{"id":"https://openalex.org/W2999710845","doi":"https://doi.org/10.1109/access.2020.2965964","title":"Make It Directly: Event Extraction Based on Tree-LSTM and Bi-GRU","display_name":"Make It Directly: Event Extraction Based on Tree-LSTM and Bi-GRU","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999710845","doi":"https://doi.org/10.1109/access.2020.2965964","mag":"2999710845"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2965964","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2965964","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08957160.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08957160.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101623553","display_name":"Wentao Yu","orcid":"https://orcid.org/0000-0002-6882-1556"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Yu","raw_affiliation_strings":["PLA Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6882-1556","affiliations":[{"raw_affiliation_string":"PLA Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051314743","display_name":"Mianzhu Yi","orcid":"https://orcid.org/0000-0002-7941-5350"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mianzhu Yi","raw_affiliation_strings":["PLA Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7941-5350","affiliations":[{"raw_affiliation_string":"PLA Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102772775","display_name":"Xiaohui Huang","orcid":"https://orcid.org/0000-0003-3763-718X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Huang","raw_affiliation_strings":["PLA Information Engineering University, Zhengzhou, China","University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-3763-718X","affiliations":[{"raw_affiliation_string":"PLA Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101426917","display_name":"Xiaoyu Yi","orcid":"https://orcid.org/0000-0003-0624-1369"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Yi","raw_affiliation_strings":["Henan Normal University, Xinxiang, China","PLA Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0624-1369","affiliations":[{"raw_affiliation_string":"Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"PLA Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028566827","display_name":"Qingjun Yuan","orcid":"https://orcid.org/0000-0002-6598-8190"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjun Yuan","raw_affiliation_strings":["PLA Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6598-8190","affiliations":[{"raw_affiliation_string":"PLA Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.086,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.8950653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"14344","last_page":"14354"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9986000061035156,"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":0.9975000023841858,"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":0.870132327079773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6902808547019958},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.686530590057373},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5856457948684692},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5376449823379517},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4925247132778168},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4808926582336426},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46346914768218994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37788721919059753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34185880422592163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.870132327079773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6902808547019958},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.686530590057373},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5856457948684692},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5376449823379517},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4925247132778168},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4808926582336426},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46346914768218994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37788721919059753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34185880422592163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2965964","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2965964","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08957160.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c5c2bd49d04941ef994203ab91134060","is_oa":true,"landing_page_url":"https://doaj.org/article/c5c2bd49d04941ef994203ab91134060","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 14344-14354 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2965964","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2965964","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08957160.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G3548762896","display_name":null,"funder_award_id":"2016YFB0201402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2999710845.pdf","grobid_xml":"https://content.openalex.org/works/W2999710845.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W89398647","https://openalex.org/W1832693441","https://openalex.org/W2013842895","https://openalex.org/W2072628044","https://openalex.org/W2250999640","https://openalex.org/W2251939518","https://openalex.org/W2282866165","https://openalex.org/W2348786060","https://openalex.org/W2356272092","https://openalex.org/W2475245295","https://openalex.org/W2608787653","https://openalex.org/W2752172973","https://openalex.org/W2755205424","https://openalex.org/W2760476461","https://openalex.org/W2786464815","https://openalex.org/W2788322837","https://openalex.org/W2788525741","https://openalex.org/W2942904230","https://openalex.org/W2948645018","https://openalex.org/W2962764947","https://openalex.org/W2963001247","https://openalex.org/W2963044185","https://openalex.org/W2963196945","https://openalex.org/W2963355447","https://openalex.org/W2963420272","https://openalex.org/W2963899155","https://openalex.org/W2963918774","https://openalex.org/W2963926728","https://openalex.org/W2964025273","https://openalex.org/W2964217331","https://openalex.org/W2964779968","https://openalex.org/W2969597887","https://openalex.org/W2970257772","https://openalex.org/W2974174128","https://openalex.org/W6603633592","https://openalex.org/W6691459498","https://openalex.org/W6695202613","https://openalex.org/W6705207166","https://openalex.org/W6728841366","https://openalex.org/W6736893582","https://openalex.org/W6741314120","https://openalex.org/W6743384090","https://openalex.org/W6748176785","https://openalex.org/W6748231120","https://openalex.org/W6748465572","https://openalex.org/W6751978109"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W4234772502","https://openalex.org/W2380685755","https://openalex.org/W2252100032","https://openalex.org/W2963436428","https://openalex.org/W4400978025","https://openalex.org/W2918743509","https://openalex.org/W2734796617","https://openalex.org/W3083218341","https://openalex.org/W3034087822"],"abstract_inverted_index":{"Event":[0],"extraction":[1,22,33,49,58,82,121,215],"is":[2,23,51,103,124,140,190],"an":[3,206],"important":[4],"research":[5],"direction":[6],"in":[7,92,166,192],"the":[8,28,31,39,65,68,72,80,85,93,155,161,172,184,212],"field":[9],"of":[10,67,95,100,112,154,187,205],"natural":[11],"language":[12],"processing":[13],"(NLP)":[14],"applications":[15],"including":[16],"information":[17],"retrieval":[18],"(IR).":[19],"Traditional":[20],"event":[21,40,48,96,120,157,162,214],"realized":[24],"with":[25,79],"two":[26],"methods:":[27],"pipeline":[29,36],"and":[30,50,71,130,134,148,159,201],"joint":[32,57,81],"methods.":[34],"The":[35,56],"method":[37,59,83,144],"determines":[38],"by":[41],"triggering":[42],"word":[43,70],"recognition":[44],"to":[45,53,63,150,171,194,221],"further":[46],"implement":[47,64],"prone":[52],"error":[54],"cascading.":[55],"applies":[60],"deep":[61],"learning":[62],"completion":[66],"trigger":[69],"argument":[73],"role":[74],"classification":[75],"task.":[76],"Most":[77],"studies":[78,106],"adopt":[84],"CNN":[86,179],"or":[87,180],"RNN":[88],"network":[89,129,133],"structure.":[90],"However,":[91],"case":[94],"extraction,":[97],"deeper":[98],"understanding":[99],"complex":[101],"contexts":[102],"required.":[104],"Existing":[105],"do":[107],"not":[108],"make":[109],"full":[110],"use":[111,175],"syntactic":[113],"relations.":[114],"This":[115],"paper":[116],"proposes":[117],"a":[118,127,131,152,167,196],"novel":[119],"model,":[122],"which":[123,164],"built":[125],"upon":[126],"Tree-LSTM":[128,147,193],"Bi-GRU":[132,149],"carries":[135],"syntactically":[136],"related":[137],"information.":[138],"It":[139],"illustrated":[141],"that":[142,174,211],"this":[143],"simultaneously":[145],"uses":[146],"obtain":[151],"representation":[153],"candidate":[156,199],"sentence":[158],"identify":[160],"type,":[163],"results":[165,209,219],"better":[168],"performance":[169],"compared":[170,220],"ones":[173],"chain":[176],"structured":[177],"LSTM,":[178],"only":[181],"Tree-LSTM.":[182],"Finally,":[183],"hidden":[185],"state":[186],"each":[188],"node":[189],"used":[191],"predict":[195],"label":[197],"for":[198],"arguments":[200,204],"identify/classify":[202],"all":[203],"event.":[207],"Lab":[208],"show":[210],"proposed":[213],"model":[216],"achieves":[217],"competitive":[218],"previous":[222],"works.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
