{"id":"https://openalex.org/W2141726922","doi":"https://doi.org/10.1109/chinsl.2004.1409654","title":"Spoken document summarization using topic-related corpus and semantic dependency grammar","display_name":"Spoken document summarization using topic-related corpus and semantic dependency grammar","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W2141726922","doi":"https://doi.org/10.1109/chinsl.2004.1409654","mag":"2141726922"},"language":"en","primary_location":{"id":"doi:10.1109/chinsl.2004.1409654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2004.1409654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SympoTIC '04. Joint 1st Workshop on Mobile Future & Symposium on Trends In Communications (IEEE Cat. No.04EX877)","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/A5000677417","display_name":"Chia-Hsin Hsieh","orcid":null},"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":"Chia-Hsin Hsieh","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":"middle","author":{"id":"https://openalex.org/A5060455058","display_name":"Chien\u2010Lin Huang","orcid":"https://orcid.org/0000-0002-4987-9429"},"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":"Chien-Lin Huang","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":3,"corresponding_author_ids":["https://openalex.org/A5000677417"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":1.6213,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84735886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"333","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10181","display_name":"Natural Language Processing Techniques","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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9979000091552734,"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":0.8834268450737},{"id":"https://openalex.org/keywords/treebank","display_name":"Treebank","score":0.8789317607879639},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.8297078609466553},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8176447153091431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7300854921340942},{"id":"https://openalex.org/keywords/trigram","display_name":"Trigram","score":0.6337509751319885},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6004794239997864},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.4483286142349243},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4137907922267914},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41087424755096436},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34633272886276245},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18082672357559204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8834268450737},{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.8789317607879639},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.8297078609466553},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8176447153091431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7300854921340942},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.6337509751319885},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6004794239997864},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.4483286142349243},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4137907922267914},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41087424755096436},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34633272886276245},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18082672357559204},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/chinsl.2004.1409654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2004.1409654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SympoTIC '04. Joint 1st Workshop on Mobile Future & Symposium on Trends In Communications (IEEE Cat. No.04EX877)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.408.3912","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.3912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://isca-speech.org/archive_open/archive_papers/iscslp2004/009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W55333121","https://openalex.org/W1560013842","https://openalex.org/W1574901103","https://openalex.org/W1597533204","https://openalex.org/W2028339364","https://openalex.org/W2097321121","https://openalex.org/W2100845659","https://openalex.org/W2133824856","https://openalex.org/W2153112618","https://openalex.org/W2158289097"],"related_works":["https://openalex.org/W2251015434","https://openalex.org/W4225089174","https://openalex.org/W2251234095","https://openalex.org/W117843963","https://openalex.org/W2478214247","https://openalex.org/W2169438272","https://openalex.org/W4212832296","https://openalex.org/W2740662036","https://openalex.org/W2109796471","https://openalex.org/W589103562"],"abstract_inverted_index":{"The":[0,16],"paper":[1],"presents":[2],"a":[3,9,39,113],"spoken":[4],"document":[5],"summarization":[6,17,84,91,95],"scheme":[7],"using":[8,57,70],"topic-related":[10,40],"corpus":[11,41],"and":[12,31,72,86,111],"semantic":[13,27,59,109],"dependency":[14,28,110],"grammar.":[15],"score":[18,56],"considers":[19],"speech":[20,115],"recognition":[21],"confidence,":[22],"word":[23,25,54],"significance,":[24],"trigram,":[26],"grammar":[29,35],"(SDG)":[30],"probabilistic":[32],"context":[33],"free":[34],"(PCFG).":[36],"In":[37],"addition,":[38],"consisting":[42],"of":[43],"keywords":[44],"as":[45,47],"well":[46],"articles":[48],"is":[49,79],"used":[50],"to":[51,81,94],"estimate":[52],"the":[53,83,89,101],"significance":[55],"latent":[58],"indexing":[60],"(LSI).":[61],"Semantic":[62],"relations":[63],"between":[64],"words":[65,107],"are":[66],"determined":[67],"by":[68],"SDG":[69],"HowNet":[71],"Sinica":[73],"Treebank.":[74],"A":[75],"dynamic":[76],"programming":[77],"algorithm":[78],"applied":[80],"decide":[82],"ratio":[85],"look":[87],"for":[88],"best":[90],"result":[92],"according":[93],"scores.":[96],"Experimental":[97],"results":[98],"indicate":[99],"that":[100],"proposed":[102],"approach":[103],"effectively":[104],"extracts":[105],"important":[106],"with":[108],"gives":[112],"promising":[114],"summary.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}