{"id":"https://openalex.org/W2942647609","doi":"https://doi.org/10.1145/3297280.3300200","title":"Semantic analysis for paraphrase identification using semantic role labeling","display_name":"Semantic analysis for paraphrase identification using semantic role labeling","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2942647609","doi":"https://doi.org/10.1145/3297280.3300200","mag":"2942647609"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3300200","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3300200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-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/A5100375228","display_name":"Eunji Lee","orcid":"https://orcid.org/0000-0001-5916-2301"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eunji Lee","raw_affiliation_strings":["Chosun University"],"affiliations":[{"raw_affiliation_string":"Chosun University","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071393059","display_name":"Htet Myet Lynn","orcid":"https://orcid.org/0000-0003-1111-3337"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Htet Myet Lynn","raw_affiliation_strings":["Chosun University"],"affiliations":[{"raw_affiliation_string":"Chosun University","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111479318","display_name":"Hyoungju Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyoungju Kim","raw_affiliation_strings":["Chosun University"],"affiliations":[{"raw_affiliation_string":"Chosun University","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057089774","display_name":"Soonja Yeom","orcid":"https://orcid.org/0000-0002-5843-101X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soonja Yeom","raw_affiliation_strings":["University of Tasimania"],"affiliations":[{"raw_affiliation_string":"University of Tasimania","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061116975","display_name":"Pankoo Kim","orcid":"https://orcid.org/0000-0003-0111-5152"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Pankoo Kim","raw_affiliation_strings":["Chosun University"],"affiliations":[{"raw_affiliation_string":"Chosun University","institution_ids":["https://openalex.org/I152238500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100375228"],"corresponding_institution_ids":["https://openalex.org/I152238500"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54358613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"2135","last_page":"2138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9872000217437744,"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/paraphrase","display_name":"Paraphrase","score":0.8696403503417969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.815522313117981},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.7959528565406799},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6604878902435303},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6399933695793152},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6011680960655212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5299319624900818},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.46001172065734863},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.45756250619888306},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4558464586734772},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4465493857860565},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.42782971262931824},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18147504329681396},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13348841667175293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07625114917755127}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.8696403503417969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815522313117981},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7959528565406799},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6604878902435303},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6399933695793152},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6011680960655212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299319624900818},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.46001172065734863},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.45756250619888306},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4558464586734772},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4465493857860565},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.42782971262931824},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18147504329681396},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13348841667175293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07625114917755127},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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":[{"id":"doi:10.1145/3297280.3300200","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3300200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W111475876","https://openalex.org/W1504636771","https://openalex.org/W1532325895","https://openalex.org/W1566018662","https://openalex.org/W1568589650","https://openalex.org/W1572567744","https://openalex.org/W2029304247","https://openalex.org/W2116512345","https://openalex.org/W2158847908","https://openalex.org/W2250965361"],"related_works":["https://openalex.org/W191017350","https://openalex.org/W4206666510","https://openalex.org/W2018298289","https://openalex.org/W2782520308","https://openalex.org/W3175194702","https://openalex.org/W2167109146","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349"],"abstract_inverted_index":{"Reuse":[0],"of":[1,10,12,19,63,78,120,130],"documents":[2,160],"has":[3],"been":[4,83],"prominently":[5],"appeared":[6],"during":[7],"the":[8,17,66,86,118,128,148,154,158],"course":[9],"digitalization":[11],"information":[13,108],"contents":[14],"owing":[15],"to":[16,57,74,95],"widespread":[18],"internet":[20],"and":[21,32,37],"smartphones":[22],"in":[23,43,109,176],"various":[24,80],"complex":[25],"forms":[26],"such":[27],"as":[28,60,105],"inserting":[29],"words,":[30],"omitting":[31],"substituting,":[33],"changing":[34],"word":[35,42],"order,":[36],"etc.":[38],"Especially,":[39],"when":[40],"a":[41,48,61,97,142],"document":[44],"is":[45,94],"substituted":[46],"with":[47,127,153],"similar":[49,152],"word,":[50],"it":[51,59,124,166],"would":[52],"be":[53],"an":[54],"issue":[55],"not":[56],"consider":[58],"subject":[62],"measurement":[64,70,88,98,137],"for":[65,135,138,157,170],"existing":[67,139],"morphological":[68],"similarity":[69,87,102,132,136],"method.":[71],"In":[72],"order":[73],"resolve":[75],"this":[76,121],"kind":[77],"problem,":[79],"researches":[81],"have":[82],"conducted":[84],"on":[85,100],"considering":[89],"semantic":[90,101,106,113],"information.":[91],"This":[92],"study":[93],"propose":[96],"method":[99,129,150,156],"being":[103,133],"characterized":[104],"role":[107,114],"sentences":[110,172],"acquired":[111],"by":[112],"labeling.":[115],"To":[116],"assess":[117],"performance":[119],"proposed":[122,149],"method,":[123],"was":[125],"compared":[126],"substring":[131],"utilized":[134],"documents.":[140],"As":[141],"result,":[143],"we":[144],"could":[145],"identify":[146],"that":[147],"performed":[151],"conventional":[155],"plagiarized":[159],"which":[161,173],"were":[162,174],"rarely":[163],"modified":[164],"whereas":[165],"had":[167],"improved":[168],"results":[169],"paraphrasing":[171],"changed":[175],"structure.":[177]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
