{"id":"https://openalex.org/W3217490106","doi":"https://doi.org/10.1109/crc52766.2021.9620138","title":"FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling","display_name":"FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling","publication_year":2021,"publication_date":"2021-10-09","ids":{"openalex":"https://openalex.org/W3217490106","doi":"https://doi.org/10.1109/crc52766.2021.9620138","mag":"3217490106"},"language":"en","primary_location":{"id":"doi:10.1109/crc52766.2021.9620138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc52766.2021.9620138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5045520750","display_name":"Zulong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zulong Ma","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036273604","display_name":"Jiamin Lu","orcid":"https://orcid.org/0000-0002-0643-0736"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamin Lu","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019292332","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0002-1356-8717"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062187197","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0003-4610-9741"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Feng","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources School of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045520750"],"corresponding_institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18635026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"314","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9699000120162964,"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":0.963699996471405,"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/event","display_name":"Event (particle physics)","score":0.7172656655311584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6421502828598022},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.6312569379806519},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5146149396896362},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.513297975063324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49091988801956177},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.49067580699920654},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.46760857105255127},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.42283114790916443},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42254024744033813},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3935684561729431},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3870324492454529},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2413206696510315},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12310117483139038},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.08636349439620972}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7172656655311584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6421502828598022},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6312569379806519},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5146149396896362},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.513297975063324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49091988801956177},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.49067580699920654},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.46760857105255127},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.42283114790916443},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42254024744033813},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3935684561729431},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3870324492454529},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2413206696510315},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12310117483139038},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.08636349439620972},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc52766.2021.9620138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc52766.2021.9620138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1940872118","https://openalex.org/W2064675550","https://openalex.org/W2105594594","https://openalex.org/W2105644991","https://openalex.org/W2143612262","https://openalex.org/W2147880316","https://openalex.org/W2250576901","https://openalex.org/W2250999640","https://openalex.org/W2407338347","https://openalex.org/W2896457183","https://openalex.org/W2952230511","https://openalex.org/W2962835228","https://openalex.org/W2963208801","https://openalex.org/W2971104547","https://openalex.org/W3156354351","https://openalex.org/W6640362995","https://openalex.org/W6675760969","https://openalex.org/W6682082992","https://openalex.org/W6683738474","https://openalex.org/W6714112401","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386","https://openalex.org/W2131379912"],"abstract_inverted_index":{"Due":[0],"to":[1,22,34,41,95],"unique":[2],"climatic":[3],"characteristics,":[4],"China":[5],"suffers":[6],"from":[7,26,38],"frequent":[8],"disasters":[9,25],"such":[10],"as":[11],"typhoons,":[12],"droughts,":[13],"and":[14,113,126,130,143],"floods":[15],"almost":[16],"every":[17],"year.":[18],"It":[19,90],"is":[20,32],"necessary":[21],"study":[23],"the":[24,56,77,96,101,109,115],"history.":[27],"The":[28],"event":[29,46,57,80,85,118],"extraction":[30,58,86,119],"model":[31,87,136],"effective":[33],"mine":[35],"disaster":[36,128],"events":[37],"historical":[39,45],"documents":[40],"help":[42],"people":[43],"organize":[44],"information":[47],"in":[48],"a":[49,61,69],"more":[50,120],"structured":[51],"way.":[52],"Common":[53],"approaches":[54],"transform":[55],"task":[59,64],"into":[60],"sequence":[62],"labeling":[63],"by":[65],"modeling":[66],"words":[67],"with":[68],"static":[70],"vector":[71],"regardless":[72],"of":[73,79,111,117],"polysemy,":[74],"which":[75,99],"affects":[76],"performance":[78],"extraction.":[81],"We":[82],"propose":[83],"an":[84],"named":[88],"FEE.":[89],"introduces":[91],"dynamic":[92],"word":[93],"vectors":[94],"BiLSTM-CRF":[97],"mechanism,":[98],"solves":[100],"problem":[102],"that":[103,134],"existing":[104],"models":[105,139],"do":[106],"not":[107],"consider":[108],"ambiguity":[110],"words,":[112],"makes":[114],"result":[116],"accurate.":[121],"Experimental":[122],"results":[123],"on":[124,140],"flood":[125],"drought":[127],"dataset":[129,132],"general":[131],"show":[133],"our":[135],"outperforms":[137],"traditional":[138],"precision,":[141],"recall,":[142],"F":[144],"<inf":[145],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[147],".":[148]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
