{"id":"https://openalex.org/W3200702136","doi":"https://doi.org/10.1145/3464381","title":"SGATS: Semantic Graph-based Automatic Text Summarization from Hindi Text Documents","display_name":"SGATS: Semantic Graph-based Automatic Text Summarization from Hindi Text Documents","publication_year":2021,"publication_date":"2021-09-20","ids":{"openalex":"https://openalex.org/W3200702136","doi":"https://doi.org/10.1145/3464381","mag":"3200702136"},"language":"en","primary_location":{"id":"doi:10.1145/3464381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3464381","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5111740888","display_name":"Manju Lata Joshi","orcid":null},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manju Lata Joshi","raw_affiliation_strings":["Banasthali Vidyapith, Banasthali, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Banasthali Vidyapith, Banasthali, Rajasthan, India","institution_ids":["https://openalex.org/I102117144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037247181","display_name":"Nisheeth Joshi","orcid":"https://orcid.org/0000-0002-9256-3825"},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nisheeth Joshi","raw_affiliation_strings":["Banasthali Vidyapith, Banasthali, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Banasthali Vidyapith, Banasthali, Rajasthan, India","institution_ids":["https://openalex.org/I102117144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077747165","display_name":"Namita Mittal","orcid":"https://orcid.org/0000-0001-6886-9974"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Namita Mittal","raw_affiliation_strings":["Malaviya National Institute of Technology, Jaipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malaviya National Institute of Technology, Jaipur, India","institution_ids":["https://openalex.org/I83205935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2284,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83264131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"6","first_page":"1","last_page":"32"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9997000098228455,"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":0.9991999864578247,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8974611759185791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8109091520309448},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7300068736076355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6801236271858215},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6456729769706726},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.6054362058639526},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.5336787104606628},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5222899913787842},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.511723518371582},{"id":"https://openalex.org/keywords/hindi","display_name":"Hindi","score":0.4936004877090454},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10394912958145142}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8974611759185791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109091520309448},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7300068736076355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6801236271858215},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6456729769706726},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.6054362058639526},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.5336787104606628},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5222899913787842},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.511723518371582},{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.4936004877090454},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10394912958145142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3464381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3464381","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W348080090","https://openalex.org/W1510526001","https://openalex.org/W1517167320","https://openalex.org/W1603598191","https://openalex.org/W1963579702","https://openalex.org/W1967082914","https://openalex.org/W1972028996","https://openalex.org/W1974339500","https://openalex.org/W1980570680","https://openalex.org/W1984364982","https://openalex.org/W1986154307","https://openalex.org/W2004450254","https://openalex.org/W2012561700","https://openalex.org/W2043004216","https://openalex.org/W2043147031","https://openalex.org/W2062319581","https://openalex.org/W2068095332","https://openalex.org/W2081056190","https://openalex.org/W2081580037","https://openalex.org/W2087573826","https://openalex.org/W2089391273","https://openalex.org/W2093597205","https://openalex.org/W2106866704","https://openalex.org/W2117807528","https://openalex.org/W2137079713","https://openalex.org/W2145909907","https://openalex.org/W2146096861","https://openalex.org/W2148374900","https://openalex.org/W2158035089","https://openalex.org/W2286432036","https://openalex.org/W2315278785","https://openalex.org/W2395178926","https://openalex.org/W2413960806","https://openalex.org/W2508890307","https://openalex.org/W2511368150","https://openalex.org/W2549200414","https://openalex.org/W2596042274","https://openalex.org/W2613134896","https://openalex.org/W2621191575","https://openalex.org/W2746449152","https://openalex.org/W2781914340","https://openalex.org/W2884791133","https://openalex.org/W2890747986","https://openalex.org/W2891224871","https://openalex.org/W2891730703","https://openalex.org/W2922191679","https://openalex.org/W2922332136","https://openalex.org/W2945259612","https://openalex.org/W2950534334","https://openalex.org/W3021084640","https://openalex.org/W3127191965","https://openalex.org/W4235774837"],"related_works":["https://openalex.org/W2084333023","https://openalex.org/W1524786317","https://openalex.org/W2887344265","https://openalex.org/W2986470681","https://openalex.org/W2126232808","https://openalex.org/W2590756584","https://openalex.org/W4385234707","https://openalex.org/W1496532642","https://openalex.org/W314635929","https://openalex.org/W1518788270"],"abstract_inverted_index":{"Creating":[0],"a":[1,8,42,65,79,97,120,131,144,246],"coherent":[2],"summary":[3],"of":[4,14,123,136,180,183,189,205,259],"the":[5,12,51,61,124,137,149,163,190,196,206,260],"text":[6,53,127],"is":[7,41,109,152,174,193,209,255],"challenging":[9],"task":[10],"in":[11],"field":[13],"Natural":[15],"Language":[16],"Processing":[17],"(NLP).":[18],"Various":[19],"Automatic":[20,106],"Text":[21,107],"Summarization":[22],"techniques":[23],"have":[24,70],"been":[25,71],"developed":[26],"for":[27,73,105,228,235],"abstractive":[28],"as":[29,31,143],"well":[30],"extractive":[32,38,74,114],"summarization.":[33],"This":[34],"study":[35],"focuses":[36],"on":[37,78,167],"summarization":[39,75],"which":[40],"process":[43],"containing":[44],"selected":[45],"delineative":[46],"paragraphs":[47],"or":[48],"sentences":[49,135,165],"from":[50],"original":[52,125],"and":[54,91,185,200,232,253],"combining":[55],"these":[56],"into":[57],"smaller":[58],"forms":[59],"than":[60,226],"document(s)":[62],"to":[63,111,161,176,244],"generate":[64,112],"summary.":[66,115,202],"The":[67,116,171,187,203,216],"methods":[68,241],"that":[69,219,257],"used":[72],"are":[76,159,242,263],"based":[77],"graph-theoretic":[80],"approach,":[81],"machine":[82],"learning,":[83],"Latent":[84],"Semantic":[85],"Analysis":[86],"(LSA),":[87],"neural":[88],"networks,":[89],"cluster,":[90],"fuzzy":[92],"logic.":[93],"In":[94],"this":[95],"paper,":[96],"semantic":[98,121,132,150,169],"graph-based":[99],"approach":[100,104,118,173,192],"SGATS":[101],"(Semantic":[102],"Graph-based":[103],"Summarization)":[108],"proposed":[110,117,172,191,207,221],"an":[113],"constructs":[119],"graph":[122,151,156],"Hindi":[126,140],"document":[128,138,164],"by":[129],"establishing":[130],"relationship":[133],"between":[134,248],"using":[139,211],"Wordnet":[141],"ontology":[142],"background":[145],"knowledge":[146],"source.":[147],"Once":[148],"constructed,":[153],"fourteen":[154],"different":[155,181,250],"theoretical":[157],"measures":[158,252,262],"applied":[160,175,243],"rank":[162],"depending":[166],"their":[168],"scores.":[170],"two":[177],"data":[178],"sets":[179],"domains":[182],"Tourism":[184],"Health.":[186],"performance":[188,204],"compared":[194],"with":[195],"state-of-the-art":[197],"TextRank":[198,227],"algorithm":[199],"human-annotated":[201],"system":[208,222],"evaluated":[210],"widely":[212],"accepted":[213],"ROUGE":[214],"measures.":[215],"outcomes":[217],"exhibit":[218],"our":[220],"produces":[223],"better":[224],"results":[225,234],"health":[229],"domain":[230],"corpus":[231],"comparable":[233],"tourism":[236],"corpus.":[237],"Further,":[238],"correlation":[239,247],"coefficient":[240],"find":[245],"eight":[249],"graphical":[251,261],"it":[254],"observed":[256],"most":[258],"highly":[264],"correlated.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}