{"id":"https://openalex.org/W3005275511","doi":"https://doi.org/10.1109/bibm47256.2019.8983274","title":"Combined Self-attention Mechanism For Biomedical Event Trigger Identification","display_name":"Combined Self-attention Mechanism For Biomedical Event Trigger Identification","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005275511","doi":"https://doi.org/10.1109/bibm47256.2019.8983274","mag":"3005275511"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5101523487","display_name":"Zhichang Zhang","orcid":"https://orcid.org/0000-0003-3306-8493"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhichang Zhang","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University,Lanzhou,China","College of Computer Science and Engineering, Northwest Normal University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University,Lanzhou,China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101864194","display_name":"Ruifang Zhang","orcid":"https://orcid.org/0000-0003-1679-3116"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifang Zhang","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University,Lanzhou,China","College of Computer Science and Engineering, Northwest Normal University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University,Lanzhou,China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101523487"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13877659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1009","last_page":"1012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9923999905586243,"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":0.9814000129699707,"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":0.8347843289375305},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7224604487419128},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6251715421676636},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6213338375091553},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6058216094970703},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.605334997177124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5990540981292725},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5553829669952393},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.533402681350708},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.5020751953125},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47425714135169983},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.41242244839668274},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.15750589966773987},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06890636682510376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8347843289375305},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7224604487419128},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6251715421676636},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6213338375091553},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6058216094970703},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.605334997177124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990540981292725},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5553829669952393},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.533402681350708},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.5020751953125},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47425714135169983},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.41242244839668274},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.15750589966773987},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06890636682510376},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W76749362","https://openalex.org/W1924770834","https://openalex.org/W1988622308","https://openalex.org/W2010665003","https://openalex.org/W2032566933","https://openalex.org/W2098722636","https://openalex.org/W2126772639","https://openalex.org/W2146864948","https://openalex.org/W2171283231","https://openalex.org/W2252226131","https://openalex.org/W2469171125","https://openalex.org/W2515729969","https://openalex.org/W2775274731","https://openalex.org/W2916355958","https://openalex.org/W2963403868","https://openalex.org/W2963826794","https://openalex.org/W6603123688"],"related_works":["https://openalex.org/W2360644719","https://openalex.org/W2385471969","https://openalex.org/W2134429551","https://openalex.org/W3004288456","https://openalex.org/W2017675085","https://openalex.org/W4396918568","https://openalex.org/W2548624545","https://openalex.org/W2987255980","https://openalex.org/W4288094423","https://openalex.org/W2980250610"],"abstract_inverted_index":{"As":[0],"a":[1,100,111],"basic":[2],"task":[3],"of":[4,10,19,33,43,53,78,82,142,151,154,159,175],"natural":[5],"language":[6],"processing,":[7],"the":[8,31,41,50,66,75,79,140,149,169,173,176],"performance":[9,150],"biomedical":[11,44,92],"event":[12,45,93],"trigger":[13,46,94,152],"identification":[14,42,95,153],"is":[15,24,119,135],"lower":[16],"than":[17],"that":[18,104],"named":[20],"entity":[21],"recognition(NER),":[22],"which":[23],"mainly":[25,47],"limited":[26],"by":[27,85,121],"complex":[28,86,155],"events":[29],"and":[30,55,129,145,168],"scale":[32],"annotated":[34],"corpus.":[35],"In":[36,114],"recent":[37],"years,":[38],"researches":[39,73],"on":[40,49,74,91,165],"focus":[48],"small":[51],"size":[52],"corpus,":[54,167],"tend":[56],"to":[57,64,126,137,147],"use":[58],"external":[59],"knowledge":[60],"or":[61],"joint":[62],"training":[63],"improve":[65,148],"final":[67],"performance.":[68],"However,":[69],"there":[70],"are":[71],"few":[72],"insufficient":[76],"mining":[77],"inherent":[80],"features":[81,141],"texts":[83],"caused":[84],"events.":[87,156],"This":[88],"article":[89],"focuses":[90],"in":[96],"text":[97,143],"articles":[98],"using":[99],"neural":[101],"network":[102],"model":[103],"combines":[105],"bidirectional":[106,122],"gated":[107,123],"Recurrent":[108],"Unit":[109],"with":[110],"self-attention":[112,133],"mechanism.":[113],"this":[115],"method,":[116],"context-related":[117],"information":[118],"captured":[120],"recurrent":[124],"unit":[125],"better":[127],"understand":[128],"express":[130],"sentence":[131],"structure,":[132],"mechanism":[134],"adopted":[136],"fully":[138],"explore":[139],"itself,":[144],"finally":[146],"A":[157],"series":[158],"comparative":[160],"experiments":[161],"were":[162],"carried":[163],"out":[164],"MLEE":[166],"experimental":[170],"results":[171],"verified":[172],"effectiveness":[174],"method.":[177]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
