{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T23:28:58Z","timestamp":1774308538754,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591715","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"152-162","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["Lexically-Accelerated Dense Retrieval"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8900-3118","authenticated-orcid":false,"given":"Hrishikesh","family":"Kulkarni","sequence":"first","affiliation":[{"name":"Georgetown University, Washington, DC, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8914-2659","authenticated-orcid":false,"given":"Sean","family":"MacAvaney","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6349-5237","authenticated-orcid":false,"given":"Nazli","family":"Goharian","sequence":"additional","affiliation":[{"name":"Georgetown University, Washington, DC, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5076-8171","authenticated-orcid":false,"given":"Ophir","family":"Frieder","sequence":"additional","affiliation":[{"name":"Georgetown University, Washington, DC, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482159"},{"key":"e_1_3_2_2_2_1","unstructured":"Arian Askari and Suzan Verberne. 2021. Combining Lexical and Neural Retrieval with Longformer-based Summarization for Effective Case Law Retrieval. In DESIRES."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2102.07662"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2003.07820"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401204"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2010048"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","unstructured":"Yixing Fan Xiaohui Xie Yinqiong Cai Jia Chen Xinyu Ma Xiangsheng Li Ruqing Zhang and Jiafeng Guo. 2021. Pre-training Methods in Information Retrieval. https:\/\/doi.org\/10.48550\/ARXIV.2111.13853","DOI":"10.48550\/ARXIV.2111.13853"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463098"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72113-8_10"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983769"},{"key":"e_1_3_2_2_11_1","volume-title":"Accelerating Large-Scale Inference with Anisotropic Vector Quantization. In International Conference on Machine Learning. https:\/\/arxiv.org\/abs\/1908","author":"Guo Ruiqi","year":"2020","unstructured":"Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, and Sanjiv Kumar. 2020. Accelerating Large-Scale Inference with Anisotropic Vector Quantization. In International Conference on Machine Learning. https:\/\/arxiv.org\/abs\/1908.10396"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2649-2"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462891"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0271(71)90051-9"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.57"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.54"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463066"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116967"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511955"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308774.3308781"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.repl4nlp-1.17"},{"key":"e_1_3_2_2_23_1","volume-title":"Web usage mining. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data","author":"Liu Bing","year":"2007","unstructured":"Bing Liu. 2007. Web usage mining. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (2007), 449--483."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1147\/rd.22.0159"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401262"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557231"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2889473"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531774"},{"key":"e_1_3_2_2_29_1","volume-title":"PISA: Performant Indexes and Search for Academia. In OSIRRC@SIGIR.","author":"Mallia Antonio","year":"2019","unstructured":"Antonio Mallia, Michal Siedlaczek, Joel M. Mackenzie, and Torsten Suel. 2019. PISA: Performant Indexes and Search for Academia. In OSIRRC@SIGIR."},{"key":"e_1_3_2_2_30_1","unstructured":"Tomas Mikolov Kai Chen Gregory S. Corrado and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In ICLR."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680835335"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000061"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","unstructured":"Liang Pang Yanyan Lan Jiafeng Guo Jun Xu and Xueqi Cheng. 2016. A Study of MatchPyramid Models on Ad-hoc Retrieval. https:\/\/doi.org\/10.48550\/ARXIV.1606.04648","DOI":"10.48550\/ARXIV.1606.04648"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","unstructured":"Samarth Rawal and Chitta Baral. 2020. Multi-Perspective Semantic Information Retrieval. https:\/\/doi.org\/10.48550\/ARXIV.2009.01938","DOI":"10.48550\/ARXIV.2009.01938"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_2_36_1","volume-title":"Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR","author":"Kuzi Saar","year":"2020","unstructured":"Saar Kuzi, Mingyang Zhang 001, Cheng Li 012, Michael Bendersky, and Marc Najork. 2020. Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR (2020)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341981.3344250"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","unstructured":"Yingxia Shao Zhao Cao Shitao Xiao Zheng Liu. 2022. RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. In EMNLP. https:\/\/arxiv.org\/abs\/2205.12035","DOI":"10.18653\/v1\/2022.emnlp-main.35"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"e_1_3_2_2_40_1","unstructured":"Nandan Thakur Nils Reimers Andreas R\u00fcckl\u00e9 Abhishek Srivastava and Iryna Gurevych. 2021. BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=wCu6T5xFjeJ"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2934"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531721"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1852102.1852106"},{"key":"e_1_3_2_2_44_1","volume-title":"Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ArXiv","author":"Xiong Lee","year":"2021","unstructured":"Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, and Arnold Overwijk. 2021. Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ArXiv, Vol. abs\/2007.00808 (2021)."},{"key":"e_1_3_2_2_45_1","unstructured":"Xiaobing Xue Van Dang and W. Bruce Croft. 2009. Query Substitution based on N-gram Analysis. In SIGIR."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_27"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462988"},{"key":"e_1_3_2_2_49_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research","author":"Zhuo Jingwei","year":"2020","unstructured":"Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, and Kun Gai. 2020. Learning Optimal Tree Models under Beam Search. In Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 119), Hal Daum\u00e9 III and Aarti Singh (Eds.). PMLR, 11650--11659. https:\/\/proceedings.mlr.press\/v119\/zhuo20a.html"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591715","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:00Z","timestamp":1750178820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591715"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":49,"alternative-id":["10.1145\/3539618.3591715","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591715","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}