{"id":"https://openalex.org/W2072242281","doi":"https://doi.org/10.1109/icassp.2013.6639286","title":"Measuring semantic similarity by contextualword connections in Chinese news story segmentation","display_name":"Measuring semantic similarity by contextualword connections in Chinese news story segmentation","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2072242281","doi":"https://doi.org/10.1109/icassp.2013.6639286","mag":"2072242281"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5015856593","display_name":"Xuecheng Nie","orcid":"https://orcid.org/0000-0003-2433-5983"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecheng Nie","raw_affiliation_strings":["School of Computer Science and Technology, School of Computer Software, School of Computer Software, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, School of Computer Software, School of Computer Software, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721881","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-3809-1086"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Tianjin University, Tianjin, Tianjin, CN","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, Tianjin, CN","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000209938","display_name":"Liang Wan","orcid":"https://orcid.org/0000-0001-5501-9575"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wan","raw_affiliation_strings":["Tianjin University, Tianjin, Tianjin, CN","School of Computer Software, Tianjin University Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, Tianjin, CN","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Computer Software, Tianjin University Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","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":["School of Computer Science, Northwestern Polytechnical University, Xian, China","Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8312","last_page":"8316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9968000054359436,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8076534867286682},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7233337163925171},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7033262252807617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6978693604469299},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6380537748336792},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6367912888526917},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5789861679077148},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5611368417739868},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5574987530708313},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5511212348937988},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.54721999168396},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4173746705055237},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3675837218761444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30284616351127625},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18231263756752014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15333658456802368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076534867286682},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7233337163925171},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7033262252807617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6978693604469299},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6380537748336792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6367912888526917},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5789861679077148},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5611368417739868},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5574987530708313},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5511212348937988},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.54721999168396},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4173746705055237},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3675837218761444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30284616351127625},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18231263756752014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15333658456802368},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/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.2013.6639286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.914.1409","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.914.1409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Wei_Feng14/publication/261167324_Measuring_semantic_similarity_by_contextualword_connections_in_Chinese_news_story_segmentation/links/0f317534df802aa2b6000000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W14457228","https://openalex.org/W1552037817","https://openalex.org/W1568327918","https://openalex.org/W1586951852","https://openalex.org/W2002890640","https://openalex.org/W2038721957","https://openalex.org/W2083257370","https://openalex.org/W2103318667","https://openalex.org/W2117831564","https://openalex.org/W2118612506","https://openalex.org/W2405878126","https://openalex.org/W2613678836","https://openalex.org/W2918757710","https://openalex.org/W4235505822","https://openalex.org/W4240952440","https://openalex.org/W6600606800","https://openalex.org/W6632928742","https://openalex.org/W6634107065","https://openalex.org/W6737736267"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2601444686","https://openalex.org/W4307058054","https://openalex.org/W2392760275","https://openalex.org/W126212742","https://openalex.org/W2135511601"],"abstract_inverted_index":{"A":[0],"lot":[1],"of":[2,20,66,92,131],"recent":[3],"work":[4],"in":[5],"story":[6,73,141,173],"segmentation":[7,142,154],"focuses":[8],"on":[9,27,96,134],"developing":[10],"better":[11,153],"partitioning":[12],"criteria":[13],"to":[14,51,83,106,124,169],"segment":[15],"news":[16,137],"transcripts":[17],"into":[18],"sequences":[19],"topically":[21],"coherent":[22],"stories,":[23],"while":[24],"simply":[25],"relying":[26],"the":[28,36,64,112,126,144,158],"repetition":[29],"based":[30,172],"hard":[31,159],"word-level":[32],"similarities":[33,110],"and":[34,56],"ignoring":[35],"semantic":[37,54,118,147],"correlations":[38],"between":[39,89],"different":[40],"words.":[41,94],"In":[42],"this":[43],"paper,":[44],"we":[45,98,162],"propose":[46],"a":[47,60,101],"purely":[48],"data-driven":[49],"approach":[50],"measuring":[52],"soft":[53,146],"word-":[55],"sentence-level":[57],"similarity":[58,87,119,129,148],"from":[59],"given":[61],"corpus,":[62],"without":[63],"guidance":[65],"linguistic":[67],"knowledge,":[68],"ground-truth":[69],"topic":[70],"labeling":[71],"or":[72],"boundaries.":[74],"We":[75],"show":[76,139],"that":[77],"contextual":[78,109],"word":[79,117],"connections":[80],"can":[81,150,163],"help":[82],"produce":[84,152],"semantically":[85],"meaningful":[86],"measurement":[88,130,149],"any":[90],"pair":[91],"Chinese":[93,136],"Based":[95],"this,":[97],"further":[99],"use":[100],"parallel":[102],"all-pair":[103],"SimRank":[104],"algorithm":[105],"propagate":[107],"such":[108],"throughout":[111],"whole":[113],"vocabulary.":[114],"The":[115],"resultant":[116],"matrix":[120],"is":[121],"then":[122],"used":[123],"refine":[125],"classical":[127],"cosine":[128],"sentences.":[132],"Experiments":[133],"benchmark":[135],"corpora":[138],"that,":[140],"using":[143,157],"proposed":[145],"always":[151],"accuracy":[155],"than":[156],"similarity.":[160],"Specifically,":[161],"achieve":[164],"3%-10%":[165],"average":[166],"F1-measure":[167],"improvement":[168],"state-of-the-art":[170],"NCuts":[171],"segmentation.":[174]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
