{"id":"https://openalex.org/W1996195890","doi":"https://doi.org/10.1109/iscslp.2010.5684897","title":"Sentence Decomplexification using holistic aspect-based clause detection for long sentence understanding","display_name":"Sentence Decomplexification using holistic aspect-based clause detection for long sentence understanding","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W1996195890","doi":"https://doi.org/10.1109/iscslp.2010.5684897","mag":"1996195890"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2010.5684897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2010.5684897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Chinese Spoken Language Processing","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/A5063016307","display_name":"Chao-Hong Liu","orcid":"https://orcid.org/0000-0002-1235-6026"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chao-Hong Liu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063016307"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08886367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"265","last_page":"270"},"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":0.9994999766349792,"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":0.9957000017166138,"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":0.8700963258743286},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8663835525512695},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.767528772354126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6797590255737305},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.6187008023262024},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6112457513809204},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5630522966384888},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5074359774589539},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4249938130378723},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41125425696372986},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3984736502170563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8700963258743286},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8663835525512695},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.767528772354126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6797590255737305},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.6187008023262024},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6112457513809204},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5630522966384888},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5074359774589539},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4249938130378723},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41125425696372986},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3984736502170563},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2010.5684897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2010.5684897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"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":26,"referenced_works":["https://openalex.org/W1501229393","https://openalex.org/W1623072288","https://openalex.org/W1970042654","https://openalex.org/W1983624678","https://openalex.org/W2028705450","https://openalex.org/W2038248725","https://openalex.org/W2040909025","https://openalex.org/W2066086840","https://openalex.org/W2078861931","https://openalex.org/W2090456175","https://openalex.org/W2098921539","https://openalex.org/W2101105183","https://openalex.org/W2117400858","https://openalex.org/W2118119027","https://openalex.org/W2156515921","https://openalex.org/W2156909104","https://openalex.org/W2162349723","https://openalex.org/W2162439664","https://openalex.org/W2172251087","https://openalex.org/W2801883372","https://openalex.org/W2951562155","https://openalex.org/W4241616460","https://openalex.org/W6636392717","https://openalex.org/W6677349821","https://openalex.org/W6677437730","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2010807697","https://openalex.org/W2293063786","https://openalex.org/W2911292476","https://openalex.org/W4288263119","https://openalex.org/W3015724364","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4286930972","https://openalex.org/W3202115945"],"abstract_inverted_index":{"Long":[0],"sentences":[1],"have":[2],"posed":[3],"significant":[4],"challenges":[5],"for":[6,26,46,104,112,130],"many":[7],"natural":[8],"language":[9,18],"processing":[10],"(NLP)":[11],"tasks":[12],"such":[13],"as":[14,166,189],"machine":[15],"translation":[16],"and":[17,43,66,123],"understanding,":[19,176],"because":[20],"it":[21],"is":[22,87],"still":[23],"very":[24],"difficult":[25,90],"the":[27,38,67,77,80,109,119,143,155,171,177],"state-of-the-art":[28],"parsers":[29],"to":[30,48,59,107,133,141,187,191],"analyze":[31],"them.":[32],"In":[33],"this":[34,134],"paper,":[35],"we":[36,95],"identify":[37],"Sentence":[39],"Decomplexification":[40],"(SD)":[41],"problem":[42],"propose":[44,97],"models":[45],"SD":[47,57,113,122,137,158],"help":[49],"understand":[50],"long":[51,147,174],"sentences.":[52],"Given":[53],"a":[54,88,98,146],"complex":[55],"sentence,":[56],"seeks":[58],"return":[60],"two":[61,72],"sentences,":[62],"one":[63],"main":[64],"clause":[65,105],"other":[68],"subordinate":[69,85],"clause.":[70],"These":[71],"clauses":[73,86],"together":[74],"include":[75],"all":[76],"information":[78],"of":[79,121,145,157,173,183],"original":[81],"sentence.":[82],"Since":[83],"identifying":[84],"more":[89],"task":[91,156],"than":[92],"traditional":[93],"chunking,":[94],"also":[96],"holistic":[99],"aspect-based":[100],"detection":[101,106],"(HAD)":[102],"method":[103,179],"reduce":[108],"overhead":[110],"required":[111],"sentence":[114,148,167,175],"similarity":[115],"computation.":[116],"We":[117],"provide":[118],"formalisms":[120],"show":[124,153],"that":[125,154,192],"HAD":[126],"can":[127],"be":[128],"used":[129,140],"efficiency":[131],"purposes":[132],"task.":[135],"The":[136],"system":[138],"was":[139],"improve":[142],"performance":[144,172],"understanding":[149],"system.":[150],"Experimental":[151],"results":[152],"achieves":[159],"78.7%":[160],"accuracy":[161,184],"using":[162,194],"Chinese":[163],"Gigaword":[164],"Corpus":[165],"comparison":[168],"corpus.":[169],"For":[170],"proposed":[178],"reports":[180],"an":[181],"improvement":[182],"from":[185],"70.7%":[186],"75.5%":[188],"compared":[190],"without":[193],"SD.":[195]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-02T13:48:15.688549","created_date":"2025-10-10T00:00:00"}
