{"id":"https://openalex.org/W3097343510","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237858","title":"Map Task Deviation Scores: A Reconstruction","display_name":"Map Task Deviation Scores: A Reconstruction","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3097343510","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237858","mag":"3097343510"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom50765.2020.9237858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064972435","display_name":"Justine Reverdy","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Justine Reverdy","raw_affiliation_strings":["Computational Linguistics Group, ADAPT Centre, School of Computer Science and Statistics Trinity College Dublin, The University of Dublin"],"affiliations":[{"raw_affiliation_string":"Computational Linguistics Group, ADAPT Centre, School of Computer Science and Statistics Trinity College Dublin, The University of Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043532343","display_name":"Hayakawa Akira","orcid":"https://orcid.org/0000-0002-2711-4943"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Hayakawa Akira","raw_affiliation_strings":["Computational Linguistics Group, School of Computer Science and Statistics Trinity College Dublin, The University of Dublin"],"affiliations":[{"raw_affiliation_string":"Computational Linguistics Group, School of Computer Science and Statistics Trinity College Dublin, The University of Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081875121","display_name":"Carl Vogel","orcid":"https://orcid.org/0000-0001-8928-8546"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Carl Vogel","raw_affiliation_strings":["Computational Linguistics Group, Trinity Centre for Computing and Language Studies, School of Computer Science and Statistics Trinity College Dublin, The University of Dublin"],"affiliations":[{"raw_affiliation_string":"Computational Linguistics Group, Trinity Centre for Computing and Language Studies, School of Computer Science and Statistics Trinity College Dublin, The University of Dublin","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064972435"],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14458729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"000349","last_page":"000354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9988999962806702,"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/T12031","display_name":"Speech and dialogue systems","score":0.9988999962806702,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9884999990463257,"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/landmark","display_name":"Landmark","score":0.8617203235626221},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.8245083093643188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008056640625},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6220111846923828},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.563500165939331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535219669342041},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47547999024391174},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3698332607746124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18706655502319336}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8617203235626221},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.8245083093643188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008056640625},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6220111846923828},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.563500165939331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535219669342041},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47547999024391174},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3698332607746124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18706655502319336},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/coginfocom50765.2020.9237858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"},{"id":"pmh:http://www.rian.ie/192736/","is_oa":false,"landing_page_url":"http://hdl.handle.net/2262/94452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Reverdy, J., Akira, H., Vogel, C., Map Task Deviation Scores: A Reconstruction, 2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Mariehamn, Finland, 2020, 349-354","raw_type":"Conference item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W52910432","https://openalex.org/W605626087","https://openalex.org/W1822339742","https://openalex.org/W1971415293","https://openalex.org/W1974166643","https://openalex.org/W2058091487","https://openalex.org/W2069470928","https://openalex.org/W2073701652","https://openalex.org/W2100878464","https://openalex.org/W2109730238","https://openalex.org/W2118142207","https://openalex.org/W2126539575","https://openalex.org/W2133270504","https://openalex.org/W2182998842","https://openalex.org/W2185859000","https://openalex.org/W2287579039","https://openalex.org/W2426188269","https://openalex.org/W2565804256","https://openalex.org/W2574884745","https://openalex.org/W2578328957","https://openalex.org/W2748747513","https://openalex.org/W2784692960","https://openalex.org/W2787607943","https://openalex.org/W2898595839","https://openalex.org/W2952786952","https://openalex.org/W2974106998","https://openalex.org/W3005780499","https://openalex.org/W3013935167","https://openalex.org/W3029140226","https://openalex.org/W4212808288","https://openalex.org/W6643086973","https://openalex.org/W6675322964","https://openalex.org/W6676501121","https://openalex.org/W6679567110","https://openalex.org/W6686261312","https://openalex.org/W6686508619","https://openalex.org/W6696132549","https://openalex.org/W6717584199","https://openalex.org/W6732057758","https://openalex.org/W6732114347","https://openalex.org/W6764895411"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2620829895","https://openalex.org/W2075933280"],"abstract_inverted_index":{"The":[0,19,41,66],"Human":[1],"Communication":[2],"Research":[3],"Centre":[4],"Map":[5,69],"Task":[6,70],"Corpus":[7],"is":[8,24,96,130],"a":[9,32,35,44],"landmark":[10],"data":[11],"source":[12],"for":[13,49,78],"analysis":[14,85],"of":[15,31,46,88],"multimodal":[16],"dialogue":[17,23],"corpora.":[18,142],"task":[20,47],"in":[21],"this":[22],"the":[25,52,62,76,89,101,116,122,127,137],"communication":[26],"by":[27],"an":[28,38],"information":[29,39,58,63,73],"giver":[30],"path":[33,55,60],"on":[34,74,140],"map":[36,80],"to":[37,99,120,132,135],"follower.":[40],"corpus":[42,90],"includes":[43],"measure":[45],"success":[48],"each":[50,79],"dialogue:":[51],"deviation":[53,123],"from":[54,61],"scores":[56,77,103,124],"(the":[57],"follower's":[59],"giver's":[64],"path).":[65],"original":[67],"HCRC":[68,138],"works":[71],"gives":[72],"how":[75],"were":[81],"calculated.":[82],"However,":[83],"upon":[84],"and":[86,114],"inspection":[87],"materials,":[91],"we":[92],"find":[93],"that":[94,110],"it":[95],"not":[97],"possible":[98],"reproduce":[100,136],"recorded":[102,125],"exactly.":[104],"We":[105],"report":[106],"four":[107],"candidate":[108],"reconstructions":[109],"all":[111],"appear":[112],"rational,":[113],"note":[115],"correlations":[117],"these":[118],"lead":[119],"with":[121,126],"corpus.":[128],"This":[129],"important":[131],"anyone":[133],"wishing":[134],"method":[139],"map-task":[141]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}