{"id":"https://openalex.org/W2111029734","doi":"https://doi.org/10.3115/v1/w14-1615","title":"Weakly-Supervised Bayesian Learning of a CCG Supertagger","display_name":"Weakly-Supervised Bayesian Learning of a CCG Supertagger","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2111029734","doi":"https://doi.org/10.3115/v1/w14-1615","mag":"2111029734"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-1615","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1615","pdf_url":"https://aclanthology.org/W14-1615.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 Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-1615.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087636608","display_name":"Dan Garrette","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Garrette","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Austin","University of Texas at Austin#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin#TAB#","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111222692","display_name":"Chris Dyer","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Dyer","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048931310","display_name":"Jason Baldridge","orcid":"https://orcid.org/0000-0002-4712-1841"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Baldridge","raw_affiliation_strings":["Department of Linguistics, The University of Texas at Austin","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah A. Smith","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University","University of Texas at Austin#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"University of Texas at Austin#TAB#","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8271,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74374896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9940999746322632,"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":0.6604955792427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6522974371910095},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5987634062767029},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4629771113395691},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42770716547966003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0874667763710022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604955792427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6522974371910095},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5987634062767029},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4629771113395691},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42770716547966003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0874667763710022}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3115/v1/w14-1615","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1615","pdf_url":"https://aclanthology.org/W14-1615.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 Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:lti-1164","is_oa":false,"landing_page_url":"http://repository.cmu.edu/lti/152","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Language Technologies Institute","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6473852","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.456.1584","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.1584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~nasmith/papers/garrette+dyer+baldridge+smith.conll14.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.648.7491","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.648.7491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/~dhg/papers/garrette_dyer_baldridge_smith_conll2014.pdf","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/6473852","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Weakly-Supervised_Bayesian_Learning_of_a_CCG_Supertagger/6473852","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.1184/r1/6473852.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6473852.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-1615","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1615","pdf_url":"https://aclanthology.org/W14-1615.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 Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1457556245","display_name":null,"funder_award_id":"EIA-0303609","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5532095396","display_name":"RI:  Mastodon: A Large-Memory, High-Throughput Simulation Infrastructure","funder_award_id":"0303609","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2111029734.pdf","grobid_xml":"https://content.openalex.org/works/W2111029734.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W151510299","https://openalex.org/W178622196","https://openalex.org/W1491175367","https://openalex.org/W1496189301","https://openalex.org/W1502742190","https://openalex.org/W1528941926","https://openalex.org/W1551324301","https://openalex.org/W1567277581","https://openalex.org/W1570013475","https://openalex.org/W1632114991","https://openalex.org/W1857937273","https://openalex.org/W1909733559","https://openalex.org/W1970621740","https://openalex.org/W2045344178","https://openalex.org/W2096204319","https://openalex.org/W2099873701","https://openalex.org/W2100796029","https://openalex.org/W2104441213","https://openalex.org/W2109787011","https://openalex.org/W2110800741","https://openalex.org/W2112861996","https://openalex.org/W2114955371","https://openalex.org/W2117217843","https://openalex.org/W2121448470","https://openalex.org/W2126449874","https://openalex.org/W2137807925","https://openalex.org/W2140460010","https://openalex.org/W2142523187","https://openalex.org/W2159636675","https://openalex.org/W2162302090","https://openalex.org/W2168199177","https://openalex.org/W2169895393","https://openalex.org/W2787302947","https://openalex.org/W4388071077","https://openalex.org/W4400137299"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"We":[0,18],"present":[1],"a":[2,9,25,110],"Bayesian":[3],"formulation":[4],"for":[5],"weakly-supervised":[6],"learning":[7],"of":[8,24,34,66],"Combinatory":[10],"Categorial":[11],"Grammar":[12],"(CCG)":[13],"supertagger":[14],"with":[15,99],"an":[16,87],"HMM.":[17],"assume":[19],"supervision":[20],"in":[21],"the":[22,32,67,97],"form":[23],"tag":[26,111],"dictionary,":[27],"and":[28,109],"our":[29],"prior":[30,54,98],"encourages":[31],"use":[33],"crosslinguistically":[35],"common":[36],"category":[37],"structures":[38],"as":[39,41],"well":[40],"transitions":[42],"between":[43],"tags":[44],"that":[45,73,81,102],"can":[46],"combine":[47],"locally":[48],"according":[49],"to":[50,85],"CCG's":[51],"combinators.":[52],"Our":[53],"is":[55,60,103],"theoretically":[56],"appealing":[57],"since":[58],"it":[59,74],"motivated":[61],"by":[62,94],"languageindependent,":[63],"universal":[64],"properties":[65],"CCG":[68],"formalism.":[69],"Empirically,":[70],"we":[71],"show":[72],"yields":[75],"substantial":[76],"improvements":[77],"over":[78],"previous":[79],"work":[80],"used":[82],"similar":[83],"biases":[84],"initialize":[86],"EM-based":[88],"learner.":[89],"Additional":[90],"gains":[91],"are":[92],"obtained":[93],"further":[95],"shaping":[96],"corpus-specific":[100],"information":[101],"extracted":[104],"automatically":[105],"from":[106],"raw":[107],"text":[108],"dictionary.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}