{"id":"https://openalex.org/W2951428663","doi":"https://doi.org/10.18653/v1/p19-1005","title":"Boosting Dialog Response Generation","display_name":"Boosting Dialog Response Generation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951428663","doi":"https://doi.org/10.18653/v1/p19-1005","mag":"2951428663"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1005","pdf_url":"https://www.aclweb.org/anthology/P19-1005.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1005.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114950325","display_name":"Wenchao Du","orcid":"https://orcid.org/0000-0001-9237-7048"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenchao Du","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107337645","display_name":"Alan W. Black","orcid":"https://orcid.org/0000-0001-8820-8831"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan W Black","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114950325"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.3238,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93894814,"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":"38","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T12031","display_name":"Speech and dialogue systems","score":0.9980999827384949,"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":0.9922999739646912,"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/boosting","display_name":"Boosting (machine learning)","score":0.8782208561897278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.747509777545929},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.6793991327285767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5370219349861145},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3372122645378113},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11963102221488953}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8782208561897278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747509777545929},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.6793991327285767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5370219349861145},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3372122645378113},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11963102221488953}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1005","pdf_url":"https://www.aclweb.org/anthology/P19-1005.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1005","pdf_url":"https://www.aclweb.org/anthology/P19-1005.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G574185058","display_name":null,"funder_award_id":"1722822","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951428663.pdf","grobid_xml":"https://content.openalex.org/works/W2951428663.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1988790447","https://openalex.org/W2099471712","https://openalex.org/W2101044864","https://openalex.org/W2101105183","https://openalex.org/W2130942839","https://openalex.org/W2154652894","https://openalex.org/W2508728158","https://openalex.org/W2573380384","https://openalex.org/W2580192806","https://openalex.org/W2581637843","https://openalex.org/W2584268338","https://openalex.org/W2592408322","https://openalex.org/W2734443755","https://openalex.org/W2752172973","https://openalex.org/W2756487349","https://openalex.org/W2890274659","https://openalex.org/W2962691366","https://openalex.org/W2962717182","https://openalex.org/W2963206148","https://openalex.org/W2963790827","https://openalex.org/W2963825865","https://openalex.org/W2963932569","https://openalex.org/W2964137876","https://openalex.org/W3022187094","https://openalex.org/W4301230920","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W2795961259","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W4298396513","https://openalex.org/W2283130723","https://openalex.org/W103938586","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Neural":[0],"models":[1],"have":[2],"become":[3],"one":[4],"of":[5,83],"the":[6,20,27,30,59,79,84],"most":[7,21],"important":[8],"approaches":[9],"to":[10,18],"dialog":[11],"response":[12],"generation.":[13],"However,":[14],"they":[15],"still":[16],"tend":[17],"generate":[19],"common":[22],"and":[23,42,55,65,81,95],"generic":[24],"responses":[25,85],"in":[26],"corpus":[28],"all":[29,88],"time.":[31],"To":[32],"address":[33],"this":[34],"problem,":[35],"we":[36],"designed":[37],"an":[38],"iterative":[39],"training":[40,54],"process":[41],"ensemble":[43],"method":[44,51],"based":[45],"on":[46],"boosting.":[47],"We":[48],"combined":[49],"our":[50,74],"with":[52],"different":[53],"decoding":[56,64],"paradigms":[57],"as":[58],"base":[60,89],"model,":[61],"including":[62],"mutual-information-based":[63],"reward-augmented":[66],"maximum":[67],"likelihood":[68],"learning.":[69],"Empirical":[70],"results":[71],"show":[72],"that":[73],"approach":[75],"can":[76],"significantly":[77],"improve":[78],"diversity":[80],"relevance":[82],"generated":[86],"by":[87,92],"models,":[90],"backed":[91],"objective":[93],"measurements":[94],"human":[96],"evaluation.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}