{"id":"https://openalex.org/W2050340300","doi":"https://doi.org/10.1145/1643823.1643854","title":"Efficient linear text segmentation based on information retrieval techniques","display_name":"Efficient linear text segmentation based on information retrieval techniques","publication_year":2009,"publication_date":"2009-10-27","ids":{"openalex":"https://openalex.org/W2050340300","doi":"https://doi.org/10.1145/1643823.1643854","mag":"2050340300"},"language":"en","primary_location":{"id":"doi:10.1145/1643823.1643854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1643823.1643854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Management of Emergent Digital EcoSystems","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/A5014398832","display_name":"Roman Kern","orcid":"https://orcid.org/0000-0003-0202-6100"},"institutions":[{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Roman Kern","raw_affiliation_strings":["Know-Center, Graz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Know-Center, Graz","institution_ids":["https://openalex.org/I4210088621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006866152","display_name":"Michael Granitzer","orcid":"https://orcid.org/0000-0003-3566-5507"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Michael Granitzer","raw_affiliation_strings":["Graz University of Technology, Graz","Graz University of Technology, Graz#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graz University of Technology, Graz","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Graz University of Technology, Graz#TAB#","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4449,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89896703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"171"},"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":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9977999925613403,"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":0.7722157835960388},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7536113262176514},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6918274164199829},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6717725992202759},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6577578783035278},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.5178627967834473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5152649879455566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39855092763900757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3967714309692383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722157835960388},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7536113262176514},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6918274164199829},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6717725992202759},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6577578783035278},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.5178627967834473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152649879455566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39855092763900757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3967714309692383},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1643823.1643854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1643823.1643854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Management of Emergent Digital EcoSystems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.567.6551","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.567.6551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://know-center.tugraz.at/download_extern/papers/kern-efficient-medes-2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1216975658","https://openalex.org/W1488461535","https://openalex.org/W1495373554","https://openalex.org/W1557074680","https://openalex.org/W1626945812","https://openalex.org/W1828401780","https://openalex.org/W1993963873","https://openalex.org/W2022677886","https://openalex.org/W2028757787","https://openalex.org/W2057525273","https://openalex.org/W2080179128","https://openalex.org/W2100873065","https://openalex.org/W2117413750","https://openalex.org/W2121184547","https://openalex.org/W2148818577","https://openalex.org/W2149367074","https://openalex.org/W2158652061","https://openalex.org/W2159083595","https://openalex.org/W2161793958","https://openalex.org/W2949496004"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W2393351060","https://openalex.org/W961142965"],"abstract_inverted_index":{"The":[0,21,63],"task":[1,30],"of":[2,18,35,51,58,65,72],"linear":[3],"text":[4,11],"segmentation":[5],"is":[6,68],"to":[7],"split":[8],"a":[9,48,61],"large":[10],"document":[12],"into":[13],"shorter":[14],"fragments,":[15],"usually":[16],"blocks":[17],"consecutive":[19],"sentences.":[20],"algorithms":[22,71],"that":[23,46,83],"demonstrated":[24],"the":[25,33,56],"best":[26],"performance":[27,64],"for":[28],"this":[29],"come":[31],"at":[32],"price":[34],"high":[36],"computational":[37,49],"complexity.":[38],"In":[39],"our":[40,66,84],"work":[41],"we":[42,81],"present":[43],"an":[44],"algorithm":[45],"has":[47],"complexity":[50,74],"O(n)":[52],"with":[53],"n":[54],"being":[55],"number":[57],"sentences":[59],"in":[60],"document.":[62],"approach":[67,85],"evaluated":[69],"against":[70],"higher":[73],"using":[75],"standard":[76],"benchmark":[77],"data":[78],"sets":[79],"and":[80],"demonstrate":[82],"provides":[86],"comparable":[87],"accuracy.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
