{"id":"https://openalex.org/W4402351898","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650263","title":"Improving Pointer Network based Dialogue State Tracking via Dual Hierarchical Selective Augmentation","display_name":"Improving Pointer Network based Dialogue State Tracking via Dual Hierarchical Selective Augmentation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351898","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650263"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087486098","display_name":"Shuangyong Song","orcid":"https://orcid.org/0000-0001-7465-1082"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangyong Song","raw_affiliation_strings":["TeleAI, China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeleAI, China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101730799","display_name":"Hongyan Xie","orcid":"https://orcid.org/0009-0003-8137-5567"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Xie","raw_affiliation_strings":["JD AI Research,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD AI Research,Beijing,China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067456520","display_name":"Haoxiang Su","orcid":"https://orcid.org/0009-0007-1057-5499"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxiang Su","raw_affiliation_strings":["Xinjiang University,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024772368","display_name":"Hao Huang","orcid":"https://orcid.org/0000-0001-6604-0951"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Huang","raw_affiliation_strings":["Xinjiang University,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102706632","display_name":"Mengxiang Li","orcid":"https://orcid.org/0000-0003-4411-239X"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxiang Li","raw_affiliation_strings":["TeleAI, China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeleAI, China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722779","display_name":"Zhongjiang He","orcid":"https://orcid.org/0009-0000-1835-9271"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjiang He","raw_affiliation_strings":["TeleAI, China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeleAI, China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373501","display_name":"Yongxiang Li","orcid":"https://orcid.org/0000-0002-0496-8196"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxiang Li","raw_affiliation_strings":["TeleAI, China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeleAI, China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113145190","display_name":"Ruiyu Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyu Fang","raw_affiliation_strings":["TeleAI, China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeleAI, China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9980000257492065,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9775000214576721,"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/pointer","display_name":"Pointer (user interface)","score":0.7914507389068604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7670159935951233},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6117326617240906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2761043906211853}],"concepts":[{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.7914507389068604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670159935951233},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6117326617240906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2761043906211853},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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":31,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2064675550","https://openalex.org/W2250539671","https://openalex.org/W2556468274","https://openalex.org/W2606974598","https://openalex.org/W2740747242","https://openalex.org/W2798367796","https://openalex.org/W2945475330","https://openalex.org/W2963283951","https://openalex.org/W2964006684","https://openalex.org/W2964057895","https://openalex.org/W2973230427","https://openalex.org/W2998228050","https://openalex.org/W3021096583","https://openalex.org/W3034573951","https://openalex.org/W3034956542","https://openalex.org/W3035470414","https://openalex.org/W3035633461","https://openalex.org/W3038103859","https://openalex.org/W3088273075","https://openalex.org/W3099088459","https://openalex.org/W3099140977","https://openalex.org/W4206020134","https://openalex.org/W4287795696","https://openalex.org/W4389009440","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6691246603","https://openalex.org/W6725207838","https://openalex.org/W6756633860","https://openalex.org/W6776587266"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2387387477","https://openalex.org/W4396701345","https://openalex.org/W2394051415","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Dialogue":[0],"state":[1,10],"tracking":[2],"is":[3,126],"responsible":[4],"for":[5,20,192],"predicting":[6],"the":[7,12,28,32,35,50,56,59,89,99,112,122,131,138,143,157,164,173,181,186,190,200,204,208,218,231],"user\u2019s":[8],"dialogue":[9,14,36,52,64,103,123,132,161,182],"during":[11],"whole":[13],"process.":[15],"In":[16,88,111],"practical":[17],"applications,":[18],"values":[19,48,216],"different":[21],"slots":[22,45],"exist":[23],"in":[24,180],"individual":[25],"utterances":[26],"of":[27,34,58,77,116,160,189,203],"dialog":[29],"history.":[30,53],"With":[31],"accumulation":[33],"history,":[37,65],"it":[38],"becomes":[39],"extremely":[40],"difficult":[41],"to":[42,84,130,155,198,213],"accurately":[43],"predict":[44],"and":[46,101,105,134,184,195],"corresponding":[47],"from":[49,118,163,217],"lengthy":[51,63],"To":[54],"solve":[55],"problem":[57],"interference":[60,174],"caused":[61,175],"by":[62,176],"we":[66,92,206],"propose":[67],"a":[68,119],"dual":[69,168],"hierarchical":[70,79,169],"selective":[71],"augmentation":[72],"method,":[73],"which":[74],"makes":[75],"use":[76,207],"two":[78],"level":[80],"information":[81,125,179],"selection":[82,171],"strategy":[83],"generate":[85],"slot":[86,100,146,215],"values.":[87],"encoding":[90],"phase,":[91,114],"first":[93,115],"extract":[94],"word-level":[95],"matching":[96],"features":[97],"between":[98],"each":[102],"turn,":[104],"then":[106],"build":[107],"turn-level":[108],"context":[109,133,153,170],"relevance.":[110],"decoding":[113],"all,":[117],"global":[120],"perspective,":[121],"turn":[124,144,162,209],"selected":[127],"multiple":[128,228],"according":[129],"slot,":[135],"so":[136],"that":[137,223],"model":[139,150,191,225],"focuses":[140],"more":[141],"on":[142,230],"containing":[145],"value.":[147],"Secondly,":[148],"our":[149,224],"performs":[151],"weighted":[152],"attention":[154],"capture":[156],"critical":[158],"words":[159],"local":[165],"view.":[166],"This":[167],"alleviates":[172],"excessive":[177],"redundant":[178],"history":[183],"enhances":[185],"judgment":[187],"ability":[188,202],"vital":[193],"turns":[194],"words.":[196],"Furthermore,":[197],"enhance":[199],"copying":[201],"model,":[205],"selection-guided":[210],"pointer":[211],"network":[212],"copy":[214],"dialogue.":[219],"Experimental":[220],"results":[221],"show":[222],"significantly":[226],"outperforms":[227],"baselines":[229],"released":[232],"MultiWOZ":[233],"benchmark.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}