{"id":"https://openalex.org/W2406991548","doi":"https://doi.org/10.21437/interspeech.2013-599","title":"Exploiting shared information for multi-intent natural language sentence classification","display_name":"Exploiting shared information for multi-intent natural language sentence classification","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2406991548","doi":"https://doi.org/10.21437/interspeech.2013-599","mag":"2406991548"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2013-599","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","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/A5113753678","display_name":"Puyang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Puyang Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072875068","display_name":"Ruhi Sarikaya","orcid":"https://orcid.org/0000-0003-2676-2831"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ruhi Sarikaya","raw_affiliation_strings":["(Microsoft)"],"affiliations":[{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113753678"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9885,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.84433657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3785","last_page":"3789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8161649703979492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7982673645019531},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6372477412223816},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6350818872451782},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.625587522983551},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5829267501831055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5551900863647461},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.5055539608001709},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4548048675060272},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4392161965370178}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8161649703979492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982673645019531},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6372477412223816},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6350818872451782},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.625587522983551},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5829267501831055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5551900863647461},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.5055539608001709},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4548048675060272},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4392161965370178},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2013-599","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.642.9202","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.642.9202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.clsp.jhu.edu/~puyang/papers/double_intent.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W41198089","https://openalex.org/W2015517729","https://openalex.org/W2017578526","https://openalex.org/W2035514778","https://openalex.org/W2053463056","https://openalex.org/W2098880560","https://openalex.org/W2101534792","https://openalex.org/W2109614908","https://openalex.org/W2111305191","https://openalex.org/W2115101920","https://openalex.org/W2146241755","https://openalex.org/W2156615793","https://openalex.org/W2171144711","https://openalex.org/W2182497163"],"related_works":["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","https://openalex.org/W1991374750"],"abstract_inverted_index":{"Multi-intent":[0],"natural":[1,14],"language":[2,15,109],"sentence":[3],"classification":[4,82],"aims":[5],"at":[6],"identifying":[7],"multiple":[8],"user":[9],"goals":[10],"in":[11,81],"a":[12,89],"single":[13,103],"sen-tence":[16],"(e.g.,":[17],"\u201cfind":[18],"Beyonce\u2019s":[19],"movie":[20],"and":[21,64],"music":[22],"\u201d":[23],"\u2192":[24],"find":[25,27],"movie,":[26],"music).":[28],"The":[29],"main":[30],"motivation":[31],"of":[32,91],"this":[33,58],"work":[34],"is":[35],"to":[36,56,69,73],"exploit":[37],"the":[38,48,85],"shared":[39],"intents":[40],"across":[41,88],"different":[42],"intent":[43,104],"combinations":[44],"rather":[45],"than":[46],"treating":[47],"combination":[49],"as":[50],"an":[51],"atomic":[52],"label.":[53],"We":[54],"propose":[55],"achieve":[57],"by":[59],"(1)":[60],"adding":[61,66],"class":[62],"features,":[63],"(2)":[65],"hid-den":[67],"variables":[68],"identify":[70],"segments":[71],"belonging":[72],"each":[74],"intent.":[75],"Ex-perimental":[76],"results":[77],"demonstrate":[78],"significant":[79],"gains":[80],"accuracy":[83],"over":[84],"baseline":[86],"methods":[87],"number":[90],"training":[92],"conditions":[93],"(3%-8":[94],"%":[95],"absolute":[96,101],"on":[97,102],"multi-intent":[98],"sentences,":[99],"2%-3%":[100],"sentences).":[105],"Index":[106],"Terms:":[107],"spoken":[108],"understanding,":[110],"semantic":[111],"classi-fication,":[112],"hidden":[113],"variable":[114],"models":[115]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}