{"id":"https://openalex.org/W2567305082","doi":"https://doi.org/10.18653/v1/w16-6642","title":"Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected?","display_name":"Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected?","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2567305082","doi":"https://doi.org/10.18653/v1/w16-6642","mag":"2567305082"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-6642","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-6642","pdf_url":"https://www.aclweb.org/anthology/W16-6642.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 9th International Natural Language Generation conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W16-6642.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078051602","display_name":"Sina Zarrie\u00df","orcid":"https://orcid.org/0000-0002-1384-1218"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sina Zarrie\u00df","raw_affiliation_strings":["Dialogue Systems Group // CITEC // Faculty of Linguistics and Literary Studies Bielefeld University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dialogue Systems Group // CITEC // Faculty of Linguistics and Literary Studies Bielefeld University, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032801642","display_name":"David Schlangen","orcid":"https://orcid.org/0000-0002-2686-6887"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Schlangen","raw_affiliation_strings":["Dialogue Systems Group // CITEC // Faculty of Linguistics and Literary Studies Bielefeld University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dialogue Systems Group // CITEC // Faculty of Linguistics and Literary Studies Bielefeld University, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2601,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88529727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12694","display_name":"Categorization, perception, and language","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12694","display_name":"Categorization, perception, and language","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.977400004863739,"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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9466000199317932,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860141754150391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6448311805725098},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5298312306404114},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.5053356289863586},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48474881052970886},{"id":"https://openalex.org/keywords/prime","display_name":"Prime (order theory)","score":0.45085352659225464},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43176084756851196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4217311441898346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2501733899116516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860141754150391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6448311805725098},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5298312306404114},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.5053356289863586},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48474881052970886},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.45085352659225464},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43176084756851196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4217311441898346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2501733899116516},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w16-6642","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-6642","pdf_url":"https://www.aclweb.org/anthology/W16-6642.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 9th International Natural Language Generation conference","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.librecat.org:2905650","is_oa":true,"landing_page_url":"https://pub.uni-bielefeld.de/record/2905650","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":"Zarrie\u00df S, Schlangen D. Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? In:  &lt;em&gt;Proceedings of the 9th International Natural Language Generation conference&lt;/em&gt;. Edinburgh, UK: Association for Computational Linguistics;  2016: 246--255.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-6642","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-6642","pdf_url":"https://www.aclweb.org/anthology/W16-6642.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 9th International Natural Language Generation conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"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/G6269176539","display_name":null,"funder_award_id":"EXC 277","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/W2567305082.pdf","grobid_xml":"https://content.openalex.org/works/W2567305082.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W114341944","https://openalex.org/W1491470572","https://openalex.org/W1608322251","https://openalex.org/W1796264214","https://openalex.org/W2006147162","https://openalex.org/W2038475577","https://openalex.org/W2067527300","https://openalex.org/W2097117768","https://openalex.org/W2097428050","https://openalex.org/W2101234009","https://openalex.org/W2106615295","https://openalex.org/W2109506130","https://openalex.org/W2116561061","https://openalex.org/W2117978034","https://openalex.org/W2125447031","https://openalex.org/W2156050092","https://openalex.org/W2162749542","https://openalex.org/W2162762921","https://openalex.org/W2166188321","https://openalex.org/W2166287676","https://openalex.org/W2185175083","https://openalex.org/W2240667216","https://openalex.org/W2250351336","https://openalex.org/W2251512949","https://openalex.org/W2284684093","https://openalex.org/W2395482612","https://openalex.org/W2403086116","https://openalex.org/W2407083678"],"related_works":["https://openalex.org/W4300450609","https://openalex.org/W4386931570","https://openalex.org/W2391010541","https://openalex.org/W2357367123","https://openalex.org/W4388930439","https://openalex.org/W2387276901","https://openalex.org/W2385953334","https://openalex.org/W2351303360","https://openalex.org/W3134118520","https://openalex.org/W2349223072"],"abstract_inverted_index":{"Colour":[0],"terms":[1,29,66,80],"have":[2],"been":[3],"a":[4,42,61,71],"prime":[5],"phenomenon":[6],"for":[7],"studying":[8],"language":[9],"grounding,":[10],"though":[11],"previous":[12],"work":[13],"focussed":[14],"mostly":[15],"on":[16],"descriptions":[17],"of":[18,44],"simple":[19],"objects":[20,48],"or":[21],"colour":[22,28,65,79],"swatches.":[23],"This":[24],"paper":[25],"investigates":[26],"whether":[27],"can":[30],"be":[31],"learned":[32],"from":[33,59],"more":[34],"realistic":[35],"and":[36,84],"potentially":[37],"noisy":[38],"visual":[39,68],"inputs,":[40],"using":[41],"corpus":[43],"referring":[45],"expressions":[46],"to":[47,82],"represented":[49],"as":[50],"regions":[51],"in":[52,67],"real-world":[53],"images.":[54],"We":[55],"obtain":[56],"promising":[57],"results":[58],"combining":[60],"classifier":[62],"that":[63,74],"grounds":[64],"input":[69],"with":[70],"recalibration":[72],"model":[73],"adjusts":[75],"probability":[76],"distributions":[77],"over":[78],"according":[81],"contextual":[83],"object-specific":[85],"preferences.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
