{"id":"https://openalex.org/W2967184580","doi":"https://doi.org/10.1142/s0218001420500196","title":"Sentence Similarity Algorithm Based on Fused Bi-Channel Dependency Matching Feature","display_name":"Sentence Similarity Algorithm Based on Fused Bi-Channel Dependency Matching Feature","publication_year":2019,"publication_date":"2019-08-13","ids":{"openalex":"https://openalex.org/W2967184580","doi":"https://doi.org/10.1142/s0218001420500196","mag":"2967184580"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001420500196","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420500196","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 of Pattern Recognition and Artificial Intelligence","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":"https://openalex.org/A5033162130","display_name":"Xiaohan Guan","orcid":"https://orcid.org/0000-0003-2345-6572"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Guan","raw_affiliation_strings":["Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-2345-6572","affiliations":[{"raw_affiliation_string":"Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019175711","display_name":"Jianhui Han","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Han","raw_affiliation_strings":["Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603417","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0001-7205-441X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442185","display_name":"Mengmeng Zhang","orcid":"https://orcid.org/0000-0002-2016-741X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Zhang","raw_affiliation_strings":["Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Institute, North China University of Technology, No. 5, Jinyuanzhuang, Shijingshan District, Beijing, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.2824,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65446122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"34","issue":"07","first_page":"2050019","last_page":"2050019"},"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/T13083","display_name":"Advanced Text Analysis 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/T10181","display_name":"Natural Language Processing Techniques","score":0.9940999746322632,"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":0.8038984537124634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7171124815940857},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6526676416397095},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5795737504959106},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5573740601539612},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5490708947181702},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5416041612625122},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5079830288887024},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.479608416557312},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4573509097099304},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4439041018486023},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4410797357559204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4397760033607483},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4230729937553406},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4224499464035034},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4205315113067627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13008174300193787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12538138031959534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8038984537124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7171124815940857},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6526676416397095},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5795737504959106},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5573740601539612},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5490708947181702},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5416041612625122},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5079830288887024},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.479608416557312},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4573509097099304},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4439041018486023},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4410797357559204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4397760033607483},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4230729937553406},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4224499464035034},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4205315113067627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13008174300193787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12538138031959534},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001420500196","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420500196","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G269901404","display_name":null,"funder_award_id":"61370111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8311127291","display_name":null,"funder_award_id":"4172020","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2251427843","https://openalex.org/W2626047032","https://openalex.org/W2919115771","https://openalex.org/W4321001938"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W2966570129","https://openalex.org/W3099449837","https://openalex.org/W2774861092","https://openalex.org/W2622845166","https://openalex.org/W4301351852","https://openalex.org/W2912737652","https://openalex.org/W2507611421"],"abstract_inverted_index":{"Many":[0],"tasks":[1],"of":[2,19,45,75,165,174],"natural":[3,155],"language":[4,156],"processing":[5],"such":[6],"as":[7],"information":[8,58],"retrieval,":[9],"intelligent":[10],"question":[11],"answering,":[12],"and":[13,59,77,94,114,123,154,167],"machine":[14],"translation":[15],"require":[16],"the":[17,28,38,67,84,91,125,137,140,147,163,172,186],"calculation":[18,24],"sentence":[20,85],"similarity.":[21,86],"The":[22,144,158,181],"traditional":[23],"methods":[25],"used":[26],"in":[27,133],"past":[29],"could":[30],"not":[31],"solve":[32],"semantic":[33],"understanding":[34],"problems":[35],"well.":[36],"First,":[37],"model":[39,108,117,138,148,187],"structure":[40],"based":[41,65],"on":[42,66,149],"Siamese":[43],"lack":[44],"interaction":[46,131],"between":[47,178],"sentences;":[48],"second,":[49],"it":[50],"has":[51],"matching":[52,63,68,101,106,119,142,176],"problem":[53],"which":[54],"contains":[55],"lacking":[56],"position":[57],"only":[60],"using":[61,112,198],"partial":[62],"factor":[64],"model.":[69],"In":[70],"this":[71],"paper,":[72],"a":[73,103],"combination":[74,88,164],"word":[76,92,166],"word\u2019s":[78,95,168],"dependence":[79,169],"is":[80,109],"proposed":[81,110],"to":[82],"calculate":[83],"This":[87,116],"can":[89,170,190],"extract":[90,99],"features":[93,120,177],"dependency":[96,129,189],"features.":[97,143],"To":[98],"more":[100],"features,":[102],"bi-directional":[104],"multi-interaction":[105],"sequence":[107],"by":[111,121],"word2vec":[113],"dependency2vec.":[115],"obtains":[118],"convolving":[122],"pooling":[124],"word-granularity":[126],"(word":[127],"vector,":[128],"vector)":[130],"sequences":[132],"two":[134,150,179],"directions.":[135],"Next,":[136],"aggregates":[139],"bi-direction":[141],"paper":[145],"evaluates":[146],"tasks:":[151],"paraphrase":[152],"identification":[153],"inference.":[157],"experimental":[159],"results":[160,182],"show":[161,184],"that":[162,185],"enhance":[171],"ability":[173],"extracting":[175],"sentences.":[180],"also":[183],"with":[188],"achieve":[191],"higher":[192],"accuracy":[193],"than":[194],"these":[195],"models":[196],"without":[197],"dependency.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}