{"id":"https://openalex.org/W7126389751","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.80","title":"Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection","display_name":"Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126389751","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.80"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.80","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.80","pdf_url":"https://aclanthology.org/2024.findings-eacl.80.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.80.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124609527","display_name":"David Duki\u0107","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Duki\u0107","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033913299","display_name":"Kiril Gashteovski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiril Gashteovski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124573612","display_name":"Goran Glava\u0161","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goran Glava\u0161","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123898102","display_name":"Jan \u0160najder","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Snajder","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57242485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1197","last_page":"1213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.06459999829530716,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.06459999829530716,"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":0.051899999380111694,"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/T11719","display_name":"Data Quality and Management","score":0.034299999475479126,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5382000207901001},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44769999384880066},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3716000020503998},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.3628000020980835},{"id":"https://openalex.org/keywords/open-domain","display_name":"Open domain","score":0.3398999869823456},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.33250001072883606},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.32580000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370000243186951},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5382000207901001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45500001311302185},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44769999384880066},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34150001406669617},{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3181000053882599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.80","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.80","pdf_url":"https://aclanthology.org/2024.findings-eacl.80.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.80","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.80","pdf_url":"https://aclanthology.org/2024.findings-eacl.80.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126389751.pdf","grobid_xml":"https://content.openalex.org/works/W7126389751.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Event":[0],"detection":[1,21],"is":[2],"a":[3,74,113,119],"crucial":[4],"information":[5,77],"extraction":[6,78],"task":[7,16],"in":[8,26,52,62,95,108],"many":[9],"domains,":[10,42,97],"such":[11],"as":[12,91],"Wikipedia":[13],"or":[14],"news.The":[15],"typically":[17],"relies":[18],"on":[19,133],"trigger":[20],"(TD)":[22],"-identifying":[23],"token":[24],"spans":[25],"the":[27,33,57,134,145,150,153],"text":[28],"that":[29,82,144],"evoke":[30],"specific":[31],"events.While":[32],"notion":[34],"of":[35,59,152],"triggers":[36,66,94],"should":[37],"ideally":[38],"be":[39],"universal":[40],"across":[41],"domain":[43,102,116,122],"transfer":[44,61,103,128,140],"for":[45],"TD":[46,63,101,139],"from":[47,73,112],"highto":[48],"low-resource":[49],"domains":[50,68],"results":[51],"significant":[53],"performance":[54,106],"drops.We":[55],"address":[56],"problem":[58],"negative":[60],"by":[64],"coupling":[65],"between":[67,93],"using":[69],"subject-object":[70],"relations":[71,84],"obtained":[72],"rule-based":[75],"open":[76],"(OIE)":[79],"system.We":[80],"demonstrate":[81,143],"OIE":[83,154],"injected":[85],"through":[86],"multi-task":[87],"training":[88],"can":[89],"act":[90],"mediators":[92],"different":[96],"enhancing":[98],"zero-and":[99],"few-shot":[100],"and":[104],"reducing":[105],"drops,":[107],"particular":[109],"when":[110],"transferring":[111],"high-resource":[114],"source":[115],"(Wikipedia)":[117],"to":[118,149],"low(er)-resource":[120],"target":[121,135],"(news).Additionally,":[123],"we":[124,142],"combine":[125],"this":[126],"improved":[127],"with":[129],"masked":[130],"language":[131],"modeling":[132],"domain,":[136],"observing":[137],"further":[138],"gains.Finally,":[141],"gains":[146],"are":[147],"robust":[148],"choice":[151],"system.":[155]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-02T00:00:00"}