{"id":"https://openalex.org/W3208358213","doi":"https://doi.org/10.1145/3459637.3482113","title":"Goal-Directed Extractive Summarization of Financial Reports","display_name":"Goal-Directed Extractive Summarization of Financial Reports","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3208358213","doi":"https://doi.org/10.1145/3459637.3482113","mag":"3208358213"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","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/A5000010949","display_name":"Yash Agrawal","orcid":"https://orcid.org/0000-0001-9736-9581"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Yash Agrawal","raw_affiliation_strings":["IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035954016","display_name":"V. K. Anand","orcid":"https://orcid.org/0000-0003-2023-7040"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivek Anand","raw_affiliation_strings":["IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046755750","display_name":"Manish Gupta","orcid":"https://orcid.org/0000-0002-2843-3110"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Gupta","raw_affiliation_strings":["IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102910903","display_name":"S. Arunachalam","orcid":null},"institutions":[{"id":"https://openalex.org/I122328836","display_name":"Indian School of Business","ror":"https://ror.org/027t6ka17","country_code":"IN","type":"education","lineage":["https://openalex.org/I122328836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Arunachalam","raw_affiliation_strings":["ISB, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"ISB, Hyderabad, India","institution_ids":["https://openalex.org/I122328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073786634","display_name":"Vasudeva Varma","orcid":"https://orcid.org/0000-0003-1923-1725"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasudeva Varma","raw_affiliation_strings":["IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000010949"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.3486,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6389297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2817","last_page":"2821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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":0.9988999962806702,"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/automatic-summarization","display_name":"Automatic summarization","score":0.90900719165802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7427343726158142},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5883693099021912},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.584950864315033},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.48539599776268005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36150628328323364},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.329401433467865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32355189323425293},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2046622931957245}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.90900719165802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427343726158142},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5883693099021912},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.584950864315033},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.48539599776268005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36150628328323364},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.329401433467865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32355189323425293},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2046622931957245}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3459637.3482113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.exchange.isb.edu:2172","is_oa":false,"landing_page_url":"https://eprints.exchange.isb.edu/id/eprint/2172/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196660","display_name":"Digital Eprints Services at ISB (DESI) (Indian School of Business)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122328836","host_organization_name":"Indian School of Business","host_organization_lineage":["https://openalex.org/I122328836"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1854214752","https://openalex.org/W2064675550","https://openalex.org/W2084333023","https://openalex.org/W2116209939","https://openalex.org/W2126267628","https://openalex.org/W2133564696","https://openalex.org/W2154652894","https://openalex.org/W2170031641","https://openalex.org/W2251553145","https://openalex.org/W2293931116","https://openalex.org/W2296438605","https://openalex.org/W2470673105","https://openalex.org/W2561360547","https://openalex.org/W2575002693","https://openalex.org/W2767236822","https://openalex.org/W2788425081","https://openalex.org/W2793429163","https://openalex.org/W2798413829","https://openalex.org/W2803930360","https://openalex.org/W2888482885","https://openalex.org/W2949615363","https://openalex.org/W2962785754","https://openalex.org/W2963929190","https://openalex.org/W2970419734","https://openalex.org/W2970641574","https://openalex.org/W2997750248","https://openalex.org/W2998640556","https://openalex.org/W3035050380","https://openalex.org/W3099086015","https://openalex.org/W3101913037"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W2150160875","https://openalex.org/W1517524280","https://openalex.org/W4306886878","https://openalex.org/W4289143854","https://openalex.org/W4379251913"],"abstract_inverted_index":{"Financial":[0],"reports":[1],"filed":[2],"by":[3,103,130],"various":[4],"companies":[5],"discuss":[6],"compliance,":[7],"risks,":[8],"and":[9,15,34,41,154],"future":[10],"plans,":[11],"such":[12,27,77,88],"as":[13,93,144,146],"goals":[14],"new":[16],"projects,":[17],"which":[18],"directly":[19],"impact":[20],"their":[21],"stock":[22,38,122,151],"price.":[23],"Quick":[24],"consumption":[25],"of":[26,50,53,66],"information":[28],"is":[29,71,91],"critical":[30],"for":[31,42,120,149],"financial":[32],"analysts":[33],"investors":[35],"to":[36,75],"make":[37],"buy/sell":[39,123,152],"decisions":[40],"equity":[43],"evaluations.":[44],"Hence,":[45],"we":[46,99,113,127],"study":[47],"the":[48,121,150],"problem":[49],"extractive":[51],"summarization":[52,58,69,79,107],"10-K":[54,105],"reports.":[55],"Recently,":[56],"Transformer-based":[57],"models":[59,90],"have":[60],"become":[61],"very":[62],"popular.":[63],"However,":[64],"lack":[65],"in-domain":[67],"labeled":[68,117],"data":[70,119],"a":[72,109,132],"major":[73],"roadblock":[74],"train":[76],"finance-specific":[78],"models.":[80],"We":[81],"also":[82],"show":[83],"that":[84,159],"zero-shot":[85],"inference":[86],"on":[87],"pretrained":[89],"not":[92],"effective":[94],"either.":[95],"In":[96],"this":[97,101],"paper,":[98],"address":[100],"challenge":[102],"modeling":[104],"report":[106],"using":[108],"goal-directed":[110],"setting":[111],"where":[112],"leverage":[114],"summaries":[115],"with":[116,136],"goal-related":[118],"classification":[124,139,153],"goal.":[125],"Further,":[126],"provide":[128],"improvements":[129],"considering":[131],"multi-task":[133],"learning":[134],"method":[135,162],"an":[137],"industry":[138],"auxiliary":[140],"task.":[141],"Intrinsic":[142],"evaluation":[143,148],"well":[145],"extrinsic":[147],"portfolio":[155],"construction":[156],"tasks":[157],"shows":[158],"our":[160],"proposed":[161],"significantly":[163],"outperforms":[164],"strong":[165],"baselines.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-14T23:14:49.485078","created_date":"2025-10-10T00:00:00"}
