{"id":"https://openalex.org/W4223975934","doi":"https://doi.org/10.3233/aic-210085","title":"A cross-lingual sentence pair interaction feature capture model based on pseudo-corpus and multilingual embedding","display_name":"A cross-lingual sentence pair interaction feature capture model based on pseudo-corpus and multilingual embedding","publication_year":2022,"publication_date":"2022-04-15","ids":{"openalex":"https://openalex.org/W4223975934","doi":"https://doi.org/10.3233/aic-210085"},"language":"en","primary_location":{"id":"doi:10.3233/aic-210085","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-210085","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","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/A5109282686","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0002-7032-8429"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Liu","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042298145","display_name":"Yichao Dong","orcid":"https://orcid.org/0009-0008-9399-4337"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yichao Dong","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437036","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0002-6170-4744"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068187201","display_name":"Zhizheng Yan","orcid":"https://orcid.org/0000-0002-3729-364X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizheng Yan","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042298145"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.4162,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66899824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"35","issue":"1","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":0.9986000061035156,"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":0.9937999844551086,"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":0.8400720357894897},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.7577649354934692},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6728376150131226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6313573122024536},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6027920246124268},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5840427279472351},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5756019949913025},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5137065649032593},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5128679275512695},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.509558916091919},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.20382529497146606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8400720357894897},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.7577649354934692},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6728376150131226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313573122024536},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6027920246124268},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5840427279472351},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5756019949913025},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5137065649032593},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5128679275512695},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.509558916091919},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.20382529497146606},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/aic-210085","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-210085","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2126725946","https://openalex.org/W2142074148","https://openalex.org/W2251765408","https://openalex.org/W2286300105","https://openalex.org/W2517456239","https://openalex.org/W2593644299","https://openalex.org/W2740132093","https://openalex.org/W2740534027","https://openalex.org/W2740664249","https://openalex.org/W2741602058","https://openalex.org/W2766099664","https://openalex.org/W2769280657","https://openalex.org/W2888389098","https://openalex.org/W2949359738","https://openalex.org/W2950797315","https://openalex.org/W2953158692","https://openalex.org/W2962739339","https://openalex.org/W2963123788","https://openalex.org/W2963729324","https://openalex.org/W2964266061","https://openalex.org/W2970641574","https://openalex.org/W2990246560","https://openalex.org/W3008781785","https://openalex.org/W3015824233","https://openalex.org/W3024401989","https://openalex.org/W3044797218","https://openalex.org/W3082523222","https://openalex.org/W3093181844","https://openalex.org/W3104723404","https://openalex.org/W3105816068","https://openalex.org/W3128804606","https://openalex.org/W3138167173","https://openalex.org/W6679155404","https://openalex.org/W6715601721","https://openalex.org/W6753206523","https://openalex.org/W6776886370","https://openalex.org/W6791827758"],"related_works":["https://openalex.org/W2600654830","https://openalex.org/W2950396480","https://openalex.org/W947140380","https://openalex.org/W4327797521","https://openalex.org/W4286432911","https://openalex.org/W2911655849","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906"],"abstract_inverted_index":{"Recently,":[0],"the":[1,4,9,22,37,48,133],"emergence":[2],"of":[3,11,16,24,39,50],"digital":[5],"language":[6,40,125],"division":[7],"and":[8,75,106,115,127],"availability":[10],"cross-lingual":[12,17,55,74,80,100,135],"benchmarks":[13],"make":[14],"researches":[15],"texts":[18],"more":[19],"popular.":[20],"However,":[21],"performance":[23],"existing":[25],"methods":[26],"based":[27],"on":[28,66,91,123],"mapping":[29],"relation":[30],"are":[31,42,110,121],"not":[32,43],"good":[33],"enough,":[34],"because":[35],"sometimes":[36],"structures":[38],"spaces":[41],"isomorphic.":[44],"Besides,":[45],"polysemy":[46,114],"makes":[47],"extraction":[49],"interaction":[51,83,101,117],"features":[52],"hard.":[53],"For":[54,79],"word":[56,77,136],"embedding,":[57],"a":[58,86],"model":[59,95,105],"named":[60],"Cross-lingual":[61],"Word":[62],"Embedding":[63],"Space":[64],"Based":[65,90],"Pseudo":[67],"Corpus":[68],"(CWE-PC)":[69],"is":[70,96],"proposed":[71],"to":[72,98,112],"obtain":[73],"multilingual":[76],"embedding.":[78],"sentence":[81],"pair":[82],"feature":[84],"capture,":[85],"Cross-language":[87],"Feature":[88],"Capture":[89],"Similarity":[92],"Matrix":[93],"(CFC-SM)":[94],"built":[97],"extract":[99,116],"features.":[102,118],"ELMo":[103],"pretrained":[104],"multiple":[107,124],"layer":[108],"convolution":[109],"used":[111],"alleviate":[113],"These":[119],"models":[120],"evaluated":[122],"pairs":[126],"results":[128],"show":[129],"that":[130],"they":[131],"outperform":[132],"state-of-the-art":[134],"embedding":[137],"methods.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
