{"id":"https://openalex.org/W7154773910","doi":"https://doi.org/10.48550/arxiv.2604.14489","title":"CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling","display_name":"CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154773910","doi":"https://doi.org/10.48550/arxiv.2604.14489"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.14489","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14489","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.14489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120412036","display_name":"Karthik Singaravadivelan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singaravadivelan, Karthik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133890023","display_name":"Anant Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Anant","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133884734","display_name":"Zekun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zekun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5018988933","display_name":"Christopher Maclellan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MacLellan, Christopher J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10028","display_name":"Topic Modeling","score":0.26339998841285706,"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":0.26339998841285706,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.23909999430179596,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.1412000060081482,"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/topic-model","display_name":"Topic model","score":0.7555000185966492},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7218999862670898},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7141000032424927},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5497000217437744},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5034999847412109},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4016000032424927},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.38659998774528503},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.3610000014305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623000144958496},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7555000185966492},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7218999862670898},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7141000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6593999862670898},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5497000217437744},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39629998803138733},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2780217385","wikidata":"https://www.wikidata.org/wiki/Q2389284","display_name":"Hierarchical organization","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26460000872612},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.14489","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14489","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.14489","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14489","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Topic":[0],"modeling":[1],"seeks":[2],"to":[3,29,43,66,120],"uncover":[4],"latent":[5],"semantic":[6,72],"structure":[7],"in":[8],"text":[9],"corpora":[10],"with":[11,25,113],"minimal":[12],"supervision.":[13],"Neural":[14],"approaches":[15],"achieve":[16],"strong":[17,96],"performance":[18],"but":[19],"require":[20],"extensive":[21],"tuning":[22],"and":[23,32,41,82,103],"struggle":[24],"lifelong":[26,51],"learning":[27],"due":[28],"catastrophic":[30],"forgetting":[31],"fixed":[33],"capacity,":[34],"while":[35],"classical":[36],"probabilistic":[37,58],"models":[38],"lack":[39],"flexibility":[40],"adaptability":[42],"streaming":[44],"data.":[45],"We":[46],"introduce":[47],"CobwebTM,":[48],"a":[49],"low-parameter":[50],"hierarchical":[52,83],"topic":[53,77,80,97,121],"model":[54],"based":[55],"on":[56],"incremental":[57,108],"concept":[59,110],"formation.":[60],"By":[61],"adapting":[62],"the":[63,87],"Cobweb":[64],"algorithm":[65],"continuous":[67],"document":[68],"embeddings,":[69],"CobwebTM":[70,94],"constructs":[71],"hierarchies":[73],"online,":[74],"enabling":[75],"unsupervised":[76],"discovery,":[78],"dynamic":[79],"creation,":[81],"organization":[84],"without":[85],"predefining":[86],"number":[88],"of":[89],"topics.":[90],"Across":[91],"diverse":[92],"datasets,":[93],"achieves":[95],"coherence,":[98],"stable":[99],"topics":[100],"over":[101],"time,":[102],"high-quality":[104],"hierarchies,":[105],"demonstrating":[106],"that":[107],"symbolic":[109],"formation":[111],"combined":[112],"pretrained":[114],"representations":[115],"is":[116],"an":[117],"efficient":[118],"approach":[119],"modeling.":[122]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-18T00:00:00"}