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Found 4 papers, 1 papers with code
Adversarial Scrubbing of Demographic Information for Text Classification
Contextual representations learned by language models can often encode undesirable attributes, like demographic associations of the users, while being trained for an unrelated target task.
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
In this work, we design a knowledge-base and prediction model embedded system for spelling correction in low-resource languages.
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited.
Towards Minimal Supervision BERT-based Grammar Error Correction
Current grammatical error correction (GEC) models typically consider the task as sequence generation, which requires large amounts of annotated data and limit the applications in data-limited settings.
