{"id":"https://openalex.org/W4387846714","doi":"https://doi.org/10.1145/3583780.3615277","title":"Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond","display_name":"Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846714","doi":"https://doi.org/10.1145/3583780.3615277"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615277","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615277","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615277","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615277","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066326081","display_name":"Kalpa Gunaratna","orcid":"https://orcid.org/0000-0002-9058-4577"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kalpa Gunaratna","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718451","display_name":"Vijay Srinivasan","orcid":"https://orcid.org/0009-0006-6572-6787"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Srinivasan","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044205212","display_name":"Hongxia Jin","orcid":"https://orcid.org/0009-0000-0222-4217"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongxia Jin","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066326081"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66150921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3913","last_page":"3917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9993000030517578,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9939000010490417,"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":0.8256567120552063},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.8041349649429321},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.7438794374465942},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6887097358703613},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.513263463973999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4505302906036377},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4501875340938568},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4044707119464874},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08528617024421692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256567120552063},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.8041349649429321},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.7438794374465942},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6887097358703613},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.513263463973999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4505302906036377},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4501875340938568},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4044707119464874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08528617024421692},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615277","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615277","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615277","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583780.3615277","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615277","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615277","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387846714.pdf","grobid_xml":"https://content.openalex.org/works/W4387846714.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2077302143","https://openalex.org/W2473329891","https://openalex.org/W2803392141","https://openalex.org/W2905450837","https://openalex.org/W2945976633","https://openalex.org/W2963033987","https://openalex.org/W2963974889","https://openalex.org/W2970726176","https://openalex.org/W2971167298","https://openalex.org/W2996061341","https://openalex.org/W2997774779","https://openalex.org/W3118112268","https://openalex.org/W3161463965","https://openalex.org/W3195336977","https://openalex.org/W3207981220","https://openalex.org/W4252110927","https://openalex.org/W4385574301","https://openalex.org/W4404783772"],"related_works":["https://openalex.org/W2389087714","https://openalex.org/W4288263119","https://openalex.org/W3015724364","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4286930972","https://openalex.org/W3202115945","https://openalex.org/W2542958340","https://openalex.org/W4389520438"],"abstract_inverted_index":{"Joint":[0],"intent":[1],"detection":[2],"and":[3,61,122],"slot":[4],"filling,":[5],"which":[6],"is":[7,16,38],"also":[8],"termed":[9],"as":[10,93],"joint":[11,48,78,98],"NLU":[12,49,79,99],"(Natural":[13],"Language":[14],"Understanding)":[15],"invaluable":[17],"for":[18,43],"smart":[19],"voice":[20],"assistants.":[21],"Recent":[22],"advancements":[23],"in":[24,111],"this":[25,72,118],"area":[26],"have":[27,63],"been":[28],"heavily":[29],"focusing":[30],"on":[31,90],"improving":[32],"accuracy":[33],"using":[34,119],"various":[35],"techniques.":[36],"Explainability":[37],"undoubtedly":[39],"an":[40],"important":[41],"aspect":[42],"deep":[44],"learning-based":[45],"models":[46],"including":[47],"models.":[50],"Without":[51],"explainability,":[52],"their":[53],"decisions":[54],"are":[55],"opaque":[56],"to":[57,65,70,81],"the":[58,76,96],"outside":[59],"world":[60],"hence,":[62],"tendency":[64],"lack":[66],"user":[67],"trust.":[68],"Therefore":[69],"bridge":[71],"gap,":[73],"we":[74,94,102],"transform":[75],"full":[77,97],"model":[80,100],"be":[82,108],"'inherently'":[83],"explainable":[84],"at":[85],"granular":[86],"levels":[87],"without":[88],"compromising":[89],"accuracy.":[91],"Further,":[92],"enable":[95],"explainable,":[101],"show":[103],"that":[104],"our":[105],"extension":[106],"can":[107],"successfully":[109],"used":[110],"other":[112],"general":[113],"classification":[114],"tasks.":[115],"We":[116],"demonstrate":[117],"sentiment":[120],"analysis":[121],"named":[123],"entity":[124],"recognition.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}