{"id":"https://openalex.org/W2563767109","doi":"https://doi.org/10.18653/v1/d16-1213","title":"BrainBench: A Brain-Image Test Suite for Distributional Semantic Models","display_name":"BrainBench: A Brain-Image Test Suite for Distributional Semantic Models","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2563767109","doi":"https://doi.org/10.18653/v1/d16-1213","mag":"2563767109"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1213","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1213","pdf_url":"https://www.aclweb.org/anthology/D16-1213.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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1213.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110133782","display_name":"Haoyan Xu","orcid":"https://orcid.org/0009-0005-3103-8639"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Haoyan Xu","raw_affiliation_strings":["University of Victoria Victoria, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Victoria Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029850297","display_name":"Brian Murphy","orcid":"https://orcid.org/0000-0001-7784-3434"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Brian Murphy","raw_affiliation_strings":["Queen's University Belfast Belfast, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen's University Belfast Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085831385","display_name":"Alona Fyshe","orcid":"https://orcid.org/0000-0003-4367-0306"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alona Fyshe","raw_affiliation_strings":["University of Victoria Victoria, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Victoria Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2991,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9456078,"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":"2017","last_page":"2021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9972000122070312,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9914000034332275,"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":0.7377113699913025},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.7220174074172974},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.6786300539970398},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.574633002281189},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48146334290504456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4680720567703247},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3560978174209595},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3212541341781616},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.22786876559257507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16338926553726196},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1278247833251953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377113699913025},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.7220174074172974},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.6786300539970398},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.574633002281189},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48146334290504456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4680720567703247},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3560978174209595},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3212541341781616},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.22786876559257507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16338926553726196},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1278247833251953},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d16-1213","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1213","pdf_url":"https://www.aclweb.org/anthology/D16-1213.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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:openaire/175fa9a8-fc95-421b-9f08-872f5ef9453a","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/175fa9a8-fc95-421b-9f08-872f5ef9453a","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"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":"Xu, H, Murphy, B & Fyshe, A 2016, BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. in 2016 Conference on Empirical Methods on Natural Language: Proceedings. pp. 2017-2021, Conference on Empirical Methods in Natural Language Processing, Austin, United States, 02/11/2016.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1213","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1213","pdf_url":"https://www.aclweb.org/anthology/D16-1213.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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2563767109.pdf","grobid_xml":"https://content.openalex.org/works/W2563767109.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W342285082","https://openalex.org/W1614298861","https://openalex.org/W1854884267","https://openalex.org/W1878625794","https://openalex.org/W1912717992","https://openalex.org/W1980592753","https://openalex.org/W2038721957","https://openalex.org/W2053921957","https://openalex.org/W2112184938","https://openalex.org/W2115792525","https://openalex.org/W2130199334","https://openalex.org/W2160654481","https://openalex.org/W2164019165","https://openalex.org/W2168217710","https://openalex.org/W2170682101","https://openalex.org/W2250539671","https://openalex.org/W2251517092","https://openalex.org/W2474824677","https://openalex.org/W2951746425"],"related_works":["https://openalex.org/W4231704780","https://openalex.org/W1511772879","https://openalex.org/W352609212","https://openalex.org/W2083794993","https://openalex.org/W4200340037","https://openalex.org/W4379115841","https://openalex.org/W608917066","https://openalex.org/W4283652261","https://openalex.org/W1485837041","https://openalex.org/W3204955359"],"abstract_inverted_index":{"The":[0],"brain":[1,11],"is":[2],"the":[3,36,44,51],"locus":[4],"of":[5,31,38,63],"our":[6,58],"language":[7],"ability,":[8],"and":[9,41],"so":[10],"images":[12],"can":[13],"be":[14],"used":[15],"to":[16],"ground":[17],"linguistic":[18],"theories.":[19],"Here":[20],"we":[21],"introduce":[22],"Brain-Bench,":[23],"a":[24,64],"lightweight":[25],"system":[26],"for":[27],"testing":[28],"distributional":[29],"models":[30],"word":[32],"semantics.":[33],"We":[34,56],"compare":[35],"performance":[37,45,52],"several":[39],"models,":[40],"show":[42],"that":[43],"on":[46,53],"brain-image":[47],"tasks":[48],"differs":[49],"from":[50],"behavioral":[54],"tasks.":[55],"release":[57],"benchmark":[59],"test":[60],"as":[61],"part":[62],"web":[65],"service.":[66]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
