{"id":"https://openalex.org/W2086672204","doi":"https://doi.org/10.1109/his.2012.6421329","title":"Adding intelligence to non-corpus based word sense disambiguation","display_name":"Adding intelligence to non-corpus based word sense disambiguation","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2086672204","doi":"https://doi.org/10.1109/his.2012.6421329","mag":"2086672204"},"language":"en","primary_location":{"id":"doi:10.1109/his.2012.6421329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","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/A5015893715","display_name":"Sayali Charhate","orcid":null},"institutions":[{"id":"https://openalex.org/I163361683","display_name":"Cognizant (United States)","ror":"https://ror.org/036s7bw54","country_code":"US","type":"company","lineage":["https://openalex.org/I163361683"]},{"id":"https://openalex.org/I4210117535","display_name":"Cognizant (India)","ror":"https://ror.org/01x51st25","country_code":"IN","type":"company","lineage":["https://openalex.org/I163361683","https://openalex.org/I4210117535"]}],"countries":["IN","US"],"is_corresponding":true,"raw_author_name":"Sayali Charhate","raw_affiliation_strings":["Cognizant Technology Solutions India Private Limited, Pune, India","Cognizant Technology Solutions India Pvt. Ltd., Pune, India"],"affiliations":[{"raw_affiliation_string":"Cognizant Technology Solutions India Private Limited, Pune, India","institution_ids":["https://openalex.org/I4210117535"]},{"raw_affiliation_string":"Cognizant Technology Solutions India Pvt. Ltd., Pune, India","institution_ids":["https://openalex.org/I163361683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112705608","display_name":"Anurag Dani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117535","display_name":"Cognizant (India)","ror":"https://ror.org/01x51st25","country_code":"IN","type":"company","lineage":["https://openalex.org/I163361683","https://openalex.org/I4210117535"]},{"id":"https://openalex.org/I163361683","display_name":"Cognizant (United States)","ror":"https://ror.org/036s7bw54","country_code":"US","type":"company","lineage":["https://openalex.org/I163361683"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Anurag Dani","raw_affiliation_strings":["Cognizant Technology Solutions India Private Limited, Pune, India","Cognizant Technology Solutions India Pvt. Ltd., Pune, India"],"affiliations":[{"raw_affiliation_string":"Cognizant Technology Solutions India Private Limited, Pune, India","institution_ids":["https://openalex.org/I4210117535"]},{"raw_affiliation_string":"Cognizant Technology Solutions India Pvt. Ltd., Pune, India","institution_ids":["https://openalex.org/I163361683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003801416","display_name":"Rekha Sugandhi","orcid":"https://orcid.org/0000-0003-1349-6773"},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]},{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rekha Sugandhi","raw_affiliation_strings":["M. I. T. College of Engineering, Pune, India","MIT College of Engineering, Pune, India#TAB#"],"affiliations":[{"raw_affiliation_string":"M. I. T. College of Engineering, Pune, India","institution_ids":["https://openalex.org/I878213199"]},{"raw_affiliation_string":"MIT College of Engineering, Pune, India#TAB#","institution_ids":["https://openalex.org/I4210162439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028693190","display_name":"Varsha Patil","orcid":"https://orcid.org/0000-0002-4267-616X"},"institutions":[{"id":"https://openalex.org/I4210142428","display_name":"Indian Numismatic, Historical and Cultural Research Foundation","ror":"https://ror.org/0455mxm38","country_code":"IN","type":"archive","lineage":["https://openalex.org/I4210142428"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Varsha Patil","raw_affiliation_strings":["Matoshri College of Engineering and Research Centre, Nashik, India"],"affiliations":[{"raw_affiliation_string":"Matoshri College of Engineering and Research Centre, Nashik, India","institution_ids":["https://openalex.org/I4210142428"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015893715"],"corresponding_institution_ids":["https://openalex.org/I163361683","https://openalex.org/I4210117535"],"apc_list":null,"apc_paid":null,"fwci":0.8563,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79477644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"173","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9990000128746033,"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/wordnet","display_name":"WordNet","score":0.8757143616676331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.860589861869812},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.743053674697876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7350846529006958},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.7262398600578308},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.57822585105896},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5189616084098816},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4556170105934143},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4544225037097931},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3325449228286743}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8757143616676331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.860589861869812},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.743053674697876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7350846529006958},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.7262398600578308},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.57822585105896},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5189616084098816},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4556170105934143},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4544225037097931},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3325449228286743},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/his.2012.6421329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1555805532","https://openalex.org/W1647729745","https://openalex.org/W1971220772","https://openalex.org/W2041122867","https://openalex.org/W2081580037","https://openalex.org/W2100935296","https://openalex.org/W2136480620","https://openalex.org/W2166021673","https://openalex.org/W2328670775","https://openalex.org/W2344464929","https://openalex.org/W2436001372","https://openalex.org/W2950225692","https://openalex.org/W6633345489","https://openalex.org/W6636975626","https://openalex.org/W6675339850","https://openalex.org/W6677712588"],"related_works":["https://openalex.org/W189413142","https://openalex.org/W2480501668","https://openalex.org/W1561908597","https://openalex.org/W103065337","https://openalex.org/W2109049551","https://openalex.org/W2772864957","https://openalex.org/W4288373537","https://openalex.org/W2252015905","https://openalex.org/W3129000309","https://openalex.org/W2153346776"],"abstract_inverted_index":{"Natural":[0],"language":[1],"processing":[2,13],"applications":[3],"invariably":[4],"perform":[5],"word":[6,107],"sense":[7,18,48,108],"disambiguation":[8,19,49],"as":[9,25,27,53,92],"one":[10],"of":[11,17,34,81,129],"its":[12],"steps.":[14],"The":[15,110],"accuracy":[16],"depends":[20],"upon":[21],"an":[22,78],"efficient":[23],"algorithm":[24,118],"well":[26],"a":[28,82,89],"reliable":[29],"knowledge-base":[30],"in":[31,39,105],"the":[32,65,71,93,100,117],"form":[33],"annotated":[35],"corpus":[36,46,66],"and/or":[37],"dictionaries":[38],"machine":[40,55],"readable":[41],"form.":[42],"Algorithms":[43],"working":[44],"on":[45,64,70,88],"for":[47],"are":[50],"generally":[51],"employed":[52],"supervised":[54],"learning":[56],"systems.":[57],"But":[58],"such":[59],"systems":[60],"need":[61],"ample":[62],"training":[63],"before":[67,132],"being":[68],"applied":[69],"actual":[72],"data":[73],"set.":[74],"This":[75,96],"paper":[76],"discusses":[77],"unsupervised":[79],"approach":[80,97],"graph-based":[83],"technique":[84],"that":[85,103],"solely":[86],"works":[87],"machine-readable":[90],"dictionary":[91],"knowledge":[94],"source.":[95],"can":[98],"improve":[99],"bottleneck":[101],"problem":[102],"persists":[104],"corpus-based":[106],"disambiguation.":[109],"method":[111],"described":[112],"here":[113],"attempts":[114],"to":[115],"make":[116],"more":[119],"intelligent":[120],"by":[121],"considering":[122],"various":[123],"WordNet":[124],"semantic":[125],"relations":[126],"and":[127],"auto-filtration":[128],"content":[130],"words":[131],"graph":[133],"generation.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
