{"id":"https://openalex.org/W2903593149","doi":"https://doi.org/10.1109/iccais.2018.8570698","title":"Military Scenario Named Entity Recognition Method Based on Deep Neural Network","display_name":"Military Scenario Named Entity Recognition Method Based on Deep Neural Network","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2903593149","doi":"https://doi.org/10.1109/iccais.2018.8570698","mag":"2903593149"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2018.8570698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5100451954","display_name":"Xuefeng Wang","orcid":"https://orcid.org/0000-0002-3974-3421"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuefeng Wang","raw_affiliation_strings":["College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103179009","display_name":"Xiaofei Zhou","orcid":"https://orcid.org/0000-0001-9354-1209"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Zhou","raw_affiliation_strings":["College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440903","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0001-9743-2034"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048113137","display_name":"Jianfeng Hou","orcid":"https://orcid.org/0000-0001-5759-0767"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Hou","raw_affiliation_strings":["College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College Of Info. Communications, National Univ. of Defense Tech, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100451954"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60647721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"137","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9746999740600586,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.8380351066589355},{"id":"https://openalex.org/keywords/battlefield","display_name":"Battlefield","score":0.7799761891365051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652344703674316},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.7119932770729065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6872596740722656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6266975402832031},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.589133620262146},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5089738368988037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4696466326713562},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4311376214027405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34262073040008545},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1204734742641449}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.8380351066589355},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.7799761891365051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652344703674316},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.7119932770729065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6872596740722656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6266975402832031},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.589133620262146},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5089738368988037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4696466326713562},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4311376214027405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34262073040008545},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1204734742641449},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C195244886","wikidata":"https://www.wikidata.org/wiki/Q41493","display_name":"Ancient history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2018.8570698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2209255166","https://openalex.org/W2296283641","https://openalex.org/W2559281960","https://openalex.org/W2757931374"],"related_works":["https://openalex.org/W4250494529","https://openalex.org/W1964783010","https://openalex.org/W2399696375","https://openalex.org/W45206245","https://openalex.org/W2211396092","https://openalex.org/W2061834489","https://openalex.org/W2751906762","https://openalex.org/W3088215229","https://openalex.org/W2078793151","https://openalex.org/W3047727388"],"abstract_inverted_index":{"For":[0],"the":[1,6,26,40,46,53,70,85,93,101,107,114],"military":[2,41,56,86],"scenario":[3,87],"named":[4,11,88,110],"entity,":[5],"article":[7],"proposes":[8],"a":[9],"supervised":[10],"entity":[12,111],"recognition":[13,98,112],"method":[14,44,94,103],"based":[15,65],"on":[16,66],"deep":[17],"neural":[18,63],"network,":[19],"which":[20],"aims":[21],"to":[22,77,106],"identify":[23,84],"and":[24,31,52,69,82,104],"extract":[25,79],"troops,":[27],"geographical":[28],"location,":[29],"weapons":[30],"equipment,":[32],"organization,":[33],"facilities,":[34],"battlefield":[35],"environment,":[36],"time,":[37],"etc.":[38],"in":[39,97,113],"scenario.":[42],"The":[43],"avoids":[45],"complexity":[47],"of":[48,55,109],"artificially":[49],"constructed":[50],"features":[51],"inaccuracy":[54],"text":[57,80],"segmentation.":[58],"Bi-directional":[59],"Long":[60],"Short-Term":[61],"Memory":[62],"network":[64],"character":[67],"vector":[68],"conditional":[71],"random":[72],"field":[73],"model":[74],"are":[75],"used":[76],"automatically":[78],"features,":[81],"then":[83],"entities.":[89],"Experiments":[90],"show":[91],"that":[92],"is":[95],"higher":[96],"accuracy":[99],"than":[100],"traditional":[102],"close":[105],"level":[108],"general":[115],"field.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}