Author:
Francis Sumam,Moens Marie-Francine
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Information Systems
Reference50 articles.
1. Bauer, L., Wang, Y., & Bansal, M. (2018). Commonsense for generative multi-hop question answering tasks. In Riloff, E., Chiang, D., Hockenmaier, J. and Tsujii, J. (eds.), Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
2. Baumel, T., Eyal, M., & Elhadad, M. (2018). Query focused abstractive summarization: Incorporating query relevance, multi-document coverage, and summary length constraints into seq2seq models. CoRR, abs/1801.07704.
3. Chen, D., Fisch, A., Weston, J., & Bordes, A. (2017). Reading Wikipedia to answer open-domain questions. In Barzilay, R. and Kan, M. (eds.), Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL. Association for Computational Linguistics .
4. Choi, E., Hewlett, D., Uszkoreit, J., Polosukhin, I., Lacoste, A., & Berant, J. (2017). Coarse-to-fine question answering for long documents. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.
5. Clark, C. & Gardner, M. (2018). Simple and effective multi-paragraph reading comprehension. In Gurevych, I. and Miyao, Y. (eds.), Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL. Association for Computational Linguistics.