{"id":"https://openalex.org/W2970488023","doi":"https://doi.org/10.18653/v1/d19-1064","title":"Incorporating Visual Semantics into Sentence Representations within a Grounded Space","display_name":"Incorporating Visual Semantics into Sentence Representations within a Grounded Space","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970488023","doi":"https://doi.org/10.18653/v1/d19-1064","mag":"2970488023"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1064","pdf_url":"https://www.aclweb.org/anthology/D19-1064.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1064.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041061462","display_name":"Patrick Bordes","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Bordes","raw_affiliation_strings":["Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","MLIA - Machine Learning and Information Access (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I51101395","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"MLIA - Machine Learning and Information Access (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017841821","display_name":"\u00c9loi Zablocki","orcid":"https://orcid.org/0000-0003-2757-2036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eloi Zablocki","raw_affiliation_strings":["MLIA - Machine Learning and Information Access (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MLIA - Machine Learning and Information Access (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000942708","display_name":"Laure Soulier","orcid":"https://orcid.org/0000-0001-9827-7400"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laure Soulier","raw_affiliation_strings":["Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","MLIA - Machine Learning and Information Access (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I51101395","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"MLIA - Machine Learning and Information Access (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086752907","display_name":"Benjamin Piwowarski","orcid":"https://orcid.org/0000-0001-6792-3262"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benjamin Piwowarski","raw_affiliation_strings":["Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","BD - Bases de Donn\u00e9es (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I51101395","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"BD - Bases de Donn\u00e9es (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113667126","display_name":"Patrick Gallinari","orcid":"https://orcid.org/0000-0003-3360-8269"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Gallinari","raw_affiliation_strings":["Criteo AI Lab, Paris, France","Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","MLIA - Machine Learning and Information Access (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Criteo AI Lab, Paris, France","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"Sorbonne Universit, CNRS, LIP6, F-75005 Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I51101395","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"MLIA - Machine Learning and Information Access (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8799,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89495004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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":0.9976000189781189,"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":0.996999979019165,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546542882919312},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5876893997192383},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5683571100234985},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5318118333816528},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4892887771129608},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.465844988822937},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44172829389572144},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.43952158093452454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4359130263328552},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2453213632106781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546542882919312},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5876893997192383},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5683571100234985},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5318118333816528},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4892887771129608},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.465844988822937},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44172829389572144},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.43952158093452454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359130263328552},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2453213632106781},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d19-1064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1064","pdf_url":"https://www.aclweb.org/anthology/D19-1064.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02351003v1","is_oa":true,"landing_page_url":"https://hal.sorbonne-universite.fr/hal-02351003","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Nov 2019, Hong Kong, China. pp.696-707, &#x27E8;10.18653/v1/D19-1064&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1064","pdf_url":"https://www.aclweb.org/anthology/D19-1064.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1834824750","display_name":null,"funder_award_id":"ANR-11-LABX-65","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4009746975","display_name":null,"funder_award_id":"ANR-11-IDEX-0004-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4866930200","display_name":null,"funder_award_id":"ANR-11-IDEX","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5003875507","display_name":null,"funder_award_id":"-11-IDEX-0004-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5615659713","display_name":null,"funder_award_id":"IDEX-0004-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6103890907","display_name":"MUltimodal processing of Spatial and TEmporal expRessions","funder_award_id":"ANR-15-CHR2-0005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6182026652","display_name":null,"funder_award_id":"11-IDEX-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6246589203","display_name":null,"funder_award_id":"11-IDEX-0004-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6654833908","display_name":null,"funder_award_id":"ANR-11-IDEX-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970488023.pdf","grobid_xml":"https://content.openalex.org/works/W2970488023.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1486649854","https://openalex.org/W1486723856","https://openalex.org/W1522301498","https://openalex.org/W1604489931","https://openalex.org/W1773149199","https://openalex.org/W1840435438","https://openalex.org/W1861492603","https://openalex.org/W1905882502","https://openalex.org/W1924121366","https://openalex.org/W1974991592","https://openalex.org/W1980776243","https://openalex.org/W2014902591","https://openalex.org/W2035726644","https://openalex.org/W2050482109","https://openalex.org/W2073132088","https://openalex.org/W2112184938","https://openalex.org/W2114044559","https://openalex.org/W2114524997","https://openalex.org/W2120526973","https://openalex.org/W2120615054","https://openalex.org/W2133564696","https://openalex.org/W2143623448","https://openalex.org/W2150375089","https://openalex.org/W2153579005","https://openalex.org/W2160660844","https://openalex.org/W2163455955","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2250646737","https://openalex.org/W2250742840","https://openalex.org/W2250790822","https://openalex.org/W2251869843","https://openalex.org/W2251939518","https://openalex.org/W2286410738","https://openalex.org/W2291822808","https://openalex.org/W2320129592","https://openalex.org/W2462848072","https://openalex.org/W2474574787","https://openalex.org/W2568389463","https://openalex.org/W2597655663","https://openalex.org/W2786464815","https://openalex.org/W2790235966","https://openalex.org/W2882319491","https://openalex.org/W2891177506","https://openalex.org/W2949380545","https://openalex.org/W2952186591","https://openalex.org/W2962739339","https://openalex.org/W2963042258","https://openalex.org/W2963055199","https://openalex.org/W2963158451","https://openalex.org/W2963264012","https://openalex.org/W2963389687","https://openalex.org/W2963644595","https://openalex.org/W2963676207","https://openalex.org/W2963733234","https://openalex.org/W2963740900","https://openalex.org/W2963804993","https://openalex.org/W2963871344","https://openalex.org/W2963918774","https://openalex.org/W2963991017","https://openalex.org/W2964121744","https://openalex.org/W2964165804","https://openalex.org/W3104033643","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2392760275","https://openalex.org/W2083530853","https://openalex.org/W2982905616","https://openalex.org/W2748574964","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Patrick":[0,8],"Bordes,":[1],"Eloi":[2],"Zablocki,":[3],"Laure":[4],"Soulier,":[5],"Benjamin":[6],"Piwowarski,":[7],"Gallinari.":[9],"Proceedings":[10],"of":[11],"the":[12,23],"2019":[13],"Conference":[14,27],"on":[15,28],"Empirical":[16],"Methods":[17],"in":[18],"Natural":[19,29],"Language":[20,30],"Processing":[21,31],"and":[22],"9th":[24],"International":[25],"Joint":[26],"(EMNLP-IJCNLP).":[32],"2019.":[33]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
