{"id":"https://openalex.org/W4403351084","doi":"https://doi.org/10.1145/3695080.3695170","title":"Integrating Entities in Text Summarization: A Review","display_name":"Integrating Entities in Text Summarization: A Review","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4403351084","doi":"https://doi.org/10.1145/3695080.3695170"},"language":"en","primary_location":{"id":"doi:10.1145/3695080.3695170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-article"},"type":"review","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/A5112339823","display_name":"Yu Zhao","orcid":"https://orcid.org/0009-0007-5533-9297"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-5533-9297","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012085281","display_name":"Zhaoyun Ding","orcid":"https://orcid.org/0000-0002-7167-5801"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyun Ding","raw_affiliation_strings":["National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-7167-5801","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fei Wang","orcid":"https://orcid.org/0009-0008-0898-9665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":[", Qingdao Brunch of Naval Aeronautics University, China"],"raw_orcid":"https://orcid.org/0009-0008-0898-9665","affiliations":[{"raw_affiliation_string":", Qingdao Brunch of Naval Aeronautics University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102082911","display_name":"Lin Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longyin Zou","raw_affiliation_strings":["National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-0278-1942","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006195318","display_name":"Aixin Nian","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aixin Nian","raw_affiliation_strings":["National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-6042-8127","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Information Systems Engineering, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112339823"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.3311,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66708105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9958000183105469,"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":0.9207710027694702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584742903709412},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47553133964538574},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.4594598114490509},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39333611726760864},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3735620081424713},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3212857246398926}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9207710027694702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584742903709412},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47553133964538574},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.4594598114490509},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39333611726760864},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3735620081424713},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3212857246398926}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3695080.3695170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2153959628","https://openalex.org/W2740887992","https://openalex.org/W2753392522","https://openalex.org/W2888482885","https://openalex.org/W2953486306","https://openalex.org/W2963204221","https://openalex.org/W2963663567","https://openalex.org/W2963721761","https://openalex.org/W2963929190","https://openalex.org/W2971289520","https://openalex.org/W3104639696","https://openalex.org/W3111372071","https://openalex.org/W3114369693","https://openalex.org/W3141940864","https://openalex.org/W3153193605","https://openalex.org/W3168690788","https://openalex.org/W3170083118","https://openalex.org/W3170432046","https://openalex.org/W3172210712","https://openalex.org/W3196696529","https://openalex.org/W3199926081","https://openalex.org/W3215722059","https://openalex.org/W4280625699","https://openalex.org/W4285171765","https://openalex.org/W4385572068","https://openalex.org/W4385572479","https://openalex.org/W4386566738","https://openalex.org/W4402670691","https://openalex.org/W6892471735"],"related_works":["https://openalex.org/W3164984162","https://openalex.org/W2104677027","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W1990695371","https://openalex.org/W2365100044","https://openalex.org/W1943954554","https://openalex.org/W2099859325"],"abstract_inverted_index":{"Advancements":[0],"in":[1,15,42,78,133],"pretrained":[2],"and":[3,23,33,49,67,118,128,155,173,186],"large":[4],"language":[5],"models":[6],"have":[7,35,87,125],"significantly":[8],"propelled":[9],"the":[10,19,37,58,73,105,115,144,147,170,178],"development":[11],"of":[12,21,39,76,85,101,146,158,175,180],"text":[13,25,79,111,148,184],"summarization":[14,69,94,112,149,185],"recent":[16,131],"years,":[17],"making":[18],"generation":[20],"fluent":[22],"readable":[24],"possible.":[26],"However,":[27],"issues":[28],"related":[29],"to":[30,143],"factuality,":[31],"faithfulness,":[32],"controllability":[34],"limited":[36],"application":[38],"this":[40,134],"technology":[41],"specific":[43],"contexts":[44],"such":[45],"as":[46,90],"news,":[47],"medical,":[48],"reviews,":[50],"hindering":[51],"its":[52],"adoption.":[53],"To":[54],"address":[55],"these":[56,159],"challenges,":[57],"scholarly":[59],"attention":[60],"has":[61],"increasingly":[62],"focused":[63],"on":[64,104,165,177],"more":[65],"effective":[66],"feasible":[68],"methods,":[70],"particularly":[71],"emphasizing":[72],"enhancement":[74],"effects":[75,172],"entities":[77,89,109],"summarization.":[80],"Although":[81],"a":[82,99],"growing":[83],"number":[84],"studies":[86,132],"integrated":[88],"key":[91],"elements":[92],"within":[93],"systems,":[95,113],"there":[96],"is":[97],"still":[98],"lack":[100],"comprehensive":[102,156],"reviews":[103],"methods":[106],"for":[107],"integrating":[108],"into":[110],"analyzing":[114],"challenges":[116],"faced":[117],"anticipating":[119],"future":[120,189],"research":[121,176,190],"directions.":[122,191],"Therefore,":[123],"we":[124,168],"systematically":[126],"organized":[127],"thoroughly":[129],"examined":[130],"area.":[135],"We":[136],"categorize":[137],"various":[138],"entity":[139,181],"integration":[140,179],"techniques":[141,160],"according":[142],"stages":[145],"process,":[150],"conduct":[151],"an":[152],"in-depth":[153],"analysis":[154,182],"evaluation":[157],"at":[161],"each":[162],"stage.":[163],"Based":[164],"our":[166],"findings,":[167],"identify":[169],"current":[171],"limitations":[174],"with":[183],"discuss":[187],"potential":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-06T06:45:51.903784","created_date":"2025-10-10T00:00:00"}
