{"id":"https://openalex.org/W4392374255","doi":"https://doi.org/10.1080/08839514.2024.2321552","title":"STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models","display_name":"STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392374255","doi":"https://doi.org/10.1080/08839514.2024.2321552"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2321552","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2321552","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2321552?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2321552?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030604537","display_name":"Hai Liao","orcid":"https://orcid.org/0000-0002-2862-7863"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]},{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Liao","raw_affiliation_strings":["School of Computer Engineering, Chengdu Technological University, Chengdu, China","School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","School of Software, Sichuan Vocational College of Information Technology, Guangyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]},{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Software, Sichuan Vocational College of Information Technology, Guangyuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013218178","display_name":"Yan Liang","orcid":"https://orcid.org/0000-0002-1617-457X"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Liang","raw_affiliation_strings":["School of Computer Engineering, Chengdu Technological University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759700","display_name":"Song Chen","orcid":"https://orcid.org/0000-0002-8037-3004"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Chen","raw_affiliation_strings":["School of Computer Engineering, Chengdu Technological University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113132145","display_name":"Lingyun Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Lingyun Xiang","raw_affiliation_strings":["Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036825683","display_name":"Zhimin Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhimin Chang","raw_affiliation_strings":["The Research and Development Department, HAN Networks Corporation Limited, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The Research and Development Department, HAN Networks Corporation Limited, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088681939","display_name":"Xiao Yun","orcid":"https://orcid.org/0000-0002-1538-5279"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Xiao","raw_affiliation_strings":["School of Software, Sichuan Vocational College of Information Technology, Guangyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Sichuan Vocational College of Information Technology, Guangyuan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013218178"],"corresponding_institution_ids":["https://openalex.org/I4401041622","https://openalex.org/I44468530"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.3475,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61228501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"38","issue":"1","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":0.9993000030517578,"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":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973000288009644,"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":0.9940000176429749,"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":0.9349764585494995},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6858280301094055},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6110095977783203},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5904480814933777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5750942826271057},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5527681708335876},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4888836741447449},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.48174241185188293},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.47643595933914185},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4720141589641571},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4519405961036682},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4033432900905609},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3352813720703125},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20931637287139893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9349764585494995},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6858280301094055},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6110095977783203},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5904480814933777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5750942826271057},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5527681708335876},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4888836741447449},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.48174241185188293},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.47643595933914185},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4720141589641571},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4519405961036682},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4033432900905609},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3352813720703125},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20931637287139893},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2321552","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2321552","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2321552?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e0b2d0c0e6a4cfdbf704bbc290efa2c","is_oa":true,"landing_page_url":"https://doaj.org/article/2e0b2d0c0e6a4cfdbf704bbc290efa2c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2321552","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2321552","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2321552?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392374255.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1490960179","https://openalex.org/W2280395961","https://openalex.org/W2599674900","https://openalex.org/W2735784619","https://openalex.org/W2750779823","https://openalex.org/W2761224677","https://openalex.org/W2799054028","https://openalex.org/W2895891814","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2913293259","https://openalex.org/W2913954081","https://openalex.org/W2923014074","https://openalex.org/W2950813464","https://openalex.org/W2978017171","https://openalex.org/W2981852735","https://openalex.org/W2996035354","https://openalex.org/W3011411500","https://openalex.org/W3021792233","https://openalex.org/W3033187248","https://openalex.org/W3080956857","https://openalex.org/W3082097605","https://openalex.org/W3088609916","https://openalex.org/W3105668694","https://openalex.org/W3122890974","https://openalex.org/W3130880317","https://openalex.org/W4205807230","https://openalex.org/W4210831095","https://openalex.org/W4250526791","https://openalex.org/W4285043061","https://openalex.org/W4286224767","https://openalex.org/W4287824654","https://openalex.org/W4288089799","https://openalex.org/W4297733535","https://openalex.org/W4308145216","https://openalex.org/W4309623083","https://openalex.org/W4318348158","https://openalex.org/W4327550249","https://openalex.org/W4385814146","https://openalex.org/W4387424307","https://openalex.org/W4389675199","https://openalex.org/W4390439232","https://openalex.org/W6636975626"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W2968543375","https://openalex.org/W2571817549","https://openalex.org/W1541975828","https://openalex.org/W2888625260","https://openalex.org/W2179743027","https://openalex.org/W4285666902","https://openalex.org/W2994684392"],"abstract_inverted_index":{"Short":[0],"text":[1,58,111,162],"semantic":[2,52,59,97,106,112,163],"similarity":[3,19],"is":[4,14,45,71,122,176],"a":[5,192],"crucial":[6],"research":[7],"area":[8],"in":[9,34,73],"nature":[10],"language":[11,69,91],"processing,":[12],"which":[13,125,175],"used":[15],"to":[16,24,48,81,93],"predict":[17],"the":[18,25,35,38,50,78,95,105,117,145,153,159,167,185,197],"between":[20],"two":[21],"sentences.":[22,100],"Due":[23],"sparsity":[26,107],"features":[27,131],"of":[28,40,99,141,147,173,187],"short":[29,57,161],"texts,":[30],"words":[31,41],"are":[32,42],"isolated":[33],"sentence":[36],"and":[37,67,86,132,151],"correlations":[39,150],"ignored,":[43],"it":[44,88,102],"very":[46],"difficult":[47],"calculate":[49],"global":[51,96],"information.":[53],"Based":[54],"on":[55,64,116,196],"this,":[56],"graph":[60,113,118],"(STSG)":[61],"model":[62,169],"based":[63,115],"dependency":[65,84,134,155],"parsing":[66],"pre-trained":[68,90],"models":[70,92],"proposed":[72],"this":[74],"paper.":[75],"It":[76],"utilizes":[77],"syntactic":[79],"information":[80,98],"obtain":[82],"word":[83,127,133,149,154],"relationships":[85],"incorporate":[87],"into":[89],"enhance":[94],"So":[101],"can":[103,143],"address":[104],"more":[108],"effectively.":[109,157],"A":[110],"layer":[114],"attention":[119,139],"network":[120],"(GAT)":[121],"also":[123],"realized,":[124],"regards":[126],"vectors":[128],"as":[129,135],"node":[130],"edge":[136],"features.":[137],"The":[138],"mechanism":[140],"GAT":[142],"identify":[144],"importance":[146],"different":[148],"solve":[152],"modeling":[156],"On":[158],"challenging":[160],"benchmark":[164],"dataset":[165],"MRPC,":[166],"STSG":[168,189],"achieves":[170],"an":[171],"F1-score":[172],".946,":[174],"further":[177],"improved":[178],"2.16%":[179],"over":[180],"previous":[181],"SOTA":[182,194],"approaches.":[183],"At":[184],"time":[186],"writing,":[188],"has":[190],"achieved":[191],"new":[193],"performance":[195],"MRPC":[198],"dataset.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}