{"id":"https://openalex.org/W20483661","doi":"https://doi.org/10.21437/eurospeech.1997-422","title":"A maximum likelihood model for topic classification of broadcast news","display_name":"A maximum likelihood model for topic classification of broadcast news","publication_year":1997,"publication_date":"1997-09-22","ids":{"openalex":"https://openalex.org/W20483661","doi":"https://doi.org/10.21437/eurospeech.1997-422","mag":"20483661"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1997-422","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","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/A5089653752","display_name":"Richard Schwartz","orcid":"https://orcid.org/0000-0002-4654-624X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Richard Schwartz","raw_affiliation_strings":["BBN Technologies ,"],"affiliations":[{"raw_affiliation_string":"BBN Technologies ,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055934853","display_name":"Toru Imai","orcid":"https://orcid.org/0009-0006-6715-7346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toru Imai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024017143","display_name":"Francis Kubala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francis Kubala","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048517713","display_name":"Long Nguyen","orcid":"https://orcid.org/0000-0002-0884-1635"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long Nguyen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109964084","display_name":"John Makhoul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Makhoul","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089653752"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2652,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.95166498,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1455","last_page":"1458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"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":0.989799976348877,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9884999990463257,"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":0.7700028419494629},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6908155679702759},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5578970313072205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515416264533997},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5358084440231323},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.433334082365036},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4263269603252411},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13295882940292358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10946774482727051},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09782129526138306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700028419494629},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6908155679702759},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5578970313072205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515416264533997},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5358084440231323},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.433334082365036},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4263269603252411},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13295882940292358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10946774482727051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09782129526138306},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.1997-422","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.49000000953674316},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W135592988","https://openalex.org/W182209988","https://openalex.org/W1498731359","https://openalex.org/W1975040318","https://openalex.org/W2097599384","https://openalex.org/W2098162425","https://openalex.org/W2105024701","https://openalex.org/W2116601292"],"related_works":["https://openalex.org/W3200230513","https://openalex.org/W2769501189","https://openalex.org/W2226452791","https://openalex.org/W2962686197","https://openalex.org/W4312773271","https://openalex.org/W1569283511","https://openalex.org/W2132052677","https://openalex.org/W2888805565","https://openalex.org/W4315588616","https://openalex.org/W2296205523"],"abstract_inverted_index":{"We":[0,67],"describe":[1],"a":[2],"new":[3,91],"algorithm":[4,70],"for":[5],"topic":[6,65,97],"classification":[7],"that":[8,23,29,38,60],"allows":[9],"discrimination":[10],"among":[11,99],"thousands":[12],"of":[13,17,40,58,81,105],"topics.":[14],"A":[15],"mixture":[16],"topics":[18,87],"explicitly":[19],"models":[20],"the":[21,41,69,94,100,106],"fact":[22],"each":[24],"story":[25],"has":[26,55],"multiple":[27],"topics,":[28,36],"different":[30,35,86],"words":[31,42,59],"are":[32,43],"related":[33,45],"to":[34,46],"and":[37,88],"most":[39],"not":[44],"any":[47],"topic.":[48],"The":[49],"resulting":[50],"model,":[51],"trained":[52,77],"by":[53],"EM,":[54],"sharper":[56],"distributions":[57],"result":[61],"in":[62],"more":[63],"accurate":[64],"classification.":[66],"tested":[68,89],"on":[71,78,90],"transcribed":[72],"broadcast":[73],"news":[74],"texts.":[75],"When":[76],"one":[79],"year":[80],"stories":[82,93],"containing":[83],"over":[84],"5,000":[85],"(later)":[92],"first":[95],"choice":[96],"was":[98],"manually":[101],"annotated":[102],"choices":[103],"76%":[104],"time.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}