{"id":"https://openalex.org/W4390401466","doi":"https://doi.org/10.1109/icist59754.2023.10367141","title":"Metric Learning for Zero-Shot Event Extraction With Graph Convolutional Networks","display_name":"Metric Learning for Zero-Shot Event Extraction With Graph Convolutional Networks","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4390401466","doi":"https://doi.org/10.1109/icist59754.2023.10367141"},"language":"en","primary_location":{"id":"doi:10.1109/icist59754.2023.10367141","doi":"https://doi.org/10.1109/icist59754.2023.10367141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icist59754.2023.10367141","pdf_url":null,"source":{"id":"https://openalex.org/S4306419561","display_name":"International Conference on Information Science and Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th International Conference on Information Science and Technology (ICIST)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5100414211","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0002-3667-6323","observed_orcids":["https://orcid.org/0000-0002-3667-6323"]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Northeastern University,College of Software,Shenyang,China","College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Software,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Siming Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siming Li","raw_affiliation_strings":["Northeastern University,College of Software,Shenyang,China","College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Software,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114113775","display_name":"Jiongting Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiongting Chen","raw_affiliation_strings":["Northeastern University,College of Software,Shenyang,China","College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Software,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105287708","display_name":"Zibo Cui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibo Cui","raw_affiliation_strings":["Northeastern University,College of Software,Shenyang,China","College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Software,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055136222","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0003-1461-660X","observed_orcids":["https://orcid.org/0000-0003-1461-660X"]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["Northeastern University,College of Software,Shenyang,China","College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Software,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.1775,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44178242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"512","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9437999725341797,"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":0.9437999725341797,"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":0.024399999529123306,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.0052999998442828655,"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/metric-learning","display_name":"metric learning","score":0.9850000143051147},{"id":"https://openalex.org/keywords/graph-convolutional-networks","display_name":"graph convolutional networks","score":0.996999979019165},{"id":"https://openalex.org/keywords/event-ontology","display_name":"event ontology","score":0.6200000047683716},{"id":"https://openalex.org/keywords/loss-functions","display_name":"loss functions","score":0.7459999918937683},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.906000018119812},{"id":"https://openalex.org/keywords/event-type-classification","display_name":"event type classification","score":0.5370000004768372},{"id":"https://openalex.org/keywords/ace2005","display_name":"ACE2005","score":0.8790000081062317},{"id":"https://openalex.org/keywords/genia","display_name":"GENIA","score":1.0}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666131854057312},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6351393461227417},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5329718589782715},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5265082716941833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511361300945282},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4712137281894684},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42790770530700684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36565089225769043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3563438653945923},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icist59754.2023.10367141","doi":"https://doi.org/10.1109/icist59754.2023.10367141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icist59754.2023.10367141","pdf_url":null,"source":{"id":"https://openalex.org/S4306419561","display_name":"International Conference on Information Science and Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th International Conference on Information Science and Technology (ICIST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W154351976","https://openalex.org/W1614298861","https://openalex.org/W2106053110","https://openalex.org/W2138243089","https://openalex.org/W2138621090","https://openalex.org/W2296308987","https://openalex.org/W2784874046","https://openalex.org/W2788474500","https://openalex.org/W2890773826","https://openalex.org/W2891553865","https://openalex.org/W2962898354","https://openalex.org/W2963350250","https://openalex.org/W2963360413","https://openalex.org/W2963466847","https://openalex.org/W2963988212","https://openalex.org/W2970763364","https://openalex.org/W3011927872","https://openalex.org/W3036976209","https://openalex.org/W3089124799","https://openalex.org/W3093811011","https://openalex.org/W3098881736","https://openalex.org/W3104597568","https://openalex.org/W3153870750","https://openalex.org/W3174870841","https://openalex.org/W3177112239","https://openalex.org/W3209984917","https://openalex.org/W4287854903","https://openalex.org/W4385572969","https://openalex.org/W4385573953","https://openalex.org/W4386576861","https://openalex.org/W6606243021"],"related_works":["https://openalex.org/W2963360413","https://openalex.org/W3174870841","https://openalex.org/W7016129184","https://openalex.org/W4396509140","https://openalex.org/W4404412141","https://openalex.org/W3153870750","https://openalex.org/W4407976765","https://openalex.org/W4385572128","https://openalex.org/W4393150119","https://openalex.org/W4320536885"],"abstract_inverted_index":{"Instead":[0],"of":[1,28,32,40,76],"deriving":[2],"features":[3],"from":[4],"costly":[5],"manual":[6],"annotation,":[7],"zero-shot":[8,47,70],"approaches":[9],"to":[10,17,45,104,119],"event":[11,15,24,48,71],"extraction":[12,72],"maps":[13],"every":[14],"mention":[16],"the":[18,46,69,74,85,109,115,120],"predefined":[19],"type":[20],"in":[21],"a":[22,38],"target":[23],"ontology":[25],"directly.":[26],"Because":[27],"their":[29],"natural":[30],"advantage":[31],"representing":[33],"structure":[34],"features,":[35],"there":[36],"is":[37,102],"trend":[39],"applying":[41],"graph":[42,57,111],"convolutional":[43,58,112],"networks":[44],"extraction.":[49],"However,":[50],"previous":[51],"works":[52],"have":[53],"focused":[54],"on":[55,127],"refining":[56],"layers":[59],"for":[60],"better":[61,121],"representation.":[62],"In":[63,82],"this":[64],"paper,":[65],"we":[66,88],"explicitly":[67],"frame":[68],"as":[73,99],"combination":[75],"representation":[77,86],"learning":[78,92],"and":[79,132],"metric":[80,91],"learning.":[81],"addition,":[83],"except":[84],"component,":[87],"explore":[89],"various":[90],"algorithms":[93],"by":[94],"utilizing":[95],"different":[96],"loss":[97,116],"functions":[98],"well,":[100],"which":[101],"easy":[103],"implement.":[105],"Surprisingly,":[106],"even":[107],"with":[108],"vanilla":[110],"network,":[113],"replacing":[114],"function":[117],"leads":[118],"performance":[122],"over":[123],"current":[124],"state-of-the-art":[125],"methods":[126],"two":[128],"popular":[129],"datasets,":[130],"ACE2005":[131],"GENIA.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-12-30T00:00:00"}