{"id":"https://openalex.org/W2063097971","doi":"https://doi.org/10.1142/s0219427906001426","title":"A Hybrid Method to Determine Inter-Clause Dependency","display_name":"A Hybrid Method to Determine Inter-Clause Dependency","publication_year":2006,"publication_date":"2006-06-01","ids":{"openalex":"https://openalex.org/W2063097971","doi":"https://doi.org/10.1142/s0219427906001426","mag":"2063097971"},"language":"en","primary_location":{"id":"doi:10.1142/s0219427906001426","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219427906001426","pdf_url":null,"source":{"id":"https://openalex.org/S50006202","display_name":"International Journal of Computer Processing Of Languages","issn_l":"1793-8406","issn":["1793-8406","2010-0205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Processing of Languages","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/A5100743275","display_name":"Mi-Young Kim","orcid":"https://orcid.org/0000-0002-2598-6932"},"institutions":[{"id":"https://openalex.org/I165677929","display_name":"Sungshin Women's University","ror":"https://ror.org/0500xzf72","country_code":"KR","type":"education","lineage":["https://openalex.org/I165677929"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"MI-YOUNG KIM","raw_affiliation_strings":["School of Computer Science and Engineering, Sungshin Women's University, Dongseon-dong 3-ga, Seongbuk-gu, Seoul, 136-742, Korea","Sungshin Women\u2019s University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sungshin Women's University, Dongseon-dong 3-ga, Seongbuk-gu, Seoul, 136-742, Korea","institution_ids":["https://openalex.org/I165677929"]},{"raw_affiliation_string":"Sungshin Women\u2019s University","institution_ids":["https://openalex.org/I165677929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100743275"],"corresponding_institution_ids":["https://openalex.org/I165677929"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10868797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"02n03","first_page":"89","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.996999979019165,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.8662213683128357},{"id":"https://openalex.org/keywords/dependent-clause","display_name":"Dependent clause","score":0.7654221653938293},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7151479721069336},{"id":"https://openalex.org/keywords/governor","display_name":"Governor","score":0.6515009999275208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5686460137367249},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5639089941978455},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.561873197555542},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5532910227775574},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5247207880020142},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5225769281387329},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5189637541770935},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.48926135897636414},{"id":"https://openalex.org/keywords/relative-clause","display_name":"Relative clause","score":0.4397210478782654},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11564609408378601},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09867480397224426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8662213683128357},{"id":"https://openalex.org/C134510687","wikidata":"https://www.wikidata.org/wiki/Q1122094","display_name":"Dependent clause","level":3,"score":0.7654221653938293},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7151479721069336},{"id":"https://openalex.org/C2781233147","wikidata":"https://www.wikidata.org/wiki/Q3229617","display_name":"Governor","level":2,"score":0.6515009999275208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5686460137367249},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5639089941978455},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.561873197555542},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5532910227775574},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5247207880020142},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5225769281387329},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5189637541770935},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.48926135897636414},{"id":"https://openalex.org/C2775895778","wikidata":"https://www.wikidata.org/wiki/Q1402059","display_name":"Relative clause","level":2,"score":0.4397210478782654},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11564609408378601},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09867480397224426},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219427906001426","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219427906001426","pdf_url":null,"source":{"id":"https://openalex.org/S50006202","display_name":"International Journal of Computer Processing Of Languages","issn_l":"1793-8406","issn":["1793-8406","2010-0205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Processing of Languages","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W57205489","https://openalex.org/W1504694836","https://openalex.org/W2109303002","https://openalex.org/W2125055259","https://openalex.org/W2786313559","https://openalex.org/W3120142856"],"related_works":["https://openalex.org/W2380749401","https://openalex.org/W2148496038","https://openalex.org/W2251084681","https://openalex.org/W2351351717","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W2755319424","https://openalex.org/W2968543375","https://openalex.org/W855760737","https://openalex.org/W1639023003"],"abstract_inverted_index":{"The":[0],"longer":[1],"the":[2,5,7,22,32,40,48,83,92,107,122,128],"input":[3],"sentences,":[4],"worse":[6],"syntactic":[8,23,55],"parsing":[9],"results.":[10],"Therefore,":[11],"a":[12,64,86,110,118],"long":[13],"sentence":[14],"is":[15,28,44,104],"first":[16],"divided":[17],"into":[18,37],"several":[19],"clauses,":[20],"and":[21,70,120,144],"analysis":[24,33],"for":[25],"each":[26,125],"clause":[27,88,103],"performed.":[29],"Finally,":[30],"all":[31],"results":[34,131],"are":[35,89],"merged":[36],"one.":[38],"In":[39],"merging":[41],"process,":[42],"it":[43],"difficult":[45],"to":[46],"determine":[47],"dependency":[49],"among":[50],"clauses.":[51],"To":[52],"handle":[53],"such":[54],"ambiguity":[56],"in":[57],"determining":[58],"inter-clause":[59],"dependency,":[60],"this":[61],"paper":[62],"proposes":[63],"hybrid":[65,135],"method":[66,136],"using":[67,96,141,145],"restriction":[68,77,142],"rules":[69,143],"Decision":[71,97,146],"Trees-based":[72],"machine":[73,99],"learning.":[74],"Based":[75],"on":[76,127],"rules,":[78],"clauses":[79],"that":[80,133],"cannot":[81],"be":[82],"governor":[84,93,108],"of":[85,109,124,140],"dependent":[87,111],"excluded":[90],"from":[91,117],"candidates.":[94],"Next,":[95],"Trees":[98],"learning":[100],"algorithm,":[101],"one":[102],"selected":[105],"as":[106],"clause.":[112],"We":[113],"extract":[114],"various":[115],"features":[116],"clause,":[119],"analyze":[121],"effect":[123],"feature":[126],"performance.":[129],"Experimental":[130],"show":[132],"our":[134],"outperformed":[137],"both":[138],"methods":[139],"Trees.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}