{"id":"https://openalex.org/W2115948795","doi":"https://doi.org/10.1017/s1351324913000156","title":"Unsupervised acquisition of entailment relations from the Web","display_name":"Unsupervised acquisition of entailment relations from the Web","publication_year":2013,"publication_date":"2013-07-30","ids":{"openalex":"https://openalex.org/W2115948795","doi":"https://doi.org/10.1017/s1351324913000156","mag":"2115948795"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324913000156","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324913000156","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5026091724","display_name":"Idan Szpektor","orcid":null},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]},{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB","IL"],"is_corresponding":true,"raw_author_name":"IDAN SZPEKTOR","raw_affiliation_strings":["Yahoo! Research, Haifa, Israel e-mail:","Yahoo research, Haifa, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Haifa, Israel e-mail:","institution_ids":["https://openalex.org/I91203450"]},{"raw_affiliation_string":"Yahoo research, Haifa, Israel#TAB#","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014266613","display_name":"Hristo Tanev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"HRISTO TANEV","raw_affiliation_strings":["JRC, Ispra, Italy e-mail:","JRC,Ispra,Italy"],"affiliations":[{"raw_affiliation_string":"JRC, Ispra, Italy e-mail:","institution_ids":["https://openalex.org/I4210118689"]},{"raw_affiliation_string":"JRC,Ispra,Italy","institution_ids":["https://openalex.org/I4210118689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033006575","display_name":"Ido Dagan","orcid":"https://orcid.org/0000-0003-3415-3374"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"IDO DAGAN","raw_affiliation_strings":["Department of Computer Science, Bar-Ilan University, Ramat Gan, Israel e-mail:","Department of Computer Science, Bar Ilan University, Ramat Gan, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Bar-Ilan University, Ramat Gan, Israel e-mail:","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"Department of Computer Science, Bar Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028595273","display_name":"Bonaventura Coppola","orcid":"https://orcid.org/0009-0003-2330-6993"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"BONAVENTURA COPPOLA","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY e-mail:","IBM Thomas J. Watson Research Center Yorktown Heights, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY e-mail:","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center Yorktown Heights, NY#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009815227","display_name":"Milen Kouylekov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128445","display_name":"Torino e-district","ror":"https://ror.org/03cxxc369","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210128445"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"MILEN KOUYLEKOV","raw_affiliation_strings":["CELI s.r.l., Torino, Italy e-mail:","CELI s.r.l.,Torino,Italy"],"affiliations":[{"raw_affiliation_string":"CELI s.r.l., Torino, Italy e-mail:","institution_ids":["https://openalex.org/I4210128445"]},{"raw_affiliation_string":"CELI s.r.l.,Torino,Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026091724"],"corresponding_institution_ids":["https://openalex.org/I1325784139","https://openalex.org/I91203450"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76946096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":"1","first_page":"3","last_page":"47"},"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":0.9997000098228455,"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/T13629","display_name":"Text Readability and Simplification","score":0.9944000244140625,"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":0.8873019814491272},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.7356572151184082},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7062090635299683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6764612793922424},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.5930183529853821},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5569790005683899},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.488665372133255},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4658079743385315},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4406700134277344},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.43057334423065186},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3266980051994324},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11497333645820618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8873019814491272},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.7356572151184082},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7062090635299683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6764612793922424},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.5930183529853821},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5569790005683899},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.488665372133255},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4658079743385315},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4406700134277344},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.43057334423065186},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3266980051994324},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11497333645820618},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s1351324913000156","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324913000156","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W16933249","https://openalex.org/W19551284","https://openalex.org/W66185676","https://openalex.org/W73274768","https://openalex.org/W77146693","https://openalex.org/W84509421","https://openalex.org/W114788397","https://openalex.org/W126404662","https://openalex.org/W137105571","https://openalex.org/W137514618","https://openalex.org/W174322856","https://openalex.org/W204338220","https://openalex.org/W806995027","https://openalex.org/W1483236033","https://openalex.org/W1520917717","https://openalex.org/W1521365985","https://openalex.org/W1528097745","https://openalex.org/W1539236884","https://openalex.org/W1543747524","https://openalex.org/W1573227613","https://openalex.org/W1608050331","https://openalex.org/W1720787546","https://openalex.org/W1897507002","https://openalex.org/W1908888846","https://openalex.org/W1909984404","https://openalex.org/W1933238101","https://openalex.org/W1973942085","https://openalex.org/W1980776243","https://openalex.org/W2003677545","https://openalex.org/W2012179495","https://openalex.org/W2012180588","https://openalex.org/W2018560257","https://openalex.org/W2027636837","https://openalex.org/W2050096760","https://openalex.org/W2081580037","https://openalex.org/W2107130271","https://openalex.org/W2112644606","https://openalex.org/W2114732164","https://openalex.org/W2115792525","https://openalex.org/W2118021410","https://openalex.org/W2126034021","https://openalex.org/W2129468719","https://openalex.org/W2129842875","https://openalex.org/W2129909699","https://openalex.org/W2129967282","https://openalex.org/W2130158090","https://openalex.org/W2131253837","https://openalex.org/W2137023796","https://openalex.org/W2138679451","https://openalex.org/W2140636749","https://openalex.org/W2140847984","https://openalex.org/W2143927888","https://openalex.org/W2145815109","https://openalex.org/W2148627204","https://openalex.org/W2153804780","https://openalex.org/W2158348268","https://openalex.org/W2159655235","https://openalex.org/W2166560332","https://openalex.org/W2167435923","https://openalex.org/W2177315893","https://openalex.org/W2272153972","https://openalex.org/W2294138787","https://openalex.org/W2321588627","https://openalex.org/W2329627532","https://openalex.org/W2396767181","https://openalex.org/W2418562021","https://openalex.org/W2496663644","https://openalex.org/W2605212342","https://openalex.org/W2606502803","https://openalex.org/W2618735189","https://openalex.org/W2620858438","https://openalex.org/W2914126339","https://openalex.org/W2930957955","https://openalex.org/W3105439152","https://openalex.org/W4238730903","https://openalex.org/W4253076224","https://openalex.org/W4285719527","https://openalex.org/W6682780409"],"related_works":["https://openalex.org/W2169644218","https://openalex.org/W12963412","https://openalex.org/W2250460949","https://openalex.org/W3158371345","https://openalex.org/W3141423438","https://openalex.org/W2071098659","https://openalex.org/W2627035043","https://openalex.org/W4385571113","https://openalex.org/W2937401546","https://openalex.org/W2784994561"],"abstract_inverted_index":{"Abstract":[0],"Entailment":[1],"recognition":[2],"is":[3,14,56,93],"a":[4,73,98,125,135,163],"primary":[5],"generic":[6],"task":[7],"in":[8,147],"natural":[9],"language":[10],"inference,":[11],"whose":[12],"focus":[13,110],"to":[15,60,118,162],"detect":[16],"whether":[17],"the":[18,27,30,54,82,91,122,140,152,174],"meaning":[19,28],"of":[20,29,42,78,84,106,124,176],"one":[21],"expression":[22],"can":[23],"be":[24],"inferred":[25],"from":[26,38,53,90],"other.":[31],"Accordingly,":[32],"many":[33],"NLP":[34],"applications":[35],"would":[36],"benefit":[37,175],"high":[39],"coverage":[40],"knowledgebases":[41,52],"paraphrases":[43],"and":[44,114,138],"entailment":[45,86,107,149],"rules.":[46],"To":[47],"this":[48],"end,":[49],"learning":[50,101,177],"such":[51],"Web":[55,92,141],"especially":[57],"appealing":[58],"due":[59],"its":[61,67,133],"huge":[62],"size":[63],"as":[64,66,132],"well":[65],"highly":[68],"heterogeneous":[69],"content,":[70],"allowing":[71],"for":[72,103,142,179],"more":[74],"scalable":[75],"rule":[76,87],"extraction":[77,105],"various":[79],"domains.":[80],"However,":[81],"scalability":[83,113],"state-of-the-art":[85,164],"acquisition":[88],"approaches":[89],"still":[94],"limited.":[95],"We":[96,109],"present":[97],"fully":[99],"unsupervised":[100,165],"algorithm":[102,130],"Web-based":[104,127],"relations.":[108],"on":[111],"increased":[112],"generality":[115],"with":[116,121,151,173,182],"respect":[117],"prior":[119],"work,":[120],"potential":[123],"large-scale":[126],"knowledgebase.":[128],"Our":[129],"takes":[131],"input":[134,153],"lexical\u2013syntactic":[136],"template":[137],"searches":[139],"syntactic":[143],"templates":[144],"that":[145],"participate":[146],"an":[148,169],"relation":[150],"template.":[154],"Experiments":[155],"show":[156],"promising":[157],"results,":[158],"achieving":[159],"performance":[160],"similar":[161],"algorithm,":[166],"operating":[167],"over":[168],"offline":[170],"corpus,":[171],"but":[172],"rules":[178],"different":[180],"domains":[181],"no":[183],"additional":[184],"effort.":[185]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}