{"id":"https://openalex.org/W4390906172","doi":"https://doi.org/10.1109/tkde.2024.3354504","title":"TagRec++: Hierarchical Label Aware Attention Network for Question Categorization","display_name":"TagRec++: Hierarchical Label Aware Attention Network for Question Categorization","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390906172","doi":"https://doi.org/10.1109/tkde.2024.3354504"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3354504","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tkde.2024.3354504","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5085585789","display_name":"V Venktesh","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Venktesh V","raw_affiliation_strings":["Tu Delft, Delft, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5885-2175","affiliations":[{"raw_affiliation_string":"Tu Delft, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047987914","display_name":"Mukesh Mohania","orcid":"https://orcid.org/0000-0003-4429-1412"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mukesh Mohania","raw_affiliation_strings":["Department of CSE, IIIT-Delhi, New Delhi, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0003-4429-1412","affiliations":[{"raw_affiliation_string":"Department of CSE, IIIT-Delhi, New Delhi, Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035621906","display_name":"Vikram Goyal","orcid":"https://orcid.org/0000-0003-0769-6381"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["IN","NL"],"is_corresponding":false,"raw_author_name":"Vikram Goyal","raw_affiliation_strings":["Department of CSE, IIIT-Delhi, New Delhi, Delhi, India","Tu Delft, Delft, Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-0769-6381","affiliations":[{"raw_affiliation_string":"Department of CSE, IIIT-Delhi, New Delhi, Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"Tu Delft, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68202209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"36","issue":"7","first_page":"3529","last_page":"3540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9937999844551086,"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":0.8239282369613647},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6032556891441345},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5951035618782043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5359879732131958},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5078101754188538},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47894150018692017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4082682430744171},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32405781745910645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239282369613647},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6032556891441345},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5951035618782043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5359879732131958},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5078101754188538},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47894150018692017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4082682430744171},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32405781745910645},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3354504","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tkde.2024.3354504","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W55829577","https://openalex.org/W2005422315","https://openalex.org/W2166912588","https://openalex.org/W2250539671","https://openalex.org/W2293569829","https://openalex.org/W2605035112","https://openalex.org/W2606101940","https://openalex.org/W2621169022","https://openalex.org/W2790662531","https://openalex.org/W2800791174","https://openalex.org/W2804847616","https://openalex.org/W2890394457","https://openalex.org/W2891177506","https://openalex.org/W2891369851","https://openalex.org/W2896457183","https://openalex.org/W2912090347","https://openalex.org/W2913443447","https://openalex.org/W2970641574","https://openalex.org/W2982596739","https://openalex.org/W3007672467","https://openalex.org/W3036320503","https://openalex.org/W3044445863","https://openalex.org/W3094444847","https://openalex.org/W3098468692","https://openalex.org/W3118668786","https://openalex.org/W3184776482","https://openalex.org/W3203089799","https://openalex.org/W4287725215","https://openalex.org/W4294170691","https://openalex.org/W4312839074","https://openalex.org/W4320465836","https://openalex.org/W6678470764","https://openalex.org/W6717827561","https://openalex.org/W6736534893","https://openalex.org/W6752777090","https://openalex.org/W6759093088","https://openalex.org/W6762242732","https://openalex.org/W6764295603","https://openalex.org/W6767158838","https://openalex.org/W6769185743","https://openalex.org/W6774222543","https://openalex.org/W6779304510","https://openalex.org/W6779568464","https://openalex.org/W6779872132","https://openalex.org/W6780234722","https://openalex.org/W6780333223","https://openalex.org/W6784365537","https://openalex.org/W6842670053","https://openalex.org/W6850138286"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2354233396"],"abstract_inverted_index":{"Online":[0],"learning":[1,122,186],"systems":[2,21],"have":[3],"multiple":[4],"data":[5],"repositories":[6],"in":[7,65,71],"the":[8,23,44,59,63,66,69,72,93,97,106,126,143,146,150,167,173],"form":[9],"of":[10,18,31,40,132,149,199,206],"transcripts,":[11],"books":[12],"and":[13,68,121,135,185,203],"questions.":[14],"To":[15,91],"enable":[16],"ease":[17],"access,":[19],"such":[20],"organize":[22],"content":[24,187],"according":[25],"to":[26,43,104,141,209,211],"a":[27,51,100,130],"well":[28],"defined":[29],"taxonomy":[30],"hierarchical":[32,45,73,108,127],"nature":[33],"(subject":[34],"-":[35],"chapter":[36],"-topic).":[37],"The":[38],"task":[39,98],"categorizing":[41,119],"inputs":[42],"labels":[46,109,128],"is":[47],"usually":[48],"cast":[49],"as":[50,89,99,129,166,189],"flat":[52],"multi-class":[53],"classification":[54],"problem.":[55],"Such":[56],"approaches":[57,76,182],"ignore":[58],"semantic":[60],"relatedness":[61],"between":[62],"terms":[64],"input":[67],"tokens":[70,134],"labels.":[74,90],"Alternate":[75],"also":[77,153],"suffer":[78],"from":[79],"class":[80],"imbalance":[81],"when":[82],"they":[83],"only":[84],"consider":[85],"leaf":[86],"level":[87],"nodes":[88],"tackle":[92],"issues,":[94],"we":[95,116,195],"formulate":[96],"dense":[101],"retrieval":[102],"problem":[103],"retrieve":[105],"appropriate":[107],"for":[110],"each":[111],"content.":[112,123,151],"In":[113,193],"this":[114],"paper,":[115],"deal":[117],"with":[118,145],"questions":[120],"We":[124,152,170],"model":[125],"composition":[131],"their":[133],"use":[136],"an":[137,155],"efficient":[138],"cross-attention":[139],"mechanism":[140],"fuse":[142],"information":[144],"term":[147],"representations":[148],"adopt":[154],"adaptive":[156],"in-batch":[157],"hard":[158],"negative":[159],"sampling":[160],"approach":[161,175],"which":[162],"samples":[163],"better":[164],"negatives":[165],"training":[168],"progresses.":[169],"demonstrate":[171,196],"that":[172],"proposed":[174],"<italic":[176,200],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[177,201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">TagRec++</i>":[178,202],"outperforms":[179],"existing":[180],"state-of-the-art":[181],"on":[183],"question":[184],"datasets":[188],"measured":[190],"by":[191],"Recall@k.":[192],"addition,":[194],"zero-shot":[197],"capabilities":[198],"preliminary":[204],"analysis":[205],"it's":[207],"ability":[208],"adapt":[210],"label":[212],"changes.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}