{"id":"https://openalex.org/W4205915438","doi":"https://doi.org/10.1109/bigdata52589.2021.9671300","title":"Editors-in-the-loop News Article Summarization Framework with Sentence Selection and Compression","display_name":"Editors-in-the-loop News Article Summarization Framework with Sentence Selection and Compression","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205915438","doi":"https://doi.org/10.1109/bigdata52589.2021.9671300"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671300","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5034011295","display_name":"Shotaro Ishihara","orcid":"https://orcid.org/0009-0001-0366-6807"},"institutions":[{"id":"https://openalex.org/I4210114208","display_name":"Nikkei Business Publications (Japan)","ror":"https://ror.org/0220t3t55","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210114208"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shotaro Ishihara","raw_affiliation_strings":["Nikkei, Inc.,Tokyo,Japan","Nikkei, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nikkei, Inc.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210114208"]},{"raw_affiliation_string":"Nikkei, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210114208"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032733428","display_name":"Yuta Matsuda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096607","display_name":"Line Corporation (Japan)","ror":"https://ror.org/00qg8pm87","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210096607","https://openalex.org/I60922564"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Matsuda","raw_affiliation_strings":["LINE Corporation,Tokyo,Japan","LINE Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LINE Corporation,Tokyo,Japan","institution_ids":["https://openalex.org/I4210096607"]},{"raw_affiliation_string":"LINE Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4210096607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038765361","display_name":"Norihiko Sawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114208","display_name":"Nikkei Business Publications (Japan)","ror":"https://ror.org/0220t3t55","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210114208"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norihiko Sawa","raw_affiliation_strings":["Nikkei, Inc.,Tokyo,Japan","Nikkei, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nikkei, Inc.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210114208"]},{"raw_affiliation_string":"Nikkei, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210114208"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39935305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"3522","last_page":"3524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.825520396232605},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8251513242721558},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8244743347167969},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7267504930496216},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.573621928691864},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5689224600791931},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5492593050003052},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5272642374038696},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.5023069381713867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49948954582214355},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37361377477645874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825520396232605},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8251513242721558},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8244743347167969},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7267504930496216},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.573621928691864},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5689224600791931},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5492593050003052},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5272642374038696},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.5023069381713867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49948954582214355},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37361377477645874},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671300","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W607342991","https://openalex.org/W1664028424","https://openalex.org/W2026477238","https://openalex.org/W2055866867","https://openalex.org/W2118119027","https://openalex.org/W2118681326","https://openalex.org/W2122311631","https://openalex.org/W2131744502","https://openalex.org/W2165836836","https://openalex.org/W2251109644","https://openalex.org/W2733964180","https://openalex.org/W2740121762","https://openalex.org/W2902744721","https://openalex.org/W2964061924","https://openalex.org/W3034991617","https://openalex.org/W3119920397","https://openalex.org/W3138773240","https://openalex.org/W3163129978","https://openalex.org/W3200447800","https://openalex.org/W4287674181"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W1517524280"],"abstract_inverted_index":{"This":[0,96],"paper":[1],"proposes":[2],"a":[3,29,116],"human-in-the-loop":[4],"framework":[5,74],"to":[6,48,82,103,113],"summarize":[7],"news":[8],"articles":[9],"by":[10,20,37,93],"sentence":[11,36,89],"selection":[12,90],"and":[13,32,91],"compression.":[14],"The":[15],"system":[16,45],"enumerates":[17],"summary":[18],"candidates":[19],"selecting":[21],"N":[22],"sentences":[23],"representing":[24],"the":[25,43,50,54,59,66,72,76,84,88,101,105],"article":[26],"based":[27],"on":[28,107],"quantitative":[30],"metric":[31],"then":[33],"compressing":[34],"each":[35],"syntactic":[38],"analysis.":[39],"Experiments":[40],"showed":[41],"that":[42,78],"proposed":[44,73],"was":[46,68],"able":[47],"extract":[49],"same":[51],"topics":[52],"as":[53],"human":[55],"editor's":[56,85],"work":[57],"at":[58],"rate":[60,67],"of":[61],"26":[62],"%.":[63],"Even":[64],"though":[65],"not":[69,98],"high":[70],"enough,":[71],"has":[75,100],"advantage":[77],"it":[79],"is":[80],"easy":[81],"incorporate":[83],"intentions":[86],"in":[87,119],"compression":[92],"giving":[94,114],"weights.":[95],"approach":[97],"only":[99],"potential":[102],"reduce":[104],"burden":[106],"editors,":[108],"but":[109],"can":[110],"also":[111],"contribute":[112],"them":[115],"new":[117],"perspective":[118],"creating":[120],"summaries.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}