998000264167786,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/open-domain","display_name":"Open domain","score":0.8314881324768066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8132368326187134},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.7253774404525757},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.6821326017379761},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6191740036010742},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6182007193565369},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.5438580513000488},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.540721595287323},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5141244530677795},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4883558452129364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4366990029811859},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3391255736351013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09180572628974915}],"concepts":[{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.8314881324768066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132368326187134},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.7253774404525757},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.6821326017379761},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6191740036010742},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6182007193565369},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.5438580513000488},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.540721595287323},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5141244530677795},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4883558452129364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4366990029811859},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3391255736351013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09180572628974915},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.2819","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.2819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijcai.org/papers11/Papers/IJCAI11-012.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.221.75","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.75","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://turing.cs.washington.edu/papers/etzioni-ijcai2011.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.232.3825","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.3825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.washington.edu/homes/soderlan/Etzioni-ijcai11.pdf","raw_type":"text"},{"id":"mag:2471366537","is_oa":false,"landing_page_url":"http://ai.cs.washington.edu/www/media/papers/etzioni-ijcai2011.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W394841866","https://openalex.org/W640343070","https://openalex.org/W1493490255","https://openalex.org/W1512387364","https://openalex.org/W1520485300","https://openalex.org/W1543747524","https://openalex.org/W1662896920","https://openalex.org/W1752409112","https://openalex.org/W1973532090","https://openalex.org/W2012179495","https://openalex.org/W2079754016","https://openalex.org/W2103729963","https://openalex.org/W2105446980","https://openalex.org/W2107598941","https://openalex.org/W2124634352","https://openalex.org/W2125972432","https://openalex.org/W2126539437","https://openalex.org/W2126851059","https://openalex.org/W2129629757","https://openalex.org/W2132655161","https://openalex.org/W2132679783","https://openalex.org/W2133990480","https://openalex.org/W2145222333","https://openalex.org/W2153848201","https://openalex.org/W2156014853","https://openalex.org/W2161494021","https://openalex.org/W2162340487","https://openalex.org/W2167187514","https://openalex.org/W2168185617","https://openalex.org/W2913629715","https://openalex.org/W3098991821"],"related_works":["https://openalex.org/W2167187514","https://openalex.org/W2161494021","https://openalex.org/W2129842875","https://openalex.org/W2122865749","https://openalex.org/W2107598941","https://openalex.org/W2103931177","https://openalex.org/W2094728533","https://openalex.org/W2068737686","https://openalex.org/W2022166150","https://openalex.org/W2016753842","https://openalex.org/W1529731474","https://openalex.org/W1512387364","https://openalex.org/W1493490255","https://openalex.org/W102708294","https://openalex.org/W2009591769","https://openalex.org/W2081580037","https://openalex.org/W2148540243","https://openalex.org/W2115461474","https://openalex.org/W1483236033","https://openalex.org/W1489949474"],"abstract_inverted_index":{"How":[0],"do":[1],"we":[2,34],"scale":[3,60],"information":[4],"extraction":[5],"to":[6,25,54,61,111],"the":[7,14,30,36,62,74,87],"massive":[8],"size":[9],"and":[10,48,52,80,103,121],"unprecedented":[11],"heterogeneity":[12],"of":[13,71,90,100],"Web":[15,63],"corpus?":[16],"Beginning":[17],"in":[18,108],"2003,":[19],"our":[20],"KnowItAll":[21],"project":[22],"has":[23],"sought":[24],"extract":[26],"high-quality":[27],"knowledge":[28,79],"from":[29],"Web.":[31],"In":[32],"2007,":[33],"introduced":[35],"Open":[37,65,91],"Information":[38],"Extraction":[39],"(Open":[40],"IE)":[41],"paradigm":[42],"which":[43,94],"eschews":[44],"handlabeled":[45],"training":[46],"examples,":[47],"avoids":[49],"domainspecific":[50],"verbs":[51],"nouns,":[53],"develop":[55],"unlexicalized,":[56],"domain-independent":[57],"extractors":[58],"that":[59],"corpus.":[64],"IE":[66,92],"systems":[67,117],"have":[68],"extracted":[69],"billions":[70],"assertions":[72],"as":[73,119],"basis":[75],"for":[76],"both":[77],"commonsense":[78],"novel":[81,98],"question-answering":[82],"systems.":[83],"This":[84],"paper":[85],"describes":[86],"second":[88],"generation":[89],"systems,":[93],"rely":[95],"on":[96],"a":[97],"model":[99],"how":[101],"relations":[102],"their":[104],"arguments":[105],"are":[106],"expressed":[107],"English":[109],"sentences":[110],"double":[112],"precision/recall":[113],"compared":[114],"with":[115],"previous":[116],"such":[118],"TEXTRUNNER":[120],"WOE.":[122],"1":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":44},{"year":2018,"cited_by_count":46},{"year":2017,"cited_by_count":50},{"year":2016,"cited_by_count":55},{"year":2015,"cited_by_count":52},{"year":2014,"cited_by_count":45},{"year":2013,"cited_by_count":41},{"year":2012,"cited_by_count":28}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
