{"id":"https://openalex.org/W2038186431","doi":"https://doi.org/10.1109/icassp.2014.6854365","title":"Unsupervised broadcast news story segmentation using distance dependent Chinese restaurant processes","display_name":"Unsupervised broadcast news story segmentation using distance dependent Chinese restaurant processes","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2038186431","doi":"https://doi.org/10.1109/icassp.2014.6854365","mag":"2038186431"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100604019","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0001-9276-5673"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","Shaanxi Provincial Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668966","display_name":"Lei Xie","orcid":"https://orcid.org/0000-0001-8234-0823"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","Shaanxi Provincial Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068611007","display_name":"Xiangzeng Zhou","orcid":"https://orcid.org/0000-0003-3123-6561"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangzeng Zhou","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","Shaanxi Provincial Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.2586,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85899618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"4062","last_page":"4066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11309","display_name":"Music and Audio Processing","score":0.9879000186920166,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9740999937057495,"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":0.7893602848052979},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.759323239326477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6151377558708191},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5942790508270264},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5810349583625793},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43841439485549927},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.41004854440689087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4058469831943512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3966406583786011},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34091898798942566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893602848052979},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.759323239326477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6151377558708191},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5942790508270264},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5810349583625793},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43841439485549927},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41004854440689087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4058469831943512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3966406583786011},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34091898798942566},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6854365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.651.4049","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.4049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.nwpu-aslp.org/lxie/papers/2014ICASSP-YangChao.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W44656553","https://openalex.org/W1488461535","https://openalex.org/W1568327918","https://openalex.org/W1594112393","https://openalex.org/W1828401780","https://openalex.org/W2027823133","https://openalex.org/W2080972498","https://openalex.org/W2096476966","https://openalex.org/W2115870554","https://openalex.org/W2118612506","https://openalex.org/W2122740842","https://openalex.org/W2124585778","https://openalex.org/W2129317206","https://openalex.org/W2140836433","https://openalex.org/W2143720614","https://openalex.org/W2158266063","https://openalex.org/W2166354010","https://openalex.org/W2171630125","https://openalex.org/W2293549695","https://openalex.org/W2426479676","https://openalex.org/W2615915281","https://openalex.org/W2918757710","https://openalex.org/W6629169963","https://openalex.org/W6638575021","https://openalex.org/W6678103038","https://openalex.org/W6678435566","https://openalex.org/W6684363390","https://openalex.org/W6685095848","https://openalex.org/W6697044949"],"related_works":["https://openalex.org/W2041094720","https://openalex.org/W3176346151","https://openalex.org/W2405878126","https://openalex.org/W2141935069","https://openalex.org/W2895163963","https://openalex.org/W2025552247","https://openalex.org/W330298975","https://openalex.org/W2162340487","https://openalex.org/W2126623305","https://openalex.org/W2113605784","https://openalex.org/W2107743791","https://openalex.org/W2027823133","https://openalex.org/W2018627475","https://openalex.org/W2002890640","https://openalex.org/W1880262756","https://openalex.org/W1828401780","https://openalex.org/W1614151208","https://openalex.org/W1557074680","https://openalex.org/W2017370713","https://openalex.org/W1968095326"],"abstract_inverted_index":{"Traditional":[0],"unsupervised":[1,115],"broadcast":[2],"news":[3,48],"story":[4,61,95],"segmentation":[5,11,119],"approaches":[6,116],"have":[7],"to":[8,86],"set":[9],"the":[10,32,59,80,88,91,102,118],"number":[12,16,120],"manually,":[13],"while":[14],"this":[15,24,28],"is":[17,83],"often":[18],"unknown":[19],"in":[20,58],"real-world":[21],"applications.":[22],"In":[23],"paper,":[25],"we":[26,69],"solve":[27],"problem":[29],"by":[30,100],"modeling":[31],"generative":[33],"process":[34,42],"of":[35,104],"stories":[36],"as":[37],"distance":[38],"dependent":[39],"Chinese":[40],"restaurant":[41],"(dd-CRP)":[43],"mixtures.":[44],"We":[45],"cut":[46],"a":[47,65,71],"program":[49],"into":[50],"fixed-size":[51],"text":[52],"blocks":[53,57],"and":[54,114,117],"consider":[55],"these":[56],"same":[60,89],"are":[62],"generated":[63],"from":[64,125],"story-specific":[66],"topic.":[67],"Specifically,":[68],"add":[70],"dd-CRP":[72],"prior":[73],"which":[74],"has":[75],"an":[76],"essential":[77],"bias":[78],"that":[79,108],"blocks'":[81],"topic":[82],"more":[84],"likely":[85],"be":[87,98,122],"with":[90],"nearby":[92],"blocks.":[93],"Subsequently,":[94],"boundaries":[96],"can":[97,121],"found":[99],"detecting":[101],"changes":[103],"topics.":[105],"Experiments":[106],"show":[107],"our":[109],"approach":[110],"outperforms":[111],"both":[112],"supervised":[113],"automatically":[123],"learned":[124],"data.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}