{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:17:05Z","timestamp":1784179025986,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T00:00:00Z","timestamp":1657065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Australian Research Council Discovery Project","award":["DP200103136"],"award-info":[{"award-number":["DP200103136"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,6]]},"DOI":"10.1145\/3477495.3531774","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T15:12:13Z","timestamp":1657206733000},"page":"1901-1905","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":32,"title":["Faster Learned Sparse Retrieval with Guided Traversal"],"prefix":"10.1145","author":[{"given":"Antonio","family":"Mallia","sequence":"first","affiliation":[{"name":"New York University, Brooklyn, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joel","family":"Mackenzie","sequence":"additional","affiliation":[{"name":"The University of Queensland, Brisbane, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Torsten","family":"Suel","sequence":"additional","affiliation":[{"name":"New York University, Brooklyn, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicola","family":"Tonellotto","sequence":"additional","affiliation":[{"name":"University of Pisa, Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proc. TREC","author":"Amati G.","year":"2007","unstructured":"G. Amati , E. Ambrosi , M. Bianchi , C. Gaibisso , and G. Gambosi . FUB, IASI-CNR and University of Tor Vergata at TREC 2007 blog track . In Proc. TREC , 2007 . G. Amati, E. Ambrosi, M. Bianchi, C. Gaibisso, and G. Gambosi. FUB, IASI-CNR and University of Tor Vergata at TREC 2007 blog track. In Proc. TREC, 2007."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/956863.956944"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018726"},{"key":"e_1_3_2_1_4_1","volume-title":"Overview of the TREC 2019 deep learning track. Preprint: arXiv:2003","author":"Craswell N.","year":"2020","unstructured":"N. Craswell , B. Mitra , E. Yilmaz , D. Campos , and E. M. Voorhees . Overview of the TREC 2019 deep learning track. Preprint: arXiv:2003 .07820, 2020 . N. Craswell, B. Mitra, E. Yilmaz, D. Campos, and E. M. Voorhees. Overview of the TREC 2019 deep learning track. Preprint: arXiv:2003.07820, 2020."},{"key":"e_1_3_2_1_5_1","volume-title":"Overview of the TREC 2020 deep learning track. Preprint: arXiv:2102","author":"Craswell N.","year":"2021","unstructured":"N. Craswell , B. Mitra , E. Yilmaz , and D. Campos . Overview of the TREC 2020 deep learning track. Preprint: arXiv:2102 .07662, 2021 . N. Craswell, B. Mitra, E. Yilmaz, and D. Campos. Overview of the TREC 2020 deep learning track. Preprint: arXiv:2102.07662, 2021."},{"key":"e_1_3_2_1_6_1","volume-title":"Context-aware sentence\/passage term importance estimation for first stage retrieval. Preprint: arXiv:1910.10687","author":"Dai Z.","year":"2019","unstructured":"Z. Dai and J. Callan . Context-aware sentence\/passage term importance estimation for first stage retrieval. Preprint: arXiv:1910.10687 , 2019 . Z. Dai and J. Callan. Context-aware sentence\/passage term importance estimation for first stage retrieval. Preprint: arXiv:1910.10687, 2019."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380258"},{"key":"e_1_3_2_1_8_1","first-page":"4171","volume-title":"Proc. NAACL","author":"Devlin J.","year":"2019","unstructured":"J. Devlin , M.-W. Chang , K. Lee , and K. Toutanova . BERT: Pre-training of deep bidirectional transformers for language understanding . In Proc. NAACL , pages 4171 -- 4186 , 2019 . J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proc. NAACL, pages 4171--4186, 2019."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939862"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2010048"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463098"},{"key":"e_1_3_2_1_12_1","volume-title":"Improving efficient neural ranking models with cross-architecture knowledge distillation. Preprint: arXiv:2010.02666","author":"Hofst\u00e4tter S.","year":"2020","unstructured":"S. Hofst\u00e4tter , S. Althammer , M. Schr\u00f6der , M. Sertkan , and A. Hanbury . Improving efficient neural ranking models with cross-architecture knowledge distillation. Preprint: arXiv:2010.02666 , 2020 . S. Hofst\u00e4tter, S. Althammer, M. Schr\u00f6der, M. Sertkan, and A. Hanbury. Improving efficient neural ranking models with cross-architecture knowledge distillation. Preprint: arXiv:2010.02666, 2020."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401075"},{"key":"e_1_3_2_1_16_1","volume-title":"COIL, and a conceptual framework for information retrieval techniques. Preprint: arXiv:2106.14807","author":"Lin J.","year":"2021","unstructured":"J. Lin and X. Ma . A few brief notes on DeepImpact , COIL, and a conceptual framework for information retrieval techniques. Preprint: arXiv:2106.14807 , 2021 . J. Lin and X. Ma. A few brief notes on DeepImpact, COIL, and a conceptual framework for information retrieval techniques. Preprint: arXiv:2106.14807, 2021."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401404"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463238"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15712-8_22"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401263"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462991"},{"key":"e_1_3_2_1_22_1","volume-title":"Wacky weights in learned sparse representations and the revenge of Score-at-a-Time query evaluation. Preprint: arXiv:2110.11540","author":"Mackenzie J.","year":"2021","unstructured":"J. Mackenzie , A. Trotman , and J. Lin . Wacky weights in learned sparse representations and the revenge of Score-at-a-Time query evaluation. Preprint: arXiv:2110.11540 , 2021 . J. Mackenzie, A. Trotman, and J. Lin. Wacky weights in learned sparse representations and the revenge of Score-at-a-Time query evaluation. Preprint: arXiv:2110.11540, 2021."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-021-09402-7"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15712-8_52"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080780"},{"key":"e_1_3_2_1_26_1","volume-title":"PISA: performant indexes and search for academia. OSIRRC@SIGIR","author":"Mallia A.","year":"2019","unstructured":"A. Mallia , M. Siedlaczek , J. Mackenzie , and T. Suel . PISA: performant indexes and search for academia. OSIRRC@SIGIR , 2019 . A. Mallia, M. Siedlaczek, J. Mackenzie, and T. Suel. PISA: performant indexes and search for academia. OSIRRC@SIGIR, 2019."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463030"},{"key":"e_1_3_2_1_28_1","volume-title":"MS MARCO: A human-generated machine reading comprehension dataset","author":"Nguyen T.","year":"2016","unstructured":"T. Nguyen , M. Rosenberg , X. Song , J. Gao , S. Tiwary , R. Majumder , and L. Deng . MS MARCO: A human-generated machine reading comprehension dataset . 2016 . T. Nguyen, M. Rosenberg, X. Song, J. Gao, S. Tiwary, R. Majumder, and L. Deng. MS MARCO: A human-generated machine reading comprehension dataset. 2016."},{"key":"e_1_3_2_1_29_1","volume-title":"From doc2query to doctttttquery. Online preprint","author":"Nogueira R.","year":"2019","unstructured":"R. Nogueira and J. Lin . From doc2query to doctttttquery. Online preprint , 2019 . R. Nogueira and J. Lin. From doc2query to doctttttquery. Online preprint, 2019."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2537734.2537744"},{"key":"e_1_3_2_1_31_1","volume-title":"Exploring the limits of transfer learning with a unified text-to-text transformer. Preprint: arXiv:1910.10683","author":"Raffel C.","year":"2019","unstructured":"C. Raffel , N. Shazeer , A. Roberts , K. Lee , S. Narang , M. Matena , Y. Zhou , W. Li , and P. J. Liu . Exploring the limits of transfer learning with a unified text-to-text transformer. Preprint: arXiv:1910.10683 , 2019 . C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu. Exploring the limits of transfer learning with a unified text-to-text transformer. Preprint: arXiv:1910.10683, 2019."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680835434"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(95)00020-H"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3471158.3472233"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080721"},{"key":"e_1_3_2_1_38_1","volume-title":"Fast passage re-ranking with contextualized exact term matching and efficient passage expansion. Preprint: arXiv:2108.08513","author":"Zhuang S.","year":"2021","unstructured":"S. Zhuang and G. Zuccon . Fast passage re-ranking with contextualized exact term matching and efficient passage expansion. Preprint: arXiv:2108.08513 , 2021 . S. Zhuang and G. Zuccon. Fast passage re-ranking with contextualized exact term matching and efficient passage expansion. Preprint: arXiv:2108.08513, 2021."}],"event":{"name":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Madrid Spain","acronym":"SIGIR '22","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531774","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477495.3531774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:25Z","timestamp":1750183825000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531774"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,6]]},"references-count":37,"alternative-id":["10.1145\/3477495.3531774","10.1145\/3477495"],"URL":"https:\/\/doi.org\/10.1145\/3477495.3531774","relation":{},"subject":[],"published":{"date-parts":[[2022,7,6]]},"assertion":[{"value":"2022-07-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}