{"id":"https://openalex.org/W2964276007","doi":"https://doi.org/10.18653/v1/w19-0424","title":"Natural Language Semantics With Pictures: Some Language &amp; Vision Datasets and Potential Uses for Computational Semantics","display_name":"Natural Language Semantics With Pictures: Some Language &amp; Vision Datasets and Potential Uses for Computational Semantics","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964276007","doi":"https://doi.org/10.18653/v1/w19-0424","mag":"2964276007"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-0424","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-0424","pdf_url":"https://www.aclweb.org/anthology/W19-0424.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 13th International Conference on Computational Semantics - Long Papers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-0424.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032801642","display_name":"David Schlangen","orcid":"https://orcid.org/0000-0002-2686-6887"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"David Schlangen","raw_affiliation_strings":["Department of Linguistics, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics, University of Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032801642"],"corresponding_institution_ids":["https://openalex.org/I176453806"],"apc_list":null,"apc_paid":null,"fwci":0.3065,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60343333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"294"},"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/T10028","display_name":"Topic Modeling","score":0.9900000095367432,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9853000044822693,"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":0.8152803182601929},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.720491349697113},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7158905267715454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6603578329086304},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6160199642181396},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"Distributional semantics","score":0.6151474714279175},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6052826046943665},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5848052501678467},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5107043385505676},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5045050382614136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5010430812835693},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.49457237124443054},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4612061381340027},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4331146776676178},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.3771572709083557},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11009842157363892},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07192602753639221}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152803182601929},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.720491349697113},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7158905267715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603578329086304},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6160199642181396},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.6151474714279175},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6052826046943665},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5848052501678467},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5107043385505676},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5045050382614136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5010430812835693},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.49457237124443054},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4612061381340027},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4331146776676178},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3771572709083557},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11009842157363892},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07192602753639221},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/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/w19-0424","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-0424","pdf_url":"https://www.aclweb.org/anthology/W19-0424.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 13th International Conference on Computational Semantics - Long Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.uni-bielefeld.de:2935855","is_oa":true,"landing_page_url":"https://pub.uni-bielefeld.de/record/2935855","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"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":"Schlangen D. Natural Language Semantics With Pictures: Some Language &amp;amp; Vision Datasets and Potential Uses for Computational Semantics. In: Dobnik S, Chatzikyriakidis S, Demberg V, eds. &lt;em&gt;Proceedings of the 13th International Conference on Computational Semantics - Long Papers&lt;/em&gt;. Gothenburg, Sweden: Association for Computational Linguistics;  2019: 283-294.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-0424","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-0424","pdf_url":"https://www.aclweb.org/anthology/W19-0424.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 13th International Conference on Computational Semantics - Long Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1927681210","display_name":null,"funder_award_id":"(EXC 277)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3429453619","display_name":null,"funder_award_id":"EXC 277","funder_id":"https://openalex.org/F4320323389","funder_display_name":"Universit\u00e4t Bielefeld"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6269176539","display_name":null,"funder_award_id":"EXC 277","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8036144639","display_name":null,"funder_award_id":"CITEC","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320323389","display_name":"Universit\u00e4t Bielefeld","ror":"https://ror.org/02hpadn98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964276007.pdf","grobid_xml":"https://content.openalex.org/works/W2964276007.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W57784613","https://openalex.org/W1597739853","https://openalex.org/W1686810756","https://openalex.org/W1773149199","https://openalex.org/W1840435438","https://openalex.org/W1861492603","https://openalex.org/W2038721957","https://openalex.org/W2076784334","https://openalex.org/W2117539524","https://openalex.org/W2130158090","https://openalex.org/W2144960104","https://openalex.org/W2185175083","https://openalex.org/W2251512949","https://openalex.org/W2271548840","https://openalex.org/W2277195237","https://openalex.org/W2326588846","https://openalex.org/W2489434015","https://openalex.org/W2512740601","https://openalex.org/W2549599535","https://openalex.org/W2594470997","https://openalex.org/W2607856979","https://openalex.org/W2625800120","https://openalex.org/W2788810331","https://openalex.org/W2794557536","https://openalex.org/W2796347433","https://openalex.org/W2891802882","https://openalex.org/W2896457183","https://openalex.org/W2949474740","https://openalex.org/W2962700105","https://openalex.org/W2962835968","https://openalex.org/W2963109634","https://openalex.org/W2963150697","https://openalex.org/W2964195418","https://openalex.org/W3022195534","https://openalex.org/W4293584584","https://openalex.org/W6639102338","https://openalex.org/W6723035356","https://openalex.org/W6735463952","https://openalex.org/W6739398559","https://openalex.org/W6749879876","https://openalex.org/W6758433425","https://openalex.org/W7016219665","https://openalex.org/W7020886168"],"related_works":["https://openalex.org/W2963364736","https://openalex.org/W2808113865","https://openalex.org/W2112408611","https://openalex.org/W1840682977","https://openalex.org/W4299488910","https://openalex.org/W4386468556","https://openalex.org/W59191841","https://openalex.org/W4366284213","https://openalex.org/W2502814102","https://openalex.org/W4235405867"],"abstract_inverted_index":{"Propelling,":[0],"and":[1,64,94,96,106,136,139,143,234,308],"propelled":[2],"by,":[3],"the":[4,12,36,44,50,62,87,90,103,147,165,168,231,287,290,302],"\"deep":[5],"learning":[6],"revolution\",":[7],"recent":[8],"years":[9],"have":[10],"seen":[11],"introduction":[13],"of":[14,18,28,49,66,83,167,177,180,245,260,265,283],"ever":[15],"larger":[16],"corpora":[17,88,314],"images":[19,45],"annotated":[20],"with":[21],"natural":[22,51],"language":[23,52],"expressions.":[24,53],"We":[25,54],"survey":[26],"some":[27,198],"these":[29],"corpora,":[30,63],"taking":[31],"a":[32,154,192,242,249,252,257,266],"perspective":[33],"that":[34,57,72,97,108,122,130,146,158,185],"reverses":[35],"usual":[37],"directionality,":[38],"as":[39,46,171,174,304,316],"it":[40],"were,":[41],"by":[42,86],"viewing":[43],"semantic":[47,155],"annotation":[48],"discuss":[55],"datasets":[56],"can":[58,73,110,127,131,278,310],"be":[59,74,132],"derived":[60,199],"from":[61],"tasks":[65],"potential":[67],"interest":[68],"for":[69],"computational":[70],"semanticists":[71],"defined":[75],"on":[76,197],"those.":[77],"In":[78,221],"this,":[79],"we":[80,109,120,126,144,183,225,277],"make":[81],"use":[82],"relations":[84,107,113],"provided":[85],"(namely,":[89],"link":[91],"between":[92,98,114,117],"expression":[93],"image,":[95],"two":[99],"expressions":[100],"linked":[101],"to":[102,134,149,161,189,204,271,274,323],"same":[104,150],"image)":[105],"add":[111],"(similarity":[112],"expressions,":[115],"or":[116,254],"images).":[118],"Specifically,":[119],"show":[121,145,184],"in":[123,164,298,312,325],"this":[124,181,309,320],"way":[125],"create":[128],"data":[129],"used":[133],"learn":[135],"evaluate":[137],"lexical":[138],"compositional":[140],"grounded":[141],"semantics,":[142],"\"linked":[148],"image\"":[151],"relation":[152,157],"tracks":[153],"implicature":[156,190],"is":[159,240,256,262,306,321],"recognisable":[160],"annotators":[162],"even":[163],"absence":[166],"linking":[169],"image":[170,232,247,264,303,305],"evidence.":[172],"Finally,":[173],"an":[175,186,263],"example":[176],"possible":[178],"benefits":[179],"approach,":[182],"exemplar-model-based":[187],"approach":[188],"beats":[191],"(simple)":[193],"distributional":[194],"space-based":[195],"one":[196],"datasets,":[200],"while":[201,209],"lending":[202],"itself":[203],"explainability.":[205],"*":[206],"Work":[207],"done":[208],"author":[210],"was":[211,292],"at":[212,229,286],"Bielefeld":[213],"University.":[214],"1":[215],"There":[216,294],"are":[217,226,295],"interesting":[218],"subtleties":[219],"here.":[220,318],"our":[222],"everyday":[223],"language,":[224],"quite":[227],"good":[228],"ignoring":[230],"layer,":[233],"say":[235,279],"things":[236],"like":[237],"\"the":[238,246],"woman":[239,250],"using":[241,251,285],"computer\",":[243,253,258],"instead":[244,259,282],"shows":[248],"\"this":[255,261],"computer\".":[267],"This":[268],"also":[269],"seems":[270],"carry":[272],"over":[273],"tense,":[275],"where":[276],"\"is":[280],"using\",":[281],"\"was":[284],"time":[288],"when":[289],"picture":[291],"taken\".":[293],"however":[296],"contexts":[297],"which":[299],"talk":[300],"about":[301],"relevant,":[307],"happen":[311],"large":[313],"such":[315],"discussed":[317],"So":[319],"something":[322],"keep":[324],"mind.":[326]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
