A Framework for Classifying Temporal Relations with Question Encoder

Author:

Seki Yohei,Zhao Kangkang,Oguni Masaki,Sugiyama Kazunari

Publisher

Springer International Publishing

Reference21 articles.

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2. Cheng, F., Miyao, Y.: Classifying temporal relations by bidirectional LSTM over dependency paths. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pp. 1–6, July 2017

3. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, MN, USA, pp. 4171–4186, June 2019

4. Dligach, D., Miller, T., Lin, C., Bethard, S., Savova, G.: Neural temporal relation extraction. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Valencia, Spain, vol. 2, pp. 746–751, April 2017

5. Do, H.W., Jeong, Y.S.: Temporal relation classification with deep neural network. In: Proceedings of the 2016 International Conference on Big Data and Smart Computing (BigComp), Hong Kong, China, pp. 454–457, January 2016

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1. CNN-based framework for classifying temporal relations with question encoder;International Journal on Digital Libraries;2021-10-13

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