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Conversational question answering (QA) requires the ability to correctly interpret a question in the context of previous conversation turns.
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Albert: A lite BERT for self-supervised learning of language representations
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Open-Retrieval Conversational Question Answering. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 539–548
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, and Mohit Iyyer. 2020 · 2020
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A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering
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Query Resolution for Conversational Search with Limited Supervision. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 921–930
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
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Adversarial Examples for Evaluating Reading Comprehension Systems. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . 2021–2031
Robin Jia and Percy Liang. 2017 · 2031
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Topic Propagation in Conversational Search. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 2057–2060
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, and Ophir Frieder. 2020 · 2060
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