{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T01:01:24Z","timestamp":1774400484606,"version":"3.50.1"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031282430","type":"print"},{"value":"9783031282447","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-28244-7_34","type":"book-chapter","created":{"date-parts":[[2023,3,16]],"date-time":"2023-03-16T17:03:18Z","timestamp":1678986198000},"page":"537-552","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["CoSPLADE: Contextualizing SPLADE for\u00a0Conversational Information Retrieval"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9020-8790","authenticated-orcid":false,"given":"Nam","family":"Hai Le","sequence":"first","affiliation":[]},{"given":"Thomas","family":"Gerald","sequence":"additional","affiliation":[]},{"given":"Thibault","family":"Formal","sequence":"additional","affiliation":[]},{"given":"Jian-Yun","family":"Nie","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6792-3262","authenticated-orcid":false,"given":"Benjamin","family":"Piwowarski","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9827-7400","authenticated-orcid":false,"given":"Laure","family":"Soulier","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,17]]},"reference":[{"key":"34_CR1","doi-asserted-by":"publisher","unstructured":"Aliannejadi, M., Chakraborty, M., R\u00edssola, E.A., Crestani, F.: Harnessing evolution of multi-turn conversations for effective answer retrieval, pp. 33\u201342. https:\/\/doi.org\/10.1145\/3343413.3377968, http:\/\/arxiv.org\/abs\/1912.10554","DOI":"10.1145\/3343413.3377968"},{"key":"34_CR2","doi-asserted-by":"crossref","unstructured":"Arabzadeh, N., Clarke, C.L.A.: Waterlooclarke at the TREC 2020 conversational assistant track (2020)","DOI":"10.6028\/NIST.SP.1266.cast-WaterlooClarke"},{"key":"34_CR3","doi-asserted-by":"publisher","unstructured":"Christmann, P., Roy, R.S., Weikum, G.: Conversational question answering on heterogeneous sources. In: Amig\u00f3, E., Castells, P., Gonzalo, J., Carterette, B., Culpepper, J.S., Kazai, G. (eds.) SIGIR 2022: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11\u201315 July 2022, pp. 144\u2013154. ACM (2022). https:\/\/doi.org\/10.1145\/3477495.3531815","DOI":"10.1145\/3477495.3531815"},{"key":"34_CR4","unstructured":"Clarke, C.L.A.: Waterlooclarke at the TREC 2019 conversational assistant track. In: Voorhees, E.M., Ellis, A. (eds.) Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC 2019, Gaithersburg, Maryland, USA, 13\u201315 November 2019. NIST Special Publication, vol. 1250. National Institute of Standards and Technology (NIST) (2019). https:\/\/trec.nist.gov\/pubs\/trec28\/papers\/WaterlooClarke.C.pdf"},{"key":"34_CR5","doi-asserted-by":"publisher","unstructured":"Culpepper, J.S., Diaz, F., Smucker, M.D.: Research frontiers in information retrieval: report from the third strategic workshop on information retrieval in Lorne (SWIRL 2018). SIGIR Forum 52(1), 34\u201390 (2018). https:\/\/doi.org\/10.1145\/3274784.3274788","DOI":"10.1145\/3274784.3274788"},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Dalton, J., Xiong, C., Callan, J.: CAsT 2020: The conversational assistance track overview, p. 10","DOI":"10.6028\/NIST.SP.1266.cast-overview"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Dalton, J., Xiong, C., Callan, J.: TREC CAsT 2019: The conversational assistance track overview. http:\/\/arxiv.org\/abs\/2003.13624","DOI":"10.6028\/NIST.SP.1266.cast-overview"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Dalton, J., Xiong, C., Callan, J.: TREC CAsT 2021: the conversational assistance track overview, p. 7 (2021)","DOI":"10.6028\/NIST.SP.500-335.cast-overview"},{"key":"34_CR9","doi-asserted-by":"publisher","unstructured":"Elgohary, A., Peskov, D., Boyd-Graber, J.: Can you unpack that? Learning to rewrite questions-in-context. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5918\u20135924. Association for Computational Linguistics, Hong Kong, November 2019. https:\/\/doi.org\/10.18653\/v1\/D19-1605, https:\/\/aclanthology.org\/D19-1605","DOI":"10.18653\/v1\/D19-1605"},{"key":"34_CR10","doi-asserted-by":"publisher","unstructured":"Formal, T., Lassance, C., Piwowarski, B., Clinchant, S.: From distillation to hard negative sampling: making sparse neural IR models more effective. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2022, pp. 2353\u20132359. Association for Computing Machinery, New York, July 2022. https:\/\/doi.org\/10.1145\/3477495.3531857","DOI":"10.1145\/3477495.3531857"},{"key":"34_CR11","doi-asserted-by":"publisher","unstructured":"Formal, T., Piwowarski, B., Clinchant, S.: SPLADE: sparse lexical and expansion model for first stage ranking. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2021, pp. 2288\u20132292. Association for Computing Machinery, New York, July 2021. 10\/gm2tf2, https:\/\/doi.org\/10.1145\/3404835.3463098","DOI":"10.1145\/3404835.3463098"},{"key":"34_CR12","unstructured":"Hofst\u00e4tter, S., Althammer, S., Schr\u00f6der, M., Sertkan, M., Hanbury, A.: Improving efficient neural ranking models with cross-architecture knowledge distillation. arXiv abs\/2010.02666 (2020)"},{"key":"34_CR13","doi-asserted-by":"publisher","unstructured":"Hofst\u00e4tter, S., Lin, S.C., Yang, J.H., Lin, J., Hanbury, A.: Efficiently teaching an effective dense retriever with balanced topic aware sampling. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2021, pp. 113\u2013122. Association for Computing Machinery, New York (2021). https:\/\/doi.org\/10.1145\/3404835.3462891","DOI":"10.1145\/3404835.3462891"},{"key":"34_CR14","unstructured":"Khattab, O., Zaharia, M.: ColBERT: efficient and effective passage search via contextualized late interaction over BERT. http:\/\/arxiv.org\/abs\/2004.12832"},{"key":"34_CR15","doi-asserted-by":"publisher","unstructured":"Krasakis, A.M., Yates, A., Kanoulas, E.: Zero-shot Query Contextualization for Conversational Search. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2022, pp. 1880\u20131884. Association for Computing Machinery, New York, July 2022. https:\/\/doi.org\/10.1145\/3477495.3531769","DOI":"10.1145\/3477495.3531769"},{"key":"34_CR16","unstructured":"Kumar, V., Callan, J.: Making information seeking easier: an improved pipeline for conversational search, p. 10"},{"key":"34_CR17","unstructured":"Lan, Z., Chen, M., Goodman, S., Gimpel, K., Sharma, P., Soricut, R.: ALBERT: a lite BERT for self-supervised learning of language representations. In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, 26\u201330 April 2020. OpenReview.net (2020). https:\/\/openreview.net\/forum?id=H1eA7AEtvS"},{"key":"34_CR18","unstructured":"Lin, S.C., Yang, J.H., Lin, J.: Contextualized query embeddings for conversational search. http:\/\/arxiv.org\/abs\/2104.08707"},{"key":"34_CR19","doi-asserted-by":"publisher","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. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/v1\/2021.repl4nlp-1.17, https:\/\/aclanthology.org\/2021.repl4nlp-1.17","DOI":"10.18653\/v1\/2021.repl4nlp-1.17"},{"key":"34_CR20","doi-asserted-by":"crossref","unstructured":"Lin, S.C., Yang, J.H., Lin, J.: TREC 2020 notebook: CAsT track. Technical report, TREC, December 2021","DOI":"10.6028\/NIST.SP.1266.cast-h2oloo"},{"key":"34_CR21","unstructured":"Lin, S.C., Yang, J.H., Nogueira, R., Tsai, M.F., Wang, C.J., Lin, J.: Multi-stage conversational passage retrieval: an approach to fusing term importance estimation and neural query rewriting. http:\/\/arxiv.org\/abs\/2005.02230"},{"key":"34_CR22","unstructured":"Lin, S., Yang, J., Nogueira, R., Tsai, M., Wang, C., Lin, J.: Query reformulation using query history for passage retrieval in conversational search. CoRR abs\/2005.02230 (2020). https:\/\/arxiv.org\/abs\/2005.02230"},{"key":"34_CR23","doi-asserted-by":"crossref","unstructured":"Mele, I., Muntean, C.I., Nardini, F.M., Perego, R., Tonellotto, N.: Finding context through utterance dependencies in search conversations. Technical report (2021)","DOI":"10.6028\/NIST.SP.500-335.cast-CNR"},{"key":"34_CR24","doi-asserted-by":"publisher","unstructured":"Nogueira, R., Jiang, Z., Pradeep, R., Lin, J.: Document ranking with a pretrained sequence-to-sequence model. In: Findings of the Association for Computational Linguistics: EMNLP 2020, pp. 708\u2013718. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/v1\/2020.findings-emnlp.63, https:\/\/www.aclweb.org\/anthology\/2020.findings-emnlp.63","DOI":"10.18653\/v1\/2020.findings-emnlp.63"},{"key":"34_CR25","doi-asserted-by":"publisher","unstructured":"Qu, C., Yang, L., Chen, C., Qiu, M., Croft, W.B., Iyyer, M.: Open-retrieval conversational question answering, pp. 539\u2013548. https:\/\/doi.org\/10.1145\/3397271.3401110, http:\/\/arxiv.org\/abs\/2005.11364","DOI":"10.1145\/3397271.3401110"},{"key":"34_CR26","doi-asserted-by":"publisher","unstructured":"Qu, C., Yang, L., Chen, C., Qiu, M., Croft, W.B., Iyyer, M.: Open-retrieval conversational question answering. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2020, pp. 539\u2013548. Association for Computing Machinery, New York (2020). https:\/\/doi.org\/10.1145\/3397271.3401110","DOI":"10.1145\/3397271.3401110"},{"key":"34_CR27","doi-asserted-by":"publisher","unstructured":"Qu, C., Yang, L., Chen, C., Qiu, M., Croft, W.B., Iyyer, M.: Open-retrieval conversational question answering. In: Huang, J.X., et al. (eds.) Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual Event, China, 25\u201330 July 2020, pp. 539\u2013548. ACM (2020). https:\/\/doi.org\/10.1145\/3397271.3401110","DOI":"10.1145\/3397271.3401110"},{"key":"34_CR28","doi-asserted-by":"publisher","unstructured":"Qu, C., Yang, L., Qiu, M., Croft, W.B., Zhang, Y., Iyyer, M.: BERT with history answer embedding for conversational question answering. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2019, pp. 1133\u20131136. Association for Computing Machinery, New York (2019). https:\/\/doi.org\/10.1145\/3331184.3331341","DOI":"10.1145\/3331184.3331341"},{"key":"34_CR29","doi-asserted-by":"crossref","unstructured":"Qu, C., et al.: Attentive history selection for conversational question answering. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 1391\u20131400 (2019)","DOI":"10.1145\/3357384.3357905"},{"key":"34_CR30","doi-asserted-by":"publisher","unstructured":"Reddy, S., Chen, D., Manning, C.D.: CoQA: a conversational question answering challenge. Trans. Assoc. Comput. Linguist. 7, 249\u2013266 (2019). https:\/\/doi.org\/10.1162\/tacl_a_00266, https:\/\/aclanthology.org\/Q19-1016","DOI":"10.1162\/tacl_a_00266"},{"key":"34_CR31","doi-asserted-by":"publisher","unstructured":"Reddy, S., Chen, D., Manning, C.D.: COQA: a conversational question answering challenge. Trans. Assoc. Comput. Linguist. 7, 249\u2013266 (2019). https:\/\/doi.org\/10.1162\/tacl_a_00266","DOI":"10.1162\/tacl_a_00266"},{"key":"34_CR32","doi-asserted-by":"publisher","unstructured":"Santhanam, K., Khattab, O., Saad-Falcon, J., Potts, C., Zaharia, M.: ColBERTv2: effective and efficient retrieval via lightweight late interaction. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 3715\u20133734. Association for Computational Linguistics, Seattle, United States, July 2022. https:\/\/doi.org\/10.18653\/v1\/2022.naacl-main.272, https:\/\/aclanthology.org\/2022.naacl-main.272","DOI":"10.18653\/v1\/2022.naacl-main.272"},{"key":"34_CR33","doi-asserted-by":"publisher","unstructured":"Vakulenko, S., Longpre, S., Tu, Z., Anantha, R.: Question rewriting for conversational question answering. In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining, pp. 355\u2013363. ACM. https:\/\/doi.org\/10.1145\/3437963.3441748, https:\/\/dl.acm.org\/doi\/10.1145\/3437963.3441748","DOI":"10.1145\/3437963.3441748"},{"key":"34_CR34","doi-asserted-by":"crossref","unstructured":"Voskarides, N., Li, D., Panteli, A., Ren, P.: ILPS at TREC 2019 conversational assistant track, p. 4","DOI":"10.6028\/NIST.SP.1250.cast-UvA.ILPS"},{"key":"34_CR35","doi-asserted-by":"publisher","unstructured":"Voskarides, N., Li, D., Ren, P., Kanoulas, E., de Rijke, M.: Query resolution for conversational search with limited supervision, pp. 921\u2013930. https:\/\/doi.org\/10.1145\/3397271.3401130, http:\/\/arxiv.org\/abs\/2005.11723","DOI":"10.1145\/3397271.3401130"},{"key":"34_CR36","doi-asserted-by":"crossref","unstructured":"Yan, X., Clarke, C.L.A., Arabzadeh, N.: Waterlooclarke at the TREC 2021 conversational assistant track (2021)","DOI":"10.6028\/NIST.SP.500-335.cast-WaterlooClarke"},{"key":"34_CR37","doi-asserted-by":"crossref","unstructured":"Yang, J.H., Lin, S.C., Wang, C.J., Lin, J.J., Tsai, M.F.: Query and answer expansion from conversation history. In: TREC (2019)","DOI":"10.6028\/NIST.SP.1250.cast-CFDA_CLIP"},{"key":"34_CR38","unstructured":"Yu, S., et al.: Few-shot generative conversational query rewriting. http:\/\/arxiv.org\/abs\/2006.05009"},{"key":"34_CR39","doi-asserted-by":"publisher","unstructured":"Zamani, H., Trippas, J.R., Dalton, J., Radlinski, F.: Conversational Information Seeking, January 2022. https:\/\/doi.org\/10.48550\/arXiv.2201.08808, http:\/\/arxiv.org\/abs\/2201.08808, arXiv:2201.08808 [cs]","DOI":"10.48550\/arXiv.2201.08808"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28244-7_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T15:09:30Z","timestamp":1729091370000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28244-7_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031282430","9783031282447"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28244-7_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"17 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dublin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ireland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"45","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2023.org\/index.html?v=1.0","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"489","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}