{"id":"https://openalex.org/W4378977285","doi":"https://doi.org/10.1109/aisp57993.2023.10134960","title":"Comparative Analysis of Path-based Similarity Measures for Word Sense Disambiguation","display_name":"Comparative Analysis of Path-based Similarity Measures for Word Sense Disambiguation","publication_year":2023,"publication_date":"2023-03-18","ids":{"openalex":"https://openalex.org/W4378977285","doi":"https://doi.org/10.1109/aisp57993.2023.10134960"},"language":"en","primary_location":{"id":"doi:10.1109/aisp57993.2023.10134960","doi":"https://doi.org/10.1109/aisp57993.2023.10134960","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aisp57993.2023.10134960","pdf_url":null,"source":{"id":"https://openalex.org/S4363608535","display_name":"International Conference on Artificial Intelligence and Signal Processing (AISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5065622750","display_name":"Prajna Jha","orcid":"https://orcid.org/0000-0002-2937-2487","observed_orcids":["https://orcid.org/0000-0002-2937-2487"]},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prajna Jha","raw_affiliation_strings":["University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","institution_ids":["https://openalex.org/I168893459"]},{"raw_affiliation_string":"Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022988151","display_name":"Shreya Agarwal","orcid":"https://orcid.org/0000-0001-8713-2679","observed_orcids":["https://orcid.org/0000-0001-8713-2679"]},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shreya Agarwal","raw_affiliation_strings":["University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","institution_ids":["https://openalex.org/I168893459"]},{"raw_affiliation_string":"Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050441675","display_name":"Ali Abbas","orcid":"https://orcid.org/0000-0002-7914-9574","observed_orcids":["https://orcid.org/0000-0002-7914-9574"]},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ali Abbas","raw_affiliation_strings":["University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","institution_ids":["https://openalex.org/I168893459"]},{"raw_affiliation_string":"Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021143956","display_name":"Tanveer Jahan Siddiqui","orcid":"https://orcid.org/0000-0002-8190-0646","observed_orcids":["https://orcid.org/0000-0002-8190-0646"]},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanveer Siddiqui","raw_affiliation_strings":["University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Allahabad,Dept. of Electronics and Communication,Prayagraj,India","institution_ids":["https://openalex.org/I168893459"]},{"raw_affiliation_string":"Dept. of Electronics and Communication, University of Allahabad, Prayagraj, India","institution_ids":["https://openalex.org/I168893459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168893459"],"apc_list":null,"apc_paid":null,"fwci":0.5524,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6741887,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.0006000000284984708,"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/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"word sense disambiguation","score":0.9980000257492065},{"id":"https://openalex.org/keywords/hindi","display_name":"Hindi","score":0.7649999856948853},{"id":"https://openalex.org/keywords/random-walks","display_name":"random walks","score":0.8769999742507935},{"id":"https://openalex.org/keywords/shortest-path","display_name":"shortest path","score":0.7039999961853027},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"semantic similarity","score":0.8180000185966492},{"id":"https://openalex.org/keywords/polysemy","display_name":"polysemy","score":0.8560000061988831},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.7279999852180481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744639873504639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6337474584579468},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5599070191383362},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5547967553138733},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5495412349700928},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5389472246170044},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.5224248766899109},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5126637816429138},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4683009684085846},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45395606756210327},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4325062036514282},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.4266061782836914},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4191069006919861},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41619405150413513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3564434051513672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3064441680908203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20458728075027466},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18474137783050537},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.12948289513587952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11879807710647583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05889618396759033},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aisp57993.2023.10134960","doi":"https://doi.org/10.1109/aisp57993.2023.10134960","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aisp57993.2023.10134960","pdf_url":null,"source":{"id":"https://openalex.org/S4363608535","display_name":"International Conference on Artificial Intelligence and Signal Processing (AISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1606886736","https://openalex.org/W1676064113","https://openalex.org/W2110946763","https://openalex.org/W2114189169","https://openalex.org/W2188838662","https://openalex.org/W2250774597","https://openalex.org/W2332732142","https://openalex.org/W2436001372","https://openalex.org/W2465936308","https://openalex.org/W2576170458","https://openalex.org/W2787475999","https://openalex.org/W3126340490","https://openalex.org/W4285252238"],"related_works":["https://openalex.org/W186382421","https://openalex.org/W2128809169","https://openalex.org/W4403209615","https://openalex.org/W4386387166","https://openalex.org/W3107872770","https://openalex.org/W2612803498","https://openalex.org/W2091823966","https://openalex.org/W2528159132","https://openalex.org/W2110962789","https://openalex.org/W1650631982"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,18],"have":[4],"implemented":[5],"a":[6,20,70],"novel":[7],"unsupervised":[8],"graph-based":[9],"algorithm":[10],"for":[11,26],"Hindi":[12],"Word":[13],"Sense":[14],"Disambiguation.":[15],"For":[16],"disambiguation,":[17],"perform":[19],"random":[21],"walk":[22],"on":[23],"graph":[24,33],"created":[25],"each":[27],"instance.":[28],"The":[29,47,65],"nodes":[30],"in":[31,41],"the":[32,38,42,89],"are":[34,50],"various":[35],"senses":[36],"of":[37,44,57,84,91],"words":[39],"appearing":[40],"context":[43],"ambiguous":[45],"word.":[46],"edge":[48],"weights":[49],"assigned":[51],"using":[52],"semantic":[53],"similarity":[54,63,72],"between":[55],"pair":[56],"nodes.":[58],"We":[59,80],"compare":[60],"two":[61],"path-based":[62],"measures.":[64],"experimental":[66],"investigations":[67],"suggest":[68],"that":[69],"Leacock-Chodrow":[71],"measure":[73],"performs":[74],"better":[75],"than":[76],"Shortest":[77],"path":[78],"measure.":[79],"observed":[81],"an":[82],"accuracy":[83],"72.09%":[85],"averaged":[86],"over":[87],"all":[88],"instances":[90],"five":[92],"Polysemous":[93],"nouns.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-06-02T00:00:00"}