{"id":"https://openalex.org/W4408354136","doi":"https://doi.org/10.1109/icassp49660.2025.10889135","title":"Dynamic Structure Hypergraph for Document-level Event Extraction","display_name":"Dynamic Structure Hypergraph for Document-level Event Extraction","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354136","doi":"https://doi.org/10.1109/icassp49660.2025.10889135"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"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/A5016869122","display_name":"Qianqian Ren","orcid":"https://orcid.org/0000-0003-0235-2096"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Ren","raw_affiliation_strings":["Inner Mongolia University,College of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462313","display_name":"Weihua Wang","orcid":"https://orcid.org/0000-0002-2269-1952"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Wang","raw_affiliation_strings":["Inner Mongolia University,College of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075560272","display_name":"Jie Yu","orcid":"https://orcid.org/0000-0001-5655-6014"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yu","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076174513","display_name":"Guanglai Gao","orcid":"https://orcid.org/0009-0005-5513-1192"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglai Gao","raw_affiliation_strings":["Inner Mongolia University,College of Computer Science,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Computer Science,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940999746322632,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940999746322632,"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":0.9883999824523926,"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":0.9882000088691711,"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/hypergraph","display_name":"Hypergraph","score":0.7758991122245789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6876449584960938},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5026805400848389},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5017857551574707},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41174596548080444},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35187023878097534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35117894411087036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15041899681091309},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09198439121246338}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7758991122245789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876449584960938},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5026805400848389},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5017857551574707},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41174596548080444},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35187023878097534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35117894411087036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15041899681091309},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09198439121246338},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2250999640","https://openalex.org/W2807746743","https://openalex.org/W2904206140","https://openalex.org/W2970684294","https://openalex.org/W3104355095","https://openalex.org/W3129047827","https://openalex.org/W3174691968","https://openalex.org/W3174945605","https://openalex.org/W3177448563","https://openalex.org/W4281750641","https://openalex.org/W4282926996","https://openalex.org/W4287887163","https://openalex.org/W4296878655","https://openalex.org/W4385245566","https://openalex.org/W4385571085","https://openalex.org/W4387425955","https://openalex.org/W4389519083","https://openalex.org/W4392904167","https://openalex.org/W4392904168","https://openalex.org/W4392904798","https://openalex.org/W4393160941","https://openalex.org/W4402670367","https://openalex.org/W6755340666"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608"],"abstract_inverted_index":{"Document-level":[0],"Event":[1],"Extraction":[2],"(DEE)":[3],"aims":[4],"to":[5,46,63,106],"identify":[6],"event":[7,21],"information":[8,111],"from":[9],"a":[10,32,40,61,74,83,98],"given":[11],"document.":[12,34,75],"The":[13],"two":[14,130,139],"challenges":[15],"of":[16,50],"this":[17,36],"task":[18],"are":[19,79],"the":[20,28,48,65,89,95,104,108,129],"arguments":[22],"scattering":[23],"across":[24],"differrent":[25],"sentences":[26,70],"and":[27,71,117],"multiple":[29],"events":[30],"within":[31],"single":[33],"In":[35],"paper,":[37],"we":[38,59],"propose":[39],"novel":[41],"Dynamic":[42],"Structure":[43],"Hypergraph":[44],"model":[45,64],"address":[47],"issue":[49],"limited":[51],"global":[52,66],"modeling":[53],"capability":[54],"in":[55,73,112,127],"traditional":[56],"graphs.":[57],"Firstly,":[58],"construct":[60],"hypergraph":[62,96],"interactions":[67],"between":[68],"different":[69],"entities":[72],"Then,":[76],"new":[77],"hyperedges":[78],"generated":[80],"by":[81],"constructing":[82],"mention-mention":[84],"correlation":[85],"matrix":[86],"based":[87],"on":[88,138],"updated":[90],"node":[91],"representations,":[92],"which":[93,133],"evolves":[94],"into":[97],"dynamic":[99],"structure.":[100],"This":[101],"will":[102],"help":[103],"nodes":[105],"aware":[107],"contextual":[109],"semantic":[110],"time.":[113],"Finally,":[114],"extensive":[115],"experiments":[116],"analysis":[118],"demonstrate":[119],"that":[120],"our":[121],"method":[122],"has":[123],"made":[124],"significant":[125],"improvements":[126],"addressing":[128],"aforementioned":[131],"challenges,":[132],"outperforms":[134],"existing":[135],"state-of-the-art":[136],"models":[137],"public":[140],"datasets.":[141],"Our":[142],"code":[143],"is":[144],"available":[145],"at":[146],"https://github.com/1999rq/DSH.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
