{"id":"https://openalex.org/W7126400224","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.153","title":"Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers","display_name":"Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126400224","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.153"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.153","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.153","pdf_url":"https://aclanthology.org/2024.findings-eacl.153.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.153.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034564787","display_name":"Rodrigo Wilkens","orcid":"https://orcid.org/0000-0003-4366-1215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodrigo Wilkens","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055605276","display_name":"Patrick Watrin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrick Watrin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025603922","display_name":"R\u00e9mi Cardon","orcid":"https://orcid.org/0000-0002-7858-3504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R\u00e9mi Cardon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058091852","display_name":"Alice Pintard","orcid":"https://orcid.org/0009-0003-3207-8849"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alice Pintard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124465073","display_name":"Isabelle Gribomont","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Isabelle Gribomont","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124556750","display_name":"Thomas Fran\u00e7ois","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Fran\u00e7ois","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6037,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76616271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2316","last_page":"2331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.788100004196167,"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/T13629","display_name":"Text Readability and Simplification","score":0.788100004196167,"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":0.05999999865889549,"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/T10759","display_name":"Translation Studies and Practices","score":0.0421999990940094,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.6085000038146973},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.521399974822998},{"id":"https://openalex.org/keywords/deep-linguistic-processing","display_name":"Deep linguistic processing","score":0.3440000116825104},{"id":"https://openalex.org/keywords/complementarity-theory","display_name":"Complementarity theory","score":0.2847000062465668},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.2745000123977661}],"concepts":[{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.6085000038146973},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.521399974822998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5148000121116638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4668000042438507},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.376800000667572},{"id":"https://openalex.org/C64249296","wikidata":"https://www.wikidata.org/wiki/Q5250411","display_name":"Deep linguistic processing","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3425000011920929},{"id":"https://openalex.org/C85404239","wikidata":"https://www.wikidata.org/wiki/Q5156417","display_name":"Complementarity theory","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.153","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.153","pdf_url":"https://aclanthology.org/2024.findings-eacl.153.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.153","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.153","pdf_url":"https://aclanthology.org/2024.findings-eacl.153.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44544774293899536,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126400224.pdf","grobid_xml":"https://content.openalex.org/works/W7126400224.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Linguistic":[0],"features":[1],"have":[2,17],"a":[3,55,146],"strong":[4],"contribution":[5],"in":[6,31,50,124,131],"the":[7,10,21,24,29,32,35,46,96,112,141],"context":[8],"of":[9,13,20,58,133,140,149],"automatic":[11],"assessment":[12],"text":[14],"readability":[15],"(ARA).They":[16],"been":[18],"one":[19],"anchors":[22],"between":[23],"computational":[25],"and":[26,67,75,89,102,106,119,136],"theoretical":[27],"models.With":[28],"development":[30],"ARA":[33],"field,":[34],"research":[36],"moved":[37],"to":[38,44,94,114,121,145],"Deep":[39],"Learning":[40,66],"(DL).In":[41],"an":[42],"attempt":[43],"reconcile":[45],"mixed":[47],"results":[48],"reported":[49],"this":[51],"context,":[52],"we":[53],"present":[54],"systematic":[56],"comparison":[57],"6":[59],"hybrid":[60],"approaches":[61,120],"along":[62],"with":[63],"standard":[64],"Machine":[65],"DL":[68],"approaches,":[69],"on":[70,99],"4":[71],"corpora":[72],"(different":[73],"languages":[74,135],"target":[76,138],"audiences).The":[77],"various":[78,104],"experiments":[79],"clearly":[80],"highlighted":[81],"two":[82,134,137],"rather":[83],"simple":[84,90],"hybridization":[85,123],"methods":[86],"(soft":[87],"label":[88],"concatenation).They":[91],"also":[92],"appear":[93],"be":[95],"most":[97],"robust":[98],"smaller":[100],"datasets":[101],"across":[103],"tasks":[105],"languages.This":[107],"study":[108],"stands":[109],"out":[110],"as":[111,126,128],"first":[113],"systematically":[115],"compare":[116],"different":[117],"architectures":[118],"feature":[122],"DL,":[125],"well":[127],"comparing":[129],"performance":[130],"terms":[132],"audiences":[139],"text,":[142],"which":[143],"leads":[144],"clearer":[147],"pattern":[148],"results.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2026-02-02T00:00:00"}