Author:
Pradeep Ronak,Liu Yuqi,Zhang Xinyu,Li Yilin,Yates Andrew,Lin Jimmy
Publisher
Springer International Publishing
Reference53 articles.
1. Akkalyoncu Yilmaz, Z., Yang, W., Zhang, H., Lin, J.: Cross-domain modeling of sentence-level evidence for document retrieval. 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. 3490–3496, November 2019
2. Bajaj, P., et al.: MS MARCO: a human generated machine reading comprehension dataset. arXiv preprint arXiv:1611.09268v3 (2018)
3. Clark, K., Luong, M.T., Le, Q.V., Manning, C.D.: ELECTRA: pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555 (2020)
4. Dai, Z., Callan, J.: Deeper text understanding for IR with contextual neural language modeling. In: Proceedings of the 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), pp. 985–988 (2019)
5. Dai, Z., Callan, J.: Context-aware document term weighting for ad-hoc search. In: Proceedings of The Web Conference 2020, p. 1897–1907 (2020)
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