{"id":"https://openalex.org/W2160879964","doi":"https://doi.org/10.21437/interspeech.2005-561","title":"Tree-based prediction of prosodic phrase breaks on top of shallow textual features","display_name":"Tree-based prediction of prosodic phrase breaks on top of shallow textual features","publication_year":2005,"publication_date":"2005-09-04","ids":{"openalex":"https://openalex.org/W2160879964","doi":"https://doi.org/10.21437/interspeech.2005-561","mag":"2160879964"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2005-561","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","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/A5004819616","display_name":"Gerasimos Xydas","orcid":"https://orcid.org/0009-0003-7817-5791"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Gerasimos Xydas","raw_affiliation_strings":["Department of Informatics and Telecommunications, University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics and Telecommunications, University of Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091820192","display_name":"Panagiotis Zervas","orcid":"https://orcid.org/0000-0002-6531-4022"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Zervas","raw_affiliation_strings":["Electrical and Computer Engineering Dept., University of Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Dept., University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050644786","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u039a\u03bf\u03c5\u03c1\u03bf\u03c5\u03c0\u03ad\u03c4\u03c1\u03bf\u03b3\u03bb\u03bf\u03c5","orcid":"https://orcid.org/0000-0003-4633-9475"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Kouroupetroglou","raw_affiliation_strings":["Department of Informatics and Telecommunications, University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics and Telecommunications, University of Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108349294","display_name":"Nikolaos Fakotakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Fakotakis","raw_affiliation_strings":["Electrical and Computer Engineering Dept., University of Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Dept., University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109187402","display_name":"George Kokkinakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Kokkinakis","raw_affiliation_strings":["Electrical and Computer Engineering Dept., University of Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Dept., University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1617557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3237","last_page":"3240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9965999722480774,"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":0.9918000102043152,"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":0.7150353193283081},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6787113547325134},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6237265467643738},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5884667634963989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322285294532776},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.350569486618042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10359731316566467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150353193283081},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6787113547325134},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6237265467643738},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5884667634963989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322285294532776},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.350569486618042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10359731316566467},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2005-561","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.82.658","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.82.658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://speech.di.uoa.gr/sppages/spppdf/intespeech2005.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W10540820","https://openalex.org/W65791558","https://openalex.org/W92308982","https://openalex.org/W162654330","https://openalex.org/W1521476198","https://openalex.org/W1559644489","https://openalex.org/W1594031697","https://openalex.org/W1599910466","https://openalex.org/W1907547768","https://openalex.org/W1942270970","https://openalex.org/W2025617415","https://openalex.org/W2059170137","https://openalex.org/W2112081648","https://openalex.org/W2116043656","https://openalex.org/W2125055259","https://openalex.org/W2126155202","https://openalex.org/W2145699207","https://openalex.org/W2153804780","https://openalex.org/W2330820318","https://openalex.org/W2990668969","https://openalex.org/W3085162807","https://openalex.org/W3146055280","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W2012262991","https://openalex.org/W2373794620","https://openalex.org/W2060629350","https://openalex.org/W2357294589","https://openalex.org/W2386861027","https://openalex.org/W2349302580","https://openalex.org/W2390154576","https://openalex.org/W2916983164","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"paper":[1],"reports":[2],"on":[3,60],"the":[4,17,61,76,83,87,95,104],"evaluation":[5,72],"of":[6,30,97,119],"automatic":[7],"prosodic":[8,44],"phrase":[9],"break":[10,26],"assignment.":[11],"We":[12,37],"utilize":[13],"two":[14,41,48],"tree-structured":[15],"predictors,":[16],"commonly":[18],"used":[19],"CART":[20,88,111],"and":[21,67],"a":[22,116],"C4.5,":[23],"to":[24,32,58,102,108],"predict":[25,109],"placement":[27],"from":[28,53],"sequences":[29],"easy":[31],"extract":[33],"shallow":[34],"textual":[35],"features.":[36],"are":[38],"experimenting":[39],"with":[40,94,121],"500-utterance":[42],"sized":[43],"corpora":[45],"developed":[46],"by":[47],"Greek":[49],"universities":[50],"that":[51,74],"originate":[52],"different":[54],"domains":[55],"in":[56,63,86,110],"order":[57],"focus":[59],"differences":[62],"prediction":[64],"between":[65],"generic":[66,84],"limited":[68,77],"domain":[69],"datasets.":[70],"The":[71],"shows":[73],"while":[75,113],"dataset":[78],"achieves":[79],"better":[80],"accuracy":[81],"than":[82],"one":[85],"case,":[89,112],"this":[90],"difference":[91],"is":[92],"lowered":[93],"introduction":[96],"C4.5.":[98,122],"Minor":[99],"breaks":[100],"proved":[101],"be":[103],"most":[105],"difficult":[106],"class":[107],"we":[114],"achieved":[115],"50":[117],"%":[118],"improvement":[120],"1.":[123]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
