Improving Downstream Task Performance by Treating Numbers as Entities

Author:

Sundararaman Dhanasekar1,Subramanian Vivek2,Wang Guoyin3,Xu Liyan4,Carin Lawrence1

Affiliation:

1. Duke University, Durham, NC, USA

2. Amazon, Boston, MA, USA

3. Amazon, Seattle, WA, USA

4. Emory University, Atlanta, GA, USA

Publisher

ACM

Reference18 articles.

1. Daniel Andor , Luheng He , Kenton Lee , and Emily Pitler . 2019. Giving bert a calculator: Finding operations and arguments with reading comprehension. arXiv preprint arXiv:1909.00109 ( 2019 ). Daniel Andor, Luheng He, Kenton Lee, and Emily Pitler. 2019. Giving bert a calculator: Finding operations and arguments with reading comprehension. arXiv preprint arXiv:1909.00109 (2019).

2. Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments

3. 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).

4. Guillaume Lample , Miguel Ballesteros , Sandeep Subramanian , Kazuya Kawakami , and Chris Dyer . 2016. Neural architectures for named entity recognition. arXiv preprint arXiv:1603.01360 ( 2016 ). Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016. Neural architectures for named entity recognition. arXiv preprint arXiv:1603.01360 (2016).

5. Yinhan Liu , Myle Ott , Naman Goyal , Jingfei Du , Mandar Joshi , Danqi Chen , Omer Levy , Mike Lewis , Luke Zettlemoyer , and Veselin Stoyanov . 2019 . Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019). Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019).

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