A survey of types of text noise and techniques to handle noisy text

Author:

Subramaniam L. Venkata,Roy Shourya,Faruquie Tanveer A.,Negi Sumit

Publisher

ACM Press

Cited by 27 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. Grammatical versus Spelling Error Correction: An Investigation into the Responsiveness of Transformer-Based Language Models Using BART and MarianMT;Journal of Information & Knowledge Management;2024-03-21

2. Noisy Text Data: foible of popular Transformer based NLP models;The Third International Conference on Artificial Intelligence and Machine Learning Systems;2023-10-25

3. EMS-BERT: A Pre-Trained Language Representation Model for the Emergency Medical Services (EMS) Domain;Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies;2023-06-21

4. Effect of Context on Smartphone Users’ Typing Performance in the Wild;ACM Transactions on Computer-Human Interaction;2022-12-20

5. An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection;Journal of Data and Information Quality;2021-04-27

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