{"id":"https://openalex.org/W4361981958","doi":"https://doi.org/10.1007/978-981-99-0741-0_37","title":"Y-X-Y Encoding for Identifying Types of Sentence Similarity","display_name":"Y-X-Y Encoding for Identifying Types of Sentence Similarity","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4361981958","doi":"https://doi.org/10.1007/978-981-99-0741-0_37"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-99-0741-0_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-0741-0_37","pdf_url":null,"source":{"id":"https://openalex.org/S4210216571","display_name":"Lecture notes on data engineering and communications technologies","issn_l":"2367-4512","issn":["2367-4512","2367-4520"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes on Data Engineering and Communications Technologies","raw_type":"book-chapter"},"type":"book-chapter","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/A5045571903","display_name":"Thanaporn Jinnovart","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Thanaporn Jinnovart","raw_affiliation_strings":["Chulalongkorn University, Bangkok, 10330, Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University, Bangkok, 10330, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038009786","display_name":"Chidchanok Lursinsap","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chidchanok Lursinsap","raw_affiliation_strings":["Chulalongkorn University, Bangkok, 10330, Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University, Bangkok, 10330, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045571903"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.5332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61255549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"522","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7376388311386108},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7048347592353821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.614164412021637},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6039678454399109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5784360766410828},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.5664703845977783},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5593469142913818},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.5522159337997437},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5519402623176575},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5236615538597107},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5147578716278076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4787232577800751},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4683496356010437},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41639775037765503},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.41037410497665405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29523688554763794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15030130743980408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07141175866127014}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7376388311386108},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7048347592353821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614164412021637},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6039678454399109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5784360766410828},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.5664703845977783},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5593469142913818},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.5522159337997437},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5519402623176575},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5236615538597107},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5147578716278076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4787232577800751},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4683496356010437},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41639775037765503},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.41037410497665405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29523688554763794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15030130743980408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07141175866127014},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-99-0741-0_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-0741-0_37","pdf_url":null,"source":{"id":"https://openalex.org/S4210216571","display_name":"Lecture notes on data engineering and communications technologies","issn_l":"2367-4512","issn":["2367-4512","2367-4520"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes on Data Engineering and Communications Technologies","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1840435438","https://openalex.org/W2064675550","https://openalex.org/W2250539671","https://openalex.org/W2251869843","https://openalex.org/W2251919380","https://openalex.org/W2882319491","https://openalex.org/W2896457183","https://openalex.org/W2962739339","https://openalex.org/W3105816068","https://openalex.org/W3105966348","https://openalex.org/W3183138634","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2169644218","https://openalex.org/W12963412","https://openalex.org/W2250460949","https://openalex.org/W3158371345","https://openalex.org/W3141423438","https://openalex.org/W2071098659","https://openalex.org/W2627035043","https://openalex.org/W4385571113","https://openalex.org/W2937401546","https://openalex.org/W3030695269"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}