{"id":"https://openalex.org/W2963360413","doi":"https://doi.org/10.18653/v1/p18-1201","title":"Zero-Shot Transfer Learning for Event Extraction","display_name":"Zero-Shot Transfer Learning for Event Extraction","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963360413","doi":"https://doi.org/10.18653/v1/p18-1201","mag":"2963360413"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1201","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1201","pdf_url":"https://www.aclweb.org/anthology/P18-1201.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-1201.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042819803","display_name":"Lifu Huang","orcid":"https://orcid.org/0000-0002-2743-7718"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lifu Huang","raw_affiliation_strings":["Rensselaer Polytechnic Institute,"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute,","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103178893","display_name":"Heng Ji","orcid":"https://orcid.org/0000-0002-7954-7994"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Ji","raw_affiliation_strings":["Rensselaer Polytechnic Institute,"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute,","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076048884","display_name":"Kyunghyun Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyunghyun Cho","raw_affiliation_strings":["New York University,"],"affiliations":[{"raw_affiliation_string":"New York University,","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033006575","display_name":"Ido Dagan","orcid":"https://orcid.org/0000-0003-3415-3374"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ido Dagan","raw_affiliation_strings":["Bar-Ilan University,"],"affiliations":[{"raw_affiliation_string":"Bar-Ilan University,","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101404695","display_name":"Sebastian Riedel","orcid":"https://orcid.org/0000-0002-3655-2486"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sebastian Riedel","raw_affiliation_strings":["University College London,"],"affiliations":[{"raw_affiliation_string":"University College London,","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009361768","display_name":"Clare R. Voss","orcid":"https://orcid.org/0000-0001-5023-6474"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clare Voss","raw_affiliation_strings":["US Army Research Lab"],"affiliations":[{"raw_affiliation_string":"US Army Research Lab","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042819803"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":14.0468,"has_fulltext":true,"cited_by_count":176,"citation_normalized_percentile":{"value":0.98985541,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2160","last_page":"2170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.8051037788391113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8035213947296143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6351978778839111},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6049644947052002},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5934587717056274},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5467341542243958},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.4613376557826996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34587258100509644},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34067749977111816}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.8051037788391113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8035213947296143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6351978778839111},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6049644947052002},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5934587717056274},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5467341542243958},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.4613376557826996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34587258100509644},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34067749977111816},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-1201","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1201","pdf_url":"https://www.aclweb.org/anthology/P18-1201.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1201","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1201","pdf_url":"https://www.aclweb.org/anthology/P18-1201.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6231356856","display_name":null,"funder_award_id":"FA8650-17-C-7715","funder_id":"https://openalex.org/F4320332467","funder_display_name":"U.S. Air Force"}],"funders":[{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963360413.pdf","grobid_xml":"https://content.openalex.org/works/W2963360413.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W93016980","https://openalex.org/W652269744","https://openalex.org/W1614298861","https://openalex.org/W1877040722","https://openalex.org/W1996787131","https://openalex.org/W2012179495","https://openalex.org/W2056458023","https://openalex.org/W2061397531","https://openalex.org/W2101293500","https://openalex.org/W2102563561","https://openalex.org/W2104012281","https://openalex.org/W2108743083","https://openalex.org/W2115792525","https://openalex.org/W2119465010","https://openalex.org/W2123024445","https://openalex.org/W2123661878","https://openalex.org/W2124033848","https://openalex.org/W2126539437","https://openalex.org/W2127978399","https://openalex.org/W2128364334","https://openalex.org/W2130714105","https://openalex.org/W2147444342","https://openalex.org/W2148540243","https://openalex.org/W2165516035","https://openalex.org/W2165962657","https://openalex.org/W2209594346","https://openalex.org/W2247412337","https://openalex.org/W2250575108","https://openalex.org/W2250874314","https://openalex.org/W2250999640","https://openalex.org/W2251171690","https://openalex.org/W2251628379","https://openalex.org/W2251939518","https://openalex.org/W2252123671","https://openalex.org/W2296308987","https://openalex.org/W2471366537","https://openalex.org/W2475245295","https://openalex.org/W2508618307","https://openalex.org/W2512522169","https://openalex.org/W2514651853","https://openalex.org/W2547450774","https://openalex.org/W2566266660","https://openalex.org/W2577250310","https://openalex.org/W2596142952","https://openalex.org/W2601051138","https://openalex.org/W2601677911","https://openalex.org/W2772217839","https://openalex.org/W2962762077","https://openalex.org/W2962881743","https://openalex.org/W2963578915","https://openalex.org/W2963898943","https://openalex.org/W2963955422","https://openalex.org/W2964224278","https://openalex.org/W3029670436","https://openalex.org/W4213168938","https://openalex.org/W4298870559","https://openalex.org/W4361868036","https://openalex.org/W6600741150","https://openalex.org/W6812014127"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2556260348"],"abstract_inverted_index":{"Most":[0],"previous":[1],"supervised":[2,151],"event":[3,21,33,45,54,72,91,94,117,127,138,160],"extraction":[4,34],"methods":[5],"have":[6],"relied":[7],"on":[8,82,135],"features":[9],"derived":[10],"from":[11,154],"manual":[12,108,131,144],"annotations,":[13,145],"and":[14,35,63,70,74],"thus":[15],"cannot":[16],"be":[17,122],"applied":[18,123],"to":[19,47,67,124,149],"new":[20,84,125],"types":[22,75,128],"without":[23,129,143],"extra":[24],"annotation":[25],"effort.":[26],"We":[27,56],"take":[28],"a":[29,39,48,52,58,77,112,150],"fresh":[30],"look":[31],"at":[32],"model":[36,152],"it":[37],"as":[38,103],"generic":[40],"grounding":[41],"problem:":[42],"mapping":[43],"each":[44,90],"mention":[46],"specific":[49],"type":[50,95],"in":[51,100],"target":[53],"ontology.":[55],"design":[57],"transferable":[59],"architecture":[60],"of":[61,115],"structural":[62],"compositional":[64],"neural":[65],"networks":[66],"jointly":[68],"represent":[69],"map":[71],"mentions":[73],"into":[76],"shared":[78],"semantic":[79],"space.":[80],"Based":[81],"this":[83,101,140],"framework,":[85,142],"we":[86],"can":[87,121],"select,":[88],"for":[89,111],"mention,":[92],"the":[93],"which":[96],"is":[97],"semantically":[98],"closest":[99],"space":[102],"its":[104],"type.":[105],"By":[106],"leveraging":[107],"annotations":[109],"available":[110],"small":[113],"set":[114],"existing":[116],"types,":[118,139],"our":[119],"framework":[120],"unseen":[126,137],"additional":[130],"annotations.":[132],"When":[133],"tested":[134],"23":[136],"zeroshot":[141],"achieves":[146],"performance":[147],"comparable":[148],"trained":[153],"3,000":[155],"sentences":[156],"annotated":[157],"with":[158],"500":[159],"mentions.":[161],"1":[162]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":38},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":14}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}