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The Conversational Assistance Track (CAsT) is a new track for TREC 2019 to facilitate Conversational Information Seeking (CIS) research and to create a large-scale reusable test collection for conversational search systems.
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Kwiatkowski, T., Palomaki, J., Redfield, O., Collins, M., Parikh, A., Alberti, C., Epstein, D., Polosukhin, I., Kelcey, M., Devlin, J., Lee, K., Toutanova, K.N., Jones, L., Chang, M.W., Dai, A., Uszkoreit, J., Le, Q., Petrov, S.: Natural questions: a benchmark for question answering research. Transactions of the Association of Computational Linguistics (2019), https://tomkwiat.users.x20web.corp.google.com/papers/natural-questions/main-1455-kwiatkowski.pdf
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Zhang, H., Song, X., Xiong, C., Rosset, C., Bennett, P.N., Craswell, N., Tiwary, S.: Generic intent representation in web search. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 65–74. ACM (2019)
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