乐胖代购免代理版

{"id":"https://openalex.org/W4296885173","doi":"https://doi.org/10.1109/iiaiaai55812.2022.00138","title":"Verification of textual entailment in Japanese Using Sigmoid and ReLU Function","display_name":"Verification of textual entailment in Japanese Using Sigmoid and ReLU Function","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4296885173","doi":"https://doi.org/10.1109/iiaiaai55812.2022.00138"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiaiaai55812.2022.00138","pdf_url":null,"source":{"id":"https://openalex.org/S4363606114","display_name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5060856038","display_name":"Iori Fukumura","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"funder","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Iori Fukumura","raw_affiliation_strings":["Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020687006","display_name":"Masashi Akahori","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"funder","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Akahori","raw_affiliation_strings":["Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073643609","display_name":"Ryu Kubota","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"funder","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryu Kubota","raw_affiliation_strings":["Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091770084","display_name":"Sanggyu Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"funder","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sanggyu Shin","raw_affiliation_strings":["Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Computer Engineering, Tokai University, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":59},"biblio":{"volume":null,"issue":null,"first_page":"675","last_page":"676"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997,"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/T10028","display_name":"Topic Modeling","score":0.9994,"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":0.9986,"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/textual-entailment","display_name":"Textual entailment","score":0.9534737}],"concepts":[{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.9534737},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.845145},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7640904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68396807},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.57678014},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.51296395},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiaiaai55812.2022.00138","pdf_url":null,"source":{"id":"https://openalex.org/S4363606114","display_name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.77,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":2,"referenced_works":["https://openalex.org/W2322111595","https://openalex.org/W3171416375"],"related_works":["https://openalex.org/W2911667057","https://openalex.org/W2795227599","https://openalex.org/W2784994561","https://openalex.org/W2296063830","https://openalex.org/W2118335617","https://openalex.org/W2053800966","https://openalex.org/W1997269821","https://openalex.org/W1987976971","https://openalex.org/W192785878","https://openalex.org/W131127834"],"abstract_inverted_index":{"Many":[0],"items":[1],"must":[2],"be":[3,34],"especially":[4],"considered":[5],"in":[6],"recognizing":[7],"the":[8,15],"textual":[9,37,52],"entailment":[10,38],"of":[11,51],"Japanese":[12],"compared":[13],"with":[14],"multi-lingual.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20],"will":[21],"create":[22],"several":[23],"machine":[24],"learning":[25],"models":[26],"that":[27],"take":[28],"as":[29],"input":[30],"two":[31],"sentences":[32],"to":[33],"checked":[35],"for":[36,49],"and":[39,43],"their":[40],"correct":[41],"labels":[42],"examine":[44],"which":[45],"methods":[46],"are":[47],"effective":[48],"inference":[50],"entailment.":[53]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4296885173","counts_by_year":[],"updated_date":"2025-03-05T06:25:53.746129","created_date":"2022-09-24"}