CAsT-19: A Dataset for Conversational Information Seeking

Author:

Dalton Jeffrey1,Xiong Chenyan2,Kumar Vaibhav3,Callan Jamie3

Affiliation:

1. University of Glasgow, Glasgow, Scotland Uk

2. Microsoft, Redmond, WA, USA

3. Carnegie Mellon University, Pittsburgh, PA, USA

Publisher

ACM

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Center-retained fine-tuning for conversational question ranking through unsupervised center identification;Information Processing & Management;2024-03

2. Rewriting Conversational Utterances with Instructed Large Language Models;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

3. Towards Effective Modeling and Exploitation of Search and User Context in Conversational Information Retrieval;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. Generative retrieval for conversational question answering;Information Processing & Management;2023-09

5. Query Performance Prediction: From Ad-hoc to Conversational Search;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

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