{"id":"https://openalex.org/W7220808657","doi":null,"title":"Association knowledge in natural language learning","display_name":"Association knowledge in natural language learning","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W7220808657"},"language":"en","primary_location":{"id":"pmh:oai:www.ideals.illinois.edu:2142/127164","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2142/127164","pdf_url":"https://www.ideals.illinois.edu/items/134236/bitstreams/442112/data.pdf","source":{"id":"https://openalex.org/S4306401358","display_name":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801919071","host_organization_name":"University of Illinois System","host_organization_lineage":["https://openalex.org/I2801919071"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ideals.illinois.edu/items/134236/bitstreams/442112/data.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135725458","display_name":"Pengfei Yu","orcid":"https://orcid.org/0000-0002-2094-1671","observed_orcids":["https://orcid.org/0000-0002-2094-1671"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu, Pengfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5135725458"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":0.8628000020980835,"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":0.8628000020980835,"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":0.13199999928474426,"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":0.0010999999940395355,"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/concept-association","display_name":"concept association","score":0.7260000109672546},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.75},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"lifelong learning","score":0.7739999890327454},{"id":"https://openalex.org/keywords/event-detection","display_name":"event detection","score":0.8539999723434448},{"id":"https://openalex.org/keywords/cross-lingual-translation","display_name":"cross-lingual translation","score":0.9959999918937683}],"concepts":[{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5202999711036682},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46309998631477356},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46149998903274536},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.45010000467300415},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4009000062942505},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:www.ideals.illinois.edu:2142/127164","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2142/127164","pdf_url":"https://www.ideals.illinois.edu/items/134236/bitstreams/442112/data.pdf","source":{"id":"https://openalex.org/S4306401358","display_name":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801919071","host_organization_name":"University of Illinois System","host_organization_lineage":["https://openalex.org/I2801919071"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:www.ideals.illinois.edu:2142/127164","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2142/127164","pdf_url":"https://www.ideals.illinois.edu/items/134236/bitstreams/442112/data.pdf","source":{"id":"https://openalex.org/S4306401358","display_name":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801919071","host_organization_name":"University of Illinois System","host_organization_lineage":["https://openalex.org/I2801919071"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332222","display_name":"University of Illinois at Urbana-Champaign","ror":"https://ror.org/047426m28"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220808657.pdf","grobid_xml":"https://content.openalex.org/works/W7220808657.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W1821462560","https://openalex.org/W1997865285","https://openalex.org/W2126725946","https://openalex.org/W2404287312","https://openalex.org/W2473930607","https://openalex.org/W2554863749","https://openalex.org/W2560647685","https://openalex.org/W2605135824","https://openalex.org/W2769280657","https://openalex.org/W2922466325","https://openalex.org/W2963351448","https://openalex.org/W2971139875","https://openalex.org/W2984941342","https://openalex.org/W2988841832","https://openalex.org/W3007041883","https://openalex.org/W3009499121","https://openalex.org/W3030163527","https://openalex.org/W3032949543","https://openalex.org/W3037567775","https://openalex.org/W3102483398","https://openalex.org/W3106098584","https://openalex.org/W3107969673","https://openalex.org/W3154575616","https://openalex.org/W3168481568","https://openalex.org/W3168867926","https://openalex.org/W3206867351","https://openalex.org/W3213566588","https://openalex.org/W3213712516","https://openalex.org/W3216037316","https://openalex.org/W3217006289","https://openalex.org/W4239510810","https://openalex.org/W4247686858","https://openalex.org/W4302305884","https://openalex.org/W4306313145","https://openalex.org/W4307079201","https://openalex.org/W4322718191","https://openalex.org/W4327810158","https://openalex.org/W4378945185","https://openalex.org/W4385849354","https://openalex.org/W4388585315","https://openalex.org/W4389519070","https://openalex.org/W4389519586","https://openalex.org/W4390872747","https://openalex.org/W4393065402","https://openalex.org/W4393147125","https://openalex.org/W4393152647","https://openalex.org/W4394743141","https://openalex.org/W7133214447","https://openalex.org/W7133236469"],"related_works":["https://openalex.org/W7220760640","https://openalex.org/W7220801385","https://openalex.org/W4207054502","https://openalex.org/W7220750779","https://openalex.org/W4400543848","https://openalex.org/W2268532256","https://openalex.org/W7220812376","https://openalex.org/W51006401","https://openalex.org/W7220802998","https://openalex.org/W7100887981"],"abstract_inverted_index":{"Association":[0,77,106,146,199],"is":[1,17,29,46,159],"an":[2],"important":[3],"feature":[4],"of":[5,25,35,76,86,101,111,121,181,198,205],"natural":[6,26,36,65],"language":[7,37,137,190],"originates":[8],"from":[9,164],"the":[10,18,22,33,40,69,74,80,84,98,179,186,195,203],"human's":[11],"cognitive":[12],"ability":[13],"to":[14,20,32,93,177],"associate":[15],"concepts.It":[16],"key":[19],"unveiling":[21],"computational":[23],"mechanism":[24],"language,":[27],"which":[28,45],"closely":[30],"related":[31],"research":[34],"processing":[38],"(NLP).However,":[39],"current":[41],"dominant":[42],"learning":[43,170],"paradigm,":[44],"based":[47],"on":[48],"neural":[49,102,133,149,213],"models":[50,134],"that":[51,143],"combine":[52],"distributed":[53],"representations":[54],"with":[55],"probabilistic":[56],"modeling,":[57],"demonstrates":[58],"insufficient":[59],"capabilities":[60],"in":[61,64,161,168,188,201],"modeling":[62],"associations":[63,118],"language.To":[66],"compensate":[67],"for":[68],"deficiency,":[70],"we":[71,141],"mathematically":[72],"formulate":[73],"concept":[75],"Knowledge":[78,107,147,200],"as":[79],"joint":[81],"distribution":[82],"over":[83],"probabilities":[85],"instances":[87,124],"and":[88,125,135,155,172,184,211],"establish":[89],"a":[90,109],"general":[91],"methodology":[92],"incorporate":[94],"association":[95],"knowledge":[96],"into":[97,105,148],"training":[99],"architecture":[100],"models.We":[103],"delve":[104],"through":[108],"series":[110],"case":[112,128],"studies":[113,129],"across":[114],"various":[115],"dimensions,":[116],"including":[117],"among":[119],"types":[120],"knowledge,":[122],"languages,":[123],"unstructured":[126],"information.These":[127],"span":[130],"both":[131],"smaller":[132],"large":[136,189],"models.Through":[138],"our":[139,192],"investigations,":[140],"demonstrate":[142],"explicitly":[144],"integrating":[145],"architectures":[150],"markedly":[151],"improves":[152],"model":[153],"performance":[154],"efficiency.This":[156],"enhanced":[157],"capability":[158],"evident":[160],"diverse":[162],"scenarios,":[163],"improving":[165],"event":[166],"detection":[167,180],"lifelong":[169],"settings":[171],"facilitating":[173],"robust":[174,210],"cross-lingual":[175],"translations,":[176],"enhancing":[178],"long-tail":[182],"mentions":[183],"refining":[185],"updates":[187],"models.Collectively,":[191],"findings":[193],"underscore":[194],"pivotal":[196],"role":[197],"advancing":[202],"state":[204],"NLP":[206],"by":[207],"fostering":[208],"more":[209],"knowledge-aware":[212],"models.vi":[214]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-07T00:00:00"}