{"id":"https://openalex.org/W2096025626","doi":"https://doi.org/10.3115/1118121.1118142","title":"Training a Dialogue Act Tagger for human-human and human-computer travel dialogues","display_name":"Training a Dialogue Act Tagger for human-human and human-computer travel dialogues","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2096025626","doi":"https://doi.org/10.3115/1118121.1118142","mag":"2096025626"},"language":"en","primary_location":{"id":"doi:10.3115/1118121.1118142","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118121.1118142","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1118142&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd SIGdial workshop on Discourse and dialogue -","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=1118142&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026474261","display_name":"Rashmi Prasad","orcid":"https://orcid.org/0000-0002-3870-0630"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rashmi Prasad","raw_affiliation_strings":["AT&T Labs - Research, Florham Park, NJ","AT&T Labs\u2014\u2014Research, Florham Park, NJ#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, Florham Park, NJ","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs\u2014\u2014Research, Florham Park, NJ#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102868325","display_name":"Marilyn Walker","orcid":"https://orcid.org/0000-0003-3306-6439"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marilyn Walker","raw_affiliation_strings":["AT&T Labs - Research, Florham Park, NJ","AT&T Labs\u2014\u2014Research, Florham Park, NJ#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, Florham Park, NJ","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs\u2014\u2014Research, Florham Park, NJ#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"162","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987999796867371,"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":0.9972000122070312,"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":0.8346160650253296},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6153903603553772},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5795507431030273},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5485844612121582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5266237854957581},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49325793981552124},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36074742674827576},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32779669761657715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346160650253296},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6153903603553772},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5795507431030273},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5485844612121582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5266237854957581},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49325793981552124},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36074742674827576},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32779669761657715}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/1118121.1118142","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118121.1118142","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1118142&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd SIGdial workshop on Discourse and dialogue -","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.11.765","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/~rjprasad/papers/sigdial-ml-2002.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.132.9011","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.9011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/~rjprasad/papers/sigdial-ml-2002.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.3.5724","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.5724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/W/W02/W02-0221.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1118121.1118142","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118121.1118142","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1118142&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd SIGdial workshop on Discourse and dialogue -","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2096025626.pdf","grobid_xml":"https://content.openalex.org/works/W2096025626.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W26963497","https://openalex.org/W113375751","https://openalex.org/W147552783","https://openalex.org/W155915536","https://openalex.org/W162553800","https://openalex.org/W1517178556","https://openalex.org/W1529259873","https://openalex.org/W1558255252","https://openalex.org/W1998287854","https://openalex.org/W2068537423","https://openalex.org/W2083205357","https://openalex.org/W2096145771","https://openalex.org/W2112078429","https://openalex.org/W2167152874","https://openalex.org/W2170927607","https://openalex.org/W2599871100","https://openalex.org/W2788204336","https://openalex.org/W2791590751","https://openalex.org/W2951060323","https://openalex.org/W2953313963","https://openalex.org/W3099293669","https://openalex.org/W4214747257","https://openalex.org/W4236614580","https://openalex.org/W4285719527","https://openalex.org/W6603192601"],"related_works":["https://openalex.org/W2044488462","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W2169074127","https://openalex.org/W2163707935","https://openalex.org/W83146503","https://openalex.org/W202723009","https://openalex.org/W2188612292","https://openalex.org/W4206462905","https://openalex.org/W2165396616"],"abstract_inverted_index":{"While":[0],"dialogue":[1,9,30,61,98],"acts":[2],"provide":[3],"a":[4,29],"useful":[5],"schema":[6],"for":[7,58,72,96],"characterizing":[8],"behaviors":[10],"in":[11,25,85,125],"human-computer":[12,87,118,141,147],"and":[13,63,74,88,103,116,120,143],"human-human":[14,67,89,123,153,160],"dialogues,":[15],"their":[16],"utility":[17],"is":[18,41],"limited":[19],"by":[20],"the":[21,46,50,81,105,112,121,126,140,146,152],"huge":[22],"effort":[23],"involved":[24],"hand-labelling":[26],"dialogues":[27,90],"with":[28,49,91],"act":[31,99],"labelling":[32],"scheme.":[33],"In":[34],"this":[35],"work,":[36],"we":[37,134],"examine":[38],"whether":[39],"it":[40],"possible":[42],"to":[43,66,79],"fully":[44],"automate":[45],"tagging":[47],"task":[48],"goal":[51],"of":[52,56,111,159],"enabling":[53],"rapid":[54],"creation":[55],"corpora":[57],"evaluating":[59],"spoken":[60,86],"systems":[62],"comparing":[64],"them":[65],"dialogues.":[68],"We":[69,101],"report":[70],"results":[71,131],"training":[73,161],"testing":[75],"an":[76],"automatic":[77],"classifier":[78],"label":[80],"information":[82],"provider's":[83],"utterances":[84],"DATE":[92,106],"(Dialogue":[93],"Act":[94],"Tagging":[95],"Evaluation)":[97],"tags.":[100],"train":[102],"test":[104],"tagger":[107],"on":[108,139,151],"various":[109],"combinations":[110],"DARPA":[113],"Communicator":[114],"June-2000":[115],"October-2001":[117],"corpora,":[119],"CMU":[122],"corpus":[124],"travel":[127],"planning":[128],"domain.":[129],"Our":[130],"show":[132],"that":[133,145],"can":[135],"achieve":[136],"high":[137],"accuracies":[138],"data,":[142,154],"surprisingly,":[144],"data":[148,162],"improves":[149],"accuracy":[150],"when":[155],"only":[156],"small":[157],"amounts":[158],"are":[163],"available.":[164]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
