{"id":"https://openalex.org/W1988622308","doi":"https://doi.org/10.1142/s0219720015410012","title":"Embedding assisted prediction architecture for event trigger identification","display_name":"Embedding assisted prediction architecture for event trigger identification","publication_year":2015,"publication_date":"2015-01-12","ids":{"openalex":"https://openalex.org/W1988622308","doi":"https://doi.org/10.1142/s0219720015410012","mag":"1988622308","pmid":"https://pubmed.ncbi.nlm.nih.gov/25669328"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720015410012","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720015410012","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5036072727","display_name":"Yifan Nie","orcid":"https://orcid.org/0000-0003-4771-3633"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Nie","raw_affiliation_strings":["Sino-French Engineer School, Beihang University, Beijing 100191, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sino-French Engineer School, Beihang University, Beijing 100191, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055420596","display_name":"Wenge Rong","orcid":"https://orcid.org/0000-0002-4229-7215"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenge Rong","raw_affiliation_strings":["Research Institute of Beihang University in Shenzhen, Shenzhen 518057, P. R. China","School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Beihang University in Shenzhen, Shenzhen 518057, P. R. China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437644","display_name":"Yiyuan Zhang","orcid":"https://orcid.org/0000-0001-6643-9698"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyuan Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China","School of Computer Science and Engineering, Beihang University, Beijing, 100191, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, 100191, P.R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627876","display_name":"Yuanxin Ouyang","orcid":"https://orcid.org/0000-0002-8687-9129"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxin Ouyang","raw_affiliation_strings":["Research Institute of Beihang University in Shenzhen, Shenzhen 518057, P. R. China","School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Beihang University in Shenzhen, Shenzhen 518057, P. R. China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442123","display_name":"Zhang Xiong","orcid":"https://orcid.org/0000-0002-9421-1014"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Xiong","raw_affiliation_strings":["Research Institute of Beihang University in Shenzhen, Shenzhen 518057, P. R. China","School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Beihang University in Shenzhen, Shenzhen 518057, P. R. China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036072727"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.4092,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.8889444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"03","first_page":"1541001","last_page":"1541001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.998199999332428,"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":0.998199999332428,"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":0.9969000220298767,"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":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797406792640686},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7426127791404724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7190095782279968},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6979151964187622},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6631365418434143},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6211293935775757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5817660689353943},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5660632848739624},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5172165632247925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797406792640686},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7426127791404724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7190095782279968},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6979151964187622},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6631365418434143},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6211293935775757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5817660689353943},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5660632848739624},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5172165632247925},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219720015410012","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720015410012","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:25669328","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25669328","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of bioinformatics and computational biology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W100623710","https://openalex.org/W1984052055","https://openalex.org/W1990633445","https://openalex.org/W2028124403","https://openalex.org/W2065251521","https://openalex.org/W2068094441","https://openalex.org/W2098722636","https://openalex.org/W2101530851","https://openalex.org/W2103320915","https://openalex.org/W2130372754","https://openalex.org/W2141747195","https://openalex.org/W2146864948","https://openalex.org/W2149489931","https://openalex.org/W4255949318"],"related_works":["https://openalex.org/W4288407670","https://openalex.org/W947140380","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255"],"abstract_inverted_index":{"Molecular":[0],"events":[1],"normally":[2],"have":[3,38,58],"significant":[4],"meanings":[5],"since":[6],"they":[7],"describe":[8],"important":[9],"biological":[10,25],"interactions":[11],"or":[12],"alternations":[13],"such":[14],"as":[15],"binding":[16],"of":[17,24,90],"a":[18,21,79,128],"protein.":[19],"As":[20],"crucial":[22],"step":[23],"event":[26,28,140,168],"extraction,":[27],"trigger":[29,141,169],"identification":[30],"has":[31,150],"attracted":[32],"much":[33],"attention":[34],"and":[35,50,54,62,87,93,107],"many":[36,67,102],"methods":[37,43],"been":[39],"proposed.":[40],"Traditionally":[41],"those":[42],"can":[44],"be":[45],"categorised":[46],"into":[47,96,164],"rule-based":[48,64],"approach":[49,53],"machine":[51,55,70],"learning":[52],"learning-based":[56,71],"approaches":[57,65,72],"demonstrated":[59],"its":[60,152],"potential":[61],"outperformed":[63],"in":[66,119,125],"situations.":[68],"However,":[69],"still":[73],"face":[74],"several":[75],"challenges":[76],"among":[77,110],"which":[78,111],"notable":[80],"one":[81],"is":[82,114,136,155],"how":[83],"to":[84,104,121,138],"model":[85,105,135],"semantic":[86,106],"syntactic":[88,108],"information":[89],"different":[91],"words":[92],"incorporate":[94],"it":[95],"the":[97],"prediction":[98,134],"model.":[99],"There":[100],"exist":[101],"ways":[103],"information,":[109],"word":[112,129],"embedding":[113,130],"an":[115],"effective":[116],"one.":[117],"Therefore,":[118],"order":[120],"address":[122],"this":[123,126,158],"challenge,":[124],"study,":[127],"assisted":[131],"neural":[132],"network":[133],"proposed":[137],"conduct":[139],"identification.":[142,170],"The":[143],"experimental":[144],"study":[145,159],"on":[146],"commonly":[147],"used":[148],"dataset":[149],"shown":[151],"potential.":[153],"It":[154],"believed":[156],"that":[157],"could":[160],"offer":[161],"researchers":[162],"insights":[163],"semantic-aware":[165],"solutions":[166],"for":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}