{"id":"https://openalex.org/W2970212434","doi":"https://doi.org/10.1109/tbdata.2019.2938163","title":"BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition","display_name":"BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition","publication_year":2019,"publication_date":"2019-08-28","ids":{"openalex":"https://openalex.org/W2970212434","doi":"https://doi.org/10.1109/tbdata.2019.2938163","mag":"2970212434"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2019.2938163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2938163","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/137033","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002503154","display_name":"Hanieh Poostchi","orcid":"https://orcid.org/0000-0002-8725-2619"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hanieh Poostchi","raw_affiliation_strings":["Faculty of Engineering and Information Technology, School of Electrical and Data Engineering, University of Technology Sydney (UTS), Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8725-2619","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, School of Electrical and Data Engineering, University of Technology Sydney (UTS), Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080014791","display_name":"Massimo Piccardi","orcid":"https://orcid.org/0000-0001-9250-6604"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Massimo Piccardi","raw_affiliation_strings":["Faculty of Engineering and Information Technology, School of Electrical and Data Engineering, University of Technology Sydney (UTS), Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9250-6604","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, School of Electrical and Data Engineering, University of Technology Sydney (UTS), Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002503154"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.4335,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.72037334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"1","first_page":"203","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T11719","display_name":"Data Quality and Management","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7895252704620361},{"id":"https://openalex.org/keywords/hinge-loss","display_name":"Hinge loss","score":0.7511268854141235},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5650517344474792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5333934426307678},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4826962947845459},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43975088000297546},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.42661529779434204},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4238743782043457},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4147071838378906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3682013750076294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3219386339187622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895252704620361},{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.7511268854141235},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5650517344474792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5333934426307678},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4826962947845459},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43975088000297546},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.42661529779434204},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4238743782043457},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4147071838378906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3682013750076294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3219386339187622},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tbdata.2019.2938163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2938163","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/137033","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/137033","pdf_url":"http://hdl.handle.net/10453/137033","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/137033","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/137033","pdf_url":"http://hdl.handle.net/10453/137033","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320328094","display_name":"RoZetta","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970212434.pdf","grobid_xml":"https://content.openalex.org/works/W2970212434.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W232191560","https://openalex.org/W1940872118","https://openalex.org/W2020278455","https://openalex.org/W2070771761","https://openalex.org/W2099119623","https://openalex.org/W2105842272","https://openalex.org/W2107976320","https://openalex.org/W2115328410","https://openalex.org/W2137871902","https://openalex.org/W2139724629","https://openalex.org/W2156909104","https://openalex.org/W2167788644","https://openalex.org/W2294136507","https://openalex.org/W2296283641","https://openalex.org/W2343041606","https://openalex.org/W2397933063","https://openalex.org/W2399456070","https://openalex.org/W2414504425","https://openalex.org/W2465650118","https://openalex.org/W2545132779","https://openalex.org/W2756381707","https://openalex.org/W2765759151","https://openalex.org/W2915429162","https://openalex.org/W2952087486","https://openalex.org/W2952230511","https://openalex.org/W2962739339","https://openalex.org/W2962902328","https://openalex.org/W2963563735","https://openalex.org/W2963706742","https://openalex.org/W2963738950","https://openalex.org/W4206192903","https://openalex.org/W4299879562","https://openalex.org/W6609083048","https://openalex.org/W6640362995","https://openalex.org/W6675783020","https://openalex.org/W6676257489","https://openalex.org/W6683738474","https://openalex.org/W6684594235","https://openalex.org/W6693245568","https://openalex.org/W6704862255","https://openalex.org/W6715998359","https://openalex.org/W6744233811"],"related_works":["https://openalex.org/W2942806827","https://openalex.org/W2036329542","https://openalex.org/W2163046677","https://openalex.org/W2941035935","https://openalex.org/W4288375424","https://openalex.org/W3199871245","https://openalex.org/W4382322253","https://openalex.org/W3043384180","https://openalex.org/W2572480023","https://openalex.org/W3217639026"],"abstract_inverted_index":{"Building":[0],"on":[1,119],"the":[2,5,14,41,48,54,63,72,87,95,111,115,120,144,156],"achievements":[3],"of":[4,40,122],"BiLSTM-CRF":[6,88],"in":[7,78,125],"named-entity":[8],"recognition":[9],"(NER),":[10],"this":[11,76,79],"paper":[12,80],"introduces":[13],"BiLSTM-SSVM,":[15],"an":[16],"equivalent":[17],"neural":[18],"model":[19],"where":[20],"training":[21,60,84,142],"is":[22,67],"performed":[23],"using":[24],"a":[25,83,91,104],"structured":[26],"hinge":[27,92,106,146],"loss.":[28],"The":[29,128],"typical":[30],"loss":[31,56,93,97,107,113,117,147],"functions":[32],"used":[33,58],"for":[34,59,86],"evaluating":[35],"NER":[36,61],"are":[37],"entity-level":[38],"variants":[39],"<inline-formula><tex-math":[42],"notation=\"LaTeX\">$F_1$</tex-math><alternatives><mml:math><mml:msub><mml:mi>F</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math><inline-graphic":[43],"xlink:href=\"poostchi-ieq1-2938163.gif\"/></alternatives></inline-formula>":[44],"score":[45],"such":[46],"as":[47],"CoNLL":[49,96,112],"and":[50,138,162],"MUC":[51],"losses.":[52,74],"Unfortunately,":[53],"common":[55],"function":[57],"-":[62,66],"cross":[64,157],"entropy":[65,158],"only":[68],"loosely":[69],"related":[70],"to":[71,150],"evaluation":[73,165],"For":[75],"reason,":[77],"we":[81,102],"propose":[82],"approach":[85],"that":[89,108,141],"leverages":[90],"bounding":[94],"from":[98],"above.":[99],"In":[100],"addition,":[101],"present":[103],"mixed":[105,145],"bounds":[109],"either":[110],"or":[114],"Hamming":[116],"based":[118],"density":[121],"entity":[123],"tokens":[124],"each":[126],"sentence.":[127],"experimental":[129],"results":[130],"over":[131,155],"four":[132,163],"benchmark":[133],"languages":[134,161],"(English,":[135],"German,":[136],"Spanish":[137],"Dutch)":[139],"show":[140],"with":[143],"has":[148],"led":[149],"small":[151],"but":[152],"consistent":[153],"improvements":[154],"across":[159],"all":[160],"different":[164],"measures.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}