{"id":"https://openalex.org/W48881744","doi":"https://doi.org/10.21437/interspeech.2007-595","title":"A Bayesian network classifier for word-level reading assessment","display_name":"A Bayesian network classifier for word-level reading assessment","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W48881744","doi":"https://doi.org/10.21437/interspeech.2007-595","mag":"48881744"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2007-595","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","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/A5021103572","display_name":"Joseph Tepperman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph Tepperman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111484450","display_name":"Matthew Black","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew Black","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111834990","display_name":"Patti Price","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patti Price","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102118359","display_name":"Sungbok Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sungbok Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019787390","display_name":"Abe Kazemzadeh","orcid":"https://orcid.org/0000-0002-1851-294X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abe Kazemzadeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000540315","display_name":"Matteo Gerosa","orcid":"https://orcid.org/0000-0001-7741-0436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matteo Gerosa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074113169","display_name":"Margaret Heritage","orcid":"https://orcid.org/0000-0002-9963-4745"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Margaret Heritage","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112421995","display_name":"Abeer Alwan","orcid":"https://orcid.org/0000-0003-3390-9379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abeer Alwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010028928","display_name":"Shrikanth Narayanan","orcid":"https://orcid.org/0000-0002-1052-6204"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shrikanth S. Narayanan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0031,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87177993,"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":"2185","last_page":"2188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9890999794006348,"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":0.9855999946594238,"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":0.7750153541564941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6272270679473877},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.552460253238678},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5315325856208801},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47792941331863403},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46510156989097595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34124135971069336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750153541564941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6272270679473877},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.552460253238678},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5315325856208801},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47792941331863403},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46510156989097595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34124135971069336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2007-595","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W57619689","https://openalex.org/W74970197","https://openalex.org/W102979914","https://openalex.org/W154141803","https://openalex.org/W340894044","https://openalex.org/W1570448133","https://openalex.org/W1817561967","https://openalex.org/W2066086299","https://openalex.org/W2106125881","https://openalex.org/W2979006918"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3200179079","https://openalex.org/W4385957992","https://openalex.org/W2556319748"],"abstract_inverted_index":{"To":[0],"automatically":[1],"assess":[2],"young":[3],"children\u2019s":[4],"reading":[5,38,51,112],"skills":[6],"as":[7,40],"demonstrated":[8],"by":[9,97,104],"isolated":[10],"words":[11],"read":[12],"aloud,":[13],"we":[14],"propose":[15],"a":[16,20,47,100],"novel":[17],"structure":[18],"for":[19,78],"Bayesian":[21,54],"Network":[22],"classifier.":[23],"Our":[24],"network":[25,90],"models":[26],"the":[27,60,75,85,92,115,125],"generative":[28],"story":[29],"among":[30,63],"speech":[31],"recognition-based":[32],"features,":[33,66,84],"treating":[34],"pronunciation":[35],"variants":[36],"and":[37,67,99],"mistakes":[39],"distinct":[41],"but":[42],"not":[43],"independent":[44],"cues":[45],"to":[46,58,68],"qualitative":[48],"perception":[49],"of":[50,88,108,122],"ability.":[52],"This":[53,119],"approach":[55],"allows":[56],"us":[57],"estimate":[59],"probabilistic":[61],"dependencies":[62],"many":[64],"highly-correlated":[65],"calculate":[69],"soft":[70],"decision":[71,94],"scores":[72,113],"based":[73],"on":[74,114],"posterior":[76],"probabilities":[77],"each":[79],"class.":[80],"With":[81],"all":[82],"proposed":[83],"best":[86,120],"version":[87],"our":[89],"outperforms":[91],"C4.5":[93],"tree":[95],"classifier":[96,103],"17%":[98],"Naive":[101],"Bayes":[102],"8%,":[105],"in":[106],"terms":[107],"correlation":[109,121],"with":[110],"speaker-level":[111],"Tball":[116],"data":[117],"set.":[118],"0.92":[123],"approaches":[124],"expert":[126],"inter-evaluator":[127],"correlation,":[128],"0.95.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
