Papers by Claudiu Cristian Musat

2 papers
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German (2020.lrec-1)

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Challenge: Despite the small pool of speakers, there are still few natural language processing corpora, studies or tools for Swiss German.
Approach: They propose to use a web scraper to generate the largest Swiss German text corpus . they show that the tool can be applied to other low-resource languages as well .
Outcome: The proposed tool significantly improves language modeling in Swiss German, the authors show .
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation (2020.findings-emnlp)

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Challenge: a new architecture for controlling, generating and augmenting text is being developed for supervised NLP tasks.
Approach: They propose a conditional VAE architecture to control, generate, and augment text.
Outcome: The proposed model shows high quality, diversity and attribute control in an ablation task.

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