{"id":"https://openalex.org/W2985074250","doi":"https://doi.org/10.18653/v1/k19-1051","title":"KnowSemLM: A Knowledge Infused Semantic Language Model","display_name":"KnowSemLM: A Knowledge Infused Semantic Language Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2985074250","doi":"https://doi.org/10.18653/v1/k19-1051","mag":"2985074250"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k19-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1051","pdf_url":"https://www.aclweb.org/anthology/K19-1051.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K19-1051.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026924151","display_name":"Haoruo Peng","orcid":"https://orcid.org/0000-0002-0934-1499"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haoruo Peng","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102910907","display_name":"Qiang Ning","orcid":"https://orcid.org/0000-0001-7235-018X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Ning","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023802054","display_name":"Dan Roth","orcid":"https://orcid.org/0009-0002-1447-5173"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Roth","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","University of Pennsylvania, Philadelphia, PA 19104, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA 19104, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026924151"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":1.8786,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89631787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"550","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9944999814033508,"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":0.8110988140106201},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6791205406188965},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6461029052734375},{"id":"https://openalex.org/keywords/referent","display_name":"Referent","score":0.6386585235595703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5847605466842651},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5548287630081177},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47423359751701355},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.44793829321861267},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.4438972771167755},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.438951700925827},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.43182143568992615},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4187106192111969},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.20385608077049255},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18786928057670593},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12398296594619751},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11188149452209473},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.08149543404579163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110988140106201},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6791205406188965},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6461029052734375},{"id":"https://openalex.org/C2777096784","wikidata":"https://www.wikidata.org/wiki/Q3826351","display_name":"Referent","level":2,"score":0.6386585235595703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5847605466842651},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5548287630081177},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47423359751701355},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.44793829321861267},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.4438972771167755},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.438951700925827},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.43182143568992615},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4187106192111969},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.20385608077049255},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18786928057670593},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12398296594619751},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11188149452209473},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.08149543404579163},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/k19-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1051","pdf_url":"https://www.aclweb.org/anthology/K19-1051.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/k19-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1051","pdf_url":"https://www.aclweb.org/anthology/K19-1051.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G211012689","display_name":null,"funder_award_id":"HR0011-15-C-0113","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320316786","display_name":"Center for Cognitive Computing Systems Research","ror":null},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2985074250.pdf","grobid_xml":"https://content.openalex.org/works/W2985074250.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W1523160384","https://openalex.org/W1614298861","https://openalex.org/W1702669762","https://openalex.org/W1825628421","https://openalex.org/W1991018417","https://openalex.org/W2000900121","https://openalex.org/W2048968173","https://openalex.org/W2091812280","https://openalex.org/W2097732278","https://openalex.org/W2098844768","https://openalex.org/W2103095311","https://openalex.org/W2117130368","https://openalex.org/W2127194753","https://openalex.org/W2129272839","https://openalex.org/W2129615653","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2142269169","https://openalex.org/W2145374219","https://openalex.org/W2151295812","https://openalex.org/W2152345753","https://openalex.org/W2157003655","https://openalex.org/W2158899491","https://openalex.org/W2165516035","https://openalex.org/W2165962657","https://openalex.org/W2169943035","https://openalex.org/W2185115617","https://openalex.org/W2211728022","https://openalex.org/W2250189634","https://openalex.org/W2250506749","https://openalex.org/W2250544821","https://openalex.org/W2250738489","https://openalex.org/W2250836735","https://openalex.org/W2251344056","https://openalex.org/W2252052418","https://openalex.org/W2252139350","https://openalex.org/W2252215150","https://openalex.org/W2257051837","https://openalex.org/W2296266385","https://openalex.org/W2335559472","https://openalex.org/W2466175319","https://openalex.org/W2475245295","https://openalex.org/W2476140796","https://openalex.org/W2562564313","https://openalex.org/W2563017805","https://openalex.org/W2566266660","https://openalex.org/W2571726121","https://openalex.org/W2571747590","https://openalex.org/W2578412240","https://openalex.org/W2593847145","https://openalex.org/W2692059227","https://openalex.org/W2739505524","https://openalex.org/W2739992537","https://openalex.org/W2741200275","https://openalex.org/W2758362814","https://openalex.org/W2758815496","https://openalex.org/W2760579680","https://openalex.org/W2803267010","https://openalex.org/W2806070455","https://openalex.org/W2896457183","https://openalex.org/W2949875129","https://openalex.org/W2952230511","https://openalex.org/W2962841164","https://openalex.org/W2963097991","https://openalex.org/W2963217826","https://openalex.org/W2963247627","https://openalex.org/W2963290255","https://openalex.org/W2963341956","https://openalex.org/W2963498218","https://openalex.org/W2963655793","https://openalex.org/W2963838094","https://openalex.org/W2963925965","https://openalex.org/W2964028591","https://openalex.org/W2964308564","https://openalex.org/W2970597249","https://openalex.org/W2998704965","https://openalex.org/W3099987284","https://openalex.org/W4239966930","https://openalex.org/W4285719527","https://openalex.org/W4293547730"],"related_works":["https://openalex.org/W4312888689","https://openalex.org/W4214676068","https://openalex.org/W2004393819","https://openalex.org/W2094752121","https://openalex.org/W2119430799","https://openalex.org/W2387537985","https://openalex.org/W2060927588","https://openalex.org/W102651279","https://openalex.org/W2024782743","https://openalex.org/W2998586603"],"abstract_inverted_index":{"Prior":[0],"knowledge":[1,42,53,81],"-both":[2],"statistical":[3],"and":[4,30,59,62,89,91,103],"declarative":[5],"-is":[6],"essential":[7],"in":[8],"guiding":[9],"such":[10],"expectations.":[11],"While":[12],"existing":[13],"semantic":[14,27,32,84],"language":[15],"models":[16],"(SemLM)":[17],"capture":[18],"event":[19,24,45,100],"co-occurrence":[20],"information":[21],"by":[22,86],"modeling":[23],"sequences":[25],"as":[26],"frames,":[28],"entities,":[29],"other":[31],"units,":[33],"this":[34,80],"paper":[35],"aims":[36],"at":[37,56],"augmenting":[38],"them":[39],"with":[40],"causal":[41],"(i.e.,":[43],"one":[44],"is":[46,54,92],"likely":[47],"to":[48,50,94],"lead":[49],"another).":[51],"Such":[52],"modeled":[55],"the":[57,99],"frame":[58],"entity":[60],"level,":[61],"can":[63],"be":[64,95],"obtained":[65],"either":[66],"statistically":[67],"from":[68],"text":[69],"or":[70],"stated":[71],"declaratively.":[72],"The":[73],"proposed":[74],"method,":[75],"KnowSemLM":[76],"1":[77],",":[78],"infuses":[79],"into":[82],"a":[83],"LM":[85],"joint":[87],"training":[88],"inference,":[90],"shown":[93],"effective":[96],"on":[97],"both":[98],"cloze":[101],"test":[102],"story/referent":[104],"prediction":[105],"tasks.":[106]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
