{"id":"https://openalex.org/W2517394272","doi":"https://doi.org/10.18653/v1/w16-2521","title":"Evaluating word embeddings with fMRI and eye-tracking","display_name":"Evaluating word embeddings with fMRI and eye-tracking","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2517394272","doi":"https://doi.org/10.18653/v1/w16-2521","mag":"2517394272"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-2521","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2521","pdf_url":"https://www.aclweb.org/anthology/W16-2521.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 1st Workshop on Evaluating Vector-Space\n          Representations for NLP","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W16-2521.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018138946","display_name":"Anders S\u00f8gaard","orcid":"https://orcid.org/0000-0001-5250-4276"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Anders S\u00f8gaard","raw_affiliation_strings":["University of Copenhagen"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018138946"],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":8.4248,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97616105,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.9916999936103821,"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/T13629","display_name":"Text Readability and Simplification","score":0.9835000038146973,"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/word","display_name":"Word (group theory)","score":0.8737151622772217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7557718753814697},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7064555287361145},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6503731608390808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6435828804969788},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5668504238128662},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4198700189590454},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41413599252700806},{"id":"https://openalex.org/keywords/word-processing","display_name":"Word processing","score":0.4106801152229309},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36863672733306885},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1722073256969452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13928747177124023},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10761070251464844}],"concepts":[{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.8737151622772217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7557718753814697},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7064555287361145},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6503731608390808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435828804969788},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5668504238128662},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4198700189590454},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41413599252700806},{"id":"https://openalex.org/C2983335612","wikidata":"https://www.wikidata.org/wiki/Q54277","display_name":"Word processing","level":2,"score":0.4106801152229309},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36863672733306885},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1722073256969452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13928747177124023},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10761070251464844},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/w16-2521","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2521","pdf_url":"https://www.aclweb.org/anthology/W16-2521.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 1st Workshop on Evaluating Vector-Space\n          Representations for NLP","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/ba2f1376-fb46-46be-940f-d102c0c1a46d","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/ba2f1376-fb46-46be-940f-d102c0c1a46d","pdf_url":"http://www.aclweb.org/anthology/W/W16/W16-2521.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"S\u00f8gaard , A 2016 , Evaluating word embeddings with fMRI and eye-tracking . in Proceedings of the 1st Workshop on Evaluating Vector Space Representations for NLP . Association for Computational Linguistics , pp. 116-121 , 1st Workshop on Evaluating Vector-Space Representations for NLP , Berlin , Germany , 07/08/2016 . < http://www.aclweb.org/anthology/W/W16/W16-2521.pdf >","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/ba2f1376-fb46-46be-940f-d102c0c1a46d","is_oa":false,"landing_page_url":"https://curis.ku.dk/portal/da/publications/evaluating-word-embeddings-with-fmri-and-eyetracking(ba2f1376-fb46-46be-940f-d102c0c1a46d).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/w16-2521","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2521","pdf_url":"https://www.aclweb.org/anthology/W16-2521.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 1st Workshop on Evaluating Vector-Space\n          Representations for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2517394272.pdf","grobid_xml":"https://content.openalex.org/works/W2517394272.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1615991656","https://openalex.org/W1992570774","https://openalex.org/W2017668967","https://openalex.org/W2075322664","https://openalex.org/W2080902366","https://openalex.org/W2099938389","https://openalex.org/W2130199334","https://openalex.org/W2158899491","https://openalex.org/W2250770534","https://openalex.org/W2251007032","https://openalex.org/W2251066368","https://openalex.org/W2251804196","https://openalex.org/W2502814102","https://openalex.org/W2511680308","https://openalex.org/W2515910099","https://openalex.org/W2952230511","https://openalex.org/W2963419157","https://openalex.org/W4238907713","https://openalex.org/W4251395411"],"related_works":["https://openalex.org/W254547640","https://openalex.org/W2133478886","https://openalex.org/W1970933446","https://openalex.org/W1964658544","https://openalex.org/W2737370579","https://openalex.org/W2111662565","https://openalex.org/W1038246009","https://openalex.org/W3135609367","https://openalex.org/W3034416867","https://openalex.org/W2530017491"],"abstract_inverted_index":{"The":[0],"workshop":[1],"CfP":[2],"assumes":[3],"that":[4,13,29],"downstream":[5],"evaluation":[6,16,35,49],"of":[7,20,41],"word":[8,21,43,60],"embeddings":[9,22,61],"is":[10,37,50],"impractical,":[11],"and":[12],"a":[14,55,65],"valid":[15],"metric":[17],"for":[18],"pairs":[19],"can":[23],"be":[24],"found.":[25],"I":[26,53],"argue":[27],"below":[28],"if":[30],"so,":[31],"the":[32,46],"only":[33],"meaningful":[34],"procedure":[36,57],"comparison":[38],"with":[39],"measures":[40],"human":[42],"processing":[44],"in":[45,64],"wild.":[47],"Such":[48],"non-trivial,":[51],"but":[52],"present":[54],"practical":[56],"here,":[58],"evaluating":[59],"as":[62],"features":[63],"multi-dimensional":[66],"regression":[67],"model":[68],"predicting":[69],"brain":[70],"imaging":[71],"or":[72],"eyetracking":[73],"word-level":[74],"aggregate":[75],"statistics.":[76]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
