{"id":"https://openalex.org/W2951064641","doi":"https://doi.org/10.18653/v1/p19-1063","title":"Know What You Don\u2019t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories","display_name":"Know What You Don\u2019t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951064641","doi":"https://doi.org/10.18653/v1/p19-1063","mag":"2951064641"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1063","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1063","pdf_url":"https://www.aclweb.org/anthology/P19-1063.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1063.pdf","any_repository_has_fulltext":null},"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":true,"raw_author_name":"Sina Zarrie\u00df","raw_affiliation_strings":["Faculty of Linguistics and Literary Studies Bielefeld University, Germany"],"affiliations":[{"raw_affiliation_string":"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/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":false,"raw_author_name":"David Schlangen","raw_affiliation_strings":["Linguistics Department University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Linguistics Department University of Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078051602"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":null,"apc_paid":null,"fwci":1.4171,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85322259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"654","last_page":"659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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":0.9990000128746033,"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":0.7959917783737183},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.643744945526123},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6371282339096069},{"id":"https://openalex.org/keywords/literal","display_name":"Literal (mathematical logic)","score":0.6346567273139954},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5654580593109131},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5561933517456055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5401514768600464},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.4272856116294861},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.4193704128265381},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3450065851211548},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.29388517141342163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959917783737183},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.643744945526123},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6371282339096069},{"id":"https://openalex.org/C2780882242","wikidata":"https://www.wikidata.org/wiki/Q14235582","display_name":"Literal (mathematical logic)","level":2,"score":0.6346567273139954},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5654580593109131},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5561933517456055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5401514768600464},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4272856116294861},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.4193704128265381},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3450065851211548},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.29388517141342163},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1063","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1063","pdf_url":"https://www.aclweb.org/anthology/P19-1063.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1063","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1063","pdf_url":"https://www.aclweb.org/anthology/P19-1063.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.75,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951064641.pdf","grobid_xml":"https://content.openalex.org/works/W2951064641.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1889081078","https://openalex.org/W1895577753","https://openalex.org/W1983707534","https://openalex.org/W1993979041","https://openalex.org/W2108598243","https://openalex.org/W2110930288","https://openalex.org/W2124033848","https://openalex.org/W2125447031","https://openalex.org/W2134270519","https://openalex.org/W2144960104","https://openalex.org/W2173180041","https://openalex.org/W2277195237","https://openalex.org/W2295431719","https://openalex.org/W2489434015","https://openalex.org/W2571175805","https://openalex.org/W2574790321","https://openalex.org/W2903036216","https://openalex.org/W2963109634","https://openalex.org/W2963318456","https://openalex.org/W2963877622","https://openalex.org/W2964183327","https://openalex.org/W3104279398","https://openalex.org/W3143107425"],"related_works":["https://openalex.org/W2354228963","https://openalex.org/W2353470215","https://openalex.org/W2368065130","https://openalex.org/W2079547420","https://openalex.org/W2375526953","https://openalex.org/W1961477852","https://openalex.org/W2352938462","https://openalex.org/W2911854145","https://openalex.org/W2393979483","https://openalex.org/W1983986969"],"abstract_inverted_index":{"Zero-shot":[0],"learning":[1],"in":[2,22,34,59,121],"Language":[3],"&":[4],"Vision":[5],"is":[6],"the":[7,90],"task":[8],"of":[9,15,20,41,65,87,97,123,126],"correctly":[10],"labelling":[11],"(or":[12],"naming)":[13],"objects":[14,116],"novel":[16,57,115],"categories.":[17,83],"Another":[18],"strand":[19],"work":[21],"L&V":[23],"aims":[24],"at":[25],"pragmatically":[26],"informative":[27],"rather":[28],"than":[29],"\"correct\"":[30],"object":[31,58,82],"descriptions,":[32],"e.g.":[33],"reference":[35,46],"games.":[36],"We":[37,106],"combine":[38],"these":[39],"lines":[40],"research":[42],"and":[43,95],"model":[44],"zero-shot":[45],"games,":[47],"where":[48],"a":[49,56,71,76,85,103],"speaker":[50,78],"needs":[51],"to":[52,55,74,102],"successfully":[53],"refer":[54],"an":[60,127],"image.":[61],"Inspired":[62],"by":[63],"models":[64],"\"rational":[66],"speech":[67],"acts\",":[68],"we":[69],"extend":[70],"neural":[72],"generator":[73,91],"become":[75],"pragmatic":[77],"reasoning":[79],"about":[80],"uncertain":[81],"As":[84],"result":[86],"this":[88,109],"reasoning,":[89],"produces":[92],"fewer":[93],"nouns":[94],"names":[96],"distractor":[98],"categories":[99],"as":[100],"compared":[101],"literal":[104],"speaker.":[105],"show":[107],"that":[108],"conversational":[110],"strategy":[111],"for":[112],"dealing":[113],"with":[114],"often":[117],"improves":[118],"communicative":[119],"success,":[120],"terms":[122],"resolution":[124],"accuracy":[125],"automatic":[128],"listener.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
