{"id":"https://openalex.org/W3199146772","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534328","title":"Information Extraction of Domain-Specific Business Documents with Limited Data","display_name":"Information Extraction of Domain-Specific Business Documents with Limited Data","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199146772","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534328","mag":"3199146772"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5010175697","display_name":"Minh-Tien Nguyen","orcid":"https://orcid.org/0000-0002-5028-0608"},"institutions":[{"id":"https://openalex.org/I1285420085","display_name":"Hung Yen University of Technology and Education","ror":"https://ror.org/052yjgk16","country_code":"VN","type":"education","lineage":["https://openalex.org/I1285420085"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Minh-Tien Nguyen","raw_affiliation_strings":["CINNAMON LAB, Dong Da, Hanoi, Vietnam","Hung Yen University of Technology and Education, Hung Yen, Vietnam"],"affiliations":[{"raw_affiliation_string":"CINNAMON LAB, Dong Da, Hanoi, Vietnam","institution_ids":[]},{"raw_affiliation_string":"Hung Yen University of Technology and Education, Hung Yen, Vietnam","institution_ids":["https://openalex.org/I1285420085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068673769","display_name":"Le Thai Linh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Thai Linh","raw_affiliation_strings":["CINNAMON LAB,Dong Da,Hanoi,Vietnam"],"affiliations":[{"raw_affiliation_string":"CINNAMON LAB,Dong Da,Hanoi,Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103971749","display_name":"Dung Tien Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dung Tien Le","raw_affiliation_strings":["CINNAMON LAB,Dong Da,Hanoi,Vietnam"],"affiliations":[{"raw_affiliation_string":"CINNAMON LAB,Dong Da,Hanoi,Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102881033","display_name":"Nguy\u1ec5n H\u1ed3ng S\u01a1n","orcid":"https://orcid.org/0009-0001-5843-2274"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen Hong Son","raw_affiliation_strings":["CINNAMON LAB,Dong Da,Hanoi,Vietnam"],"affiliations":[{"raw_affiliation_string":"CINNAMON LAB,Dong Da,Hanoi,Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110801442","display_name":"Do Hoang Thai Duong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Do Hoang Thai Duong","raw_affiliation_strings":["CINNAMON LAB,Dong Da,Hanoi,Vietnam"],"affiliations":[{"raw_affiliation_string":"CINNAMON LAB,Dong Da,Hanoi,Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004308688","display_name":"Bui Cong Minh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bui Cong Minh","raw_affiliation_strings":["CINNAMON LAB,Dong Da,Hanoi,Vietnam"],"affiliations":[{"raw_affiliation_string":"CINNAMON LAB,Dong Da,Hanoi,Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070503776","display_name":"Akira Shojiguchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akira Shojiguchi","raw_affiliation_strings":["CINNAMON LAB,Dong Da,Hanoi,Vietnam"],"affiliations":[{"raw_affiliation_string":"CINNAMON LAB,Dong Da,Hanoi,Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010175697"],"corresponding_institution_ids":["https://openalex.org/I1285420085"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.549819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3361 10","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.995199978351593,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9556999802589417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8636646270751953},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6169596910476685},{"id":"https://openalex.org/keywords/business-domain","display_name":"Business domain","score":0.6105947494506836},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5719435811042786},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5674663782119751},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5008995532989502},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4728439450263977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.470117449760437},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.46936705708503723},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.4278346300125122},{"id":"https://openalex.org/keywords/domain-specific-language","display_name":"Domain-specific language","score":0.4155157208442688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40631043910980225},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38058966398239136},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3562130630016327},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.35090845823287964},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.30421242117881775},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.2751320004463196},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23473095893859863},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.19406333565711975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8636646270751953},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6169596910476685},{"id":"https://openalex.org/C193669473","wikidata":"https://www.wikidata.org/wiki/Q5001867","display_name":"Business domain","level":5,"score":0.6105947494506836},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5719435811042786},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5674663782119751},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5008995532989502},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4728439450263977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.470117449760437},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.46936705708503723},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.4278346300125122},{"id":"https://openalex.org/C135257023","wikidata":"https://www.wikidata.org/wiki/Q691358","display_name":"Domain-specific language","level":2,"score":0.4155157208442688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40631043910980225},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38058966398239136},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3562130630016327},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.35090845823287964},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.30421242117881775},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.2751320004463196},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23473095893859863},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.19406333565711975},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W11196620","https://openalex.org/W33304361","https://openalex.org/W1529731474","https://openalex.org/W1538131130","https://openalex.org/W2064675550","https://openalex.org/W2144578941","https://openalex.org/W2151846280","https://openalex.org/W2194187530","https://openalex.org/W2250539671","https://openalex.org/W2251239360","https://openalex.org/W2251913848","https://openalex.org/W2296283641","https://openalex.org/W2782081865","https://openalex.org/W2804221886","https://openalex.org/W2896457183","https://openalex.org/W2955710688","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2978017171","https://openalex.org/W2996428491","https://openalex.org/W3004680503","https://openalex.org/W3046589659","https://openalex.org/W3093598662","https://openalex.org/W3106904896","https://openalex.org/W4285719527","https://openalex.org/W4287824654","https://openalex.org/W4385245566","https://openalex.org/W6600456216","https://openalex.org/W6601326180","https://openalex.org/W6632100814","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6768021236","https://openalex.org/W6768851824","https://openalex.org/W6771917389","https://openalex.org/W6773705640","https://openalex.org/W6774870881"],"related_works":["https://openalex.org/W2030910246","https://openalex.org/W4389912246","https://openalex.org/W93556318","https://openalex.org/W4205553786","https://openalex.org/W4246523126","https://openalex.org/W2372528840","https://openalex.org/W2099377347","https://openalex.org/W2101741928","https://openalex.org/W2372366649","https://openalex.org/W2146339563"],"abstract_inverted_index":{"Information":[0],"extraction":[1,37],"is":[2,30,74],"a":[3,31,57,65],"key":[4],"corner-stone":[5],"in":[6,22],"the":[7,14,23,44],"digitization":[8],"of":[9,16,46,48],"office":[10],"data":[11,86],"which":[12,59,98],"requires":[13],"conversion":[15],"unstructured":[17],"to":[18,26,34,39,43],"structured":[19],"data.":[20,50],"However,":[21],"actual":[24,102],"application":[25],"business":[27,103],"cases,":[28],"there":[29],"big":[32],"deadlock":[33],"adapt":[35],"common":[36],"systems":[38],"domain-specific":[40,79],"documents":[41],"due":[42],"limitation":[45],"preparation":[47],"training":[49],"To":[51],"overcome":[52],"this":[53],"issue,":[54],"we":[55],"introduce":[56],"model,":[58],"employs":[60],"pre-trained":[61],"language":[62],"models":[63],"with":[64],"customized":[66],"CNN":[67],"layer":[68],"for":[69,101],"domain":[70],"adaptation.":[71],"The":[72],"model":[73,94],"validated":[75],"on":[76],"three":[77],"Japanese":[78],"and":[80],"two":[81],"benchmark":[82],"machine":[83],"reading":[84],"comprehension":[85],"sets":[87],"(SQuADs).":[88],"Experimental":[89],"results":[90,97],"confirm":[91],"that":[92],"our":[93],"achieves":[95],"promising":[96],"are":[99],"applicable":[100],"scenarios.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
