Processing non-canonical or noisy text: fortuitous data to the rescue

WS 2016 Barbara Plank

Real world data differs radically from the benchmark corpora we use in NLP, resulting in large performance drops. The reason for this problem is obvious: NLP models are trained on limited samples from canonical varieties considered standard... (read more)

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