{"id":"https://openalex.org/W4214494001","doi":"https://doi.org/10.1142/s0218213022500038","title":"A New Approach for Explicit Distributional Semantic Vector Representation Based on Dependency Distance and Bias Elimination","display_name":"A New Approach for Explicit Distributional Semantic Vector Representation Based on Dependency Distance and Bias Elimination","publication_year":2022,"publication_date":"2022-02-01","ids":{"openalex":"https://openalex.org/W4214494001","doi":"https://doi.org/10.1142/s0218213022500038"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213022500038","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500038","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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":null,"display_name":"Atefe Pakzad","orcid":"https://orcid.org/0000-0001-6792-760X"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Atefe Pakzad","raw_affiliation_strings":["School of Computer Engineering, Iran University of Science and Technology, Hengam Street, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-6792-760X","affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Iran University of Science and Technology, Hengam Street, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039172016","display_name":"Morteza Analoui","orcid":"https://orcid.org/0000-0001-6792-760X"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Morteza Analoui","raw_affiliation_strings":["School of Computer Engineering, Iran University of Science and Technology, Hengam Street, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Iran University of Science and Technology, Hengam Street, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039172016"],"corresponding_institution_ids":["https://openalex.org/I67009956"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01612145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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":0.9962999820709229,"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":0.992900013923645,"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":0.9897000193595886,"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/computer-science","display_name":"Computer science","score":0.8409205675125122},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6637945175170898},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6229172945022583},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5816038846969604},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5599930286407471},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.542431116104126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339020490646362},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5049028992652893},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47699692845344543},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43997761607170105},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4362573027610779},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4135821461677551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1455073058605194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409205675125122},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6637945175170898},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6229172945022583},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5816038846969604},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5599930286407471},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.542431116104126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339020490646362},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5049028992652893},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47699692845344543},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43997761607170105},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4362573027610779},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4135821461677551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1455073058605194},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213022500038","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500038","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2005801347","https://openalex.org/W2372385138","https://openalex.org/W2186640231","https://openalex.org/W4296359239","https://openalex.org/W1557905920","https://openalex.org/W2797876554"],"abstract_inverted_index":{"We":[0,16,154],"consider":[1],"the":[2,5,63,82,86,89,94,119,122,130,144,156,165,179,182,188,207,212,222,228],"problem":[3],"of":[4,8,49,65,85,121,181],"semantic":[6,20,43,99],"representation":[7],"words":[9,87,136,215],"based":[10,111],"on":[11,18,112,146],"explicit":[12,19],"basis":[13,25],"word":[14,59,166],"vectors.":[15],"focus":[17],"vectors":[21,44],"in":[22,88,158,163],"which":[23],"each":[24],"vector":[26],"is":[27],"equivalent":[28],"to":[29,41,117,133,177],"a":[30,38,76,161,175],"unique":[31],"word.":[32],"In":[33,125],"this":[34,126],"paper,":[35],"we":[36,53,74,106,128,142],"propose":[37,75,107],"new":[39,56],"approach":[40,47,186],"represent":[42],"explicitly.":[45],"The":[46,171],"consists":[48],"three":[50],"steps:":[51],"First,":[52],"introduce":[54],"two":[55,108],"factors":[57,116],"called":[58],"similarity":[60],"(WS)":[61],"and":[62,114,137,150,196,203,220],"number":[64],"zeroes":[66],"(NZ)":[67],"for":[68,192],"choosing":[69],"informative":[70],"context":[71,135,214],"words.":[72,184],"Second,":[73],"dependency":[77,218],"distance":[78],"method":[79,95,173,225],"by":[80,199],"incorporating":[81,217],"syntactic":[83,103],"relations":[84],"sentences.":[90],"This":[91],"means":[92],"that":[93,211],"uses":[96,174],"not":[97],"only":[98],"information":[100],"but":[101],"also":[102],"one.":[104],"Third,":[105],"shifting":[109,224],"methods":[110],"WF":[113],"WS":[115],"eliminate":[118],"bias":[120],"PPMI":[123],"matrix.":[124],"work,":[127],"use":[129],"ukWaC":[131],"corpus":[132],"select":[134],"compute":[138],"co-occurrence":[139],"matrices.":[140],"Then,":[141],"examine":[143],"results":[145,209],"MEN,":[147,193],"RG-65,":[148,194],"SimLex-999,":[149,195],"WordSim353":[151,197],"test":[152],"sets.":[153],"report":[155],"performance":[157],"comparison":[159],"with":[160],"Baseline":[162,172],"which,":[164],"frequency":[167],"has":[168],"been":[169],"used.":[170],"window":[176],"fix":[178],"influence":[180],"neighboring":[183],"Our":[185],"improves":[187],"Spearman":[189],"correlation":[190],"coefficient":[191],"datasets":[198],"3.87%,":[200],"10.25%,":[201],"5.04%,":[202],"5.24%,":[204],"respectively.":[205],"So,":[206],"experiment":[208],"show":[210],"proposed":[213],"selection,":[216],"distance,":[219],"using":[221],"WF-based":[223],"significantly":[226],"improve":[227],"performance.":[229]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}