{"id":"https://openalex.org/W3095226752","doi":"https://doi.org/10.1155/2020/9757032","title":"A Deep Paraphrase Identification Model Interacting Semantics with Syntax","display_name":"A Deep Paraphrase Identification Model Interacting Semantics with Syntax","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3095226752","doi":"https://doi.org/10.1155/2020/9757032","mag":"3095226752"},"language":"en","primary_location":{"id":"doi:10.1155/2020/9757032","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/9757032","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9757032.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/9757032.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090227237","display_name":"Leilei Kong","orcid":"https://orcid.org/0000-0002-4636-3507"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Kong","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan 528225, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan 528225, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017588481","display_name":"Zhongyuan Han","orcid":"https://orcid.org/0000-0001-8960-9872"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongyuan Han","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan 528225, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan 528225, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102020125","display_name":"Yong Han","orcid":"https://orcid.org/0000-0002-9416-2398"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Han","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan 528225, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan 528225, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042722970","display_name":"Haoliang Qi","orcid":"https://orcid.org/0000-0003-1321-5820"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoliang Qi","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan 528225, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan 528225, China","institution_ids":["https://openalex.org/I14894300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017588481"],"corresponding_institution_ids":["https://openalex.org/I14894300"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.4078,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70555543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9944999814033508,"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/paraphrase","display_name":"Paraphrase","score":0.9801687598228455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7848572134971619},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7416606545448303},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.7039514780044556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7013604640960693},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.587849497795105},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.559770941734314},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4829937219619751},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33051130175590515},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15077057480812073}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.9801687598228455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7848572134971619},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7416606545448303},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.7039514780044556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7013604640960693},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.587849497795105},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.559770941734314},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4829937219619751},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33051130175590515},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15077057480812073},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/9757032","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/9757032","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9757032.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:9757032","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/9757032.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:a7bc453cfb7f46a4b33c505249a69d17","is_oa":true,"landing_page_url":"https://doaj.org/article/a7bc453cfb7f46a4b33c505249a69d17","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/9757032","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/9757032","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9757032.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1383224178","display_name":null,"funder_award_id":"61772177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6362401501","display_name":null,"funder_award_id":"61806075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3095226752.pdf","grobid_xml":"https://content.openalex.org/works/W3095226752.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W131533222","https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1544505227","https://openalex.org/W1566018662","https://openalex.org/W1614298861","https://openalex.org/W1967043694","https://openalex.org/W1988041031","https://openalex.org/W2028776121","https://openalex.org/W2045929671","https://openalex.org/W2048110207","https://openalex.org/W2055064928","https://openalex.org/W2096810317","https://openalex.org/W2099884836","https://openalex.org/W2102803645","https://openalex.org/W2103305545","https://openalex.org/W2104246439","https://openalex.org/W2113937265","https://openalex.org/W2120615054","https://openalex.org/W2123301721","https://openalex.org/W2124185477","https://openalex.org/W2131744502","https://openalex.org/W2131876387","https://openalex.org/W2135875128","https://openalex.org/W2136189984","https://openalex.org/W2145685230","https://openalex.org/W2147308966","https://openalex.org/W2147742901","https://openalex.org/W2153579005","https://openalex.org/W2163605009","https://openalex.org/W2170738476","https://openalex.org/W2180877453","https://openalex.org/W2186845332","https://openalex.org/W2250503148","https://openalex.org/W2250889812","https://openalex.org/W2265289447","https://openalex.org/W2286300105","https://openalex.org/W2291880741","https://openalex.org/W2294860948","https://openalex.org/W2295528990","https://openalex.org/W2337330164","https://openalex.org/W2581256107","https://openalex.org/W2612867916","https://openalex.org/W2618530766","https://openalex.org/W2736149021","https://openalex.org/W2773143256","https://openalex.org/W2887951915","https://openalex.org/W2896457183","https://openalex.org/W2908999587","https://openalex.org/W2940368023","https://openalex.org/W2951359136","https://openalex.org/W2963355447","https://openalex.org/W3036832735","https://openalex.org/W4206827264","https://openalex.org/W4210984920","https://openalex.org/W4294170691","https://openalex.org/W6631190155","https://openalex.org/W6632555176","https://openalex.org/W6680239946","https://openalex.org/W6696328460","https://openalex.org/W6702942736"],"related_works":["https://openalex.org/W191017350","https://openalex.org/W3137243147","https://openalex.org/W4321512656","https://openalex.org/W4391150403","https://openalex.org/W2081749821","https://openalex.org/W1968572830","https://openalex.org/W2090814745","https://openalex.org/W2154994723","https://openalex.org/W2029896371","https://openalex.org/W2030395623"],"abstract_inverted_index":{"Paraphrase":[0,113],"identification":[1,17,39,149],"is":[2],"central":[3],"to":[4,20,58],"many":[5],"natural":[6],"language":[7,27],"applications.":[8],"Based":[9],"on":[10,70,107],"the":[11,23,26,51,65,84,91,108,133,137,140],"insight":[12],"that":[13,130],"a":[14,36,97],"successful":[15],"paraphrase":[16,38,47,85,123,148],"model":[18,40],"needs":[19],"adequately":[21],"capture":[22],"semantics":[24,42,78,92],"of":[25,68,76,110],"objects":[28],"as":[29,31],"well":[30],"their":[32],"interactions,":[33],"we":[34],"present":[35],"deep":[37,147],"interacting":[41,77,90],"with":[43,79,93,101],"syntax":[44,94],"(DPIM-ISS)":[45],"for":[46,122],"identification.":[48],"DPIM-ISS":[49,82,131],"introduces":[50],"linguistic":[52],"features":[53,57],"manifested":[54],"in":[55],"syntactic":[56,72],"produce":[59],"more":[60],"explicit":[61],"structures":[62,73],"and":[63,118,145],"encodes":[64],"semantic":[66],"representation":[67,89],"sentence":[69],"different":[71],"by":[74,95],"means":[75],"syntax.":[80],"Then,":[81],"learns":[83],"pattern":[86],"from":[87],"this":[88],"exploiting":[96],"convolutional":[98],"neural":[99,142],"network":[100],"convolution-pooling":[102],"structure.":[103],"Experiments":[104],"are":[105],"conducted":[106],"corpus":[109,121],"Microsoft":[111],"Research":[112],"(MSRP),":[114],"PAN":[115,119],"2010":[116],"corpus,":[117],"2012":[120],"plagiarism":[124],"detection.":[125],"The":[126],"experimental":[127],"results":[128],"demonstrate":[129],"outperforms":[132],"classical":[134],"word-matching":[135],"approaches,":[136,139],"syntax-similarity":[138],"convolution":[141],"network-based":[143],"models,":[144],"some":[146],"models.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}