{"id":"https://openalex.org/W2251007032","doi":"https://doi.org/10.18653/v1/k15-1038","title":"Reading behavior predicts syntactic categories","display_name":"Reading behavior predicts syntactic categories","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251007032","doi":"https://doi.org/10.18653/v1/k15-1038","mag":"2251007032"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k15-1038","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1038","pdf_url":"https://aclanthology.org/K15-1038.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/K15-1038.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033050251","display_name":"Maria Barrett","orcid":"https://orcid.org/0000-0002-8857-8514"},"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":false,"raw_author_name":"Maria Barrett","raw_affiliation_strings":["University of Copenhagen Njalsgade 140 DK-2300 Copenhagen S"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen Njalsgade 140 DK-2300 Copenhagen S","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","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 Njalsgade 140 DK-2300 Copenhagen S"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen Njalsgade 140 DK-2300 Copenhagen S","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018138946"],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":7.562,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97233486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9965000152587891,"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":0.9965000152587891,"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/T13629","display_name":"Text Readability and Simplification","score":0.9965000152587891,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7708554863929749},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.7007120847702026},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6895955204963684},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6503191590309143},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6095114350318909},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5994988679885864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703678131103516},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5368891358375549},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5309274792671204},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4905766546726227},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4714549481868744},{"id":"https://openalex.org/keywords/syntactic-structure","display_name":"Syntactic structure","score":0.4463990330696106},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44329068064689636},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41379106044769287},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.05620172619819641}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708554863929749},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7007120847702026},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6895955204963684},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6503191590309143},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6095114350318909},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5994988679885864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703678131103516},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5368891358375549},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5309274792671204},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4905766546726227},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4714549481868744},{"id":"https://openalex.org/C2986991398","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntactic structure","level":3,"score":0.4463990330696106},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44329068064689636},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41379106044769287},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.05620172619819641},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/k15-1038","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1038","pdf_url":"https://aclanthology.org/K15-1038.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/364bc6f7-1905-45f3-a791-f2e37609970a","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/364bc6f7-1905-45f3-a791-f2e37609970a","pdf_url":"https://aclweb.org/anthology/K/K15/K15-1038.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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Barrett , M J & S\u00f8gaard , A 2015 , Reading behavior predicts syntactic categories . in The 19th Conference on Computational Natural Language Learning : CoNLL . Association for Computational Linguistics , pp. 345-349 . < https://aclweb.org/anthology/K/K15/K15-1038.pdf >","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/364bc6f7-1905-45f3-a791-f2e37609970a","is_oa":false,"landing_page_url":"https://curis.ku.dk/portal/da/publications/reading-behavior-predicts-syntactic-categories(364bc6f7-1905-45f3-a791-f2e37609970a).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/k15-1038","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1038","pdf_url":"https://aclanthology.org/K15-1038.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251007032.pdf","grobid_xml":"https://content.openalex.org/works/W2251007032.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W64928986","https://openalex.org/W371426616","https://openalex.org/W2008652694","https://openalex.org/W2013112874","https://openalex.org/W2043941682","https://openalex.org/W2053874005","https://openalex.org/W2062628439","https://openalex.org/W2088302723","https://openalex.org/W2101461018","https://openalex.org/W2143995218","https://openalex.org/W2157094299","https://openalex.org/W2158139315","https://openalex.org/W2161044106","https://openalex.org/W2251049744","https://openalex.org/W2607877444","https://openalex.org/W4236120890"],"related_works":["https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W1831633915","https://openalex.org/W4388345883","https://openalex.org/W2168778844","https://openalex.org/W3042846097","https://openalex.org/W188181908","https://openalex.org/W2003474616","https://openalex.org/W1972070131","https://openalex.org/W2078055658"],"abstract_inverted_index":{"It":[0],"is":[1,64],"well-known":[2],"that":[3,75],"readers":[4],"are":[5],"less":[6],"likely":[7],"to":[8,24,94,108],"fixate":[9],"their":[10],"gaze":[11,39,76],"on":[12],"closed":[13],"class":[14],"syntactic":[15,28,84],"categories":[16],"such":[17],"as":[18],"prepositions":[19],"and":[20,86],"pronouns.This":[21],"paper":[22],"investigates":[23],"what":[25],"extent":[26],"the":[27,111],"category":[29],"of":[30,53,83,99,113],"a":[31],"word":[32],"in":[33],"context":[34],"can":[35,46,56,91],"be":[36,47],"predicted":[37,49],"from":[38,50],"features":[40,77],"obtained":[41],"using":[42],"eye-tracking":[43],"equipment.If":[44],"syntax":[45],"reliably":[48],"eye":[51],"movements":[52],"readers,":[54],"it":[55],"speed":[57],"up":[58],"linguistic":[59,69],"annotation":[60,70],"substantially,":[61],"since":[62],"reading":[63],"considerably":[65],"faster":[66],"than":[67],"doing":[68],"by":[71],"hand.Our":[72],"results":[73],"show":[74,88],"do":[78],"discriminate":[79],"between":[80],"most":[81],"pairs":[82],"categories,":[85],"we":[87,90],"how":[89],"use":[92],"this":[93],"annotate":[95],"words":[96],"with":[97],"part":[98],"speech":[100],"across":[101],"domains,":[102],"when":[103],"tag":[104],"dictionaries":[105],"enable":[106],"us":[107],"narrow":[109],"down":[110],"set":[112],"potential":[114],"categories.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}