{"id":"https://openalex.org/W2740554209","doi":"https://doi.org/10.18653/v1/p17-2050","title":"Bootstrapping for Numerical Open IE","display_name":"Bootstrapping for Numerical Open IE","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740554209","doi":"https://doi.org/10.18653/v1/p17-2050","mag":"2740554209"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-2050","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-2050","pdf_url":"https://www.aclweb.org/anthology/P17-2050.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 55th Annual Meeting of the Association for\n          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/P17-2050.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057314288","display_name":"Swarnadeep Saha","orcid":"https://orcid.org/0000-0002-6972-3448"},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Swarnadeep Saha","raw_affiliation_strings":["Microsoft Corporation","Department of CSE I.I.T. Delhi"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]},{"raw_affiliation_string":"Department of CSE I.I.T. Delhi","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112265801","display_name":"Harinder Pal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Harinder Pal","raw_affiliation_strings":["Microsoft Corporation","Department of CSE I.I.T. Delhi"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]},{"raw_affiliation_string":"Department of CSE I.I.T. Delhi","institution_ids":[]}]},{"author_position":"last","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":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112265801"],"corresponding_institution_ids":["https://openalex.org/I4210105678"],"apc_list":null,"apc_paid":null,"fwci":9.1394,"has_fulltext":true,"cited_by_count":97,"citation_normalized_percentile":{"value":0.98214416,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"317","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/bootstrapping","display_name":"Bootstrapping (finance)","score":0.7039995789527893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6841487884521484},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6425082683563232},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5746029615402222},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5106750130653381},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4921090006828308},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.4631957411766052},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4393254220485687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3839654326438904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35290971398353577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2502911388874054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.212013840675354},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.09204944968223572}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.7039995789527893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6841487884521484},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6425082683563232},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5746029615402222},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5106750130653381},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4921090006828308},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.4631957411766052},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4393254220485687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3839654326438904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35290971398353577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2502911388874054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.212013840675354},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.09204944968223572},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-2050","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-2050","pdf_url":"https://www.aclweb.org/anthology/P17-2050.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-2050","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-2050","pdf_url":"https://www.aclweb.org/anthology/P17-2050.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740554209.pdf","grobid_xml":"https://content.openalex.org/works/W2740554209.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W38873404","https://openalex.org/W1529731474","https://openalex.org/W1539746312","https://openalex.org/W1587341848","https://openalex.org/W1968548280","https://openalex.org/W2015707701","https://openalex.org/W2029891043","https://openalex.org/W2081580037","https://openalex.org/W2122865749","https://openalex.org/W2123167824","https://openalex.org/W2125972432","https://openalex.org/W2127978399","https://openalex.org/W2129842875","https://openalex.org/W2152380671","https://openalex.org/W2161494021","https://openalex.org/W2250225327","https://openalex.org/W2250843058","https://openalex.org/W2250974997","https://openalex.org/W2295344126","https://openalex.org/W2471366537","https://openalex.org/W2509043545","https://openalex.org/W2521441617","https://openalex.org/W2533904613","https://openalex.org/W2565515778","https://openalex.org/W2606270692","https://openalex.org/W2620968868","https://openalex.org/W2952535097","https://openalex.org/W3099021111","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W1534274833","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W3117246195","https://openalex.org/W2024983515"],"abstract_inverted_index":{"We":[0],"design":[1],"and":[2,84],"release":[3],"BONIE,":[4],"the":[5,19,33,72,78,105],"first":[6],"open":[7],"numerical":[8,39,90],"relation":[9],"extractor,":[10],"for":[11],"extracting":[12],"Open":[13,95,125,150],"IE":[14,96,126,151],"tuples":[15],"where":[16],"one":[17],"of":[18],"arguments":[20],"is":[21,75,122],"a":[22,25,42,93,108],"number":[23],"or":[24],"quantity-unit":[26],"phrase.":[27],"BONIE":[28,80],"uses":[29],"bootstrapping":[30],"to":[31,59],"learn":[32],"specific":[34],"dependency":[35],"patterns":[36],"that":[37],"express":[38],"relations":[40],"in":[41,47,77],"sentence.":[43],"BONIE's":[44],"novelty":[45],"lies":[46],"task-specific":[48],"customizations,":[49],"such":[50,61],"as":[51,62],"inferring":[52],"implicit":[53],"relations,":[54],"which":[55],"are":[56],"clear":[57],"due":[58],"context":[60],"units":[63],"(for":[64],"e.g.,":[65],"'square":[66],"kilometers'":[67],"suggests":[68],"area,":[69],"even":[70],"if":[71],"word":[73],"'area'":[74],"missing":[76],"sentence).":[79],"obtains":[81],"1.5x":[82],"yield":[83],"15":[85],"point":[86],"precision":[87],"gain":[88],"on":[89],"facts":[91],"over":[92],"state-of-the-art":[94],"system.":[97],"1":[98,114],"*":[99],"Most":[100],"work":[101],"was":[102,107],"done":[103],"when":[104],"author":[106],"graduate":[109],"student":[110],"at":[111],"IIT":[112],"Delhi.":[113],"https://github.com/knowitall/openie":[115],"1.":[116],"Sentence:":[117,145],"Hong":[118],"Kong's":[119,129],"labour":[120,130,139],"force":[121,140],"3.5":[123,133,142],"million.":[124],"4.2:":[127],"(Hong":[128,136],"force;":[131],"is;":[132],"million)":[134,143],"BONIE:":[135],"Kong;":[137],"has":[138,147],"of;":[141],"2.":[144],"Microsoft":[146],"100,000":[148],"employees.":[149],"4":[152]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":9}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}