{"id":"https://openalex.org/W4402671903","doi":"https://doi.org/10.18653/v1/2024.acl-long.462","title":"Speech language models lack important brain-relevant semantics","display_name":"Speech language models lack important brain-relevant semantics","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402671903","doi":"https://doi.org/10.18653/v1/2024.acl-long.462"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.acl-long.462","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.462","pdf_url":"https://aclanthology.org/2024.acl-long.462.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.acl-long.462.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029606497","display_name":"Subba Reddy Oota","orcid":"https://orcid.org/0000-0002-5975-622X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subba Reddy Oota","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033012743","display_name":"Emin \u00c7elik","orcid":"https://orcid.org/0000-0002-5229-7454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emin \u00c7elik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037727137","display_name":"Fatma Deniz","orcid":"https://orcid.org/0000-0001-6051-7288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatma Deniz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072973927","display_name":"Mariya Toneva","orcid":"https://orcid.org/0000-0002-2407-9871"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mariya Toneva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9078,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73682837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8503","last_page":"8528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.7850000262260437,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.7850000262260437,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.765781044960022},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.616159975528717},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5131803154945374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3771568536758423},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.24421337246894836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765781044960022},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.616159975528717},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5131803154945374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3771568536758423},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.24421337246894836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.acl-long.462","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.462","pdf_url":"https://aclanthology.org/2024.acl-long.462.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.acl-long.462","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.462","pdf_url":"https://aclanthology.org/2024.acl-long.462.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402671903.pdf","grobid_xml":"https://content.openalex.org/works/W4402671903.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Despite":[0],"known":[1],"differences":[2],"between":[3],"reading":[4,79],"and":[5,21,62,80],"listening":[6],"in":[7,41,51,103,113,123,136,165],"the":[8,30,42],"brain,":[9],"recent":[10],"work":[11],"has":[12],"shown":[13],"that":[14,142],"text-based":[15,98],"language":[16,37,65,86,115,138,167],"models":[17,38,87,99,119,144],"predict":[18,40],"both":[19],"text-evoked":[20],"speech-evoked":[22],"brain":[23,76,96],"activity":[24],"to":[25,68,162],"an":[26],"impressive":[27],"degree.This":[28],"poses":[29],"question":[31,46],"of":[32,35,92],"what":[33],"types":[34],"information":[36,149],"truly":[39],"brain.We":[43],"investigate":[44],"this":[45],"via":[47],"a":[48],"direct":[49],"approach,":[50],"which":[52],"we":[53],"systematically":[54],"remove":[55],"specific":[56],"lowlevel":[57],"stimulus":[58],"features":[59,94],"(textual,":[60],"speech,":[61],"visual)":[63],"from":[64],"model":[66,163],"representations":[67],"assess":[69],"their":[70],"impact":[71],"on":[72,95],"alignment":[73,102,122],"with":[74,84],"fMRI":[75],"recordings":[77],"during":[78],"listening.Comparing":[81],"these":[82],"findings":[83],"speech-based":[85,118,143],"reveals":[88],"starkly":[89],"different":[90],"effects":[91],"low-level":[93],"alignment.While":[97],"show":[100],"reduced":[101],"early":[104,124,152],"sensory":[105],"regions":[106,126],"post-removal,":[107],"they":[108],"retain":[109],"significant":[110],"predictive":[111,134],"power":[112,135],"late":[114,137,166],"regions.In":[116],"contrast,":[117],"maintain":[120],"strong":[121],"auditory":[125,153],"even":[127],"after":[128],"feature":[129],"removal":[130],"but":[131,155],"lose":[132],"all":[133],"regions.These":[139],"results":[140],"suggest":[141],"provide":[145],"insights":[146],"into":[147],"additional":[148],"processed":[150],"by":[151],"regions,":[154],"caution":[156],"is":[157],"needed":[158],"when":[159],"using":[160],"them":[161],"processing":[164],"regions.We":[168],"make":[169],"our":[170],"code":[171],"publicly":[172],"available.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
