{"id":"https://openalex.org/W4406255345","doi":"https://doi.org/10.18293/seke2024-030","title":"Improving Event Detection via Trigger Word Expansion","display_name":"Improving Event Detection via Trigger Word Expansion","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4406255345","doi":"https://doi.org/10.18293/seke2024-030"},"language":"en","primary_location":{"id":"doi:10.18293/seke2024-030","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2024-030","pdf_url":"https://doi.org/10.18293/seke2024-030","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2024-030","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102005613","display_name":"Qing Zhou","orcid":"https://orcid.org/0009-0004-8866-8466"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053121187","display_name":"Subin Huang","orcid":"https://orcid.org/0000-0003-1886-4192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subin Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068367467","display_name":"Chengzhen Yu","orcid":"https://orcid.org/0009-0001-1234-9176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengzhen Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077026052","display_name":"Daoyu Li","orcid":"https://orcid.org/0009-0005-1935-898X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daoyu Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365536","display_name":"Junjie Chen","orcid":"https://orcid.org/0000-0002-0483-303X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junjie Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032786350","display_name":"Sanmin Liu","orcid":"https://orcid.org/0000-0002-0399-7737"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanmin Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":null,"first_page":"81","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9905999898910522,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9905999898910522,"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":0.9817000031471252,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9679999947547913,"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/computer-science","display_name":"Computer science","score":0.7228947281837463},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5995558500289917},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5986687541007996},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4544943869113922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36880433559417725},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3491206765174866},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09672322869300842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228947281837463},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5995558500289917},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5986687541007996},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4544943869113922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36880433559417725},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3491206765174866},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09672322869300842},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2024-030","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2024-030","pdf_url":"https://doi.org/10.18293/seke2024-030","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2024-030","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2024-030","pdf_url":"https://doi.org/10.18293/seke2024-030","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406255345.pdf","grobid_xml":"https://content.openalex.org/works/W4406255345.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1569283511","https://openalex.org/W4236193183","https://openalex.org/W2053866214","https://openalex.org/W2607505004","https://openalex.org/W2231795205","https://openalex.org/W2523632547","https://openalex.org/W2143882141","https://openalex.org/W4391165988","https://openalex.org/W3204019825","https://openalex.org/W2296205523"],"abstract_inverted_index":{"Event":[0],"detection":[1,27,87],"is":[2],"a":[3,58,70,73,78],"fundamental":[4],"task":[5],"in":[6],"information":[7],"extraction,":[8],"aiming":[9],"to":[10,34,40,45,88,106,138],"identify":[11],"trigger":[12,32,51,59,74,81,92,99,112,120,154],"words":[13,33],"from":[14],"given":[15],"texts":[16],"and":[17],"categorize":[18],"them":[19],"into":[20],"distinct":[21],"event":[22,26,66,86],"types.Existing":[23],"approaches":[24,150],"for":[25,63,80,109],"predominantly":[28],"rely":[29,152],"on":[30,124,153],"annotating":[31],"classify":[35],"events,":[36],"which":[37],"can":[38],"lead":[39],"semantic":[41],"recognition":[42],"errors":[43],"due":[44],"the":[46,96,103,110,116,125,131,142],"oversimplified":[47],"semantics":[48,97],"of":[49,98,119,134,144],"these":[50],"words.To":[52],"tackle":[53],"this":[54],"challenge,":[55],"we":[56,68,101],"propose":[57,69],"word":[60,75,82,93,155],"expansionbased":[61],"approach":[62,136,147],"robust":[64],"contextual":[65,117],"detection.Specifically,":[67],"framework":[71],"comprising":[72],"extractor":[76],"within":[77],"model":[79,105],"expansion":[83],"classifier.This":[84],"enables":[85],"be":[89],"conducted":[90,123],"through":[91],"expansion,":[94],"enriching":[95],"words.Additionally,":[100],"leverage":[102],"GPT":[104],"generate":[107],"contexts":[108],"expanded":[111],"words,":[113],"thereby":[114],"enhancing":[115],"understanding":[118],"words.Extensive":[121],"experiments":[122],"standard":[126],"MAVEN":[127],"benchmark":[128],"dataset":[129],"showcase":[130],"superior":[132],"performance":[133],"our":[135,145],"compared":[137],"state-of-the-art":[139],"methods.This":[140],"confirms":[141],"effectiveness":[143],"proposed":[146],"over":[148],"existing":[149],"that":[151],"annotation.":[156]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}