{"id":"https://openalex.org/W2251872518","doi":"https://doi.org/10.18653/v1/w15-2203","title":"Incorporating Complementary Annotation to a CCGbank for Improving Derivations for Japanese","display_name":"Incorporating Complementary Annotation to a CCGbank for Improving Derivations for Japanese","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251872518","doi":"https://doi.org/10.18653/v1/w15-2203","mag":"2251872518"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w15-2203","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2203","pdf_url":null,"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 14th International Conference on Parsing Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/w15-2203","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058038169","display_name":"Sumire Uematsu","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Sumire Uematsu","raw_affiliation_strings":["National Institute of Informatics,"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics,","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004444958","display_name":"Yusuke Miyao","orcid":"https://orcid.org/0000-0002-0678-3400"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Miyao","raw_affiliation_strings":["National Institute of Informatics,"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics,","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058038169"],"corresponding_institution_ids":["https://openalex.org/I184597095"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"29"},"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":0.9990000128746033,"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":0.9954000115394592,"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/treebank","display_name":"Treebank","score":0.9989522695541382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8315773010253906},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7470731735229492},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7108331918716431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6402256488800049},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5819001793861389},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5748124718666077},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.45452725887298584},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.4468466341495514},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44516393542289734},{"id":"https://openalex.org/keywords/combinatory-categorial-grammar","display_name":"Combinatory categorial grammar","score":0.4370814263820648},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.4163748025894165},{"id":"https://openalex.org/keywords/tree-adjoining-grammar","display_name":"Tree-adjoining grammar","score":0.25428158044815063},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10287803411483765},{"id":"https://openalex.org/keywords/context-free-grammar","display_name":"Context-free grammar","score":0.09714612364768982}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9989522695541382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315773010253906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7470731735229492},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7108331918716431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6402256488800049},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5819001793861389},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5748124718666077},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.45452725887298584},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.4468466341495514},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44516393542289734},{"id":"https://openalex.org/C199837984","wikidata":"https://www.wikidata.org/wiki/Q730974","display_name":"Combinatory categorial grammar","level":5,"score":0.4370814263820648},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.4163748025894165},{"id":"https://openalex.org/C134083981","wikidata":"https://www.wikidata.org/wiki/Q1754022","display_name":"Tree-adjoining grammar","level":4,"score":0.25428158044815063},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10287803411483765},{"id":"https://openalex.org/C97212296","wikidata":"https://www.wikidata.org/wiki/Q338047","display_name":"Context-free grammar","level":3,"score":0.09714612364768982},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w15-2203","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2203","pdf_url":null,"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 14th International Conference on Parsing Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w15-2203","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2203","pdf_url":null,"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 14th International Conference on Parsing Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W6643695","https://openalex.org/W153328580","https://openalex.org/W1567277581","https://openalex.org/W1632114991","https://openalex.org/W1965893653","https://openalex.org/W1969245183","https://openalex.org/W2035305552","https://openalex.org/W2044436271","https://openalex.org/W2084177091","https://openalex.org/W2105509151","https://openalex.org/W2145910665","https://openalex.org/W2158847908","https://openalex.org/W2159636675","https://openalex.org/W2170570046","https://openalex.org/W2171332413","https://openalex.org/W2205874601","https://openalex.org/W2250416224"],"related_works":["https://openalex.org/W2250582358","https://openalex.org/W2097428952","https://openalex.org/W4317695304","https://openalex.org/W1523666900","https://openalex.org/W151510299","https://openalex.org/W207701337","https://openalex.org/W2787302947","https://openalex.org/W3029161787","https://openalex.org/W2080104756","https://openalex.org/W2132589551"],"abstract_inverted_index":{"Wide-coverage":[0],"resources":[1],"for":[2,39,46],"lexicalized":[3],"grammars":[4],"have":[5],"been":[6],"obtained":[7],"by":[8,57,67],"converting":[9,59],"the":[10,20,34,52,62,103,112,115,120],"existing":[11],"treebanks":[12],"into":[13],"collections":[14],"of":[15,51,74,102,111],"derivations.":[16,29,122],"Additional":[17],"annotations":[18],"to":[19,26,42,80],"source":[21,49],"treebank":[22,31,36,50,86],"can":[23],"be":[24],"used":[25,38],"improve":[27,43],"these":[28],"A":[30],"annotation":[32],"called":[33],"NTT":[35,85],"was":[37],"this":[40],"paper":[41],"a":[44,72],"CCGbank":[45,53,63],"Japanese.":[47],"The":[48,84,100],"itself":[54],"is":[55,78,106],"created":[56],"automatically":[58],"chunk-dependencies,":[60],"but":[61],"contains":[64],"errors":[65],"caused":[66],"noisier":[68],"phrase":[69],"structures":[70],"and":[71,90,92,97],"lack":[73],"linguistic":[75],"information,":[76,94],"which":[77],"difficult":[79],"represent":[81],"in":[82,109,114],"chunk-dependency.":[83],"provides":[87],"cleaner":[88],"trees":[89],"functional":[91],"semantic":[93],"e.g.,":[95],"coordinations":[96],"predicate-argument":[98],"structures.":[99],"effect":[101],"improvement":[104],"process":[105],"empirically":[107],"evaluated":[108],"terms":[110],"changes":[113],"dependency":[116],"relations":[117],"extracted":[118],"from":[119],"resulting":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}