{"id":"https://openalex.org/W1999888025","doi":"https://doi.org/10.1145/1889681.1889685","title":"Probabilistic models for concurrent chatting activity recognition","display_name":"Probabilistic models for concurrent chatting activity recognition","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1999888025","doi":"https://doi.org/10.1145/1889681.1889685","mag":"1999888025"},"language":"en","primary_location":{"id":"doi:10.1145/1889681.1889685","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1889681.1889685","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5027572002","display_name":"Jane Yung-jen Hsu","orcid":"https://orcid.org/0000-0002-2408-4603"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jane Yung-Jen Hsu","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053114940","display_name":"Chia-Chun Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Chun Lian","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063601745","display_name":"Wan-rong Jih","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wan-Rong Jih","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027572002"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":3.9759,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93669712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9995999932289124,"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":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9976999759674072,"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":0.8451082706451416},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7961845993995667},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7947400808334351},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.6909917593002319},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6605554819107056},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6361156105995178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6049585938453674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5520994663238525},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5246584415435791},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.4797409772872925},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4720269739627838},{"id":"https://openalex.org/keywords/factorial","display_name":"Factorial","score":0.43406862020492554},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.412431001663208},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41110071539878845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16453060507774353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8451082706451416},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7961845993995667},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7947400808334351},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.6909917593002319},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6605554819107056},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6361156105995178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6049585938453674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5520994663238525},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5246584415435791},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.4797409772872925},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4720269739627838},{"id":"https://openalex.org/C183763347","wikidata":"https://www.wikidata.org/wiki/Q120976","display_name":"Factorial","level":2,"score":0.43406862020492554},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.412431001663208},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41110071539878845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16453060507774353},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1889681.1889685","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1889681.1889685","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G4788990198","display_name":null,"funder_award_id":"NSC 96-2628-E-002-173-MY3NSC 099-2811-E-002-020","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1521452179","https://openalex.org/W1583837637","https://openalex.org/W1590057516","https://openalex.org/W1908728294","https://openalex.org/W2019599312","https://openalex.org/W2066006588","https://openalex.org/W2098989639","https://openalex.org/W2109189215","https://openalex.org/W2120804163","https://openalex.org/W2121250409","https://openalex.org/W2125838338","https://openalex.org/W2147289866","https://openalex.org/W2147880316","https://openalex.org/W2152239535","https://openalex.org/W2152463966","https://openalex.org/W2154452919","https://openalex.org/W2169415915","https://openalex.org/W2250911494","https://openalex.org/W2531563875","https://openalex.org/W2598224856","https://openalex.org/W2623660146"],"related_works":["https://openalex.org/W2061145149","https://openalex.org/W50065450","https://openalex.org/W2612895134","https://openalex.org/W2298902871","https://openalex.org/W2129270363","https://openalex.org/W1560512119","https://openalex.org/W2951088220","https://openalex.org/W1614580364","https://openalex.org/W2099667205","https://openalex.org/W4294030873"],"abstract_inverted_index":{"Recognition":[0],"of":[1,17,32,61],"chatting":[2,34],"activities":[3],"in":[4,21,104],"social":[5,12],"interactions":[6],"is":[7],"useful":[8],"for":[9,79],"constructing":[10],"human":[11],"networks.":[13],"However,":[14],"the":[15,29,59,76,129,136,146],"existence":[16],"multiple":[18,22,52],"people":[19],"involved":[20],"dialogues":[23],"presents":[24],"special":[25],"challenges.":[26],"To":[27],"model":[28,46,88],"conversational":[30],"dynamics":[31],"concurrent":[33],"behaviors,":[35],"this":[36],"article":[37],"advocates":[38],"Factorial":[39],"Conditional":[40],"Random":[41,96],"Fields":[42,97],"(FCRFs)":[43],"as":[44,75],"a":[45],"to":[47,57,84],"accommodate":[48],"co-temporal":[49],"relationships":[50],"among":[51],"activity":[53],"states.":[54],"In":[55],"addition,":[56],"avoid":[58],"use":[60],"inefficient":[62],"Loopy":[63],"Belief":[64],"Propagation":[65],"(LBP)":[66],"algorithm,":[67],"we":[68],"propose":[69],"using":[70,128],"Iterative":[71],"Classification":[72],"Algorithm":[73],"(ICA)":[74],"inference":[77,131,148],"method":[78],"FCRFs.":[80],"We":[81,123],"designed":[82],"experiments":[83],"compare":[85],"our":[86],"FCRFs":[87,117,127],"with":[89],"two":[90],"dynamic":[91],"probabilistic":[92],"models,":[93],"Parallel":[94],"Condition":[95],"(PCRFs)":[98],"and":[99,106,120],"Hidden":[100],"Markov":[101],"Models":[102],"(HMMs),":[103],"learning":[105],"decoding":[107],"based":[108],"on":[109],"auditory":[110],"data.":[111],"The":[112],"experimental":[113],"results":[114],"show":[115],"that":[116,126],"outperform":[118],"PCRFs":[119],"HMMs-like":[121],"models.":[122],"also":[124,140],"discover":[125],"ICA":[130],"approach":[132],"not":[133],"only":[134],"improves":[135],"recognition":[137],"accuracy":[138],"but":[139],"takes":[141],"significantly":[142],"less":[143],"time":[144],"than":[145],"LBP":[147],"method.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}