{"id":"https://openalex.org/W14457228","doi":"https://doi.org/10.21437/interspeech.2010-407","title":"Maximum lexical cohesion for fine-grained news story segmentation","display_name":"Maximum lexical cohesion for fine-grained news story segmentation","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W14457228","doi":"https://doi.org/10.21437/interspeech.2010-407","mag":"14457228"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-407","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","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/A5100623107","display_name":"Zihan Liu","orcid":"https://orcid.org/0000-0002-9692-4245"},"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":true,"raw_author_name":"Zihan Liu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"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":["Northwestern Polytechnical Univ"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical Univ","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100721881","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-3809-1086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100623107"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.4655,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70581449,"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":"1301","last_page":"1304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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":0.9983999729156494,"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/cohesion","display_name":"Cohesion (chemistry)","score":0.8203719854354858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7619273662567139},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7374439239501953},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6128230094909668},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6029568910598755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792895555496216},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5094407200813293},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4850148856639862},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.4626494348049164},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3763815760612488},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.32320380210876465}],"concepts":[{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.8203719854354858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619273662567139},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7374439239501953},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6128230094909668},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6029568910598755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792895555496216},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5094407200813293},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4850148856639862},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.4626494348049164},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3763815760612488},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32320380210876465},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2010-407","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.653.4123","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.653.4123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lxie.nwpu-aslp.org/papers/2010-Interspeech-LiuZH-A2-EI-Conf.PDF","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1488461535","https://openalex.org/W1552037817","https://openalex.org/W1579912292","https://openalex.org/W1828401780","https://openalex.org/W1880262756","https://openalex.org/W2018627475","https://openalex.org/W2096289676","https://openalex.org/W2118612506","https://openalex.org/W2144211451"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"We":[0,60,120],"propose":[1,122],"a":[2,54,66,91,111,123],"maximum":[3],"lexical":[4,14,51,63,151,158],"cohesion":[5,52,64,94],"(MLC)":[6],"approach":[7,17,147],"to":[8,20,75,90,127],"news":[9],"story":[10,22,58,136,155],"segmentation.":[11],"Unlike":[12],"sentence-dependent":[13],"methods,":[15],"our":[16,145],"is":[18,30,96],"able":[19],"detect":[21],"boundaries":[23,137],"at":[24],"finer":[25],"word/subword":[26],"granularity,":[27],"and":[28,53,110,133],"thus":[29],"more":[31],"suitable":[32],"for":[33],"speech":[34],"recognition":[35],"transcripts":[36],"which":[37],"have":[38],"no":[39],"sentence":[40],"delimiters.":[41],"The":[42],"proposed":[43],"segmentation":[44,131],"goodness":[45,132],"measure":[46,95],"takes":[47],"account":[48,82],"of":[49,57,65,83,87],"both":[50],"prior":[55],"preference":[56],"length.":[59],"mea-sure":[61],"the":[62,69,84,93,105,130],"segment":[67],"by":[68,99],"KL-divergence":[70],"from":[71,117],"its":[72],"word":[73,101,160],"distribution":[74],"an":[76],"associated":[77],"piecewise":[78],"uniform":[79],"distribution.":[80],"Taking":[81],"uneven":[85],"contributions":[86],"dif-ferent":[88],"words":[89],"story,":[92],"further":[97],"refined":[98],"two":[100],"weighting":[102,113],"schemes,":[103],"i.e.":[104],"inverse":[106],"document":[107,168],"fre-quency":[108],"(IDF)":[109],"new":[112],"method":[114],"called":[115],"difference":[116],"expectation":[118],"(DFE).":[119],"then":[121],"dynamic":[124,162],"program-ming":[125],"solution":[126],"exactly":[128],"maximize":[129],"efficiently":[134],"locate":[135],"in":[138],"polynomial":[139],"time.":[140],"Ex-perimental":[141],"results":[142],"show":[143],"that":[144],"MLC":[146],"outperforms":[148],"several":[149],"state-of-the-art":[150],"methods.":[152],"Index":[153],"Terms:":[154],"segmentation,":[156,166],"KL-divergence,":[157],"co-hesion,":[159],"weighting,":[161],"programming,":[163],"spoken":[164,167],"docu-ment":[165],"retrieval":[169],"1.":[170]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
