{"id":"https://openalex.org/W2783863087","doi":"https://doi.org/10.1109/besc.2017.8256391","title":"Word sense disambiguation by semantic inference","display_name":"Word sense disambiguation by semantic inference","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2783863087","doi":"https://doi.org/10.1109/besc.2017.8256391","mag":"2783863087"},"language":"en","primary_location":{"id":"doi:10.1109/besc.2017.8256391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc.2017.8256391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102758573","display_name":"Xinda Wang","orcid":"https://orcid.org/0009-0003-1463-432X"},"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":"Xinda Wang","raw_affiliation_strings":["School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, P. R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080845656","display_name":"Xuri Tang","orcid":"https://orcid.org/0000-0002-2442-4436"},"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":"Xuri Tang","raw_affiliation_strings":["School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, P. R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054564404","display_name":"Weiguang Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguang Qu","raw_affiliation_strings":["School of Computer Science, Nanjing Normal University, Nanjing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing Normal University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109452148","display_name":"Min Gu","orcid":"https://orcid.org/0000-0002-1537-1758"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Gu","raw_affiliation_strings":["School of Computer Science, Nanjing Normal University, Nanjing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing Normal University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.969,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81643758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9998999834060669,"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":0.9921000003814697,"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":0.9062628746032715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8891507387161255},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.8355287313461304},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.8013383150100708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7491352558135986},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6849992871284485},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5537958741188049},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5532368421554565},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.49791574478149414},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46011051535606384},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.43949103355407715},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.43703776597976685},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4188271462917328},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15369248390197754}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9062628746032715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8891507387161255},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8355287313461304},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.8013383150100708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7491352558135986},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6849992871284485},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5537958741188049},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5532368421554565},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.49791574478149414},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46011051535606384},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.43949103355407715},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.43703776597976685},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4188271462917328},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15369248390197754},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc.2017.8256391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc.2017.8256391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1486097837","https://openalex.org/W1487777768","https://openalex.org/W1509248455","https://openalex.org/W1550933260","https://openalex.org/W1555354714","https://openalex.org/W1555805532","https://openalex.org/W1596112425","https://openalex.org/W2031026221","https://openalex.org/W2035959783","https://openalex.org/W2123489126","https://openalex.org/W2129520810","https://openalex.org/W2132313827","https://openalex.org/W2146597590","https://openalex.org/W2178663970","https://openalex.org/W2219047839","https://openalex.org/W2436001372","https://openalex.org/W2740782137","https://openalex.org/W3098853332","https://openalex.org/W4235505822","https://openalex.org/W6629012200","https://openalex.org/W6629279049","https://openalex.org/W6630416197","https://openalex.org/W6633345489","https://openalex.org/W6678207380"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2252023808","https://openalex.org/W3114765853","https://openalex.org/W4385570727","https://openalex.org/W2468744590","https://openalex.org/W2114711916","https://openalex.org/W2622126923","https://openalex.org/W4375852672","https://openalex.org/W2251084681","https://openalex.org/W195025754"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"algorithm":[4,31,111],"for":[5,42,115],"unsupervised":[6,128],"Word":[7],"Sense":[8],"Disambiguation":[9],"to":[10,37,65],"bypass":[11],"the":[12,21,30,43,54,67,70,76,83,86,90,97,102,110,126,133,136],"knowledge":[13,137],"bottleneck":[14],"faced":[15],"by":[16,26,52],"supervised":[17],"approaches.":[18],"By":[19],"simulating":[20],"semantic":[22],"inference":[23],"process":[24],"performed":[25],"human":[27],"language":[28],"users,":[29],"makes":[32],"use":[33],"of":[34,69,85],"a":[35,47],"thesaurus":[36],"obtain":[38,75],"potential":[39],"substitute":[40,50,58,71,78],"words":[41],"target":[44,55,87],"word":[45,56,79,88],"in":[46,89,106,130],"sentence,":[48],"builds":[49],"constructs":[51],"replacing":[53],"with":[57,93],"words,":[59],"uses":[60],"large-scale":[61],"dependency":[62],"parsed":[63],"corpora":[64,98],"calculate":[66],"likelihood":[68],"constructs,":[72],"and":[73,96,118],"then":[74],"best":[77,127],"which":[80,120],"help":[81],"specify":[82],"sense":[84],"sentence.":[91],"Experiments":[92],"WordNet":[94],"2.1":[95],"English":[99],"Gigawords":[100],"on":[101],"lexical":[103],"sample":[104],"task":[105],"SemEval-2007":[107],"show":[108],"that":[109,135],"achieves":[112],"the-state-of-art":[113],"accuracy":[114],"both":[116],"nouns":[117],"verbs,":[119],"are":[121],"3-5":[122],"percent":[123],"higher":[124],"than":[125],"system":[129],"SemEval-2007,":[131],"given":[132],"condition":[134],"source":[138],"provides":[139],"sufficient":[140],"information.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}