{"id":"https://openalex.org/W3034670175","doi":"https://doi.org/10.24963/ijcai.2020/644","title":"A Unified Model for Financial Event Classification, Detection and Summarization","display_name":"A Unified Model for Financial Event Classification, Detection and Summarization","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034670175","doi":"https://doi.org/10.24963/ijcai.2020/644","mag":"3034670175"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/644","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/644","pdf_url":"https://www.ijcai.org/proceedings/2020/0644.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0644.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzhi Li","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407296","display_name":"Qiong Zhang","orcid":"https://orcid.org/0000-0003-1995-2127"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiong Zhang","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210095624"],"apc_list":null,"apc_paid":null,"fwci":1.3544,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85220781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4668","last_page":"4674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9976999759674072,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9955999851226807,"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/automatic-summarization","display_name":"Automatic summarization","score":0.951836109161377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8308911323547363},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.698905348777771},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6176077127456665},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5696333646774292},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.515507698059082},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5084768533706665},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.49452540278434753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4880308210849762},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42887216806411743},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42799127101898193},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42035186290740967},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40226829051971436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38699421286582947}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.951836109161377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8308911323547363},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.698905348777771},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6176077127456665},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5696333646774292},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.515507698059082},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5084768533706665},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.49452540278434753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4880308210849762},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42887216806411743},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42799127101898193},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42035186290740967},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40226829051971436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38699421286582947},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/644","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/644","pdf_url":"https://www.ijcai.org/proceedings/2020/0644.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/644","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/644","pdf_url":"https://www.ijcai.org/proceedings/2020/0644.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034670175.pdf","grobid_xml":"https://content.openalex.org/works/W3034670175.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1594112393","https://openalex.org/W1997714358","https://openalex.org/W2033325972","https://openalex.org/W2072240081","https://openalex.org/W2086925418","https://openalex.org/W2130942839","https://openalex.org/W2140427797","https://openalex.org/W2144941913","https://openalex.org/W2150824314","https://openalex.org/W2250710312","https://openalex.org/W2250752175","https://openalex.org/W2404243041","https://openalex.org/W2470673105","https://openalex.org/W2508865106","https://openalex.org/W2511598956","https://openalex.org/W2606974598","https://openalex.org/W2741405589","https://openalex.org/W2896457183","https://openalex.org/W2922709902","https://openalex.org/W2951288507","https://openalex.org/W2952230511","https://openalex.org/W2962739339","https://openalex.org/W2962940365","https://openalex.org/W2962965405","https://openalex.org/W2963026768","https://openalex.org/W2963139477","https://openalex.org/W2963385935","https://openalex.org/W2963418282","https://openalex.org/W2964144561","https://openalex.org/W2965373594","https://openalex.org/W2970419734","https://openalex.org/W2970597249","https://openalex.org/W2996428491","https://openalex.org/W3036120435","https://openalex.org/W4231934124"],"related_works":["https://openalex.org/W3164984162","https://openalex.org/W2104677027","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W2065541085","https://openalex.org/W2785821657","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W1990695371","https://openalex.org/W2365100044"],"abstract_inverted_index":{"There":[0],"is":[1,39],"massive":[2],"amount":[3],"of":[4,100],"news":[5,44],"on":[6,96],"financial":[7,24],"events":[8],"every":[9],"day.":[10],"In":[11,71],"this":[12],"paper,":[13],"we":[14,63],"present":[15],"a":[16,29,35,65],"unified":[17],"model":[18,27,38],"for":[19],"detecting,":[20],"classifying":[21],"and":[22,46,57,88],"summarizing":[23],"events.":[25],"This":[26],"exploits":[28],"multi-task":[30],"learning":[31],"approach,":[32],"in":[33],"which":[34],"pre-trained":[36],"BERT":[37],"used":[40],"to":[41,73],"encode":[42],"the":[43,47,69,74,80,84,97,101],"articles,":[45],"encoded":[48,77],"information":[49],"are":[50],"shared":[51],"by":[52,78],"event":[53,61,86,102],"type":[54,87],"classification,":[55],"detection":[56],"summarization":[58],"tasks.":[59],"For":[60],"summarization,":[62],"use":[64],"Transformer":[66],"structure":[67],"as":[68],"decoder.":[70],"addition":[72],"input":[75],"document":[76],"BERT,":[79],"decoder":[81],"also":[82],"utilizes":[83],"predicted":[85],"cluster":[89],"information,":[90],"so":[91],"that":[92,109],"it":[93],"can":[94],"focus":[95],"specific":[98],"aspects":[99],"when":[103],"generating":[104],"summary.":[105],"Our":[106],"experiments":[107],"show":[108],"our":[110],"approach":[111],"outperforms":[112],"other":[113],"methods.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}