{"id":"https://openalex.org/W3083199591","doi":"https://doi.org/10.1145/3409256.3409823","title":"Length Adaptive Regularization for Retrieval-based Chatbot Models","display_name":"Length Adaptive Regularization for Retrieval-based Chatbot Models","publication_year":2020,"publication_date":"2020-09-05","ids":{"openalex":"https://openalex.org/W3083199591","doi":"https://doi.org/10.1145/3409256.3409823","mag":"3083199591"},"language":"en","primary_location":{"id":"doi:10.1145/3409256.3409823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409256.3409823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval","raw_type":"proceedings-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/A5048489071","display_name":"Disen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Disen Wang","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101716412","display_name":"Hui Fang","orcid":"https://orcid.org/0009-0003-1904-787X"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Fang","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048489071"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63215981,"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":"113","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T12128","display_name":"AI in Service Interactions","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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.995199978351593,"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/chatbot","display_name":"Chatbot","score":0.9756250381469727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7737470269203186},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5356158018112183},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46328702569007874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43028831481933594},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4247549772262573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35736775398254395}],"concepts":[{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.9756250381469727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737470269203186},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5356158018112183},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46328702569007874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43028831481933594},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4247549772262573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35736775398254395}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3409256.3409823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409256.3409823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W101656788","https://openalex.org/W1518951372","https://openalex.org/W1614298861","https://openalex.org/W1924770834","https://openalex.org/W2000569744","https://openalex.org/W2161466446","https://openalex.org/W2335122196","https://openalex.org/W2593751037","https://openalex.org/W2740258984","https://openalex.org/W2767064573","https://openalex.org/W2798392716","https://openalex.org/W2798456655","https://openalex.org/W2891416139","https://openalex.org/W2908331278","https://openalex.org/W2952267213","https://openalex.org/W2954086887","https://openalex.org/W2963403868","https://openalex.org/W2963797754","https://openalex.org/W2964309167","https://openalex.org/W2964352131","https://openalex.org/W3036400793","https://openalex.org/W4236521339"],"related_works":["https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4387007686","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W3084631705","https://openalex.org/W3176146353","https://openalex.org/W4293646425","https://openalex.org/W4379781060"],"abstract_inverted_index":{"Chatbots":[0],"aim":[1],"to":[2,49,57,87],"mimic":[3],"real":[4],"conversations":[5],"between":[6],"humans.":[7],"They":[8],"have":[9,69],"started":[10],"playing":[11],"an":[12],"increasingly":[13],"important":[14],"role":[15],"in":[16],"our":[17],"daily":[18],"life.":[19],"Given":[20],"past":[21],"conversations,":[22,44],"a":[23,33],"retrieval-based":[24,66],"chatbot":[25,67],"model":[26],"selects":[27],"the":[28,40,43,64,71,79],"most":[29],"appropriate":[30],"response":[31,74],"from":[32],"pool":[34],"of":[35,42,63,73],"candidates.":[36],"Intuitively,":[37],"based":[38],"on":[39],"nature":[41],"some":[45],"responses":[46],"are":[47],"expected":[48],"be":[50,58],"long":[51],"and":[52],"informative":[53],"while":[54],"others":[55],"need":[56],"more":[59],"concise.":[60],"Unfortunately,":[61],"none":[62],"existing":[65,80],"models":[68,81],"considered":[70],"effect":[72],"length.":[75],"Empirical":[76],"observations":[77],"suggested":[78],"over-favor":[82],"longer":[83],"candidate":[84],"responses,":[85],"leading":[86],"sub-optimal":[88],"performance.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}