{"id":"https://openalex.org/W2952429226","doi":"https://doi.org/10.18653/v1/p19-1429","title":"Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning","display_name":"Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952429226","doi":"https://doi.org/10.18653/v1/p19-1429","mag":"2952429226"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1429","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1429","pdf_url":"https://www.aclweb.org/anthology/P19-1429.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1429.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103090910","display_name":"Yaojie Lu","orcid":"https://orcid.org/0000-0002-5842-7715"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaojie Lu","raw_affiliation_strings":["Chinese Information Processing Laboratory","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Information Processing Laboratory","institution_ids":[]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041809943","display_name":"Hongyu Lin","orcid":"https://orcid.org/0000-0001-7151-922X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Lin","raw_affiliation_strings":["Chinese Information Processing Laboratory","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Information Processing Laboratory","institution_ids":[]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620300","display_name":"Xianpei Han","orcid":"https://orcid.org/0000-0002-1304-6302"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianpei Han","raw_affiliation_strings":["Chinese Information Processing Laboratory","State Key Laboratory of Computer Science Institute of Software, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Information Processing Laboratory","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Computer Science Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034536222","display_name":"Le Sun","orcid":"https://orcid.org/0000-0002-4221-0327"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["Chinese Information Processing Laboratory"],"affiliations":[{"raw_affiliation_string":"Chinese Information Processing Laboratory","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103090910"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":4.3355,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95483663,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4366","last_page":"4376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9941999912261963,"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":0.9916999936103821,"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/generalization","display_name":"Generalization","score":0.8222189545631409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7511988878250122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.665626049041748},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5729248523712158},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5580692291259766},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5261285305023193},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5040120482444763},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.48948585987091064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3295847177505493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08631306886672974},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.057186007499694824}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8222189545631409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511988878250122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.665626049041748},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5729248523712158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5580692291259766},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5261285305023193},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5040120482444763},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.48948585987091064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3295847177505493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08631306886672974},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.057186007499694824},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1429","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1429","pdf_url":"https://www.aclweb.org/anthology/P19-1429.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1429","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1429","pdf_url":"https://www.aclweb.org/anthology/P19-1429.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1864811850","display_name":null,"funder_award_id":"2018YFB1005100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5525282449","display_name":null,"funder_award_id":"201601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5679946986","display_name":null,"funder_award_id":"61772505","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7867880596","display_name":null,"funder_award_id":"61572477","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8148101051","display_name":null,"funder_award_id":"61433015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952429226.pdf","grobid_xml":"https://content.openalex.org/works/W2952429226.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1594112393","https://openalex.org/W1731081199","https://openalex.org/W2072628044","https://openalex.org/W2099471712","https://openalex.org/W2108743083","https://openalex.org/W2151295812","https://openalex.org/W2165962657","https://openalex.org/W2250575108","https://openalex.org/W2250999640","https://openalex.org/W2475245295","https://openalex.org/W2508618307","https://openalex.org/W2512522169","https://openalex.org/W2562564313","https://openalex.org/W2564139027","https://openalex.org/W2610536450","https://openalex.org/W2618285232","https://openalex.org/W2739918945","https://openalex.org/W2741075451","https://openalex.org/W2775730905","https://openalex.org/W2788322837","https://openalex.org/W2788474500","https://openalex.org/W2788525741","https://openalex.org/W2798563357","https://openalex.org/W2804340000","https://openalex.org/W2806332557","https://openalex.org/W2888004803","https://openalex.org/W2888161220","https://openalex.org/W2890373807","https://openalex.org/W2890776849","https://openalex.org/W2891553865","https://openalex.org/W2891862720","https://openalex.org/W2892244498","https://openalex.org/W2904206140","https://openalex.org/W2962739339","https://openalex.org/W2962824366","https://openalex.org/W2962835228","https://openalex.org/W2962911678","https://openalex.org/W2963389226","https://openalex.org/W2963706742","https://openalex.org/W2964257755","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2152950565","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W2512958550","https://openalex.org/W2329266651","https://openalex.org/W3103825105","https://openalex.org/W2004102934","https://openalex.org/W4366455350","https://openalex.org/W3162204513","https://openalex.org/W4321844193"],"abstract_inverted_index":{"Event":[0],"detection":[1,23],"systems":[2],"rely":[3],"on":[4,26,32,38,77,85],"discrimination":[5,34,54],"knowledge":[6,14,57],"to":[7,15,52],"distinguish":[8],"ambiguous":[9],"trigger":[10,18,79],"words":[11],"and":[12,55,63,81,88],"generalization":[13,40,56],"detect":[16],"unseen/sparse":[17,78],"words.":[19],"Current":[20],"neural":[21],"event":[22,66],"approaches":[24,76],"focus":[25],"trigger-centric":[27],"representations,":[28],"which":[29],"work":[30],"well":[31],"distilling":[33],"knowledge,":[35],"but":[36],"poorly":[37],"learning":[39,62],"knowledge.":[41],"To":[42],"address":[43],"this":[44,46],"problem,":[45],"paper":[47],"proposes":[48],"a":[49],"-learning":[50],"approach":[51],"distill":[53],"by":[58],"effectively":[59],"decoupling,":[60],"incrementally":[61],"adaptively":[64],"fusing":[65],"representation.":[67],"Experiments":[68],"show":[69],"that":[70],"our":[71],"method":[72],"significantly":[73],"outperforms":[74],"previous":[75],"words,":[80],"achieves":[82],"state-of-the-art":[83],"performance":[84],"both":[86],"ACE2005":[87],"KBP2017":[89],"datasets.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":8}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}