{"id":"https://openalex.org/W2131571849","doi":"https://doi.org/10.4304/jcp.9.9.2239-2245","title":"Integrating Semantic Analysis into Syntactic Parsing: Combining Categorial Grammar and Frame Semantics","display_name":"Integrating Semantic Analysis into Syntactic Parsing: Combining Categorial Grammar and Frame Semantics","publication_year":2014,"publication_date":"2014-08-15","ids":{"openalex":"https://openalex.org/W2131571849","doi":"https://doi.org/10.4304/jcp.9.9.2239-2245","mag":"2131571849"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.9.2239-2245","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.9.2239-2245","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5101445828","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0003-2300-0743"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ke Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014270801","display_name":"Rongpei Wang","orcid":"https://orcid.org/0009-0006-7209-030X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rongpei Wang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101445828"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11269084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"9","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":0.9998999834060669,"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":0.9998999834060669,"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":0.9908999800682068,"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":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/combinatory-categorial-grammar","display_name":"Combinatory categorial grammar","score":0.8609086275100708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979906797409058},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7196555137634277},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7083926796913147},{"id":"https://openalex.org/keywords/categorial-grammar","display_name":"Categorial grammar","score":0.6933379173278809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5639950633049011},{"id":"https://openalex.org/keywords/link-grammar","display_name":"Link grammar","score":0.5468390583992004},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42525067925453186},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3807322084903717},{"id":"https://openalex.org/keywords/mildly-context-sensitive-grammar-formalism","display_name":"Mildly context-sensitive grammar formalism","score":0.3562837243080139},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.320132851600647},{"id":"https://openalex.org/keywords/attribute-grammar","display_name":"Attribute grammar","score":0.2357710301876068},{"id":"https://openalex.org/keywords/phrase-structure-rules","display_name":"Phrase structure rules","score":0.17157554626464844}],"concepts":[{"id":"https://openalex.org/C199837984","wikidata":"https://www.wikidata.org/wiki/Q730974","display_name":"Combinatory categorial grammar","level":5,"score":0.8609086275100708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979906797409058},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7196555137634277},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7083926796913147},{"id":"https://openalex.org/C840598","wikidata":"https://www.wikidata.org/wiki/Q1841499","display_name":"Categorial grammar","level":5,"score":0.6933379173278809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5639950633049011},{"id":"https://openalex.org/C957247","wikidata":"https://www.wikidata.org/wiki/Q6554304","display_name":"Link grammar","level":4,"score":0.5468390583992004},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42525067925453186},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3807322084903717},{"id":"https://openalex.org/C172265290","wikidata":"https://www.wikidata.org/wiki/Q6134957","display_name":"Mildly context-sensitive grammar formalism","level":4,"score":0.3562837243080139},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.320132851600647},{"id":"https://openalex.org/C164041254","wikidata":"https://www.wikidata.org/wiki/Q597455","display_name":"Attribute grammar","level":3,"score":0.2357710301876068},{"id":"https://openalex.org/C80877019","wikidata":"https://www.wikidata.org/wiki/Q7188074","display_name":"Phrase structure rules","level":3,"score":0.17157554626464844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.9.2239-2245","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.9.2239-2245","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W21221435","https://openalex.org/W1539395461","https://openalex.org/W1567277581","https://openalex.org/W1979324125","https://openalex.org/W2039217078","https://openalex.org/W2134199742","https://openalex.org/W2169842528","https://openalex.org/W2318908254","https://openalex.org/W2328580899"],"related_works":["https://openalex.org/W1547374399","https://openalex.org/W2088427555","https://openalex.org/W4298724019","https://openalex.org/W2951015845","https://openalex.org/W204495835","https://openalex.org/W2108948499","https://openalex.org/W2362563713","https://openalex.org/W2944432439","https://openalex.org/W1543466370","https://openalex.org/W2251269863"],"abstract_inverted_index":{"For":[0],"a":[1,10,39,50,65,131],"long":[2],"time,":[3],"syntacticians":[4],"and":[5],"semanticists":[6],"have":[7,23],"been":[8],"seeking":[9],"way":[11],"to":[12,41],"integrate":[13],"semantic":[14,132],"analysis":[15],"into":[16],"syntactic":[17,78],"parsing,":[18],"or":[19,34],"inverse;":[20],"because":[21],"they":[22,48,95],"realized":[24],"that":[25,129],"understanding":[26],"cannot":[27],"be":[28],"fully":[29],"explained":[30],"simply":[31],"with":[32],"syntax":[33],"semantics.":[35,112,145],"Categorial":[36],"Grammarians":[37],"devoted":[38],"lot":[40],"extend":[42],"the":[43,54,81,137,140],"expressiveness":[44],"of":[45,70,77,83],"CG,":[46],"but":[47],"missed":[49],"point":[51],"what":[52],"behinds":[53],"scene":[55],"is":[56,134,142],"meanings":[57],"rather":[58],"than":[59],"grammar":[60],"rules.":[61],"Frame":[62],"Semantics":[63],"invented":[64],"very":[66],"good":[67],"formal":[68],"representation":[69],"meanings;":[71],"however":[72],"it":[73],"lacks":[74],"an":[75],"apparatus":[76],"operation":[79],"like":[80],"one":[82],"CG.":[84],"So,":[85],"in":[86,111,144],"this":[87,121],"paper,":[88],"we":[89,114],"integrated":[90],"them":[91],"together,":[92],"so":[93],"as":[94],"could":[96],"complement":[97],"each":[98],"other.":[99],"This":[100],"theoretical":[101,122],"model":[102],"can":[103],"explain":[104],"why":[105],"some":[106],"grammatical":[107],"sentences":[108],"are":[109],"unacceptable":[110],"Besides,":[113],"introduced":[115],"our":[116,127],"Parsing":[117],"System":[118],"built":[119],"on":[120],"model,":[123],"which":[124],"well":[125],"supports":[126],"argument":[128],"if":[130],"category":[133],"allowed":[135],"by":[136],"frame,":[138],"then":[139],"sentence":[141],"acceptable":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
