{"id":"https://openalex.org/W4285135037","doi":"https://doi.org/10.18653/v1/2022.acl-long.156","title":"Decoding Part-of-Speech from Human EEG Signals","display_name":"Decoding Part-of-Speech from Human EEG Signals","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285135037","doi":"https://doi.org/10.18653/v1/2022.acl-long.156"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2022.acl-long.156","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.acl-long.156","pdf_url":"https://aclanthology.org/2022.acl-long.156.pdf","source":{"id":"https://openalex.org/S4363608652","display_name":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","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":"conference"},"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 60th 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":"hybrid","oa_url":"https://aclanthology.org/2022.acl-long.156.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049543062","display_name":"Alex Murphy","orcid":"https://orcid.org/0000-0001-6155-0514"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Alex Murphy","raw_affiliation_strings":["University of Birmingham, UK,"],"affiliations":[{"raw_affiliation_string":"University of Birmingham, UK,","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066427994","display_name":"Bernd Bohnet","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bernd Bohnet","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022489655","display_name":"Ryan McDonald","orcid":null},"institutions":[{"id":"https://openalex.org/I1283576576","display_name":"NetApp (United States)","ror":"https://ror.org/05c4cm338","country_code":"US","type":"company","lineage":["https://openalex.org/I1283576576"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan McDonald","raw_affiliation_strings":["ASAPP,"],"affiliations":[{"raw_affiliation_string":"ASAPP,","institution_ids":["https://openalex.org/I1283576576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049539014","display_name":"Uta Noppeney","orcid":"https://orcid.org/0000-0002-7697-2290"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uta Noppeney","raw_affiliation_strings":["Donders Institute for Brain, Cognition and Behaviour"],"affiliations":[{"raw_affiliation_string":"Donders Institute for Brain, Cognition and Behaviour","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049543062"],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":3.2083,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94542254,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2201","last_page":"2210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.9973000288009644,"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/decoding-methods","display_name":"Decoding methods","score":0.7958890199661255},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7711741924285889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7618372440338135},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7381470203399658},{"id":"https://openalex.org/keywords/bigram","display_name":"Bigram","score":0.652336835861206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615895986557007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45558178424835205},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4165208339691162},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08989772200584412},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08297425508499146},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07423675060272217}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7958890199661255},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7711741924285889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618372440338135},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7381470203399658},{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.652336835861206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615895986557007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45558178424835205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4165208339691162},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08989772200584412},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08297425508499146},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07423675060272217},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2022.acl-long.156","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.acl-long.156","pdf_url":"https://aclanthology.org/2022.acl-long.156.pdf","source":{"id":"https://openalex.org/S4363608652","display_name":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","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":"conference"},"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 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/288113","is_oa":false,"landing_page_url":"https://repository.ubn.ru.nl/handle/2066/288113","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in monograph or in proceedings"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/288113","is_oa":false,"landing_page_url":"http://hdl.handle.net/2066/288113","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2201 - 2210. Dublin : Association for Computational Linguistics","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.18653/v1/2022.acl-long.156","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.acl-long.156","pdf_url":"https://aclanthology.org/2022.acl-long.156.pdf","source":{"id":"https://openalex.org/S4363608652","display_name":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","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":"conference"},"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 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285135037.pdf","grobid_xml":"https://content.openalex.org/works/W4285135037.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1626219294","https://openalex.org/W1964817481","https://openalex.org/W1977418815","https://openalex.org/W1987990208","https://openalex.org/W2031186925","https://openalex.org/W2049660107","https://openalex.org/W2079038792","https://openalex.org/W2088572966","https://openalex.org/W2091825929","https://openalex.org/W2096982225","https://openalex.org/W2101234009","https://openalex.org/W2102725920","https://openalex.org/W2128134362","https://openalex.org/W2137372817","https://openalex.org/W2158485497","https://openalex.org/W2159791946","https://openalex.org/W2169918686","https://openalex.org/W2195712377","https://openalex.org/W2272351350","https://openalex.org/W2474697413","https://openalex.org/W2511680308","https://openalex.org/W2512721747","https://openalex.org/W2527550114","https://openalex.org/W2793079288","https://openalex.org/W2913606428","https://openalex.org/W2936616450","https://openalex.org/W2963355311","https://openalex.org/W2967757629","https://openalex.org/W3030354039","https://openalex.org/W3038027488","https://openalex.org/W3099215642","https://openalex.org/W3120421331","https://openalex.org/W4248681561","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3020951519","https://openalex.org/W3173084154","https://openalex.org/W2334448532","https://openalex.org/W2982021180","https://openalex.org/W2111465144","https://openalex.org/W2185649612","https://openalex.org/W1006721676","https://openalex.org/W2156230116","https://openalex.org/W2124470186","https://openalex.org/W2269447762"],"abstract_inverted_index":{"This":[0],"work":[1],"explores":[2],"techniques":[3,54,71],"to":[4],"predict":[5],"Part-of-Speech":[6],"(PoS)":[7],"tags":[8],"from":[9],"neural":[10],"signals":[11],"measured":[12],"at":[13,38],"millisecond":[14],"resolution":[15],"with":[16],"electroencephalography":[17],"(EEG)":[18],"during":[19],"text":[20],"reading.":[21],"We":[22,42],"show":[23,73],"that":[24,45,74],"information":[25,90],"about":[26],"word":[27,31],"length,":[28],"frequency":[29],"and":[30,51,84],"class":[32],"is":[33],"encoded":[34],"by":[35],"the":[36],"brain":[37],"different":[39],"poststimulus":[40],"latencies.":[41],"then":[43],"demonstrate":[44],"pretraining":[46],"on":[47,79],"averaged":[48],"EEG":[49,58],"data":[50,52,86],"augmentation":[53],"boost":[55],"PoS":[56,80],"single-trial":[57],"decoding":[59,70],"accuracy":[60],"for":[61],"Transformers":[62,75],"(but":[63],"not":[64],"linear":[65,77],"SVMs).":[66],"Applying":[67],"optimised":[68],"temporally-resolved":[69],"we":[72],"outperform":[76],"SVMs":[78],"tagging":[81],"of":[82],"unigram":[83],"bigram":[85],"more":[87],"strongly":[88],"when":[89],"requires":[91],"integration":[92],"across":[93],"longer":[94],"time":[95],"windows.":[96]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}