{"id":"https://openalex.org/W4380352270","doi":"https://doi.org/10.48550/arxiv.2306.05537","title":"AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization","display_name":"AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380352270","doi":"https://doi.org/10.48550/arxiv.2306.05537"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.05537","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2306.05537","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100325283","display_name":"Guan Wang","orcid":"https://orcid.org/0000-0002-6221-523X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Guan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400668","display_name":"Weihua Li","orcid":"https://orcid.org/0000-0002-6190-8421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Weihua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022111153","display_name":"Edmund Lai","orcid":"https://orcid.org/0000-0001-9159-3718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lai, Edmund M-K.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029548157","display_name":"Quan Bai","orcid":"https://orcid.org/0000-0003-1214-6317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Quan","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9996,"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":0.9996,"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":0.9954,"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":0.9922,"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/sentiment-analysis","display_name":"Sentiment Analysis","score":0.55689687},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.41363028}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.96397245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83425343},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.55689687},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.55205464},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5487443},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5030562},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.50277185},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4833893},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4618157},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41699463},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.41363028},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3970317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30834723},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3053863},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.05537","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.05537","pdf_url":"http://arxiv.org/pdf/2306.05537","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2306.05537","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.05537","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.46}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4300055207","https://openalex.org/W3164984162","https://openalex.org/W2902627734","https://openalex.org/W2568827738","https://openalex.org/W2365100044","https://openalex.org/W2173208124","https://openalex.org/W2112885393","https://openalex.org/W2104677027","https://openalex.org/W2099859325","https://openalex.org/W1990695371"],"abstract_inverted_index":{"The":[0,162,211],"rapid":[1],"growth":[2],"of":[3,14,84,97,170],"information":[4,37,59,181],"on":[5,18,182,230],"the":[6,35,82,116,155,190,208],"Internet":[7],"has":[8,49],"led":[9],"to":[10,32,53,104,120,131,206,235,241],"an":[11,143],"overwhelming":[12],"amount":[13],"opinions":[15],"and":[16,22,28,63,99,101,196,220,223,239,245],"comments":[17],"various":[19],"activities,":[20],"products,":[21],"services.":[23],"This":[24],"makes":[25],"it":[26],"difficult":[27],"time-consuming":[29],"for":[30,149,159,172],"users":[31,55,132,178,234],"process":[33],"all":[34],"available":[36],"when":[38],"making":[39],"decisions.":[40],"Text":[41],"summarization,":[42,126],"a":[43,168,173],"Natural":[44],"Language":[45,86],"Processing":[46],"(NLP)":[47],"task,":[48],"been":[50,201],"widely":[51],"explored":[52],"help":[54],"quickly":[56],"retrieve":[57],"relevant":[58],"by":[60],"generating":[61,226],"short":[62],"salient":[64],"content":[65],"from":[66],"long":[67],"or":[68,136],"multiple":[69],"documents.":[70],"Recent":[71],"advances":[72],"in":[73,89,124,225],"pre-trained":[74],"language":[75],"models,":[76],"such":[77],"as":[78,106],"ChatGPT,":[79],"have":[80,200],"demonstrated":[81],"potential":[83],"Large":[85],"Models":[87],"(LLMs)":[88],"text":[90,111],"generation.":[91],"However,":[92],"LLMs":[93],"require":[94],"massive":[95],"amounts":[96],"data":[98],"resources":[100],"are":[102,186,193],"challenging":[103],"implement":[105],"offline":[107],"applications.":[108],"Furthermore,":[109],"existing":[110],"summarization":[112],"approaches":[113,219],"often":[114],"lack":[115],"``adaptive\"":[117],"nature":[118,157],"required":[119,158],"capture":[121],"diverse":[122,243],"aspects":[123,184],"opinion":[125,160],"which":[127,152],"is":[128,221],"particularly":[129],"detrimental":[130],"with":[133,179],"specific":[134,183],"requirements":[135],"preferences.":[137,246],"In":[138],"this":[139],"paper,":[140],"we":[141],"propose":[142],"Aspect-adaptive":[144],"Knowledge-based":[145],"Opinion":[146],"Summarization":[147],"model":[148,163,216],"product":[150],"reviews,":[151],"effectively":[153],"captures":[154],"adaptive":[156,222],"summarization.":[161],"generates":[164],"aspect-oriented":[165],"summaries":[166,192,227],"given":[167],"set":[169],"reviews":[171],"particular":[174,231],"product,":[175],"efficiently":[176],"providing":[177],"useful":[180],"they":[185],"interested":[187],"in,":[188],"ensuring":[189],"generated":[191],"more":[194],"personalized":[195],"informative.":[197],"Extensive":[198],"experiments":[199],"conducted":[202],"using":[203],"real-world":[204],"datasets":[205],"evaluate":[207],"proposed":[209],"model.":[210],"results":[212],"demonstrate":[213],"that":[214,228],"our":[215],"outperforms":[217],"state-of-the-art":[218],"efficient":[224],"focus":[229],"aspects,":[232],"enabling":[233],"make":[236],"well-informed":[237],"decisions":[238],"catering":[240],"their":[242],"interests":[244]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4380352270","counts_by_year":[],"updated_date":"2025-01-04T17:36:26.946576","created_date":"2023-06-13"}