{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:30:07Z","timestamp":1743031807357,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031626999"},{"type":"electronic","value":"9783031627002"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-62700-2_7","type":"book-chapter","created":{"date-parts":[[2024,6,16]],"date-time":"2024-06-16T15:01:37Z","timestamp":1718550097000},"page":"65-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Token Pruning by\u00a0Dimensionality Reduction Methods on\u00a0TCT-ColBERT for\u00a0Reranking"],"prefix":"10.1007","author":[{"given":"Nazish","family":"Hina","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohand","family":"Boughanem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taoufiq","family":"Dkaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,17]]},"reference":[{"key":"7_CR1","unstructured":"Abdi, H.: The Eigen-decomposition: eigenvalues and Eigenvectors. In: Encyclopedia of Measurement and Statistics, pp. 304\u2013308 (2007)"},{"key":"7_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-098-4","volume-title":"Support Vector Machines for Pattern Slassification","author":"S Abe","year":"2005","unstructured":"Abe, S.: Support Vector Machines for Pattern Slassification, vol. 2. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/978-1-84996-098-4"},{"key":"7_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100378","volume":"40","author":"F Anowar","year":"2021","unstructured":"Anowar, F., Sadaoui, S., Selim, B.: Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE). Comput. Sci. Rev. 40, 100378 (2021)","journal-title":"Comput. Sci. Rev."},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Carmel, D., et al.: Static index pruning for information retrieval systems. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 43\u201350 (2001)","DOI":"10.1145\/383952.383958"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Chen, R.C., Gallagher, L., Blanco, R., Culpepper, J.S.: Efficient cost-aware cascade ranking in multi-stage retrieval. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 445\u2013454 (2017)","DOI":"10.1145\/3077136.3080819"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Craswell, N., Mitra, B., Yilmaz, E., Campos, D., Voorhees, E.M.: Overview of the TREC 2019 deep learning track. arXiv preprint arXiv:2003.07820 (2020)","DOI":"10.6028\/NIST.SP.1266.deep-overview"},{"key":"7_CR7","unstructured":"Ghojogh, B., et al.: Feature selection and feature extraction in pattern analysis: a literature review. arXiv preprint arXiv:1905.02845 (2019)"},{"key":"7_CR8","unstructured":"Goyal, S., Choudhury, A.R., Raje, S., Chakaravarthy, V., Sabharwal, Y., Verma, A.: PoWER-BERT: accelerating BERT inference via progressive word-vector elimination. In: International Conference on Machine Learning, pp. 3690\u20133699. PMLR (2020)"},{"issue":"3B","key":"7_CR9","first-page":"173","volume":"4","author":"S Karamizadeh","year":"2013","unstructured":"Karamizadeh, S., Abdullah, S.M., Manaf, A.A., Zamani, M., Hooman, A.: An overview of principal component analysis. J. Signal Inf. Process. 4(3B), 173 (2013)","journal-title":"J. Signal Inf. Process."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Khattab, O., Zaharia, M.: ColBERT: efficient and effective passage search via contextualized late interaction over BERT. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 39\u201348 (2020)","DOI":"10.1145\/3397271.3401075"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Kim, G., Cho, K.: Length-adaptive transformer: train once with length drop, use anytime with search. arXiv preprint arXiv:2010.07003 (2020)","DOI":"10.18653\/v1\/2021.acl-long.508"},{"key":"7_CR12","unstructured":"Lin, S.C., Yang, J.H., Lin, J.: Distilling dense representations for ranking using tightly-coupled teachers. arXiv preprint arXiv:2010.11386 (2020)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Lin, S.C., Yang, J.H., Lin, J.: In-batch negatives for knowledge distillation with tightly-coupled teachers for dense retrieval. In: Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021), pp. 163\u2013173 (2021)","DOI":"10.18653\/v1\/2021.repl4nlp-1.17"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Liu, S., Xiao, F., Ou, W., Si, L.: Cascade ranking for operational e-commerce search. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1557\u20131565 (2017)","DOI":"10.1145\/3097983.3098011"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Macdonald, C., Tonellotto, N.: Declarative experimentation in information retrieval using PyTerrier. In: Proceedings of ICTIR 2020 (2020)","DOI":"10.1145\/3409256.3409829"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Macdonald, C., Tonellotto, N., MacAvaney, S., Ounis, I.: PyTerrier: Declarative experimentation in Python from BM25 to dense retrieval. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 4526\u20134533 (2021)","DOI":"10.1145\/3459637.3482013"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Matveeva, I., Burges, C., Burkard, T., Laucius, A., Wong, L.: High accuracy retrieval with multiple nested ranker. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 437\u2013444 (2006)","DOI":"10.1145\/1148170.1148246"},{"key":"7_CR18","unstructured":"Nogueira, R., Cho, K.: Passage re-ranking with BERT. arXiv preprint arXiv:1901.04085 (2019). https:\/\/doi.org\/10.48550\/arXiv.1901.04085"},{"key":"7_CR19","unstructured":"Nogueira, R., Yang, W., Cho, K., Lin, J.: Multi-stage document ranking with BERT. arXiv preprint arXiv:1910.14424 (2019)"},{"key":"7_CR20","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.patcog.2018.10.006","volume":"87","author":"C \u00d6rnek","year":"2019","unstructured":"\u00d6rnek, C., Vural, E.: Nonlinear supervised dimensionality reduction via smooth regular embeddings. Pattern Recogn. 87, 55\u201366 (2019)","journal-title":"Pattern Recogn."},{"key":"7_CR21","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Sentence-bert: sentence embeddings using siamese bert-networks. arXiv preprint arXiv:1908.10084 (2019)","DOI":"10.18653\/v1\/D19-1410"},{"key":"7_CR23","doi-asserted-by":"publisher","unstructured":"Robertson, S.E., Walker, S.: Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In: SIGIR 1994: Proceedings of the Seventeenth Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, organised by Dublin City University, pp. 232\u2013241. Springer, Heidelberg (1994). https:\/\/doi.org\/10.1007\/978-1-4471-2099-5_24","DOI":"10.1007\/978-1-4471-2099-5_24"},{"key":"7_CR24","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108 (2019)"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Santhanam, K., Khattab, O., Saad-Falcon, J., Potts, C., Zaharia, M.: Colbertv2: effective and efficient retrieval via lightweight late interaction. arXiv preprint arXiv:2112.01488 (2021)","DOI":"10.18653\/v1\/2022.naacl-main.272"},{"key":"7_CR26","doi-asserted-by":"publisher","unstructured":"Tonellotto, N., Macdonald, C.: Query embedding pruning for dense retrieval. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, CIKM 2021, pp. 3453\u20133457. Association for Computing Machinery, New York (2021). https:\/\/doi.org\/10.1145\/3459637.3482162","DOI":"10.1145\/3459637.3482162"},{"key":"7_CR27","doi-asserted-by":"publisher","unstructured":"Wang, X., Macdonald, C., Tonellotto, N., Ounis, I.: Pseudo-relevance feedback for multiple representation dense retrieval, ICTIR 2021, pp. 297\u2013306. Association for Computing Machinery, New York (2021).https:\/\/doi.org\/10.1145\/3471158.3472250","DOI":"10.1145\/3471158.3472250"},{"key":"7_CR28","doi-asserted-by":"crossref","unstructured":"Yamada, I., Asai, A., Hajishirzi, H.: Efficient passage retrieval with hashing for open-domain question answering. arXiv preprint arXiv:2106.00882 (2021)","DOI":"10.18653\/v1\/2021.acl-short.123"},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Yan, M., et al.: IDST at TREC 2019 deep learning track: deep cascade ranking with generation-based document expansion and pre-trained language modeling. In: TREC (2019)","DOI":"10.6028\/NIST.SP.1250.deep-IDST"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Zobel, J., Moffat, A.: Inverted files for text search engines. ACM Comput. Surv. (CSUR) 38(2), 6\u2013es (2006)","DOI":"10.1145\/1132956.1132959"},{"key":"7_CR31","doi-asserted-by":"crossref","unstructured":"Wang, X., MacAvaney, S., Macdonald, C., Ounis, I.: An inspection of the reproducibility and replicability of TCT-ColBERT. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2790\u20132800 (2022)","DOI":"10.1145\/3477495.3531721"}],"container-title":["Lecture Notes in Computer Science","Foundations of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-62700-2_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,16]],"date-time":"2024-06-16T15:02:50Z","timestamp":1718550170000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-62700-2_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031626999","9783031627002"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-62700-2_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"17 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ISMIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Methodologies for Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poitiers","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ismis2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ismis2024.ensma.fr\/#","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}