{"id":"https://openalex.org/W4389519360","doi":"https://doi.org/10.18653/v1/2023.emnlp-industry.72","title":"Adaptive Hyper-parameter Learning for Deep Semantic Retrieval","display_name":"Adaptive Hyper-parameter Learning for Deep Semantic Retrieval","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389519360","doi":"https://doi.org/10.18653/v1/2023.emnlp-industry.72"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.emnlp-industry.72","doi":"https://doi.org/10.18653/v1/2023.emnlp-industry.72","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2023.emnlp-industry.72","pdf_url":"https://aclanthology.org/2023.emnlp-industry.72.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Conference on Empirical Methods in Natural Language Processing (EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2023.emnlp-industry.72.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100338771","display_name":"Mingming Li","orcid":"https://orcid.org/0000-0002-4702-6350","observed_orcids":["https://orcid.org/0000-0002-4702-6350","https://orcid.org/0000-0002-3012-152X"]},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Li","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026726435","display_name":"Chunyuan Yuan","orcid":"https://orcid.org/0000-0001-9794-5032","observed_orcids":["https://orcid.org/0000-0001-9794-5032"]},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyuan Yuan","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075244395","display_name":"Huimu Wang","orcid":"https://orcid.org/0000-0001-7115-8831","observed_orcids":["https://orcid.org/0000-0001-7115-8831"]},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimu Wang","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058176560","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0001-8782-857X","observed_orcids":["https://orcid.org/0000-0001-8782-857X"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026923345","display_name":"Jingwei Zhuo","orcid":"https://orcid.org/0000-0001-8135-1061","observed_orcids":["https://orcid.org/0000-0001-8135-1061"]},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Zhuo","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415573","display_name":"Binbin Wang","orcid":"https://orcid.org/0000-0002-2035-3511","observed_orcids":["https://orcid.org/0000-0002-2035-3511","https://orcid.org/0009-0002-4811-5141"]},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Wang","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383342","display_name":"Lin Liu","orcid":"https://orcid.org/0000-0003-2843-5738","observed_orcids":["https://orcid.org/0000-0003-2843-5738"]},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Liu","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063258475","display_name":"Sulong Xu","orcid":"https://orcid.org/0000-0003-0345-334X","observed_orcids":["https://orcid.org/0000-0003-0345-334X"]},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sulong Xu","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.34,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5957826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"775","last_page":"782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6743000149726868,"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":0.6743000149726868,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.30079999566078186,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.6700000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784078478813171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6219943761825562},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5188001990318298},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4862562417984009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33483707904815674}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.emnlp-industry.72","doi":"https://doi.org/10.18653/v1/2023.emnlp-industry.72","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2023.emnlp-industry.72","pdf_url":"https://aclanthology.org/2023.emnlp-industry.72.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Conference on Empirical Methods in Natural Language Processing (EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.emnlp-industry.72","doi":"https://doi.org/10.18653/v1/2023.emnlp-industry.72","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2023.emnlp-industry.72","pdf_url":"https://aclanthology.org/2023.emnlp-industry.72.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Conference on Empirical Methods in Natural Language Processing (EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389519360.pdf","grobid_xml":"https://content.openalex.org/works/W4389519360.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2136189984","https://openalex.org/W2896457183","https://openalex.org/W2997457842","https://openalex.org/W3015883388","https://openalex.org/W3034439313","https://openalex.org/W3034969702","https://openalex.org/W3036320503","https://openalex.org/W3081410692","https://openalex.org/W3090721331","https://openalex.org/W3154280800","https://openalex.org/W3168875417","https://openalex.org/W3172119680","https://openalex.org/W3174367567","https://openalex.org/W3209791570","https://openalex.org/W4287117245","https://openalex.org/W4287552504","https://openalex.org/W4302313152","https://openalex.org/W4306317315","https://openalex.org/W4312091052","https://openalex.org/W4353007257","https://openalex.org/W4361231059","https://openalex.org/W4385567664"],"related_works":["https://openalex.org/W2970139579","https://openalex.org/W778768391","https://openalex.org/W7119499340","https://openalex.org/W2295072214","https://openalex.org/W7123963112","https://openalex.org/W2578098281","https://openalex.org/W2907591245","https://openalex.org/W4389524414","https://openalex.org/W7100456990","https://openalex.org/W4411119834"],"abstract_inverted_index":{"Mingming":[0],"Li,":[1],"Chunyuan":[2],"Yuan,":[3],"Huimu":[4],"Wang,":[5,7,11],"Peng":[6],"Jingwei":[8],"Zhuo,":[9],"Binbin":[10],"Lin":[12],"Liu,":[13],"Sulong":[14],"Xu.":[15],"Proceedings":[16],"of":[17],"the":[18],"2023":[19],"Conference":[20],"on":[21],"Empirical":[22],"Methods":[23],"in":[24],"Natural":[25],"Language":[26],"Processing:":[27],"Industry":[28],"Track.":[29],"2023.":[30]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-12-10T00:00:00"}
