{"id":"https://openalex.org/W1664631671","doi":"https://doi.org/10.1109/dbta.2010.5659102","title":"Towards Natural Language Processing: A Well-Formed Substring Table Approach to Understanding Garden Path Sentence","display_name":"Towards Natural Language Processing: A Well-Formed Substring Table Approach to Understanding Garden Path Sentence","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W1664631671","doi":"https://doi.org/10.1109/dbta.2010.5659102","mag":"1664631671"},"language":"en","primary_location":{"id":"doi:10.1109/dbta.2010.5659102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","raw_type":"proceedings-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/A5102928129","display_name":"Jia\u2010Li Du","orcid":"https://orcid.org/0009-0004-4170-5899"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]},{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia-li Du","raw_affiliation_strings":["School of Literature / School of Foreign Languages Communication University of China, Beijing /Ludong University, Yantai, Shandong Province, China","School of Literature, School of Foreign Languages, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Literature / School of Foreign Languages Communication University of China, Beijing /Ludong University, Yantai, Shandong Province, China","institution_ids":["https://openalex.org/I182707071","https://openalex.org/I75689368"]},{"raw_affiliation_string":"School of Literature, School of Foreign Languages, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109897236","display_name":"Pingfang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping-fang Yu","raw_affiliation_strings":["School of Liberal Arts, Ludong University, Yantai, Shandong Province, China"],"affiliations":[{"raw_affiliation_string":"School of Liberal Arts, Ludong University, Yantai, Shandong Province, China","institution_ids":["https://openalex.org/I182707071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102928129"],"corresponding_institution_ids":["https://openalex.org/I182707071","https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78729693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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/T12031","display_name":"Speech and dialogue systems","score":0.9843000173568726,"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":0.983299970626831,"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/computer-science","display_name":"Computer science","score":0.8493534326553345},{"id":"https://openalex.org/keywords/substring","display_name":"Substring","score":0.7858480215072632},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7730458974838257},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7476994395256042},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6911607384681702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.670408308506012},{"id":"https://openalex.org/keywords/backtracking","display_name":"Backtracking","score":0.6231517791748047},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5379818677902222},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.45321860909461975},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.41853630542755127},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17647624015808105},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.16509363055229187},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12120690941810608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8493534326553345},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.7858480215072632},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7730458974838257},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7476994395256042},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6911607384681702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.670408308506012},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.6231517791748047},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5379818677902222},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.45321860909461975},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.41853630542755127},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17647624015808105},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.16509363055229187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12120690941810608}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dbta.2010.5659102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1975750950","https://openalex.org/W1979503336","https://openalex.org/W2006891577","https://openalex.org/W2023207720","https://openalex.org/W2041690310","https://openalex.org/W2047031147","https://openalex.org/W2047531078","https://openalex.org/W2089967673","https://openalex.org/W2094315712","https://openalex.org/W2102656987","https://openalex.org/W2111895638","https://openalex.org/W2122367141","https://openalex.org/W2124478538","https://openalex.org/W2140345716","https://openalex.org/W2151980874","https://openalex.org/W2167831055"],"related_works":["https://openalex.org/W2293063786","https://openalex.org/W2911292476","https://openalex.org/W2367925007","https://openalex.org/W3015724364","https://openalex.org/W4288263119","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4225162083","https://openalex.org/W3202115945"],"abstract_inverted_index":{"As":[0],"computers":[1],"have":[2,133],"become":[3],"more":[4],"affordable":[5],"and":[6,10,58,83,138,141,148],"accessible,":[7],"the":[8,86,91,95,98,104,143],"theories":[9],"techniques":[11,99,147],"of":[12,44,62,97,100],"natural":[13,26,40,63,158],"language":[14,64],"processing":[15,81],"(NLP)":[16],"are":[17],"increasingly":[18],"used":[19,37],"as":[20,54],"a":[21,74,119],"means":[22],"for":[23,111,127,154],"automatically":[24],"decoding":[25,61],"language.":[27,41,159],"Well-formed":[28],"substring":[29],"table":[30],"(WFST)":[31],"is":[32,50,109,125,152],"an":[33,128],"efficient":[34],"parsing":[35],"algorithm":[36],"to":[38,113,132,135,156],"decode":[39,157],"The":[42],"form":[43],"(START,":[45],"FINISH,":[46],"LABEL\u2192FOUND.":[47],"TO":[48],"FIND)":[49],"accepted":[51],"by":[52,68],"system":[53,131,155],"its":[55,59],"basic":[56],"model,":[57],"obvious":[60],"can":[65,79],"be":[66],"shown":[67],"chart":[69],"parsing.":[70],"GP":[71,92,115],"sentence":[72,93,116],"has":[73,118],"special":[75],"syntactic":[76,121],"structure":[77],"which":[78,117],"bring":[80],"breakdown":[82],"backtracking":[84],"during":[85],"automatic":[87],"decoding.":[88],"By":[89],"analyzing":[90],"on":[94],"basis":[96],"WFST,":[101],"we":[102],"reach":[103],"conclusions":[105],"that":[106,123,142],"WFST":[107],"method":[108],"helpful":[110],"readers":[112],"understand":[114],"complex":[120],"structure,":[122],"it":[124],"necessary":[126],"effective":[129],"NLP":[130],"access":[134],"syntactic,":[136],"cognitive":[137],"semantic":[139],"knowledge,":[140],"integration":[144],"between":[145],"machine":[146],"human":[149],"being":[150],"cognition":[151],"essential":[153]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}