{"id":"https://openalex.org/W2037891883","doi":"https://doi.org/10.1109/asru.2013.6707713","title":"Barge-in effects in Bayesian dialogue act recognition and simulation","display_name":"Barge-in effects in Bayesian dialogue act recognition and simulation","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2037891883","doi":"https://doi.org/10.1109/asru.2013.6707713","mag":"2037891883"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2013.6707713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2013.6707713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Automatic Speech Recognition and Understanding","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/A5036357777","display_name":"Heriberto Cuay\u00e1huitl","orcid":"https://orcid.org/0000-0002-1937-9837"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Heriberto Cuayahuitl","raw_affiliation_strings":["Heriot-Watt University, Edinburgh, Edinburgh, GB","Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, Edinburgh, Edinburgh, GB","institution_ids":[]},{"raw_affiliation_string":"Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015800938","display_name":"Nina Dethlefs","orcid":"https://orcid.org/0000-0002-6917-5066"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nina Dethlefs","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084819987","display_name":"Helen Hastie","orcid":"https://orcid.org/0000-0002-9177-7282"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Helen Hastie","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010949145","display_name":"Oliver Lemon","orcid":"https://orcid.org/0000-0001-9497-4743"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Oliver Lemon","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh, UK#TAB#","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036357777"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":1.9236,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88102326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"88","issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/barge","display_name":"BARGE","score":0.9805952310562134},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.7843203544616699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7753067016601562},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7273001670837402},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5988220572471619},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5589421391487122},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.526698648929596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47610339522361755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4371473491191864},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13446468114852905}],"concepts":[{"id":"https://openalex.org/C2776011996","wikidata":"https://www.wikidata.org/wiki/Q4834636","display_name":"BARGE","level":2,"score":0.9805952310562134},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7843203544616699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753067016601562},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7273001670837402},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5988220572471619},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5589421391487122},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.526698648929596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47610339522361755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4371473491191864},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13446468114852905},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2013.6707713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2013.6707713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Automatic Speech Recognition and Understanding","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":63,"referenced_works":["https://openalex.org/W1375381","https://openalex.org/W9230629","https://openalex.org/W62710299","https://openalex.org/W77001256","https://openalex.org/W102921666","https://openalex.org/W178897730","https://openalex.org/W839997264","https://openalex.org/W1518203739","https://openalex.org/W1672823562","https://openalex.org/W1691659217","https://openalex.org/W1763097524","https://openalex.org/W1977970897","https://openalex.org/W1983906381","https://openalex.org/W1986532700","https://openalex.org/W1987725259","https://openalex.org/W1993526345","https://openalex.org/W2045460262","https://openalex.org/W2045804781","https://openalex.org/W2076687403","https://openalex.org/W2097197710","https://openalex.org/W2104554186","https://openalex.org/W2105221873","https://openalex.org/W2109029380","https://openalex.org/W2109038907","https://openalex.org/W2110450943","https://openalex.org/W2110633879","https://openalex.org/W2111477550","https://openalex.org/W2117448986","https://openalex.org/W2118564791","https://openalex.org/W2120045257","https://openalex.org/W2128965063","https://openalex.org/W2128970689","https://openalex.org/W2134466368","https://openalex.org/W2150407103","https://openalex.org/W2153115838","https://openalex.org/W2153385324","https://openalex.org/W2157236054","https://openalex.org/W2162816859","https://openalex.org/W2168490009","https://openalex.org/W2251356006","https://openalex.org/W2251411306","https://openalex.org/W2396394954","https://openalex.org/W2396863940","https://openalex.org/W2401527985","https://openalex.org/W4323322863","https://openalex.org/W6600062286","https://openalex.org/W6600363174","https://openalex.org/W6602539159","https://openalex.org/W6604243557","https://openalex.org/W6607332261","https://openalex.org/W6623533968","https://openalex.org/W6630837037","https://openalex.org/W6637018064","https://openalex.org/W6637425248","https://openalex.org/W6637808330","https://openalex.org/W6674823079","https://openalex.org/W6675705275","https://openalex.org/W6675996357","https://openalex.org/W6676796516","https://openalex.org/W6677928759","https://openalex.org/W6682690670","https://openalex.org/W6691372056","https://openalex.org/W6981062633"],"related_works":["https://openalex.org/W637339094","https://openalex.org/W2973056200","https://openalex.org/W657185911","https://openalex.org/W1481190887","https://openalex.org/W4206621407","https://openalex.org/W2768009307","https://openalex.org/W2320338511","https://openalex.org/W1974105765","https://openalex.org/W2892989812","https://openalex.org/W2947571721"],"abstract_inverted_index":{"Dialogue":[0],"act":[1,83],"recognition":[2,84],"and":[3,48],"simulation":[4],"are":[5,105],"traditionally":[6],"considered":[7],"separate":[8],"processes.":[9],"Here,":[10],"we":[11,39],"argue":[12],"that":[13,44,72,99],"both":[14],"can":[15],"be":[16],"fruitfully":[17],"treated":[18],"as":[19],"interleaved":[20],"processes":[21],"within":[22],"the":[23,46,51,68],"same":[24],"probabilistic":[25],"model,":[26],"leading":[27],"to":[28,91],"a":[29],"synchronous":[30],"improvement":[31,75],"of":[32,50],"performance":[33],"in":[34,76,80],"both.":[35],"To":[36],"demonstrate":[37],"this,":[38],"train":[40],"multiple":[41],"Bayes":[42],"Nets":[43],"predict":[45],"timing":[47],"content":[49],"next":[52],"user":[53,103],"utterance.":[54],"A":[55],"specific":[56],"focus":[57],"is":[58],"on":[59],"providing":[60],"support":[61],"for":[62],"barge-ins.":[63],"We":[64],"describe":[65],"experiments":[66],"using":[67,87,92],"Let's":[69],"Go":[70],"data":[71],"show":[73],"an":[74],"classification":[77],"accuracy":[78],"(+5%)":[79],"Bayesian":[81],"dialogue":[82],"involving":[85],"barge-ins":[86],"partial":[88],"context":[89],"compared":[90],"full":[93],"context.":[94],"Our":[95],"results":[96],"also":[97],"indicate":[98],"simulated":[100],"dialogues":[101],"with":[102],"barge-in":[104,111],"more":[106],"realistic":[107],"than":[108],"simulations":[109],"without":[110],"events.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
