On Robustness and Sensitivity of a Neural Language Model: A Case Study on Italian L1 Learner Errors-Reference-Cited by-同舟云学术

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On Robustness and Sensitivity of a Neural Language Model: A Case Study on Italian L1 Learner Errors

Published:2023 Issue: Volume:31 Page:426-438
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Miaschi Alessio¹^ORCID,Brunato Dominique¹^ORCID,Dell'Orletta Felice¹^ORCID,Venturi Giulia¹^ORCID

Affiliation:

1. ItaliaNLP Lab, Institute for Computational Linguistics “A. Zampolli” (ILC-CNR), Pisa, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/09968310.pdf?arnumber=9968310

Reference56 articles.

1. Deep Contextualized Word Representations

2. Understanding Model Robustness to User-generated Noisy Texts

3. A NLP-based stylometric approach for tracking the evolution of L1 written language competence

4. Robust to Noise Models in Natural Language Processing Tasks

5. Linguistic Knowledge and Transferability of Contextual Representations

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study on relationship between adversarial texts and language errors: a human-computer interaction perspective;Behaviour & Information Technology;2024-09-04

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