{"id":"https://openalex.org/W3114953629","doi":"https://doi.org/10.18653/v1/2020.aacl-main.8","title":"Lightweight Text Classifier using Sinusoidal Positional Encoding","display_name":"Lightweight Text Classifier using Sinusoidal Positional Encoding","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3114953629","doi":"https://doi.org/10.18653/v1/2020.aacl-main.8","mag":"3114953629"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.aacl-main.8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2020.aacl-main.8","pdf_url":"https://aclanthology.org/2020.aacl-main.8.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2020.aacl-main.8.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028353136","display_name":"Byoung-Doo Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Byoung-Doo Oh","raw_affiliation_strings":["Hallym University, Chuncheon, South Korea"],"affiliations":[{"raw_affiliation_string":"Hallym University, Chuncheon, South Korea","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022447403","display_name":"Yu-Seop Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yu-Seop Kim","raw_affiliation_strings":["Hallym University, Chuncheon, South Korea"],"affiliations":[{"raw_affiliation_string":"Hallym University, Chuncheon, South Korea","institution_ids":["https://openalex.org/I146824383"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028353136"],"corresponding_institution_ids":["https://openalex.org/I146824383"],"apc_list":null,"apc_paid":null,"fwci":0.2718,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66244322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9990000128746033,"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":0.8694124817848206},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6780192852020264},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6606873869895935},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6545355319976807},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6135088205337524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6027950048446655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4817933440208435},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44154295325279236},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42917773127555847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8694124817848206},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6780192852020264},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6606873869895935},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6545355319976807},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6135088205337524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6027950048446655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4817933440208435},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44154295325279236},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42917773127555847},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2020.aacl-main.8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2020.aacl-main.8","pdf_url":"https://aclanthology.org/2020.aacl-main.8.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2020.aacl-main.8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2020.aacl-main.8","pdf_url":"https://aclanthology.org/2020.aacl-main.8.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2536963748","display_name":null,"funder_award_id":"2019R1A2C2006010","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3114953629.pdf","grobid_xml":"https://content.openalex.org/works/W3114953629.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1832693441","https://openalex.org/W2014902591","https://openalex.org/W2070246124","https://openalex.org/W2095705004","https://openalex.org/W2120615054","https://openalex.org/W2163455955","https://openalex.org/W2265846598","https://openalex.org/W2562220579","https://openalex.org/W2804552911","https://openalex.org/W2941599692","https://openalex.org/W2952383053","https://openalex.org/W2962853356","https://openalex.org/W2963012544","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W2964265128","https://openalex.org/W2980888783","https://openalex.org/W2995426144"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W2944691285"],"abstract_inverted_index":{"Byoung-Doo":[0],"Oh,":[1],"Yu-Seop":[2],"Kim.":[3],"Proceedings":[4],"of":[5,9,13],"the":[6,10,14,20],"1st":[7],"Conference":[8,24],"Asia-Pacific":[11],"Chapter":[12],"Association":[15],"for":[16],"Computational":[17],"Linguistics":[18],"and":[19],"10th":[21],"International":[22],"Joint":[23],"on":[25],"Natural":[26],"Language":[27],"Processing.":[28],"2020.":[29]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
