{"id":"https://openalex.org/W4254795051","doi":"https://doi.org/10.18653/v1/d16-1043","title":"Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics","display_name":"Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W4254795051","doi":"https://doi.org/10.18653/v1/d16-1043"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1043","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1043","pdf_url":"https://www.aclweb.org/anthology/D16-1043.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\n          Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1043.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016956470","display_name":"Douwe Kiela","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":true,"raw_author_name":"Douwe Kiela","raw_affiliation_strings":["Computer Laboratory University of Cambridge"],"affiliations":[{"raw_affiliation_string":"Computer Laboratory University of Cambridge","institution_ids":["https://openalex.org/I4210096386","https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016724759","display_name":"Anita Lilla Ver\u0151","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":false,"raw_author_name":"Anita Lilla Ver\u0151","raw_affiliation_strings":["Computer Laboratory University of Cambridge"],"affiliations":[{"raw_affiliation_string":"Computer Laboratory University of Cambridge","institution_ids":["https://openalex.org/I4210096386","https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000882812","display_name":"Stephen R. L. Clark","orcid":"https://orcid.org/0000-0002-2072-7499"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":false,"raw_author_name":"Stephen Clark","raw_affiliation_strings":["Computer Laboratory University of Cambridge"],"affiliations":[{"raw_affiliation_string":"Computer Laboratory University of Cambridge","institution_ids":["https://openalex.org/I4210096386","https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016956470"],"corresponding_institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210096386"],"apc_list":null,"apc_paid":null,"fwci":1.169,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86119456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"447","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.815680980682373},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.8037295341491699},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7144742012023926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7142530679702759},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6835072040557861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6616372466087341},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5897484421730042},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5397641658782959},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42265522480010986},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41533416509628296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40753233432769775},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3796669840812683},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08540862798690796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815680980682373},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.8037295341491699},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7144742012023926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7142530679702759},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6835072040557861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6616372466087341},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5897484421730042},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5397641658782959},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42265522480010986},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41533416509628296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40753233432769775},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3796669840812683},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08540862798690796},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1043","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1043","pdf_url":"https://www.aclweb.org/anthology/D16-1043.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\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1043","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1043","pdf_url":"https://www.aclweb.org/anthology/D16-1043.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\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319634","display_name":"Nuance Foundation","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4254795051.pdf","grobid_xml":"https://content.openalex.org/works/W4254795051.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W149643677","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1719717946","https://openalex.org/W1854884267","https://openalex.org/W1904365287","https://openalex.org/W1958547877","https://openalex.org/W1978400666","https://openalex.org/W2097117768","https://openalex.org/W2112184938","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2131846894","https://openalex.org/W2137735870","https://openalex.org/W2141282920","https://openalex.org/W2145056192","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2172191903","https://openalex.org/W2250196260","https://openalex.org/W2250742840","https://openalex.org/W2250976127","https://openalex.org/W2251109971","https://openalex.org/W2251117789","https://openalex.org/W2284646714","https://openalex.org/W2296600977","https://openalex.org/W2460728252","https://openalex.org/W2470413457","https://openalex.org/W2511496043","https://openalex.org/W2963272534","https://openalex.org/W2963871344","https://openalex.org/W3110909889","https://openalex.org/W4239072543","https://openalex.org/W4244373129","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W4390871823"],"abstract_inverted_index":{"Multi-modal":[0],"distributional":[1],"models":[2],"learn":[3],"grounded":[4],"representations":[5],"for":[6],"improved":[7],"performance":[8],"in":[9],"semantics.":[10]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
