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While the body of research directed towards constructing and generating clarifying questions in mixed-initiative conversational search systems is vast, research aimed at processing and comprehending users' answers to such questions is scarce.
Radlinski, F., Craswell, N.: A theoretical framework for conversational search. In: Proceedings of the 2017 Conference on Human Information Interaction and Retrieval. pp. 117–126. CHIIR ’17 (2017)
2017
Earlier work this paper cites.
Kiesel, J., Bahrami, A., Stein, B., Anand, A., Hagen, M.: Toward voice query clarification. In: The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 1257–1260. SIGIR ’18 (2018)
2018
Earlier work this paper cites.
Rao, S., Daumé III, H.: Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 2737–2746. ACL ’18 (2018)
2018
Earlier work this paper cites.
Aliannejadi, M., Zamani, H., Crestani, F., Croft, W.B.: Asking clarifying questions in open-domain information-seeking conversations. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 475–484. SIGIR’19 (2019)
2019
Earlier work this paper cites.
Dalton, J., Xiong, C., Callan, J.: TREC CAsT 2019: The conversational assistance track overview. In: The Twenty-Eighth Text REtrieval Conference Proceedings. TREC’19 (2019)
2019
Earlier work this paper cites.
Elgohary, A., Peskov, D., Boyd-Graber, J.: Can you unpack that? Learning to rewrite questions-in-context. In: Empirical Methods in Natural Language Processing. pp. 5918–5924. EMNLP ’19 (2019)
2019
Earlier work this paper cites.
Qu, C., Yang, L., Croft, W.B., Zhang, Y., Trippas, J.R., Qiu, M.: User intent prediction in information-seeking conversations. In: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval. pp. 25–33. CHIIR ’19 (2019)
2019
Earlier work this paper cites.
Reimers, N., Gurevych, I.: Sentence-bert: Sentence embeddings using siamese bert-networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. pp. 3982–3992. EMNLP-IJCNLP ’19 (2019)
2019
Earlier work this paper cites.
Krasakis, A.M., Aliannejadi, M., Voskarides, N., Kanoulas, E.: Analysing the effect of clarifying questions on document ranking in conversational search. In: Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval. p. 129–132. ICTIR ’20 (2020)
2020
Cited alongside, same era.
Nogueira, R., Jiang, Z., Lin, J.: Document ranking with a pretrained sequence-to-sequence model. In: Findings of the Association for Computational Linguistics: EMNLP 2020. pp. 708–718 (2020)
2020
Cited alongside, same era.
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., Liu, P.J.: Exploring the limits of transfer learning with a unified text-to-text transformer. The Journal of Machine Learning Research 21
2020
Cited alongside, same era.
Rosset, C., Xiong, C., Song, X., Campos, D., Craswell, N., Tiwary, S., Bennett, P.: Leading conversational search by suggesting useful questions. In: Proceedings of The Web Conference 2020. p. 1160–1170. WWW ’20 (2020)
Majumder, B.P., Rao, S., Galley, M., McAuley, J.: Ask what’s missing and what’s useful: Improving clarification question generation using global knowledge. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 4300–4312. NAACL ’21 (2021)
2021
Later among the works it cites.
Pradeep, R., Nogueira, R., Lin, J.: The expando-mono-duo design pattern for text ranking with pretrained sequence-to-sequence models. arXiv cs.IR/2101.05667
2021
Later among the works it cites.
Sekulić, I., Aliannejadi, M., Crestani, F.: Towards facet-driven generation of clarifying questions for conversational search. In: Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval. pp. 167–175. ICTIR ’21 (2021)
2021
Later among the works it cites.
Vakulenko, S., Voskarides, N., Tu, Z., Longpre, S.: A comparison of question rewriting methods for conversational passage retrieval. In: Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021. pp. 418–424. ECIR ’21 (2021)
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2020
Cited alongside, same era.
2020
Cited alongside, same era.
Zamani, H., Dumais, S., Craswell, N., Bennett, P., Lueck, G.: Generating clarifying questions for information retrieval. In: Proceedings of The Web Conference 2020. p. 418–428. WWW ’20 (2020)
2020
Cited alongside, same era.
Zamani, H., Mitra, B., Chen, E., Lueck, G., Diaz, F., Bennett, P.N., Craswell, N., Dumais, S.T.: Analyzing and learning from user interactions for search clarification. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 1181–1190. SIGIR ’20 (2020)
2020
Cited alongside, same era.
Aliannejadi, M., Kiseleva, J., Chuklin, A., Dalton, J., Burtsev, M.: Building and evaluating open-domain dialogue corpora with clarifying questions. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. pp. 4473–4484. EMNLP’20 (2021)
2021
Cited alongside, same era.
2021
Later among the works it cites.
Yu, S., Liu, Z., Xiong, C., Feng, T., Liu, Z.: Few-shot conversational dense retrieval. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 829–838. SIGIR ’21 (2021)
2021
Later among the works it cites.
Owoicho, P., Dalton, J., Aliannejad, M., Azzopardi, L., Trippas, J.R., Vakulenko, S.: TREC CAsT 2022: Going beyond user ask and system retrieve with initiative and response generation. In: The Thirty-First Text REtrieval Conference Proceedings. TREC ’22 (2022)
2022
Later among the works it cites.
Lajewska, W., Balog, K.: From baseline to top performer: A reproducibility study of approaches at the TREC 2021 Conversational Assistance track. In: Proceedings of the 45th European Conference on Information Retrieval. pp. 177–191. ECIR ’23 (2023)
2023
Later among the works it cites.
Lajewska, W., Bernard, N., Kostric, I., Sekulić, I., Balog, K.: The University of Stavanger (IAI) at the TREC 2022 Conversational Assistance track. In: Proceedings of the Thirty-First Text REtrieval Conference. TREC ’22 (2023)
2023
Later among the works it cites.