{"id":"https://openalex.org/W2137636595","doi":"https://doi.org/10.3115/1220175.1220201","title":"Learning the structure of task-driven human-human dialogs","display_name":"Learning the structure of task-driven human-human dialogs","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2137636595","doi":"https://doi.org/10.3115/1220175.1220201","mag":"2137636595"},"language":"en","primary_location":{"id":"doi:10.3115/1220175.1220201","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1220175.1220201","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1220201&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL  - ACL '06","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=1220201&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111475783","display_name":"Srinivas Bangalore","orcid":null},"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":true,"raw_author_name":"Srinivas Bangalore","raw_affiliation_strings":["AT&T Labs-Research 180 Park Ave Florham Park, NJ 07932","AT&T Labs\u2014\u2014Research, Florham Park, NJ#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research 180 Park Ave Florham Park, NJ 07932","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":"middle","author":{"id":"https://openalex.org/A5075086104","display_name":"Giuseppe Di Fabbrizio","orcid":null},"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":"Giuseppe Di Fabbrizio","raw_affiliation_strings":["AT&T Labs\u2014\u2014Research, Florham Park, NJ#TAB#"],"affiliations":[{"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/A5053693571","display_name":"Amanda Stent","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amanda Stent","raw_affiliation_strings":["Dept of Computer Science Stony Brook University Stony Brook, NY","Stony Brook University,Stony Brook,NY"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science Stony Brook University Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University,Stony Brook,NY","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111475783"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":8.8489,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.97649642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T12031","display_name":"Speech and dialogue systems","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9994000196456909,"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":0.8729037046432495},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.8496187925338745},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7266459465026855},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6519411206245422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6277508735656738},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6047238111495972},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.5592841506004333},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.533123791217804},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42844358086586},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10189282894134521},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09690853953361511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8729037046432495},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.8496187925338745},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7266459465026855},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6519411206245422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6277508735656738},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6047238111495972},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.5592841506004333},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.533123791217804},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42844358086586},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10189282894134521},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09690853953361511},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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":1,"locations":[{"id":"doi:10.3115/1220175.1220201","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1220175.1220201","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1220201&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL  - ACL '06","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/1220175.1220201","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1220175.1220201","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1220201&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL  - ACL '06","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2137636595.pdf","grobid_xml":"https://content.openalex.org/works/W2137636595.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W117128830","https://openalex.org/W164723697","https://openalex.org/W178316770","https://openalex.org/W200223693","https://openalex.org/W203030180","https://openalex.org/W289084185","https://openalex.org/W1523171189","https://openalex.org/W1528941926","https://openalex.org/W1530049455","https://openalex.org/W1546396969","https://openalex.org/W1582147469","https://openalex.org/W1600735390","https://openalex.org/W1681299129","https://openalex.org/W1735309676","https://openalex.org/W1911976934","https://openalex.org/W2010157494","https://openalex.org/W2019099223","https://openalex.org/W2021208044","https://openalex.org/W2024213584","https://openalex.org/W2044755726","https://openalex.org/W2052049451","https://openalex.org/W2076891662","https://openalex.org/W2083205357","https://openalex.org/W2094484179","https://openalex.org/W2096175520","https://openalex.org/W2098442941","https://openalex.org/W2109730238","https://openalex.org/W2123893795","https://openalex.org/W2126808695","https://openalex.org/W2128970689","https://openalex.org/W2134353544","https://openalex.org/W2146393546","https://openalex.org/W2149714247","https://openalex.org/W2167702024","https://openalex.org/W2406314122","https://openalex.org/W2426479676","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W48079147","https://openalex.org/W2394821827","https://openalex.org/W2563921006","https://openalex.org/W1963944933","https://openalex.org/W1600043506","https://openalex.org/W2111550420","https://openalex.org/W2549666521","https://openalex.org/W3133893348","https://openalex.org/W1977846844","https://openalex.org/W2901575119"],"abstract_inverted_index":{"Data-driven":[0],"techniques":[1],"have":[2],"been":[3],"used":[4],"for":[5],"many":[6],"computational":[7],"linguistics":[8],"tasks.":[9],"Models":[10],"derived":[11],"from":[12,84],"data":[13],"are":[14],"generally":[15],"more":[16],"robust":[17],"than":[18],"hand-crafted":[19],"systems":[20],"since":[21],"they":[22],"better":[23],"reflect":[24],"the":[25,28,33,46],"distribution":[26],"of":[27,35,38,48,67],"phenomena":[29],"being":[30],"modeled.":[31],"With":[32],"availability":[34],"large":[36],"corpora":[37],"spoken":[39],"dialog,":[40],"dialog":[41],"management":[42],"is":[43],"now":[44],"reaping":[45],"benefits":[47],"data-driven":[49],"techniques.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"compare":[55],"two":[56],"approaches":[57],"to":[58],"modeling":[59],"subtask":[60],"structure":[61],"in":[62],"dialog:":[63],"a":[64,71,85],"chunk-based":[65],"model":[66],"subdialog":[68],"sequences,":[69],"and":[70],"parse-based,":[72],"or":[73],"hierarchical,":[74],"model.":[75],"We":[76],"evaluate":[77],"these":[78],"models":[79],"using":[80],"customer":[81],"agent":[82],"dialogs":[83],"catalog":[86],"service":[87],"domain.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
