Fast Semantic Matching via Flexible Contextualized Interaction

Author:

Ye Wenwen1,Liu Yiding1,Zou Lixin1,Cai Hengyi2,Cheng Suqi1,Wang Shuaiqiang1,Yin Dawei1

Affiliation:

1. Baidu Inc., Beijing, China

2. JD.com, Beijing, China

Publisher

ACM

Reference45 articles.

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3. Rewon Child , Scott Gray , Alec Radford , and Ilya Sutskever . 2019. Generating long sequences with sparse transformers. arXiv preprint arXiv:1904.10509 ( 2019 ). Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever. 2019. Generating long sequences with sparse transformers. arXiv preprint arXiv:1904.10509 (2019).

4. Misha Denil , Alban Demiraj , Nal Kalchbrenner , Phil Blunsom , and Nando de Freitas . 2014. Modelling , visualising and summarising documents with a single convolutional neural network. arXiv preprint arXiv:1406.3830 ( 2014 ). Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, and Nando de Freitas. 2014. Modelling, visualising and summarising documents with a single convolutional neural network. arXiv preprint arXiv:1406.3830 (2014).

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

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