{"id":"https://openalex.org/W3094235973","doi":"https://doi.org/10.1145/3422713.3422723","title":"Research on Entity Relation Extraction in Education Field Based on Multi-feature Deep Learning","display_name":"Research on Entity Relation Extraction in Education Field Based on Multi-feature Deep Learning","publication_year":2020,"publication_date":"2020-09-18","ids":{"openalex":"https://openalex.org/W3094235973","doi":"https://doi.org/10.1145/3422713.3422723","mag":"3094235973"},"language":"en","primary_location":{"id":"doi:10.1145/3422713.3422723","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3422713.3422723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Big Data Technologies","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/A5022357857","display_name":"Mengxue Song","orcid":null},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengxue Song","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Shandong Qingdao, CHN"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Shandong Qingdao, CHN","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100297622","display_name":"Jingsheng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsheng Zhao","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Shandong Qingdao, CHN"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Shandong Qingdao, CHN","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022713403","display_name":"Xiang Gao","orcid":"https://orcid.org/0000-0001-8510-7373"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Gao","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Shandong Qingdao, CHN"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Shandong Qingdao, CHN","institution_ids":["https://openalex.org/I44468530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022357857"],"corresponding_institution_ids":["https://openalex.org/I44468530"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63897993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9460999965667725,"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":0.9460999965667725,"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":0.9205999970436096,"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":0.8440960049629211},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7214920520782471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7140539884567261},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6874427199363708},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.6861790418624878},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6442598700523376},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5904948711395264},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5597760677337646},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5521279573440552},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.526566743850708},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.5176937580108643},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5063601732254028},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5039543509483337},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4681701064109802},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4268907904624939},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.24507620930671692},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.158441424369812},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1040220558643341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8440960049629211},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7214920520782471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7140539884567261},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6874427199363708},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.6861790418624878},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6442598700523376},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5904948711395264},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5597760677337646},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5521279573440552},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.526566743850708},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5176937580108643},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5063601732254028},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5039543509483337},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4681701064109802},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4268907904624939},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.24507620930671692},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.158441424369812},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1040220558643341},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3422713.3422723","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3422713.3422723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2592549418"],"related_works":["https://openalex.org/W2946016983","https://openalex.org/W4224098276","https://openalex.org/W2602482767","https://openalex.org/W3179488938","https://openalex.org/W2772371429","https://openalex.org/W3030709487","https://openalex.org/W4210562903","https://openalex.org/W4281986673","https://openalex.org/W2144822987","https://openalex.org/W2893319621"],"abstract_inverted_index":{"Relation":[0],"extraction":[1,8,61],"is":[2,81,87,131],"the":[3,16,22,26,29,34,39,42,50,66,84,99,121,149],"core":[4],"task":[5],"of":[6,15,25,38,55,68,123],"information":[7,54],"and":[9,31,52,77,97,103,127],"natural":[10],"language":[11],"processing":[12],"tasks.":[13],"Most":[14],"existing":[17],"methods":[18],"stop":[19],"at":[20],"extracting":[21],"context":[23,36,92,125],"characteristics":[24,37],"entity":[27,40,59,78,95,109,135],"in":[28,41,148],"sentence,":[30],"sometimes":[32],"ignore":[33],"global":[35,53,114,128],"whole":[43],"corpus.":[44],"In":[45],"order":[46],"to":[47,89,112,133],"fully":[48],"consider":[49],"local":[51],"text,":[56],"a":[57],"Chinese":[58],"relation":[60,136],"model":[62],"(Cooc_Att_Bilstm)":[63],"based":[64],"on":[65],"combination":[67,122],"multi-feature":[69],"attention":[70],"Bidirectional":[71],"Long":[72],"Short-term":[73],"Memory":[74],"(Bilstm)":[75],"network":[76,80,111],"co-occurrence":[79,110],"proposed.":[82],"First,":[83],"attention-based":[85],"Bilstm":[86],"utilized":[88],"extract":[90,113,134],"sentence-level":[91,124],"features":[93,116,126,130],"for":[94,117],"pairs":[96],"combine":[98],"lexical,":[100],"syntactic,":[101],"semantic":[102],"positional":[104],"features.":[105],"Then,":[106],"construct":[107],"an":[108],"corpus-level":[115,129],"each":[118],"entity.":[119],"Finally,":[120],"used":[132],"extraction.":[137],"The":[138],"experimental":[139],"results":[140],"show":[141],"that":[142],"this":[143],"method":[144],"has":[145],"good":[146],"performance":[147],"manual":[150],"labeling":[151],"data":[152],"set.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}