{"id":"https://openalex.org/W4411639646","doi":"https://doi.org/10.18653/v1/2024.eacl-short.18","title":"Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method","display_name":"Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4411639646","doi":"https://doi.org/10.18653/v1/2024.eacl-short.18"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.eacl-short.18","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-short.18","pdf_url":"https://aclanthology.org/2024.eacl-short.18.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 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.eacl-short.18.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093917295","display_name":"Joshua Zingale","orcid":null},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Zingale","raw_affiliation_strings":["State University 5500 Campanile Drive San Diego CA 92182"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University 5500 Campanile Drive San Diego CA 92182","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049180880","display_name":"Jugal Kalita","orcid":"https://orcid.org/0000-0002-8765-7018"},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jugal Kalita","raw_affiliation_strings":["University of Colorado Colorado Springs 1420 Austin Bluffs Pkwy Colorado Springs CO 80918"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado Colorado Springs 1420 Austin Bluffs Pkwy Colorado Springs CO 80918","institution_ids":["https://openalex.org/I888729015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2612574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9275000095367432,"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":0.9275000095367432,"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":0.9136999845504761,"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":0.8331345319747925},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6878172159194946},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6373967528343201},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6067745089530945},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.5746297836303711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5428029298782349},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.47786444425582886},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.390542596578598},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3126095235347748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331345319747925},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6878172159194946},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6373967528343201},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6067745089530945},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.5746297836303711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5428029298782349},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.47786444425582886},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.390542596578598},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3126095235347748},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.eacl-short.18","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-short.18","pdf_url":"https://aclanthology.org/2024.eacl-short.18.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 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.eacl-short.18","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-short.18","pdf_url":"https://aclanthology.org/2024.eacl-short.18.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 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7069086835","display_name":"REU Site: Deep Learning: Theory, Concepts and Applications","funder_award_id":"2050919","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411639646.pdf","grobid_xml":"https://content.openalex.org/works/W4411639646.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2594084610","https://openalex.org/W2779608055","https://openalex.org/W1975975036","https://openalex.org/W600290691","https://openalex.org/W1990962480","https://openalex.org/W4386073139","https://openalex.org/W123503334","https://openalex.org/W4400470172","https://openalex.org/W4308202662","https://openalex.org/W2259409290"],"abstract_inverted_index":{"Controlled":[0],"text":[1,14],"generation":[2],"(CTG)":[3],"seeks":[4],"to":[5,12,17],"guide":[6],"large":[7],"language":[8],"model":[9,47],"(LLM)":[10],"output":[11],"produce":[13],"that":[15,27,44],"conforms":[16],"desired":[18],"criteria.The":[19],"current":[20],"study":[21],"presents":[22],"a":[23,40],"novel":[24],"CTG":[25],"algorithm":[26],"enforces":[28],"adherence":[29],"toward":[30],"specific":[31],"rhetorical":[32],"relations":[33],"in":[34],"an":[35],"LLM":[36],"sentencecompletion":[37],"context":[38],"by":[39],"parser-driven":[41],"decoding":[42],"scheme":[43],"requires":[45],"no":[46],"fine-tuning.The":[48],"method":[49],"is":[50,59],"validated":[51],"both":[52],"with":[53],"automatic":[54],"and":[55],"human":[56],"evaluation.The":[57],"code":[58],"accessible":[60],"on":[61],"GitHub.":[62],"1":[63]},"counts_by_year":[],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}