{"id":"https://openalex.org/W2252026563","doi":"https://doi.org/10.18653/v1/d13-1126","title":"Simulating Early-Termination Search for Verbose Spoken Queries","display_name":"Simulating Early-Termination Search for Verbose Spoken Queries","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2252026563","doi":"https://doi.org/10.18653/v1/d13-1126","mag":"2252026563"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1126","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1126","pdf_url":"https://aclanthology.org/D13-1126.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1126.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060549708","display_name":"Jerome White","orcid":"https://orcid.org/0000-0003-4148-8834"},"institutions":[{"id":"https://openalex.org/I4210129961","display_name":"IBM (India)","ror":"https://ror.org/034ahpr11","country_code":"IN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210129961"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jerome White","raw_affiliation_strings":["IBM Research Bangalore , KA India","IBM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Bangalore , KA India","institution_ids":["https://openalex.org/I4210129961"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074322406","display_name":"Douglas W. Oard","orcid":"https://orcid.org/0000-0002-1696-0407"},"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":"Douglas W. Oard","raw_affiliation_strings":["University of Maryland College Park , MD USA","University of Maryland - College Park"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland College Park , MD USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland - College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109086475","display_name":"Nitendra Rajput","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitendra Rajput","raw_affiliation_strings":["IBM Research New Delhi , India","IBM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research New Delhi , India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032802965","display_name":"Marion Zalk","orcid":"https://orcid.org/0000-0002-5865-5179"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Marion Zalk","raw_affiliation_strings":["University of Melbourne Melbourne , VIC Australia","University of Melbourne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Melbourne Melbourne , VIC Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2298,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52484507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1270","last_page":"1280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9937999844551086,"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":0.9937999844551086,"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/T13194","display_name":"ICT in Developing Communities","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.992900013923645,"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":0.8669765591621399},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6364444494247437},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5907278060913086},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.5098528265953064},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.5058209896087646},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.498457670211792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4789598286151886},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.47718870639801025},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.45682835578918457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8669765591621399},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6364444494247437},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5907278060913086},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.5098528265953064},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.5058209896087646},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.498457670211792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4789598286151886},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.47718870639801025},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.45682835578918457},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d13-1126","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1126","pdf_url":"https://aclanthology.org/D13-1126.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.467.8123","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.8123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://terpconnect.umd.edu/~oard/pdf/emnlp13.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.592.9056","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.9056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D13/D13-1126.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.3150","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.3150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://async.caltech.edu/%7Ejerome/research/pub/2013-emnlp.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1126","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1126","pdf_url":"https://aclanthology.org/D13-1126.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2252026563.pdf","grobid_xml":"https://content.openalex.org/works/W2252026563.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W127645672","https://openalex.org/W133394232","https://openalex.org/W1481128830","https://openalex.org/W1490960657","https://openalex.org/W1507711477","https://openalex.org/W1602368597","https://openalex.org/W1967390364","https://openalex.org/W1974030833","https://openalex.org/W2014524031","https://openalex.org/W2048587526","https://openalex.org/W2050309898","https://openalex.org/W2058200372","https://openalex.org/W2062574890","https://openalex.org/W2075722833","https://openalex.org/W2079168273","https://openalex.org/W2080141381","https://openalex.org/W2087131461","https://openalex.org/W2087818911","https://openalex.org/W2104652891"],"related_works":["https://openalex.org/W2352440174","https://openalex.org/W4309440960","https://openalex.org/W2062168445","https://openalex.org/W4250539519","https://openalex.org/W2348940229","https://openalex.org/W4294018197","https://openalex.org/W2363046693","https://openalex.org/W2389491697","https://openalex.org/W4301044699","https://openalex.org/W2067476155"],"abstract_inverted_index":{"Building":[0],"search":[1],"engines":[2],"that":[3,13,26,56,58,60,72,98],"can":[4,89],"respond":[5],"to":[6,20,39,42],"spoken":[7,10,52],"queries":[8,51],"with":[9,50,80],"content":[11,63,100],"requires":[12],"the":[14,36],"system":[15],"not":[16],"just":[17],"be":[18,40],"able":[19,41],"find":[21],"useful":[22,93,99],"responses,":[23],"but":[24],"also":[25],"it":[27,30],"know":[28],"when":[29,97],"has":[31,101],"heard":[32],"enough":[33],"about":[34],"what":[35],"user":[37],"wants":[38],"do":[43],"so.This":[44],"paper":[45],"describes":[46],"a":[47,68,92],"simulation":[48],"study":[49],"by":[53],"non-native":[54],"speakers":[55],"suggests":[57],"indicates":[59],"finding":[61],"relevant":[62],"is":[64],"often":[65],"possible":[66],"within":[67],"half":[69],"minute,":[70],"and":[71],"combining":[73],"features":[74,81],"based":[75],"on":[76],"automatically":[77],"recognized":[78],"words":[79],"designed":[82],"for":[83,95],"automated":[84],"prediction":[85],"of":[86],"query":[87],"difficulty":[88],"serve":[90],"as":[91],"basis":[94],"predicting":[96],"been":[102],"found.":[103]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
