{"id":"https://openalex.org/W4384558531","doi":"https://doi.org/10.1142/s0219649223500302","title":"A Study of Training Approaches of a Hybrid Summarisation Model Applied to Patent Dataset","display_name":"A Study of Training Approaches of a Hybrid Summarisation Model Applied to Patent Dataset","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4384558531","doi":"https://doi.org/10.1142/s0219649223500302"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649223500302","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649223500302","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information & Knowledge Management","raw_type":"journal-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/A5020984207","display_name":"Cinthia M. Souza","orcid":"https://orcid.org/0000-0001-6698-2754"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cinthia M. Souza","raw_affiliation_strings":["Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023541303","display_name":"Daniel S. Bastos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel S. Bastos","raw_affiliation_strings":["Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104144437","display_name":"Leonardo A. Souza Filho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leonardo A. Souza Filho","raw_affiliation_strings":["Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071061118","display_name":"Magali Rezende Gouv\u00eaa Meireles","orcid":"https://orcid.org/0000-0001-6928-7132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Magali R. G. Meireles","raw_affiliation_strings":["Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematical Sciences and Informatics - PUC Minas, R. Walter Ianni, 255, 31.980-110, Belo Horizonte, MG, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020984207"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75053061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"22","issue":"05","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9948999881744385,"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":0.9948999881744385,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9840999841690063,"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":0.8243404626846313},{"id":"https://openalex.org/keywords/trademark","display_name":"Trademark","score":0.7887128591537476},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6146063804626465},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6011168956756592},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4543641209602356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4472822844982147},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39966243505477905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243404626846313},{"id":"https://openalex.org/C2779027411","wikidata":"https://www.wikidata.org/wiki/Q167270","display_name":"Trademark","level":2,"score":0.7887128591537476},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6146063804626465},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6011168956756592},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4543641209602356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4472822844982147},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39966243505477905},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649223500302","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649223500302","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information & Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:22:y:2023:i:05:n:s0219649223500302","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649223500302","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W1989420837","https://openalex.org/W2064675550","https://openalex.org/W2147830435","https://openalex.org/W2157331557","https://openalex.org/W2418560495","https://openalex.org/W2495196114","https://openalex.org/W2559655401","https://openalex.org/W2612690371","https://openalex.org/W2769676705","https://openalex.org/W2890096158","https://openalex.org/W2953280096","https://openalex.org/W2964061924","https://openalex.org/W2967089228","https://openalex.org/W2967566895","https://openalex.org/W2971866505","https://openalex.org/W2978806970","https://openalex.org/W2996097588","https://openalex.org/W3011411500","https://openalex.org/W3090112497","https://openalex.org/W3093466032","https://openalex.org/W3158070561","https://openalex.org/W3165036470","https://openalex.org/W4205476602","https://openalex.org/W4310895557"],"related_works":["https://openalex.org/W4384856174","https://openalex.org/W4244820566","https://openalex.org/W2977662092","https://openalex.org/W2378475673","https://openalex.org/W4285545588","https://openalex.org/W2371230266","https://openalex.org/W4234523877","https://openalex.org/W2392759593","https://openalex.org/W4389567081","https://openalex.org/W2029950174"],"abstract_inverted_index":{"Patents":[0],"are":[1],"recognised":[2],"as":[3],"an":[4,150],"important":[5,151],"source":[6],"of":[7,14,28,34,43,46,132,140,160,169,176],"scientific":[8],"knowledge.":[9],"The":[10,31,60,102],"automatic":[11],"summarisation":[12,49,98,163],"process":[13],"patents":[15],"can":[16],"assist":[17],"in":[18,92,122,145,153,200],"the":[19,23,26,75,85,107,130,138,141,146,158,161,167,170,174,180,189,194],"organisation,":[20],"and,":[21],"consequently,":[22],"access":[24],"to":[25,38,51],"contents":[27],"patent":[29,58],"databases.":[30],"main":[32],"contribution":[33],"this":[35,154],"work":[36],"is":[37,127,149],"carry":[39],"out":[40],"a":[41,47,65],"study":[42,131],"training":[44,134],"approaches":[45],"hybrid":[48,96],"model":[50,87,195],"create":[52],"concise,":[53],"single":[54],"sentence":[55],"summaries":[56],"for":[57],"documents.":[59],"experiments":[61,83,171],"were":[62,100],"executed":[63],"using":[64],"dataset":[66],"containing":[67],"more":[68],"than":[69,113],"80,000":[70],"patents,":[71],"made":[72],"available":[73],"by":[74],"United":[76],"States":[77],"Patent":[78],"and":[79,88,95,115,118],"Trademark":[80],"Office.":[81],"Comparative":[82],"between":[84],"selected":[86,108],"seven":[89],"state-of-the-art":[90],"models":[91],"extractive,":[93],"abstractive":[94],"text":[97,182],"(HTS)":[99],"performed.":[101],"results":[103,112,168],"obtained":[104],"showed":[105],"that":[106,129,173],"approach":[109],"produces":[110],"better":[111,186],"extractive":[114],"HTS":[116],"models,":[117],"yields":[119],"good":[120],"prospects":[121],"extremely":[123],"concise":[124],"summaries.":[125],"It":[126],"concluded":[128],"different":[133],"approaches,":[135],"coupled":[136],"with":[137,193],"analysis":[139],"attention":[142,190],"words":[143,178,191,198],"weights":[144],"final":[147,162],"results,":[148,187],"step":[152],"process,":[155],"impacting":[156],"directly":[157],"choice":[159],"model.":[164],"Besides":[165],"this,":[166],"suggest":[172],"removal":[175],"stop":[177,197],"from":[179],"input":[181],"did":[183],"not":[184],"generate":[185],"although":[188],"extracted":[192],"without":[196],"were,":[199],"general,":[201],"better.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}