{"id":"https://openalex.org/W87800802","doi":"https://doi.org/10.21437/interspeech.2009-120","title":"Measuring tagging performance of a joint language model","display_name":"Measuring tagging performance of a joint language model","publication_year":2009,"publication_date":"2009-09-06","ids":{"openalex":"https://openalex.org/W87800802","doi":"https://doi.org/10.21437/interspeech.2009-120","mag":"87800802"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2009-120","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","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/A5017041805","display_name":"Denis Filimonov","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Denis Filimonov","raw_affiliation_strings":["University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113657967","display_name":"Mary P. Harper","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary Harper","raw_affiliation_strings":["University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017041805"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":1.8128,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86645288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2667","last_page":"2670"},"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/T10201","display_name":"Speech Recognition and Synthesis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.9461483955383301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8657016754150391},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6969923377037048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6562424898147583},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.6381233930587769},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.636802077293396},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6085588335990906},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.591663122177124},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5067890286445618},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3275704085826874}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9461483955383301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8657016754150391},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6969923377037048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6562424898147583},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.6381233930587769},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.636802077293396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6085588335990906},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.591663122177124},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5067890286445618},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3275704085826874},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2009-120","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3190074090","display_name":null,"funder_award_id":"HR0011-06-C-0023","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G8443172324","display_name":"RI: Collaborative Research: Landmark-based Robust Speech Recognition Using Prosody-Guided Models of Speech Variability","funder_award_id":"0703859","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1644582922","https://openalex.org/W1924403233","https://openalex.org/W1996430422","https://openalex.org/W2005505724","https://openalex.org/W2056250865","https://openalex.org/W2080018251","https://openalex.org/W2080637049","https://openalex.org/W2081295016","https://openalex.org/W2096072088","https://openalex.org/W2099345940","https://openalex.org/W2113691817","https://openalex.org/W2142570735","https://openalex.org/W2154326713","https://openalex.org/W2155280192","https://openalex.org/W2155693943","https://openalex.org/W2160360506","https://openalex.org/W2165980427","https://openalex.org/W2170986599","https://openalex.org/W2951311743","https://openalex.org/W4234159136"],"related_works":["https://openalex.org/W2169518243","https://openalex.org/W2252095989","https://openalex.org/W4322096525","https://openalex.org/W2551914602","https://openalex.org/W4287323699","https://openalex.org/W4281893144","https://openalex.org/W2105076537","https://openalex.org/W2084531783","https://openalex.org/W2902731467","https://openalex.org/W2787311093"],"abstract_inverted_index":{"Predicting":[0],"syntactic":[1,50,83,103],"information":[2,30,51,104],"in":[3],"a":[4,61],"joint":[5,62],"language":[6,40],"model":[7,17,100],"(LM)":[8],"has":[9],"been":[10],"shown":[11],"not":[12,65],"only":[13,66],"to":[14,31,34,67,69,77,80],"improve":[15],"the":[16,43,49,54,96,106,118],"at":[18,101],"its":[19],"main":[20],"task":[21,109],"of":[22,45,72,98],"predicting":[23,102],"words,":[24],"but":[25,75],"it":[26],"also":[27,76],"allows":[28],"this":[29,57],"be":[32,78],"passed":[33],"other":[35,88],"applications,":[36],"such":[37,90],"as":[38,85,87,91],"spoken":[39],"processing.This":[41],"raises":[42],"question":[44],"just":[46],"how":[47],"accurate":[48],"predicted":[52],"by":[53],"LM":[55,63],"is.In":[56],"paper,":[58],"we":[59],"present":[60],"designed":[64],"scale":[68],"large":[70],"quantities":[71],"training":[73],"data,":[74],"able":[79],"utilize":[81],"fine-grain":[82],"information,":[84],"well":[86],"features,":[89],"morphology":[92],"and":[93,114],"prosody.We":[94],"evaluate":[95],"accuracy":[97],"our":[99],"on":[105,115],"POS":[107,112],"tagging":[108],"against":[110,117],"state-ofthe-art":[111],"taggers":[113],"perplexity":[116],"ngram":[119],"model.":[120]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
