{"id":"https://openalex.org/W2913660829","doi":"https://doi.org/10.1109/bigdata.2018.8622198","title":"Document Information Assisted Event Trigger Detection","display_name":"Document Information Assisted Event Trigger Detection","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913660829","doi":"https://doi.org/10.1109/bigdata.2018.8622198","mag":"2913660829"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","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/A5020908830","display_name":"Yingchi Liu","orcid":"https://orcid.org/0009-0006-7848-2187"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingchi Liu","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048436051","display_name":"Quanzhi Li","orcid":"https://orcid.org/0000-0002-4605-4237"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzhi Li","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101985030","display_name":"Xiaozhong Liu","orcid":"https://orcid.org/0000-0003-3477-8323"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaozhong Liu","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101718341","display_name":"Luo Si","orcid":"https://orcid.org/0000-0002-3263-234X"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luo Si","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75513656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"abs 1702 1923","issue":null,"first_page":"5383","last_page":"5385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9984999895095825,"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":0.9979000091552734,"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":0.8428404331207275},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7563009858131409},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.66922926902771},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6591217517852783},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6024417281150818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630494952201843},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5319370031356812},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.444978803396225},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38256916403770447},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34753841161727905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32015836238861084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8428404331207275},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7563009858131409},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.66922926902771},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6591217517852783},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6024417281150818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630494952201843},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5319370031356812},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.444978803396225},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38256916403770447},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34753841161727905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32015836238861084},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1538131130","https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2108743083","https://openalex.org/W2120615054","https://openalex.org/W2130714105","https://openalex.org/W2131774270","https://openalex.org/W2153579005","https://openalex.org/W2165516035","https://openalex.org/W2165962657","https://openalex.org/W2250575108","https://openalex.org/W2250999640","https://openalex.org/W2475245295","https://openalex.org/W2587019100","https://openalex.org/W2604272474","https://openalex.org/W2775730905","https://openalex.org/W2859933222","https://openalex.org/W2885765547","https://openalex.org/W2963171262","https://openalex.org/W2963229139","https://openalex.org/W2963403868","https://openalex.org/W4385245566","https://openalex.org/W6675881536","https://openalex.org/W6679358329","https://openalex.org/W6684169581","https://openalex.org/W6684320127","https://openalex.org/W6733081445","https://openalex.org/W6739901393","https://openalex.org/W6746932706","https://openalex.org/W6753596224"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W4385572368"],"abstract_inverted_index":{"Event":[0],"trigger":[1,26,54,83],"detection":[2],"remains":[3],"a":[4,86],"challenging":[5],"task.":[6],"Most":[7],"of":[8,14,24,35,46,61,81],"previous":[9],"studies":[10,30],"focused":[11,31],"on":[12,32],"variations":[13],"model":[15],"structures":[16],"to":[17],"extract":[18],"features":[19,64,70],"from":[20,77],"the":[21,25,33,44,48,68,74,78,82,101],"local":[22,79],"context":[23,80],"words.":[27],"However,":[28],"few":[29],"utilization":[34],"document":[36,49,63,69],"level":[37,50],"information.":[38],"In":[39],"this":[40],"work,":[41],"we":[42],"studied":[43],"benefit":[45],"exploiting":[47],"information":[51],"for":[52],"event":[53],"detections":[55],"in":[56],"textual":[57],"data.":[58],"Two":[59],"approaches":[60],"extracting":[62],"are":[65,71],"proposed,":[66],"and":[67],"integrated":[72],"with":[73],"embeddings":[75],"generated":[76],"word":[84],"using":[85],"convolutional":[87],"neural":[88],"network":[89],"(CNN)":[90],"model.":[91,104],"Our":[92],"experiment":[93],"shows":[94],"that":[95],"these":[96],"two":[97],"methods":[98],"both":[99],"outperform":[100],"CNN-based":[102],"baseline":[103]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
