{"id":"https://openalex.org/W3066338783","doi":"https://doi.org/10.1109/iske47853.2019.9170320","title":"Biomedical Named Entity Recognition via A Hybrid Neural Network Model","display_name":"Biomedical Named Entity Recognition via A Hybrid Neural Network Model","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3066338783","doi":"https://doi.org/10.1109/iske47853.2019.9170320","mag":"3066338783"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101579921","display_name":"Hao Wei","orcid":"https://orcid.org/0000-0001-7019-5710"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wei","raw_affiliation_strings":["Dalian Maritime University,School of Information,Dalian,China","School of Information, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Information, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037559855","display_name":"Mingyuan Gao","orcid":"https://orcid.org/0000-0001-7016-9440"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyuan Gao","raw_affiliation_strings":["Dalian Maritime University,School of Information,Dalian,China","School of Information, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Information, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080021423","display_name":"Ai Zhou","orcid":"https://orcid.org/0000-0002-5432-0881"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ai Zhou","raw_affiliation_strings":["Dalian Maritime University,School of Information,Dalian,China","School of Information, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Information, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405362","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0001-8616-5356"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Chen","raw_affiliation_strings":["Dalian Maritime University,School of Information,Dalian,China","School of Information, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Information, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521740","display_name":"Qu Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Qu","raw_affiliation_strings":["Dalian Maritime University,School of Information,Dalian,China","School of Information, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Information, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772297","display_name":"Chunli Wang","orcid":"https://orcid.org/0000-0002-6223-908X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunli Wang","raw_affiliation_strings":["Dalian Maritime University,School of Information,Dalian,China","School of Information, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Information, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052104124","display_name":"Mingyu Lu","orcid":"https://orcid.org/0000-0002-8663-9870"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Lu","raw_affiliation_strings":["Dalian Maritime University,School of Information,Dalian,China","School of Information, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"School of Information, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.57106047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9950000047683716,"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":0.8562688231468201},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7349479794502258},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6762967705726624},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6442974209785461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6259140968322754},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5953243970870972},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.5646405816078186},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5108968615531921},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46301954984664917},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4570780396461487},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4529430568218231},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4328976273536682},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4125913977622986},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3877306282520294},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3569403290748596},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.25346219539642334},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.08578917384147644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8562688231468201},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7349479794502258},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6762967705726624},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6442974209785461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6259140968322754},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5953243970870972},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.5646405816078186},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5108968615531921},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46301954984664917},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4570780396461487},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4529430568218231},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4328976273536682},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4125913977622986},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3877306282520294},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3569403290748596},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.25346219539642334},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.08578917384147644},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W192665053","https://openalex.org/W1584308190","https://openalex.org/W1964783010","https://openalex.org/W2004111828","https://openalex.org/W2047782770","https://openalex.org/W2064675550","https://openalex.org/W2065963191","https://openalex.org/W2079735306","https://openalex.org/W2095444228","https://openalex.org/W2112796928","https://openalex.org/W2127031049","https://openalex.org/W2127479124","https://openalex.org/W2133564696","https://openalex.org/W2159640576","https://openalex.org/W2169918010","https://openalex.org/W2296283641","https://openalex.org/W2528700057","https://openalex.org/W2592939477","https://openalex.org/W2626176522","https://openalex.org/W2766140847","https://openalex.org/W2769387903","https://openalex.org/W2777949341","https://openalex.org/W2779457220","https://openalex.org/W2921863388","https://openalex.org/W2963339489","https://openalex.org/W2964308564","https://openalex.org/W6607694240","https://openalex.org/W6679434410","https://openalex.org/W6748385030","https://openalex.org/W6761049344"],"related_works":["https://openalex.org/W2798423868","https://openalex.org/W4250494529","https://openalex.org/W189110383","https://openalex.org/W2132038179","https://openalex.org/W3047727388","https://openalex.org/W2961904766","https://openalex.org/W2165958952","https://openalex.org/W3012125532","https://openalex.org/W2027233318","https://openalex.org/W2062502130"],"abstract_inverted_index":{"Biomedical":[0],"named":[1],"entity":[2],"recognition":[3],"(BNER)":[4],"is":[5,163],"one":[6],"of":[7,11,72,111,118,205],"the":[8,70,73,94,101,116,124,128,132,137,147,153,157,167,180,185,203,210,214],"primary":[9],"tasks":[10],"analyzing":[12],"and":[13,28,53,93,114,136,199],"mining":[14],"biomedical":[15],"resources.":[16],"Recently,":[17],"major":[18],"neural":[19,25],"network":[20,26,32],"models":[21],"such":[22],"as":[23],"convolutional":[24],"(CNN)":[27],"long":[29],"short-term":[30],"memory":[31],"(LSTM)":[33],"have":[34,55],"shown":[35],"better":[36],"performance":[37,71,182],"than":[38],"conventional":[39],"methods":[40],"in":[41,222],"BNER.":[42,60,223],"They":[43,105],"do":[44],"not":[45],"rely":[46],"on":[47,65,184],"any":[48,189],"feature":[49,190],"engineering.":[50],"However,":[51],"CNN":[52,83,135,219],"LSTM":[54,86],"their":[56],"own":[57],"advantages":[58,67],"for":[59],"Combining":[61],"them":[62],"effectively":[63],"based":[64],"these":[66],"may":[68],"improve":[69,100],"BNER":[74,174],"model.":[75],"We":[76],"present":[77],"a":[78,108],"hybrid":[79,89,133,177,215],"model":[80,178],"by":[81,152],"combining":[82],"with":[84,170,193,220],"bidirectional":[85],"(BLSTM).":[87],"The":[88],"dilation":[90,134],"convolution":[91],"structure":[92,216],"attention":[95],"mechanism":[96],"are":[97,140,150,209],"adopted":[98,164],"to":[99,143,165,212],"two":[102],"networks":[103],"respectively.":[104],"can":[106],"obtain":[107],"wider":[109],"range":[110],"contextual":[112],"information":[113],"increase":[115],"weight":[117],"significant":[119],"information.":[120],"First,":[121],"we":[122,208],"convert":[123],"original":[125],"data":[126],"into":[127],"word":[129,197],"vectors.":[130],"Then":[131],"attention-based":[138],"BLSTM":[139,221],"respectively":[141],"used":[142],"capture":[144],"features.":[145],"Next,":[146],"output":[148],"features":[149],"integrated":[151],"merge":[154],"operation.":[155],"Finally,":[156],"conditional":[158],"random":[159],"field":[160],"(CRF)":[161],"layer":[162],"parse":[166],"tags.":[168],"Compared":[169],"some":[171],"previous":[172],"single-task":[173],"methods,":[175],"our":[176,206],"obtains":[179],"reasonable":[181],"(F1-score:73.72%)":[183],"JNLPBA":[186],"corpus":[187],"without":[188],"engineering,":[191],"only":[192],"public":[194],"general":[195],"pretrained":[196],"embeddings":[198],"simple":[200],"architecture.":[201],"To":[202],"best":[204],"knowledge,":[207],"first":[211],"adopt":[213],"which":[217],"combines":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}