{"id":"https://openalex.org/W2973512820","doi":"https://doi.org/10.1109/mis.2019.2916965","title":"Learning From Personal Longitudinal Dialog Data","display_name":"Learning From Personal Longitudinal Dialog Data","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2973512820","doi":"https://doi.org/10.1109/mis.2019.2916965","mag":"2973512820"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2019.2916965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2019.2916965","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-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/A5056753433","display_name":"Charles Welch","orcid":"https://orcid.org/0000-0002-3489-2882"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Charles Welch","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007955173","display_name":"Ver\u00f3nica P\u00e9rez\u2010Rosas","orcid":"https://orcid.org/0000-0003-0581-2334"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Veronica Perez-Rosas","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057970781","display_name":"Jonathan K. Kummerfeld","orcid":"https://orcid.org/0000-0001-5030-3016"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan K. Kummerfeld","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082450455","display_name":"Rada Mihalcea","orcid":"https://orcid.org/0000-0002-0767-6703"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rada Mihalcea","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056753433"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.5402,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8752441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"34","issue":"4","first_page":"16","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T12031","display_name":"Speech and dialogue systems","score":0.9995999932289124,"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":0.9959999918937683,"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":0.8632256984710693},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.8588315844535828},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7207369804382324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5394518971443176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4800768494606018},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4110877811908722},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33515000343322754},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13852447271347046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8632256984710693},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.8588315844535828},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7207369804382324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5394518971443176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4800768494606018},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4110877811908722},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33515000343322754},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13852447271347046},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2019.2916965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2019.2916965","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3990629294","display_name":null,"funder_award_id":"#61156","funder_id":"https://openalex.org/F4320306193","funder_display_name":"John Templeton Foundation"},{"id":"https://openalex.org/G8402238061","display_name":null,"funder_award_id":"#1815291","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8825253303","display_name":null,"funder_award_id":"#HR001117S0026-AIDA-FP-045","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306193","display_name":"John Templeton Foundation","ror":"https://ror.org/035tnyy05"},{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320333858","display_name":"Michigan Institute for Data Science, University of Michigan","ror":null},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1518951372","https://openalex.org/W1971817345","https://openalex.org/W2064675550","https://openalex.org/W2117410972","https://openalex.org/W2124158915","https://openalex.org/W2125320996","https://openalex.org/W2127411301","https://openalex.org/W2130703925","https://openalex.org/W2140910804","https://openalex.org/W2146516605","https://openalex.org/W2157579446","https://openalex.org/W2163074454","https://openalex.org/W2250539671","https://openalex.org/W2252926514","https://openalex.org/W2373570000","https://openalex.org/W2599743206","https://openalex.org/W2912904516","https://openalex.org/W2942152398","https://openalex.org/W2962854379","https://openalex.org/W2964300796","https://openalex.org/W3099138433","https://openalex.org/W4205214842","https://openalex.org/W4236107295","https://openalex.org/W6678868705","https://openalex.org/W6755960745","https://openalex.org/W6761712505","https://openalex.org/W6784997385","https://openalex.org/W7001627686"],"related_works":["https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W2283130723","https://openalex.org/W103938586","https://openalex.org/W2104718772","https://openalex.org/W4233992201","https://openalex.org/W1977846844","https://openalex.org/W2368721880"],"abstract_inverted_index":{"We":[0,20],"explore":[1],"the":[2,45],"use":[3,76],"of":[4,33,55],"longitudinal":[5],"dialog":[6,10],"data":[7,28],"for":[8,48],"two":[9],"prediction":[11,15],"tasks:":[12],"next":[13],"message":[14,34,67],"and":[16,40,69],"response":[17],"time":[18,38],"prediction.":[19],"show":[21],"that":[22,29,63,73],"a":[23,31,61,71],"neural":[24],"model":[25],"using":[26],"personal":[27,77],"leverages":[30],"combination":[32],"content,":[35],"style":[36],"matching,":[37],"features,":[39],"speaker":[41],"attributes":[42],"leads":[43],"to":[44,57,60,70],"best":[46],"results":[47],"both":[49],"tasks,":[50],"with":[51],"error":[52],"rate":[53],"reductions":[54],"up":[56],"15%":[58],"compared":[59],"classifier":[62,72],"relies":[64],"exclusively":[65],"on":[66],"content":[68],"does":[74],"not":[75],"data.":[78]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}