{"id":"https://openalex.org/W2583061389","doi":"https://doi.org/10.1109/icdim.2016.7829774","title":"Examination of effective features for CRF-based bibliography extraction from reference strings","display_name":"Examination of effective features for CRF-based bibliography extraction from reference strings","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2583061389","doi":"https://doi.org/10.1109/icdim.2016.7829774","mag":"2583061389"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2016.7829774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2016.7829774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","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/A5084376779","display_name":"Daiki Matsuoka","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daiki Matsuoka","raw_affiliation_strings":["Okayama University, Okayama, Japan"],"affiliations":[{"raw_affiliation_string":"Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102050481","display_name":"Manabu Ohta","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manabu Ohta","raw_affiliation_strings":["Okayama University, Okayama, Japan"],"affiliations":[{"raw_affiliation_string":"Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087434029","display_name":"Atsuhiro Takasu","orcid":"https://orcid.org/0000-0002-9061-7949"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuhiro Takasu","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102957694","display_name":"Jun Adachi","orcid":"https://orcid.org/0000-0001-5553-0402"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Adachi","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084376779"],"corresponding_institution_ids":["https://openalex.org/I163770644"],"apc_list":null,"apc_paid":null,"fwci":1.7736,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90085267,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2016","issue":null,"first_page":"243","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9947999715805054,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9947999715805054,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9918000102043152,"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":0.991599977016449,"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/conditional-random-field","display_name":"Conditional random field","score":0.90635746717453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7961283922195435},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7838301658630371},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6797913908958435},{"id":"https://openalex.org/keywords/digital-library","display_name":"Digital library","score":0.5852460861206055},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5794692039489746},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5766576528549194},{"id":"https://openalex.org/keywords/bibliography","display_name":"Bibliography","score":0.5462299585342407},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4090098738670349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40156474709510803},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19595342874526978},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.10408252477645874}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.90635746717453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7961283922195435},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7838301658630371},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6797913908958435},{"id":"https://openalex.org/C513874922","wikidata":"https://www.wikidata.org/wiki/Q212805","display_name":"Digital library","level":3,"score":0.5852460861206055},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5794692039489746},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5766576528549194},{"id":"https://openalex.org/C97002063","wikidata":"https://www.wikidata.org/wiki/Q134995","display_name":"Bibliography","level":2,"score":0.5462299585342407},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4090098738670349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40156474709510803},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19595342874526978},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.10408252477645874},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdim.2016.7829774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2016.7829774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"},{"id":"mag:2748906244","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702252128112564","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W968518887","https://openalex.org/W1534730506","https://openalex.org/W1559499673","https://openalex.org/W2002561318","https://openalex.org/W2034222664","https://openalex.org/W2119821739","https://openalex.org/W2147880316","https://openalex.org/W4239510810","https://openalex.org/W6631918358","https://openalex.org/W6633305578","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2737774955","https://openalex.org/W4205608827","https://openalex.org/W2370620280","https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W4231885144","https://openalex.org/W2356597680","https://openalex.org/W1492005981","https://openalex.org/W1982302668","https://openalex.org/W3015234152"],"abstract_inverted_index":{"Metadata":[0],"such":[1,28],"as":[2,29],"bibliographic":[3,26,44],"information":[4,27,45],"about":[5],"documents":[6],"are":[7,36],"indispensable":[8],"in":[9,89,101],"the":[10,18,59,62,77],"effective":[11,69,88],"use":[12],"of":[13,21,64],"digital":[14],"libraries.":[15],"In":[16],"particular,":[17],"reference":[19,47],"fields":[20],"academic":[22],"papers":[23],"contain":[24],"much":[25],"authors'":[30],"names":[31],"and":[32,92],"document":[33],"titles.":[34],"We":[35,67],"therefore":[37],"developing":[38],"a":[39,50],"method":[40],"for":[41,71],"automatically":[42],"extracting":[43],"from":[46],"strings":[48],"using":[49],"conditional":[51],"random":[52],"field":[53],"(CRF).":[54],"The":[55,80],"features":[56,70,78,85],"used":[57],"by":[58,74],"CRF":[60],"determine":[61],"accuracy":[63],"this":[65],"method.":[66],"examine":[68],"accurate":[72,90],"extraction":[73,91],"experimentally":[75],"changing":[76],"used.":[79],"experiments":[81],"showed":[82],"that":[83],"lexical":[84],"were":[86],"quite":[87],"augmenting":[93],"lexicons":[94],"properly":[95],"could":[96],"lead":[97],"to":[98],"further":[99],"improvements":[100],"accuracy.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
