{"id":"https://openalex.org/W4412747920","doi":"https://doi.org/10.1109/access.2025.3593857","title":"Improving Semantic Parsing and Text Generation Through Multi-Faceted Data Augmentation","display_name":"Improving Semantic Parsing and Text Generation Through Multi-Faceted Data Augmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412747920","doi":"https://doi.org/10.1109/access.2025.3593857"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3593857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3593857","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3593857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008746407","display_name":"Muhammad Saad Amin","orcid":"https://orcid.org/0000-0002-7002-9373"},"institutions":[{"id":"https://openalex.org/I4210099850","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Torino","ror":"https://ror.org/01vj6ck58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210099850"]},{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Muhammad Saad Amin","raw_affiliation_strings":["Dipartimento di Informatica, Università di Torino, Turin, Italy","Dipartimento di Informatica, Università di Torino, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7002-9373","affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Università di Torino, Turin, Italy","institution_ids":["https://openalex.org/I55143463"]},{"raw_affiliation_string":"Dipartimento di Informatica, Università di Torino, Torino, Italy","institution_ids":["https://openalex.org/I4210099850","https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043355817","display_name":"Luca Anselma","orcid":"https://orcid.org/0000-0003-2292-6480"},"institutions":[{"id":"https://openalex.org/I4210099850","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Torino","ror":"https://ror.org/01vj6ck58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210099850"]},{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Anselma","raw_affiliation_strings":["Dipartimento di Informatica, Università di Torino, Turin, Italy","Dipartimento di Informatica, Università di Torino, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2292-6480","affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Università di Torino, Turin, Italy","institution_ids":["https://openalex.org/I55143463"]},{"raw_affiliation_string":"Dipartimento di Informatica, Università di Torino, Torino, Italy","institution_ids":["https://openalex.org/I4210099850","https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013143796","display_name":"Alessandro Mazzei","orcid":"https://orcid.org/0000-0003-3072-0108"},"institutions":[{"id":"https://openalex.org/I4210099850","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Torino","ror":"https://ror.org/01vj6ck58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210099850"]},{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Mazzei","raw_affiliation_strings":["Dipartimento di Informatica, Università di Torino, Turin, Italy","Dipartimento di Informatica, Università di Torino, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3072-0108","affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Università di Torino, Turin, Italy","institution_ids":["https://openalex.org/I55143463"]},{"raw_affiliation_string":"Dipartimento di Informatica, Università di Torino, Torino, Italy","institution_ids":["https://openalex.org/I4210099850","https://openalex.org/I55143463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5399,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90463412,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"150145","last_page":"150167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9476000070571899,"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":0.9476000070571899,"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":0.8524535894393921},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7274629473686218},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5922237634658813},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.5058274269104004},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47650662064552307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44762346148490906},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.44357359409332275},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.34792304039001465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8524535894393921},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7274629473686218},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5922237634658813},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.5058274269104004},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47650662064552307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44762346148490906},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.44357359409332275},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.34792304039001465}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3593857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3593857","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9aade174b6b941bc9b99301f120c44de","is_oa":true,"landing_page_url":"https://doaj.org/article/9aade174b6b941bc9b99301f120c44de","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 150145-150167 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3593857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3593857","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W655477013","https://openalex.org/W2033194278","https://openalex.org/W2064675550","https://openalex.org/W2095589793","https://openalex.org/W2101105183","https://openalex.org/W2250342921","https://openalex.org/W2468355276","https://openalex.org/W2594470997","https://openalex.org/W2798546337","https://openalex.org/W2949442273","https://openalex.org/W2971037578","https://openalex.org/W2996176596","https://openalex.org/W2996696903","https://openalex.org/W3001434439","https://openalex.org/W3034812953","https://openalex.org/W3103699753","https://openalex.org/W3105214104","https://openalex.org/W3164045210","https://openalex.org/W3169483174","https://openalex.org/W3173115050","https://openalex.org/W3174547290","https://openalex.org/W3183291103","https://openalex.org/W3201915713","https://openalex.org/W3202698243","https://openalex.org/W4214877181","https://openalex.org/W4240642450","https://openalex.org/W4253028564","https://openalex.org/W4285059449","https://openalex.org/W4285228888","https://openalex.org/W4327656064","https://openalex.org/W4327713864","https://openalex.org/W4328052783","https://openalex.org/W4385565354","https://openalex.org/W4385571874","https://openalex.org/W4385572488","https://openalex.org/W4386488909","https://openalex.org/W4386566459","https://openalex.org/W4386902339","https://openalex.org/W4392367355","https://openalex.org/W4399171333","https://openalex.org/W4408973331","https://openalex.org/W4411630034"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W3088470625","https://openalex.org/W2952780262","https://openalex.org/W3035970863","https://openalex.org/W2619584063","https://openalex.org/W2970260326","https://openalex.org/W2804916787","https://openalex.org/W2389755172","https://openalex.org/W2142145894","https://openalex.org/W4381248170"],"abstract_inverted_index":{"The":[0,79,100,177],"increasing":[1],"use":[2],"of":[3,87,111,167,183],"large":[4],"language":[5,17],"models":[6,124],"has":[7],"heightened":[8],"the":[9,88,181],"demand":[10],"for":[11,52,144,161,192],"more":[12],"extensive":[13],"datasets":[14],"in":[15,77,114,152,169,174,188],"natural":[16],"processing":[18],"(NLP).":[19],"While":[20],"various":[21],"augmentation":[22,50,101,186],"techniques":[23,51],"are":[24],"being":[25],"employed":[26],"to":[27,83],"enhance":[28],"data":[29,49],"quantity,":[30],"many":[31],"introduce":[32],"noise":[33],"or":[34],"struggle":[35],"with":[36],"structurally":[37],"complex":[38,193],"inputs":[39],"like":[40],"Discourse":[41],"Representation":[42],"Structures":[43],"(DRS).":[44],"This":[45],"study":[46],"introduces":[47],"novel":[48],"both":[53,103],"semantic":[54,95,145,195],"parsing":[55,196],"(Text-to-DRS)":[56],"and":[57,72,97,105,128,156,172,197],"text":[58,162],"generation":[59,198],"(DRS-to-Text),":[60],"emphasizing":[61],"enhancements":[62],"such":[63],"as":[64],"named":[65],"entity":[66],"augmentation,":[67],"lexical":[68],"substitutions":[69],"utilizing":[70],"WordNet,":[71],"grammatical":[73],"transformations":[74],"through":[75],"changes":[76],"tense.":[78],"proposed":[80,185],"methods":[81],"led":[82],"a":[84,109,149],"considerable":[85],"expansion":[86],"Parallel":[89],"Meaning":[90],"Bank":[91],"(PMB)":[92],"dataset,":[93],"ensuring":[94],"accuracy":[96],"contextual":[98],"relevance.":[99],"increased":[102],"gold":[104],"silver":[106],"instances":[107],"by":[108],"factor":[110],"9,":[112],"resulting":[113],"over":[115],"1.3":[116],"million":[117],"new":[118],"examples.":[119],"We":[120],"evaluated":[121],"four":[122],"transformer":[123],"(byT5,":[125],"mT5,":[126],"T5,":[127],"mBART)":[129],"using":[130],"this":[131],"augmented":[132],"dataset.":[133],"Experimental":[134],"evaluations":[135],"revealed":[136],"substantial":[137],"improvements":[138,166,179],"across":[139],"multiple":[140],"performance":[141],"metrics.":[142],"Notably,":[143],"parsing,":[146],"we":[147,164],"observed":[148,178],"17.65%":[150],"increase":[151],"SMATCH":[153],"(F1)":[154],"score,":[155],"among":[157],"different":[158],"evaluation":[159],"measures":[160],"generation,":[163],"have":[165],"14.38%":[168],"BLEU":[170],"score":[171],"6.43%":[173],"METEOR":[175],"score.":[176],"highlight":[180],"effectiveness":[182],"our":[184],"methodologies":[187],"boosting":[189],"model":[190],"capabilities":[191],"neural":[194],"tasks.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}