{"id":"https://openalex.org/W3201368271","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533571","title":"Word Sense Disambiguation based on Sequence Topic Model using sense dependency","display_name":"Word Sense Disambiguation based on Sequence Topic Model using sense dependency","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201368271","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533571","mag":"3201368271"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5100703892","display_name":"Qi Yang","orcid":"https://orcid.org/0000-0001-6969-8724"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Yang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039670436","display_name":"Ruixuan Li","orcid":"https://orcid.org/0000-0002-7791-5511"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixuan Li","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432144","display_name":"Yuhua Li","orcid":"https://orcid.org/0000-0003-2913-4478"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Li","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083995138","display_name":"Xiwu Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwu Gu","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Tecnnology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100703892"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5526232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"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/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/T11550","display_name":"Text and Document Classification Technologies","score":0.9950000047683716,"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/semeval","display_name":"SemEval","score":0.9354907274246216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8296164274215698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6980370283126831},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6605308651924133},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6173785924911499},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.605122447013855},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5679630637168884},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5651642084121704},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.5365322828292847},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5069582462310791},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.4684351086616516},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4185335040092468},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3060982823371887},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.19263514876365662},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13476067781448364}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9354907274246216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8296164274215698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6980370283126831},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6605308651924133},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6173785924911499},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.605122447013855},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5679630637168884},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5651642084121704},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.5365322828292847},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5069582462310791},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.4684351086616516},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4185335040092468},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3060982823371887},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.19263514876365662},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13476067781448364},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1987387605","display_name":null,"funder_award_id":"U1401258,U1836204,U1936108,61572221,61433006,61572222,61502185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8430785282","display_name":null,"funder_award_id":"2016YFB0800402,2016QY01W0202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W135437175","https://openalex.org/W1510514866","https://openalex.org/W1971220772","https://openalex.org/W2031026221","https://openalex.org/W2035717317","https://openalex.org/W2081580037","https://openalex.org/W2094951132","https://openalex.org/W2101293500","https://openalex.org/W2106565589","https://openalex.org/W2112796553","https://openalex.org/W2127128140","https://openalex.org/W2131540451","https://openalex.org/W2148125485","https://openalex.org/W2159719802","https://openalex.org/W2159882563","https://openalex.org/W2212478058","https://openalex.org/W2251295383","https://openalex.org/W2251322122","https://openalex.org/W2251529656","https://openalex.org/W2436001372","https://openalex.org/W2480273168","https://openalex.org/W2507974895","https://openalex.org/W2518202280","https://openalex.org/W2740782137","https://openalex.org/W2758017605","https://openalex.org/W2782863194","https://openalex.org/W2944312134","https://openalex.org/W2962739339","https://openalex.org/W2964121225","https://openalex.org/W2976161557","https://openalex.org/W3035153870","https://openalex.org/W6605500565","https://openalex.org/W6630488758","https://openalex.org/W6675060156","https://openalex.org/W6678868981","https://openalex.org/W6681728980","https://openalex.org/W6688708133","https://openalex.org/W6691161265","https://openalex.org/W6691470440","https://openalex.org/W6747693556"],"related_works":["https://openalex.org/W12553087","https://openalex.org/W2867368","https://openalex.org/W7781810","https://openalex.org/W13799842","https://openalex.org/W12001281","https://openalex.org/W4031652","https://openalex.org/W10597021","https://openalex.org/W10129253","https://openalex.org/W4495689","https://openalex.org/W3405206"],"abstract_inverted_index":{"Word":[0],"sense":[1,13,36,40,63,73,87,96,103,123,136],"disambiguation":[2],"is":[3,75,127,141,197],"a":[4,15,164],"challenging":[5],"task":[6],"that":[7,32,85,143,189],"aims":[8],"to":[9,42,60,78,148],"distinguish":[10],"the":[11,24,29,34,44,52,56,62,66,86,90,95,98,102,109,119,122,134,144,154,161,170,185,191,194,200,210],"correct":[12,45],"for":[14,132],"target":[16,91],"word.":[17,100],"Unlike":[18],"typical":[19],"methods":[20],"which":[21],"only":[22],"use":[23],"context":[25],"information,":[26],"we":[27,50,83,159],"present":[28],"basic":[30],"idea":[31],"incorporates":[33],"global":[35,68],"distribution":[37,64,137],"and":[38,151,178,184],"contextual":[39,72],"dependency":[41,74,104],"determine":[43],"sense.":[46],"In":[47],"this":[48],"paper,":[49],"leverage":[51],"generative":[53],"process":[54],"of":[55,89,97,125,193],"sequence":[57],"topic":[58,111],"model":[59,61,112],"from":[65],"whole":[67],"corpus":[69],"directly.":[70],"Since":[71],"more":[76],"likely":[77],"happen":[79],"between":[80],"successive":[81],"words,":[82],"hypothesize":[84],"assignment":[88],"word":[92],"depends":[93],"on":[94,173],"previous":[99],"Hence,":[101],"could":[105],"be":[106],"modeled":[107],"by":[108,199],"probabilistic":[110],"with":[113,209],"hidden":[114],"Markov":[115],"chain":[116],"assumption.":[117],"Furthermore,":[118],"information":[120],"in":[121],"inventory":[124],"WordNet":[126],"used":[128],"as":[129],"prior":[130,145],"knowledge":[131,146],"obtaining":[133],"non-uniform":[135],"over":[138],"words.":[139],"It":[140],"notable":[142],"contributes":[147],"parameter":[149],"learning":[150],"inference":[152],"during":[153],"Gibbs":[155],"Sampling":[156],"procedure,":[157],"hence":[158],"call":[160],"proposed":[162,171,195],"method":[163,172,196],"knowledge-based":[165,212],"unsupervised":[166],"approach.":[167],"We":[168],"evaluate":[169],"Senseval-2,":[174],"Senseval-3,":[175],"SemEval-2007,":[176],"SemEval-2013,":[177],"SemEval-2015":[179],"English":[180],"All-Word":[181],"WSD":[182],"datasets":[183],"experimental":[186],"results":[187],"show":[188],"although":[190],"performance":[192,207],"restricted":[198],"sparse":[201],"problem,":[202],"it":[203],"still":[204],"achieves":[205],"comparable":[206],"compared":[208],"state-of-the-art":[211],"approaches.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
