{"id":"https://openalex.org/W2118204198","doi":"https://doi.org/10.1109/iceei.2011.6021680","title":"Multi-Inductive Learning approach for Information Extraction","display_name":"Multi-Inductive Learning approach for Information Extraction","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2118204198","doi":"https://doi.org/10.1109/iceei.2011.6021680","mag":"2118204198"},"language":"en","primary_location":{"id":"doi:10.1109/iceei.2011.6021680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei.2011.6021680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Electrical Engineering and Informatics","raw_type":"proceedings-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/A5033573318","display_name":"Kurnia Muludi","orcid":"https://orcid.org/0000-0002-1234-018X"},"institutions":[{"id":"https://openalex.org/I12833781","display_name":"Lampung University","ror":"https://ror.org/05wtz9f44","country_code":"ID","type":"education","lineage":["https://openalex.org/I12833781"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Kurnia Muludi","raw_affiliation_strings":["Computer Center, The University of Lampung, Bandar Lampung, Indonesia","Computer Center, The University of Lampung, Jl. Sumantri Brojonegoro 1, Bandar 35145, Indonesia"],"affiliations":[{"raw_affiliation_string":"Computer Center, The University of Lampung, Bandar Lampung, Indonesia","institution_ids":["https://openalex.org/I12833781"]},{"raw_affiliation_string":"Computer Center, The University of Lampung, Jl. Sumantri Brojonegoro 1, Bandar 35145, Indonesia","institution_ids":["https://openalex.org/I12833781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010847400","display_name":"Dwi H. Widyantoro","orcid":"https://orcid.org/0000-0002-8718-5604"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dwi H Widyantoro","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","School of Electrical Engineering and Informatics - Bandung Institute of Technology, Jl. Ganeca 10, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"School of Electrical Engineering and Informatics - Bandung Institute of Technology, Jl. Ganeca 10, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063780760","display_name":"Kuspriyanto","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kuspriyanto","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","School of Electrical Engineering and Informatics - Bandung Institute of Technology, Jl. Ganeca 10, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"School of Electrical Engineering and Informatics - Bandung Institute of Technology, Jl. Ganeca 10, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110772713","display_name":"Oerip S. Santoso","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Oerip S. Santoso","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","School of Electrical Engineering and Informatics - Bandung Institute of Technology, Jl. Ganeca 10, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"School of Electrical Engineering and Informatics - Bandung Institute of Technology, Jl. Ganeca 10, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033573318"],"corresponding_institution_ids":["https://openalex.org/I12833781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12401232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9961000084877014,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9961000084877014,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9925000071525574,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9922999739646912,"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":0.7839775085449219},{"id":"https://openalex.org/keywords/inductive-transfer","display_name":"Inductive transfer","score":0.7656536102294922},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.7370239496231079},{"id":"https://openalex.org/keywords/inductive-bias","display_name":"Inductive bias","score":0.7219005823135376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7010334730148315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6934182047843933},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.5489146113395691},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5360427498817444},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.5317572355270386},{"id":"https://openalex.org/keywords/instance-based-learning","display_name":"Instance-based learning","score":0.5180302262306213},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5082108974456787},{"id":"https://openalex.org/keywords/learning-classifier-system","display_name":"Learning classifier system","score":0.4983992576599121},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4880732297897339},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4809545576572418},{"id":"https://openalex.org/keywords/inductive-reasoning","display_name":"Inductive reasoning","score":0.4117686152458191},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.30689918994903564},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.2557883858680725},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09181216359138489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839775085449219},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.7656536102294922},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.7370239496231079},{"id":"https://openalex.org/C197352929","wikidata":"https://www.wikidata.org/wiki/Q1074074","display_name":"Inductive bias","level":4,"score":0.7219005823135376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7010334730148315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934182047843933},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.5489146113395691},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5360427498817444},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.5317572355270386},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.5180302262306213},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5082108974456787},{"id":"https://openalex.org/C199190896","wikidata":"https://www.wikidata.org/wiki/Q3509276","display_name":"Learning classifier system","level":3,"score":0.4983992576599121},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4880732297897339},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4809545576572418},{"id":"https://openalex.org/C21563000","wikidata":"https://www.wikidata.org/wiki/Q484511","display_name":"Inductive reasoning","level":2,"score":0.4117686152458191},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.30689918994903564},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.2557883858680725},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09181216359138489},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceei.2011.6021680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei.2011.6021680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Electrical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W99485931","https://openalex.org/W138033052","https://openalex.org/W221177331","https://openalex.org/W1529910098","https://openalex.org/W1542791059","https://openalex.org/W1566538838","https://openalex.org/W2126204609","https://openalex.org/W2143349571","https://openalex.org/W2145680191","https://openalex.org/W2155925463","https://openalex.org/W2201604718","https://openalex.org/W4245298043","https://openalex.org/W4285719527","https://openalex.org/W6605610063","https://openalex.org/W6631827451","https://openalex.org/W6681291824","https://openalex.org/W6682928882"],"related_works":["https://openalex.org/W2017975621","https://openalex.org/W3021272668","https://openalex.org/W4286799911","https://openalex.org/W2806899865","https://openalex.org/W36398315","https://openalex.org/W2310147103","https://openalex.org/W4319309271","https://openalex.org/W2118204198","https://openalex.org/W4205569898","https://openalex.org/W3196155444"],"abstract_inverted_index":{"The":[0,58,92,189],"vast":[1],"amount":[2],"of":[3,20,41,49,66,84,94,132,201,218,229,235,243,261,273,276,280,288],"information":[4,70,232],"in":[5,141,152],"the":[6,85,167,223,230,246,268,274,293],"Internet":[7],"is":[8,18,32,47,60,62,82,97,122,130,145,149,267],"not":[9],"easy":[10],"to":[11,88,98,124,146,182],"find":[12],"and":[13,38,73,110,221,266],"use.":[14],"Information":[15,45,103,206,277],"Extraction":[16,46,104,207],"technology":[17],"one":[19,48,83],"alternatives":[21],"that":[22,113,126,137,193,200,238,283],"can":[23,165],"solve":[24],"this":[25,90,95,118,153],"problem.":[26,91],"Conventional":[27],"Natural":[28],"Language":[29],"Processing":[30],"approach":[31],"hampered":[33],"by":[34],"its":[35],"portability,":[36],"scalability":[37],"adaptability.":[39],"Introduction":[40],"Machine":[42],"Learning":[43,52,109,112,121,129,135,163,195,204,214,250],"into":[44],"solutions.":[50],"Inductive":[51,108,134,203],"only":[53],"needs":[54],"annotated":[55],"training":[56,160],"examples.":[57],"problem":[59],"there":[61,148],"no":[63],"performance":[64,198,225,254,260],"consistency":[65],"algorithms":[67,81,136],"on":[68,107,159,173,186,255],"various":[69,78],"domains.":[71],"Automatic":[72],"smart":[74],"classifier":[75,169],"selection":[76],"from":[77],"machine":[79],"learning":[80],"best":[86,168,178,224,247,269,294],"way":[87],"handle":[89],"goal":[93],"paper":[96,119],"propose":[99],"a":[100,174,216],"method":[101],"for":[102,170],"System":[105],"based":[106],"Meta":[111],"have":[114,138],"good":[115],"performance.":[116,248,295],"In":[117],"Multi-Inductive":[120,128,162,194,213,249],"developed":[123],"answer":[125],"question.":[127],"consist":[131],"several":[133],"significant":[139],"difference":[140],"their":[142],"mechanism.":[143],"This":[144],"ensure":[147],"bias":[150],"variance":[151],"method.":[154],"Through":[155],"k-fold":[156],"cross":[157],"validation":[158],"document,":[161],"algorithm":[164],"choose":[166],"each":[171],"slot":[172],"certain":[175],"domain.":[176],"These":[177],"classifiers":[179],"then":[180],"employ":[181],"do":[183],"full":[184],"extraction":[185],"testing":[187],"document.":[188],"conducted":[190],"experiment":[191],"shows":[192],"has":[196,222],"better":[197,253],"than":[199],"single":[202],"algorithm-based":[205],"systems.":[208,233],"On":[209],"Reuters":[210],"Corporate":[211],"Acquisition,":[212],"gives":[215,252,263],"score":[217],"46.3":[219],"%":[220,265],"among":[226,270],"other":[227,271],"state":[228,272],"art":[231,275],"Out":[234,279],"nine":[236,287],"slots":[237,282],"should":[239,284],"be":[240,285],"extracted,":[241],"six":[242],"them":[244,289],"give":[245],"also":[251],"Job":[256],"Posting":[257],"dataset.":[258],"Average":[259],"it":[262],"82.1":[264],"Extraction.":[278],"17":[281],"tested,":[286],"are":[290],"extracted":[291],"with":[292]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
