{"id":"https://openalex.org/W7098914532","doi":null,"title":"Second Author Affiliation / Address line 1 Affiliation / Address line 2","display_name":"Second Author Affiliation / Address line 1 Affiliation / Address line 2","publication_year":2012,"publication_date":"2012-03-10","ids":{"openalex":"https://openalex.org/W7098914532"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.2291","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.2291","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/%7Enlao/doc/emnlp.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143090887","display_name":"Affiliation Address Line","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Affiliation Address Line","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013277522","display_name":"Henry S. Thompson","orcid":"https://orcid.org/0000-0001-5490-1347","observed_orcids":["https://orcid.org/0000-0001-5490-1347"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Henry S. Thompson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5142639529","display_name":"Donald Walker","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donald Walker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010124873","display_name":"Regina Barzilay","orcid":"https://orcid.org/0000-0002-2921-8201","observed_orcids":["https://orcid.org/0000-0002-2921-8201"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Regina Barzilay","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57149818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11567","display_name":"semigroups and automata theory","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/probabilistic-context-free-grammars","display_name":"probabilistic context-free grammars","score":0.9120000004768372},{"id":"https://openalex.org/keywords/unsupervised-grammar-induction","display_name":"unsupervised grammar induction","score":0.9589999914169312},{"id":"https://openalex.org/keywords/context-free-grammars","display_name":"context-free grammars","score":0.7099999785423279},{"id":"https://openalex.org/keywords/unsupervised-parsing","display_name":"unsupervised parsing","score":0.8799999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508000135421753},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7064999938011169},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.641700029373169},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6129000186920166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597100019454956},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5566999912261963},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C67621940","wikidata":"https://www.wikidata.org/wiki/Q3113340","display_name":"L-attributed grammar","level":4,"score":0.3555000126361847},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2987000048160553},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C199624470","wikidata":"https://www.wikidata.org/wiki/Q2377216","display_name":"Stochastic context-free grammar","level":5,"score":0.2833000123500824},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C56601403","wikidata":"https://www.wikidata.org/wiki/Q5593673","display_name":"Grammar induction","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C146810361","wikidata":"https://www.wikidata.org/wiki/Q32271","display_name":"Parsing expression grammar","level":5,"score":0.2590999901294708},{"id":"https://openalex.org/C97212296","wikidata":"https://www.wikidata.org/wiki/Q338047","display_name":"Context-free grammar","level":3,"score":0.257999986410141}],"mesh":[],"locations_count":8,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.2291","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.2291","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/%7Enlao/doc/emnlp.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.403.5237","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.403.5237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.jhu.edu/ACL2014/acl2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.3920","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.3920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pagesperso.lina.univ-nantes.fr/%7Ecdlh/papers/EMNLP2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.4657","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.4657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl2015.org/files/acl2015.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.680.1902","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.1902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lang.cs.tut.ac.jp/ijcnlp2013/common/files/ijcnlp2013.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.681.9701","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.9701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.acl2013.org/site/Latex/acl2013.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.1756","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.1756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bcmi.sjtu.edu.cn/%7Epaclic29/template/paclic29.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.891.2274","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.891.2274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://infoscience.epfl.ch/record/209104/files/Pu_ACL-IJCNLPSRW2015_2015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2095791754","https://openalex.org/W2552529732","https://openalex.org/W6966937660","https://openalex.org/W2107548906","https://openalex.org/W2159076261","https://openalex.org/W2996475646","https://openalex.org/W7098626563","https://openalex.org/W2018669440","https://openalex.org/W2965013899","https://openalex.org/W2115407249"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,5,14,19,45,68,104,114,119],"unsupervised":[3,132],"induction":[4,60],"probabilistic":[6],"context-free":[7,79],"grammars":[8,76,88,105],"(PCFGs)":[9],"has":[10],"attracted":[11],"a":[12,25,55,63],"lot":[13],"attention":[15],"in":[16,29,36,111,131],"the":[17,43,102,129,135],"field":[18],"computational":[20],"linguistics.":[21],"Although":[22],"it":[23,39],"is":[24,32],"difficult":[26],"task,":[27],"work":[28,85],"this":[30,51,82],"area":[31],"still":[33],"very":[34],"much":[35],"demand":[37],"since":[38],"can":[40,84,126],"contribute":[41],"to":[42],"advancement":[44],"language":[46,75],"parsing":[47,133],"and":[48,66,77,89,91],"modelling.":[49],"In":[50],"work,":[52],"we":[53],"describe":[54],"new":[56],"algorithm":[57,83,109,125],"for":[58],"PCFG":[59],"based":[61],"on":[62,86,134],"principled":[64],"approach":[65],"capable":[67,113],"inducing":[69],"accurate":[70],"yet":[71],"compact":[72],"artificial":[73],"natural":[74,116],"typical":[78],"gram-mars.":[80],"Moreover,":[81],"large":[87],"datasets":[90],"infers":[92],"correctly":[93],"even":[94],"from":[95],"small":[96],"samples.":[97],"Our":[98],"analysis":[99],"shows":[100,122],"that":[101,123],"type":[103],"induced":[106],"by":[107],"our":[108,120,124],"are,":[110],"theory,":[112],"modelling":[115],"language.":[117],"One":[118],"experiments":[121],"potentially":[127],"outperform":[128],"state-of-the-art":[130],"WSJ10":[136],"corpus.":[137],"1":[138]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-27T00:00:00"}