{"id":"https://openalex.org/W2993786352","doi":"https://doi.org/10.1109/icawst.2019.8923371","title":"Method to Present Situation Aware Suitable Reply Candidate on Mobile Terminal","display_name":"Method to Present Situation Aware Suitable Reply Candidate on Mobile Terminal","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993786352","doi":"https://doi.org/10.1109/icawst.2019.8923371","mag":"2993786352"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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/A5080672160","display_name":"Norifumi Watanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Norifumi Watanabe","raw_affiliation_strings":["Graduate School of Software and Information Science, Iwate Prefectural University, Iwate, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Software and Information Science, Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000954580","display_name":"Masafumi Matsuhara","orcid":null},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masafumi Matsuhara","raw_affiliation_strings":["Faculty of Software and Information Science, Iwate Prefectural University, Iwate, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Software and Information Science, Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615097","display_name":"Goutam Chakraborty","orcid":null},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Goutam Chakraborty","raw_affiliation_strings":["Faculty of Software and Information Science, Iwate Prefectural University, Iwate, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Software and Information Science, Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100871769","display_name":"Hiroshi Mabuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Mabuchi","raw_affiliation_strings":["Faculty of Software and Information Science, Iwate Prefectural University, Iwate, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Software and Information Science, Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080672160"],"corresponding_institution_ids":["https://openalex.org/I6090238"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58957326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.991599977016449,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.991599977016449,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9869999885559082,"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/terminal","display_name":"Terminal (telecommunication)","score":0.8139115571975708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7975572943687439},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5957330465316772},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5887565612792969},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5529037117958069},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.45043233036994934},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43473923206329346},{"id":"https://openalex.org/keywords/mobile-telephony","display_name":"Mobile telephony","score":0.42547979950904846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34737104177474976},{"id":"https://openalex.org/keywords/mobile-radio","display_name":"Mobile radio","score":0.2096131145954132},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20513662695884705},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13439512252807617}],"concepts":[{"id":"https://openalex.org/C2779664074","wikidata":"https://www.wikidata.org/wiki/Q3518405","display_name":"Terminal (telecommunication)","level":2,"score":0.8139115571975708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975572943687439},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5957330465316772},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5887565612792969},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5529037117958069},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.45043233036994934},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43473923206329346},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.42547979950904846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34737104177474976},{"id":"https://openalex.org/C2781307350","wikidata":"https://www.wikidata.org/wiki/Q6887221","display_name":"Mobile radio","level":2,"score":0.2096131145954132},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20513662695884705},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13439512252807617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2107667213","https://openalex.org/W2112261049","https://openalex.org/W2113125055","https://openalex.org/W2160458012","https://openalex.org/W2312544889","https://openalex.org/W4236521339","https://openalex.org/W6636954190","https://openalex.org/W6676723433","https://openalex.org/W6683412400"],"related_works":["https://openalex.org/W4251972423","https://openalex.org/W1503216044","https://openalex.org/W2792021786","https://openalex.org/W184503604","https://openalex.org/W3212733659","https://openalex.org/W3139163873","https://openalex.org/W2896203871","https://openalex.org/W3097326233","https://openalex.org/W2046852935","https://openalex.org/W2058315714"],"abstract_inverted_index":{"In":[0,28,80],"recent":[1],"years,":[2],"the":[3,51,124,132,135,139,142,197,216,238,251,263,273],"number":[4],"of":[5,134,158,194,262],"users":[6,31,107],"using":[7],"a":[8,13,17,23,43,57,68,71,84,88,93,114,175,208,247,265],"mobile":[9,19,44,58,72,95],"terminal":[10,20,45,73],"such":[11,21],"as":[12,22,207,218,246],"smart":[14,24],"phone":[15],"and":[16,76,153,223],"small":[18,55,94],"watch":[25],"is":[26,48,54,162,204,244,258],"increasing.":[27,49],"addition,":[29],"SNS":[30,47,91],"are":[32,64,78,181,186,213,228],"increasing":[33],"year":[34],"by":[35,221,233],"year.":[36],"Therefore,":[37,66],"necessity":[38],"for":[39,61],"creating":[40,67,83],"messages":[41],"on":[42,56,70,92,192],"through":[46],"Since":[50,196,250],"operation":[52],"screen":[53],"terminal,":[59,96],"keys":[60],"character":[62,151],"input":[63,152],"small.":[65],"message":[69,89,154],"takes":[74],"time":[75,264],"typos":[77],"common.":[79],"particular,":[81],"when":[82],"reply":[85,121,148,176,219,253,267],"after":[86],"receiving":[87],"via":[90],"it":[97,257],"may":[98,108,200],"be":[99,110,270],"difficult":[100],"to":[101,116,123,127,131,163,173,215,272],"respond":[102],"quickly.":[103],"Smooth":[104],"communication":[105,166],"between":[106,167],"not":[109,205],"possible.We":[111],"have":[112],"proposed":[113,140,160,252],"method":[115,161],"present":[117,174],"multiple":[118],"relevant":[119],"situation-aware":[120],"candidates":[122,220],"user":[125,143,217],"corresponding":[126],"different":[128,231,255],"situations":[129,232],"according":[130],"topic":[133],"received":[136],"sentence.":[137],"By":[138],"method,":[141],"can":[144],"select":[145],"an":[146],"appropriate":[147,206],"without":[149],"performing":[150],"revision.":[155],"The":[156,169,178,226,235],"purpose":[157],"our":[159],"support":[164],"smooth":[165],"users.":[168],"system":[170],"collects":[171],"tweets":[172,180,199,212],"candidate.":[177],"collected":[179,198],"divided":[182,229],"into":[183,230],"sentences.":[184],"Tweets":[185],"often":[187],"written":[188],"in":[189],"spoken":[190],"language":[191],"variety":[193],"topics.":[195],"contain":[201],"noise":[202],"that":[203,260],"reply,":[209],"only":[210],"suitable":[211,266],"presented":[214,245,271],"clustering":[222],"scoring":[224],"them.":[225],"sentences":[227,236],"clustering.":[234],"with":[237],"highest":[239],"score":[240],"from":[241],"each":[242],"class":[243],"candidate":[248,268],"reply.":[249],"indicates":[254],"situations,":[256],"expected":[259],"most":[261],"will":[269],"user.":[274]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
