{"id":"https://openalex.org/W3090526225","doi":"https://doi.org/10.3233/faia200324","title":"Improving Document Classification with Multi-Sense Embeddings","display_name":"Improving Document Classification with Multi-Sense Embeddings","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3090526225","doi":"https://doi.org/10.3233/faia200324","mag":"3090526225"},"language":"en","primary_location":{"id":"doi:10.3233/faia200324","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200324","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia200324","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103989973","display_name":"Vivek Gupta","orcid":"https://orcid.org/0000-0003-4129-6648"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gupta Vivek","raw_affiliation_strings":["University of Utah, Salt Lake City, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, United States","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kumar Ankit","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumar Ankit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031180836","display_name":"Pegah Nokhiz","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nokhiz Pegah","raw_affiliation_strings":["University of Utah, Salt Lake City, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, United States","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454781","display_name":"Harshit Gupta","orcid":"https://orcid.org/0000-0002-4260-9450"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gupta Harshit","raw_affiliation_strings":["Indian Institute of Technology Guwahati, Guwahati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":null,"display_name":"Talukdar Partha","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Talukdar Partha","raw_affiliation_strings":["Indian Institute of Science Bangalore, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science Bangalore, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4008,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8472201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.963100016117096,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.963100016117096,"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/sense","display_name":"Sense (electronics)","score":0.5090450644493103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41975340247154236},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32290974259376526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1088101863861084}],"concepts":[{"id":"https://openalex.org/C143141573","wikidata":"https://www.wikidata.org/wiki/Q7450971","display_name":"Sense (electronics)","level":2,"score":0.5090450644493103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41975340247154236},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32290974259376526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1088101863861084},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia200324","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200324","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia200324","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200324","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4385542742","https://openalex.org/W4396701345","https://openalex.org/W2037111888","https://openalex.org/W3170014661"],"abstract_inverted_index":{"Efficient":[0],"representation":[1,30],"of":[2,25,64,73,130],"text":[3,17,117],"documents":[4,51],"is":[5],"an":[6],"important":[7],"building":[8],"block":[9],"in":[10,128],"many":[11],"NLP":[12],"tasks.":[13,119,138],"Research":[14],"on":[15,100,113,135],"long":[16],"categorization":[18,118],"has":[19],"shown":[20],"that":[21,106],"simple":[22],"weighted":[23],"averaging":[24],"word":[26,56,89],"vectors":[27],"for":[28],"sentence":[29],"often":[31],"outperforms":[32],"more":[33,124],"sophisticated":[34],"neural":[35],"models.":[36],"Recently":[37],"proposed":[38],"Sparse":[39],"Composite":[40],"Document":[41],"Vector":[42],"(SCDV)":[43],"[32]":[44],"extends":[45],"this":[46,77],"approach":[47],"from":[48,70],"sentences":[49],"to":[50],"using":[52],"soft":[53],"clustering":[54],"over":[55],"vectors.":[57],"However,":[58],"SCDV":[59,127],"disregards":[60],"the":[61,71,146],"multi-sense":[62,88],"nature":[63],"words,":[65],"and":[66,83,91,115,132],"it":[67],"also":[68],"suffers":[69],"curse":[72],"higher":[74],"dimensionality.":[75],"In":[76],"work,":[78],"we":[79,104],"address":[80],"these":[81],"shortcomings":[82],"propose":[84],"SCDV-MS.":[85],"SCDV-MS":[86,107,121,142],"utilizes":[87],"embeddings":[90,108,112,122],"learns":[92],"a":[93],"lower":[94],"dimensional":[95],"manifold.":[96],"Through":[97],"extensive":[98],"experiments":[99],"multiple":[101],"real-world":[102],"datasets,":[103],"show":[105],"outperform":[109],"previous":[110],"state-of-the-art":[111],"multi-class":[114],"multi-label":[116],"Furthermore,":[120],"are":[123],"efficient":[125],"than":[126],"terms":[129],"time":[131],"space":[133],"complexity":[134],"textual":[136],"classification":[137],"We":[139],"have":[140],"released":[141],"source":[143],"code":[144],"with":[145],"paper.":[147],"(https://github.com/vgupta123/SCDV-MS)":[148]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-10-08T00:00:00"}
