{"id":"https://openalex.org/W3202920633","doi":"https://doi.org/10.1017/s1351324921000279","title":"Evaluation of taxonomic and neural embedding methods for calculating semantic similarity","display_name":"Evaluation of taxonomic and neural embedding methods for calculating semantic similarity","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3202920633","doi":"https://doi.org/10.1017/s1351324921000279","mag":"3202920633"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324921000279","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324921000279","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2209.15197","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044281812","display_name":"Dongqiang Yang","orcid":"https://orcid.org/0000-0002-3053-6610"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongqiang Yang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-3053-6610","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074651866","display_name":"Yanqin Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqin Yin","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044281812"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":0.521,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73339401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"28","issue":"6","first_page":"733","last_page":"761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9977999925613403,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.8371975421905518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011764049530029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6706339716911316},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5971291661262512},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5830883383750916},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"Distributional semantics","score":0.5572801828384399},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.48090338706970215},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.41166165471076965},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.13747376203536987},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09078997373580933}],"concepts":[{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.8371975421905518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011764049530029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706339716911316},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5971291661262512},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5830883383750916},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.5572801828384399},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.48090338706970215},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.41166165471076965},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.13747376203536987},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09078997373580933}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s1351324921000279","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324921000279","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2209.15197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.15197","pdf_url":"https://arxiv.org/pdf/2209.15197","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2209.15197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.15197","pdf_url":"https://arxiv.org/pdf/2209.15197","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":153,"referenced_works":["https://openalex.org/W81904617","https://openalex.org/W101928771","https://openalex.org/W165057458","https://openalex.org/W168903346","https://openalex.org/W332950216","https://openalex.org/W570345984","https://openalex.org/W1492829923","https://openalex.org/W1503259811","https://openalex.org/W1551268210","https://openalex.org/W1567365482","https://openalex.org/W1573498319","https://openalex.org/W1614298861","https://openalex.org/W1615991656","https://openalex.org/W1660473243","https://openalex.org/W1662133657","https://openalex.org/W1668989518","https://openalex.org/W1710422233","https://openalex.org/W1731542712","https://openalex.org/W1797725788","https://openalex.org/W1814992895","https://openalex.org/W1816181311","https://openalex.org/W1836521361","https://openalex.org/W1854884267","https://openalex.org/W1859313536","https://openalex.org/W1926956132","https://openalex.org/W1950936596","https://openalex.org/W1966907789","https://openalex.org/W1978400666","https://openalex.org/W1980885411","https://openalex.org/W2003240077","https://openalex.org/W2005181355","https://openalex.org/W2038721957","https://openalex.org/W2041258965","https://openalex.org/W2050375379","https://openalex.org/W2053921957","https://openalex.org/W2056105869","https://openalex.org/W2058602429","https://openalex.org/W2080100102","https://openalex.org/W2081580037","https://openalex.org/W2084377579","https://openalex.org/W2087739686","https://openalex.org/W2099364528","https://openalex.org/W2100935296","https://openalex.org/W2102381086","https://openalex.org/W2103318667","https://openalex.org/W2107229268","https://openalex.org/W2115792525","https://openalex.org/W2117149238","https://openalex.org/W2117539524","https://openalex.org/W2117753247","https://openalex.org/W2117805756","https://openalex.org/W2119997099","https://openalex.org/W2120699290","https://openalex.org/W2120779048","https://openalex.org/W2121147707","https://openalex.org/W2123489126","https://openalex.org/W2125031621","https://openalex.org/W2132631284","https://openalex.org/W2135255848","https://openalex.org/W2136480620","https://openalex.org/W2136930489","https://openalex.org/W2140887277","https://openalex.org/W2142120379","https://openalex.org/W2146157311","https://openalex.org/W2147152072","https://openalex.org/W2149933564","https://openalex.org/W2152909313","https://openalex.org/W2153579005","https://openalex.org/W2154699792","https://openalex.org/W2158899491","https://openalex.org/W2163605009","https://openalex.org/W2164019165","https://openalex.org/W2170682101","https://openalex.org/W2250539671","https://openalex.org/W2250770256","https://openalex.org/W2250879510","https://openalex.org/W2250930514","https://openalex.org/W2251012068","https://openalex.org/W2251044566","https://openalex.org/W2251771443","https://openalex.org/W2251803266","https://openalex.org/W2284469117","https://openalex.org/W2321470647","https://openalex.org/W2341557172","https://openalex.org/W2395566507","https://openalex.org/W2493916176","https://openalex.org/W2508412229","https://openalex.org/W2534712034","https://openalex.org/W2603222250","https://openalex.org/W2613678836","https://openalex.org/W2618530766","https://openalex.org/W2620558438","https://openalex.org/W2622194446","https://openalex.org/W2740711318","https://openalex.org/W2888329843","https://openalex.org/W2890249124","https://openalex.org/W2896457183","https://openalex.org/W2904759072","https://openalex.org/W2908854766","https://openalex.org/W2920277907","https://openalex.org/W2923014074","https://openalex.org/W2948947170","https://openalex.org/W2950225692","https://openalex.org/W2951489508","https://openalex.org/W2951798058","https://openalex.org/W2952230511","https://openalex.org/W2953332543","https://openalex.org/W2953369973","https://openalex.org/W2954699761","https://openalex.org/W2962739339","https://openalex.org/W2963026768","https://openalex.org/W2963366649","https://openalex.org/W2963636167","https://openalex.org/W2963748441","https://openalex.org/W2964232431","https://openalex.org/W2970172244","https://openalex.org/W2970925903","https://openalex.org/W2979401726","https://openalex.org/W2988217457","https://openalex.org/W2998704965","https://openalex.org/W3035102548","https://openalex.org/W3104846106","https://openalex.org/W3105096579","https://openalex.org/W3118485687","https://openalex.org/W4214751380","https://openalex.org/W4235505822","https://openalex.org/W4243316868","https://openalex.org/W4255386104","https://openalex.org/W4285719527","https://openalex.org/W4288109189","https://openalex.org/W4288351520","https://openalex.org/W4288631803","https://openalex.org/W4294170691","https://openalex.org/W4298444569","https://openalex.org/W4298568819","https://openalex.org/W4299518610","https://openalex.org/W4300388893","https://openalex.org/W4302343710","https://openalex.org/W4385245566","https://openalex.org/W6629751161","https://openalex.org/W6634395915","https://openalex.org/W6637782871","https://openalex.org/W6640673246","https://openalex.org/W6662807706","https://openalex.org/W6663947504","https://openalex.org/W6675905764","https://openalex.org/W6679840752","https://openalex.org/W6680532216","https://openalex.org/W6683738474","https://openalex.org/W6691444529","https://openalex.org/W6739901393","https://openalex.org/W6757123339","https://openalex.org/W6769430610"],"related_works":["https://openalex.org/W1965623300","https://openalex.org/W3134365128","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2541135911","https://openalex.org/W2359259132","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W4387489691","https://openalex.org/W2103835134"],"abstract_inverted_index":{"Abstract":[0],"Modelling":[1],"semantic":[2,10,17,23,69,152,211],"similarity":[3,18,26,103,114,125,137,172,187,212,222],"plays":[4],"a":[5,33,42,72,147,191,204],"fundamental":[6],"role":[7],"in":[8,32,50,60,71,90,154,166,186],"lexical":[9],"applications.":[11],"A":[12],"natural":[13],"way":[14],"of":[15,109,119,179,216],"calculating":[16],"is":[19,160],"to":[20,40,150,156,194],"access":[21],"handcrafted":[22],"networks,":[24],"but":[25],"prediction":[27,188],"can":[28,139,169],"also":[29],"be":[30,41],"anticipated":[31],"distributional":[34,102,157],"vector":[35],"space.":[36],"Similarity":[37],"calculation":[38],"continues":[39],"challenging":[43],"task,":[44],"even":[45],"with":[46,112,183],"the":[47,77,96,117,133,142,177],"latest":[48],"breakthroughs":[49],"deep":[51],"neural":[52,181],"language":[53],"models.":[54],"We":[55,84],"first":[56],"examined":[57],"popular":[58],"methodologies":[59],"measuring":[61],"taxonomic":[62,92,100,136],"similarity,":[63],"including":[64],"edge-counting":[65,159],"that":[66,80,130,203],"solely":[67],"employs":[68],"relations":[70,185],"taxonomy,":[73],"as":[74,76,146],"well":[75],"complex":[78],"methods":[79],"estimate":[81],"concept":[82,184],"specificity.":[83],"further":[85],"extrapolated":[86],"three":[87],"weighting":[88],"factors":[89],"modelling":[91],"similarity.":[93],"To":[94],"study":[95],"distinct":[97],"mechanisms":[98],"between":[99],"and":[101,124,168,175,221],"measures,":[104],"we":[105],"ran":[106],"head-to-head":[107],"comparisons":[108],"each":[110],"measure":[111,170],"human":[113],"judgements":[115],"from":[116,162],"perspectives":[118],"word":[120,171,217],"frequency,":[121,218],"polysemy":[122],"degree":[123,220],"intensity.":[126,223],"Our":[127],"findings":[128],"suggest":[129],"without":[131],"fine-tuning":[132],"uniform":[134],"distance,":[135],"measures":[138],"depend":[140],"on":[141,198,209],"shortest":[143],"path":[144],"length":[145],"prime":[148],"factor":[149],"predict":[151],"similarity;":[153],"contrast":[155],"semantics,":[158],"free":[161],"sense":[163],"distribution":[164],"bias":[165],"use":[167],"both":[173],"literally":[174],"metaphorically;":[176],"synergy":[178],"retrofitting":[180],"embeddings":[182],"may":[189],"indicate":[190],"new":[192],"trend":[193],"leverage":[195],"knowledge":[196],"bases":[197],"transfer":[199],"learning.":[200],"It":[201],"appears":[202],"large":[205],"gap":[206],"still":[207],"exists":[208],"computing":[210],"among":[213],"different":[214],"ranges":[215],"polysemous":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2021-10-11T00:00:00"}
