{"id":"https://openalex.org/W3003678146","doi":"https://doi.org/10.5555/1756006.1953031","title":"Inducing Tree-Substitution Grammars","display_name":"Inducing Tree-Substitution Grammars","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W3003678146","doi":"https://doi.org/10.5555/1756006.1953031","mag":"3003678146"},"language":"en","primary_location":{"id":"mag:3003678146","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1756006.1953031","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":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/A5042542782","display_name":"CohnTrevor","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"CohnTrevor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030271487","display_name":"BlunsomPhil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"BlunsomPhil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015649948","display_name":"GoldwaterSharon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"GoldwaterSharon","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":32,"citation_normalized_percentile":{"value":0.40946881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9800000190734863,"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/T13629","display_name":"Text Readability and Simplification","score":0.9394000172615051,"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/substitution","display_name":"Substitution (logic)","score":0.8465752601623535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6362403631210327},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.618537425994873},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6125226616859436},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.6047415733337402},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.55934739112854},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5486151576042175},{"id":"https://openalex.org/keywords/tree-adjoining-grammar","display_name":"Tree-adjoining grammar","score":0.5417386293411255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5037655234336853},{"id":"https://openalex.org/keywords/l-attributed-grammar","display_name":"L-attributed grammar","score":0.4235788583755493},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.24071064591407776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20851004123687744},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.18335574865341187},{"id":"https://openalex.org/keywords/context-free-grammar","display_name":"Context-free grammar","score":0.18135309219360352},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.175861656665802},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.055846601724624634}],"concepts":[{"id":"https://openalex.org/C2778220771","wikidata":"https://www.wikidata.org/wiki/Q1522579","display_name":"Substitution (logic)","level":2,"score":0.8465752601623535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362403631210327},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.618537425994873},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6125226616859436},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.6047415733337402},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.55934739112854},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5486151576042175},{"id":"https://openalex.org/C134083981","wikidata":"https://www.wikidata.org/wiki/Q1754022","display_name":"Tree-adjoining grammar","level":4,"score":0.5417386293411255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5037655234336853},{"id":"https://openalex.org/C67621940","wikidata":"https://www.wikidata.org/wiki/Q3113340","display_name":"L-attributed grammar","level":4,"score":0.4235788583755493},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.24071064591407776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20851004123687744},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18335574865341187},{"id":"https://openalex.org/C97212296","wikidata":"https://www.wikidata.org/wiki/Q338047","display_name":"Context-free grammar","level":3,"score":0.18135309219360352},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.175861656665802},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.055846601724624634},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3003678146","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1756006.1953031","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2157874452","https://openalex.org/W633514676","https://openalex.org/W50453584","https://openalex.org/W2001304006","https://openalex.org/W1614322827","https://openalex.org/W2010559653","https://openalex.org/W2168225658","https://openalex.org/W2032790554","https://openalex.org/W2101519134","https://openalex.org/W2947981834","https://openalex.org/W183108079","https://openalex.org/W2395964183","https://openalex.org/W3142199003","https://openalex.org/W1831388244","https://openalex.org/W1959656604","https://openalex.org/W46590138","https://openalex.org/W2787770455","https://openalex.org/W84172015"],"abstract_inverted_index":{"Inducing":[0],"a":[1,9],"grammar":[2],"from":[3],"text":[4],"has":[5],"proven":[6],"to":[7,28],"be":[8],"notoriously":[10],"challenging":[11],"learning":[12],"task":[13],"despite":[14],"decades":[15],"of":[16],"research.":[17],"The":[18],"primary":[19],"reason":[20],"for":[21],"its":[22],"difficulty":[23],"is":[24],"that":[25],"in":[26],"order":[27],"induce":[29],"plausible":[30],"grammar...":[31]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2025-10-10T00:00:00"}
