A corpus augmentation approach for improving the performance of dialogue systems in the Greek language-Reference-Cited by-同舟云学术

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A corpus augmentation approach for improving the performance of dialogue systems in the Greek language

Published:2020-09 Issue: Volume: Page:
ISSN:
Container-title:11th Hellenic Conference on Artificial Intelligence
language:
Short-container-title:

Author:

Loumiotis Ioannis¹,Petasis Georgios²

Affiliation:

1. National Technical University of Athens, Greece

2. National Center for Scientific Research 'Demokritos', Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411408.3411464

Reference31 articles.

1. ACL. 2018. Statistics on submissions and reviewing. https://acl2018.org/2018/03/12/reviewing-statistics/. Accessed: 23-05-2020. ACL. 2018. Statistics on submissions and reviewing. https://acl2018.org/2018/03/12/reviewing-statistics/. Accessed: 23-05-2020.

2. Yoshua Bengio Réjean Ducharme Pascal Vincent and Christian Janvin. 2003. A Neural Probabilistic Language Model. J. Mach. Learn. Res. 3 null (2003) 1137–1155. Yoshua Bengio Réjean Ducharme Pascal Vincent and Christian Janvin. 2003. A Neural Probabilistic Language Model. J. Mach. Learn. Res. 3 null (2003) 1137–1155.

3. Piotr Bojanowski Edouard Grave Armand Joulin and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. arXiv preprint arXiv:1607.04606(2016). Piotr Bojanowski Edouard Grave Armand Joulin and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. arXiv preprint arXiv:1607.04606(2016).

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