{"id":"https://openalex.org/W3112198912","doi":"https://doi.org/10.1155/2020/8859407","title":"Continuous Similarity Learning with Shared Neural Semantic Representation for Joint Event Detection and Evolution","display_name":"Continuous Similarity Learning with Shared Neural Semantic Representation for Joint Event Detection and Evolution","publication_year":2020,"publication_date":"2020-12-12","ids":{"openalex":"https://openalex.org/W3112198912","doi":"https://doi.org/10.1155/2020/8859407","mag":"3112198912","pmid":"https://pubmed.ncbi.nlm.nih.gov/33414822"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8859407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8859407","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8859407.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2020/8859407.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089769808","display_name":"Pengpeng Zhou","orcid":"https://orcid.org/0000-0002-5359-1540"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Zhou","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5359-1540","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101991311","display_name":"Yao Luo","orcid":"https://orcid.org/0009-0005-5719-3813"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Luo","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025534588","display_name":"Nianwen Ning","orcid":"https://orcid.org/0000-0001-9290-0361"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianwen Ning","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011380715","display_name":"Zhen Cao","orcid":"https://orcid.org/0000-0002-8120-9951"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Cao","raw_affiliation_strings":["Rice University, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102996105","display_name":"Bingjing Jia","orcid":"https://orcid.org/0000-0003-3802-2371"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingjing Jia","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101432128","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0002-7112-126X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7112-126X","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101432128"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.4006,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60663811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9952999949455261,"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/T10028","display_name":"Topic Modeling","score":0.9932000041007996,"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":0.8203380703926086},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7589507102966309},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7412072420120239},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6489164233207703},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6202582120895386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47697314620018005},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4547528326511383},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4495677351951599},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4439029097557068},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.43104618787765503},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4273568093776703},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.42146554589271545},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.410483717918396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3717571794986725},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.370974600315094},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36805495619773865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3505864143371582},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21173593401908875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8203380703926086},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7589507102966309},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7412072420120239},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6489164233207703},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6202582120895386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47697314620018005},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4547528326511383},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4495677351951599},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4439029097557068},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.43104618787765503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4273568093776703},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.42146554589271545},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.410483717918396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3717571794986725},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.370974600315094},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36805495619773865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3505864143371582},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21173593401908875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","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":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1155/2020/8859407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8859407","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8859407.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:33414822","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33414822","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:299dfbc5668a460abc008a9a5e5da2e7","is_oa":true,"landing_page_url":"https://doaj.org/article/299dfbc5668a460abc008a9a5e5da2e7","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":"Computational Intelligence and Neuroscience, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6694631","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7752253","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7752253","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7752253","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2020/8859407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8859407","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8859407.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1815222911","display_name":null,"funder_award_id":"61972047","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2389638903","display_name":null,"funder_award_id":"2018YFC0831500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2877516910","display_name":null,"funder_award_id":"2019XD-D01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3133715941","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3413305167","display_name":null,"funder_award_id":"61972047","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3915844376","display_name":"\u878d\u5408\u89c6\u9891\u6570\u636e\u7684\u793e\u4ea4\u7f51\u7edc\u5e7f\u5ea6\u5b66\u4e60\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61972047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4757933863","display_name":null,"funder_award_id":"2019XD-D01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4962807355","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G570903984","display_name":null,"funder_award_id":"2019XD-D01","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6432541498","display_name":null,"funder_award_id":"2018YFC0831500","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6687479257","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7208197312","display_name":null,"funder_award_id":"2018YFC0831500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3112198912.pdf","grobid_xml":"https://content.openalex.org/works/W3112198912.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W57875014","https://openalex.org/W1591708989","https://openalex.org/W1594112393","https://openalex.org/W1673310716","https://openalex.org/W1889090040","https://openalex.org/W1904365287","https://openalex.org/W1924770834","https://openalex.org/W1997164082","https://openalex.org/W2011430131","https://openalex.org/W2056894934","https://openalex.org/W2060314721","https://openalex.org/W2070507812","https://openalex.org/W2079034628","https://openalex.org/W2098318489","https://openalex.org/W2123661878","https://openalex.org/W2125099364","https://openalex.org/W2134033474","https://openalex.org/W2135909747","https://openalex.org/W2136716480","https://openalex.org/W2140427797","https://openalex.org/W2147674242","https://openalex.org/W2153579005","https://openalex.org/W2160654919","https://openalex.org/W2167124955","https://openalex.org/W2171317718","https://openalex.org/W2182412594","https://openalex.org/W2250752175","https://openalex.org/W2250899105","https://openalex.org/W2251939518","https://openalex.org/W2404243041","https://openalex.org/W2470673105","https://openalex.org/W2475245295","https://openalex.org/W2510691166","https://openalex.org/W2567359325","https://openalex.org/W2741405589","https://openalex.org/W2745188823","https://openalex.org/W2763244488","https://openalex.org/W2767702355","https://openalex.org/W2899708032","https://openalex.org/W2907375036","https://openalex.org/W2963289013","https://openalex.org/W2969278054","https://openalex.org/W2981183580","https://openalex.org/W2986729576","https://openalex.org/W3004844052","https://openalex.org/W3013642887","https://openalex.org/W3024856967","https://openalex.org/W3026368015","https://openalex.org/W3027864066","https://openalex.org/W3031840307","https://openalex.org/W4233135949","https://openalex.org/W4234917632","https://openalex.org/W4294170691","https://openalex.org/W6602344235","https://openalex.org/W6664472811","https://openalex.org/W6666915495","https://openalex.org/W6675806119","https://openalex.org/W6678057237","https://openalex.org/W6682046479","https://openalex.org/W6713434764","https://openalex.org/W6731631983"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W3200230513","https://openalex.org/W4234772502","https://openalex.org/W2380685755","https://openalex.org/W2252100032","https://openalex.org/W2769501189","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349"],"abstract_inverted_index":{"In":[0],"the":[1,4,27,52,79,97,104,133,144,151,157,164,196,205,211,248,254,262],"era":[2],"of":[3,7,48,55,99,106,232],"rapid":[5],"development":[6],"today's":[8],"Internet,":[9],"people":[10,25],"often":[11,86],"feel":[12],"overwhelmed":[13],"by":[14],"vast":[15],"official":[16],"news":[17,28,100,138,169,191],"streams":[18,139],"or":[19,199],"unofficial":[20],"self-media":[21],"tweets.":[22],"To":[23,114],"help":[24],"obtain":[26],"topics":[29],"they":[30],"care":[31],"about,":[32],"there":[33],"is":[34,85,111,148],"a":[35,59,91,120,223],"growing":[36],"need":[37],"for":[38,168],"systems":[39],"that":[40],"can":[41],"extract":[42],"important":[43],"events":[44,56,130,201,233],"from":[45,137],"this":[46,141,240],"amount":[47],"data":[49],"and":[50,67,109,124,131,234,251],"construct":[51,222],"evolution":[53,68,110,135],"procedure":[54],"logically":[57],"into":[58],"story.":[60,207],"Most":[61],"existing":[62],"methods":[63],"treat":[64],"event":[65,107,134,198],"detection":[66,108],"as":[69],"two":[70,83,173,177,190,200],"independent":[71],"subtasks":[72,84],"under":[73],"an":[74],"integrated":[75],"pipeline":[76],"setting.":[77],"However,":[78],"interdependence":[80],"between":[81],"these":[82,116],"ignored,":[87],"which":[88,154,228],"leads":[89],"to":[90,96,128,162,187,195,204,210,221,247],"biased":[92],"propagation.":[93],"Besides,":[94],"due":[95,209],"limitations":[98],"documents'":[101],"semantic":[102,166],"representation,":[103],"performance":[105],"still":[112],"limited.":[113],"tackle":[115],"problems,":[117],"we":[118,218],"propose":[119],"Joint":[121],"Event":[122],"Detection":[123],"Evolution":[125],"(JEDE)":[126],"model,":[127],"detect":[129],"discover":[132],"relationships":[136],"in":[140],"paper.":[142],"Specifically,":[143],"proposed":[145,255],"JEDE":[146],"model":[147,256],"built":[149],"upon":[150],"Siamese":[152],"network,":[153],"first":[155],"introduces":[156],"bidirectional":[158],"GRU":[159],"attention":[160],"network":[161],"learn":[163],"vector-based":[165],"representation":[167,250],"documents":[170,192],"shared":[171,249],"across":[172],"subtask":[174],"networks.":[175],"Then,":[176],"continuous":[178],"similarity":[179],"metrics":[180],"are":[181,193,202],"learned":[182],"using":[183],"stacked":[184],"neural":[185],"networks":[186],"judge":[188],"whether":[189],"related":[194,203],"same":[197,206],"Furthermore,":[208],"limited":[212],"available":[213],"dataset":[214,243],"with":[215],"ground":[216],"truths,":[217],"make":[219],"efforts":[220],"new":[224],"dataset,":[225],"named":[226],"EDENS,":[227],"contains":[229],"valid":[230],"labels":[231],"stories.":[235],"The":[236],"experimental":[237],"results":[238],"on":[239],"newly":[241],"created":[242],"demonstrate":[244],"that,":[245],"thanks":[246],"joint":[252],"training,":[253],"consistently":[257],"achieves":[258],"significant":[259],"improvements":[260],"over":[261],"baseline":[263],"methods.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
