{"id":"https://openalex.org/W2997992257","doi":"https://doi.org/10.1609/aaai.v34i05.6385","title":"Verb Class Induction with Partial Supervision","display_name":"Verb Class Induction with Partial Supervision","publication_year":2020,"publication_date":"2020-04-03","ids":{"openalex":"https://openalex.org/W2997992257","doi":"https://doi.org/10.1609/aaai.v34i05.6385","mag":"2997992257"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v34i05.6385","doi":"https://doi.org/10.1609/aaai.v34i05.6385","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i05.6385","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v34i05.6385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040653546","display_name":"Daniel W. Peterson","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Peterson","raw_affiliation_strings":["Oracle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oracle","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015929703","display_name":"Susan Windisch Brown","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan Brown","raw_affiliation_strings":["University of Colorado Boulder"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017464054","display_name":"Martha Stone Palmer","orcid":"https://orcid.org/0000-0001-9864-6974","observed_orcids":["https://orcid.org/0000-0001-9864-6974"]},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martha Palmer","raw_affiliation_strings":["University of Colorado Boulder"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1671,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.37198107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"34","issue":"05","first_page":"8616","last_page":"8623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5512999892234802,"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":0.5512999892234802,"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":0.2442999929189682,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.09749999642372131,"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/partial-supervision","display_name":"partial supervision","score":0.7789999842643738},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"latent Dirichlet allocation","score":0.9929999709129333},{"id":"https://openalex.org/keywords/verb-clustering","display_name":"verb clustering","score":0.6940000057220459},{"id":"https://openalex.org/keywords/verbnet","display_name":"VerbNet","score":0.7440000176429749}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8444807529449463},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.7441266775131226},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6911489367485046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882503390312195},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5566224455833435},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5281315445899963},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.503985583782196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.467494398355484},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.43611305952072144},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4165300726890564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3394473195075989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3098321259021759},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17587578296661377},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v34i05.6385","doi":"https://doi.org/10.1609/aaai.v34i05.6385","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i05.6385","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/6385","doi":null,"is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/6385","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/6385/6241","source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v34i05.6385","doi":"https://doi.org/10.1609/aaai.v34i05.6385","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i05.6385","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2997992257.pdf","grobid_xml":"https://content.openalex.org/works/W2997992257.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W75110231","https://openalex.org/W120505476","https://openalex.org/W143586564","https://openalex.org/W188071144","https://openalex.org/W1506246224","https://openalex.org/W1579035156","https://openalex.org/W1608050331","https://openalex.org/W1997833443","https://openalex.org/W2016196732","https://openalex.org/W2040985480","https://openalex.org/W2098062695","https://openalex.org/W2107241511","https://openalex.org/W2109895836","https://openalex.org/W2122683976","https://openalex.org/W2140148956","https://openalex.org/W2150208223","https://openalex.org/W2151373442","https://openalex.org/W2154721769","https://openalex.org/W2158085718","https://openalex.org/W2250642773","https://openalex.org/W2250789641","https://openalex.org/W2251161546","https://openalex.org/W2251681628","https://openalex.org/W2252508855","https://openalex.org/W2461677872","https://openalex.org/W2518530932","https://openalex.org/W2607879133","https://openalex.org/W2756927599","https://openalex.org/W2788456201","https://openalex.org/W2807288631","https://openalex.org/W4230872509","https://openalex.org/W6654773931"],"related_works":["https://openalex.org/W49792935","https://openalex.org/W2788456201","https://openalex.org/W2518530932","https://openalex.org/W206186519","https://openalex.org/W2958295074","https://openalex.org/W4412944965","https://openalex.org/W2052474702","https://openalex.org/W2002373856","https://openalex.org/W2057230177","https://openalex.org/W2119056510"],"abstract_inverted_index":{"Dirichlet-multinomial":[0],"(D-M)":[1],"mixtures":[2,30],"like":[3],"latent":[4],"Dirichlet":[5],"allocation":[6],"(LDA)":[7],"are":[8,96],"widely":[9],"used":[10],"for":[11,31,79,116],"both":[12,72],"topic":[13,118],"modeling":[14,119],"and":[15,35,74],"clustering.":[16,36],"Prior":[17],"work":[18],"on":[19],"constructing":[20],"Levin-style":[21],"semantic":[22],"verb":[23,32],"clusters":[24,43,66,95],"achieves":[25],"state-of-the-art":[26],"results":[27],"using":[28],"D-M":[29],"sense":[33],"induction":[34],"We":[37,57],"add":[38],"a":[39,47,80,109],"bias":[40],"toward":[41],"known":[42],"by":[44,77],"explicitly":[45],"labeling":[46],"small":[48],"number":[49],"of":[50,71],"observations":[51],"with":[52,112],"their":[53],"correct":[54],"VerbNet":[55],"class.":[56],"demonstrate":[58],"that":[59],"this":[60],"partial":[61],"supervision":[62],"guides":[63],"the":[64,69,102],"resulting":[65,94],"effectively,":[67],"improving":[68],"recovery":[70],"labeled":[73],"unlabeled":[75],"classes":[76],"16%,":[78],"joint":[81],"12%":[82],"absolute":[83],"improvement":[84],"in":[85,120],"F1":[86],"score":[87],"compared":[88],"to":[89],"clustering":[90],"without":[91],"supervision.":[92],"The":[93],"also":[97],"more":[98],"semantically":[99],"coherent.":[100],"Although":[101],"technical":[103],"change":[104],"is":[105],"minor,":[106],"it":[107],"produces":[108],"large":[110],"effect,":[111],"important":[113],"practical":[114],"consequences":[115],"supervised":[117],"general.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-01-10T00:00:00"}
